Job Description

Experian is looking for an experienced Full-Stack Software Developer to support our growing Experian Housing and Verification Business. You will improve the development of Mortgage Capital Market solutions. You will design, implement, and automate data and platform solutions, and deploying machine learning models for both client. You will work with very complex and different data sets such as mortgage loan-level data, Residential Mortgage-Backed Securities data, Climate Risk and economic datasets to develop solutions across the mortgage lifecycle, including servicing, risk management, and capital markets.

Main Responsibilities:

• Understand the analytic and product needs of the mortgage servicing and capital markets industry through interactions with internal product management, sales leaders, clients, and partners.
• Work with the product team to understand the customer problem, requirements and brainstorm on solution
• Design cost-effective solutions and create an incremental delivery plan
• Support analytical projects from solution design to implementation, ensuring data integrity and automation.
• Architect and build data pipelines and platform design to help deploy data solutions from back-end databases and data lakes to front-end platform UI.
• Develop and maintain data pipeline infrastructure and front-end solutions.
• Experience approaching a problem from different angles, analyzing pros and cons of different solutions and data products and services, while enhancing current processes and offerings.
• Develop dashboards and reports using data visualization tools.
• Communicate analysis results to internal users through presentations.
• Evaluate new data sources and apply machine learning, deep learning, data mining, and text mining techniques to uncover data value.
• Collaborate with a team of consultants, statisticians, analysts, and project managers.
• Manage project queues and develop streamlined workflows with teams.

Qualifications

• Advanced degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or Economics).
• Basic experience with API services (Restful) for data ingestion.
• Fundamental experience with Large Language Models and GenAI for augmenting data solutions.
• 5+ years of experience in analytics in financial services and/or the mortgage industry.
• Advanced experience with Python API (PySpark), SQL, scripting languages (e.g., Python), and familiarity with statistical/mathematical programming languages (e.g., R, SAS).
• Experience with front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.
• Experience in cloud-based development environments and automation tools such as AWS and Airflow.
• Background in ML Ops and end-to-end modeling platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML).
• Experience with data visualization and dashboarding tools such as Tableau (preferred).
• Expertise in statistical analysis, machine learning techniques, predictive modeling, and data mining.
• Experience communicating updates and resolutions to customers and other partners to both technical and non-technical audiences.

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Who We Are
TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes.

Our core values, defined and embodied by Tetra Leadership, are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate and also embody the following values:

• Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
• Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
• Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
• Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
• Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
• Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

Who You Are

You thrive on working well with others.You make the people around you better. You love to collaborate with fellow team members, customers, field engineers, executives, and inspire them to do their best.

You relentlessly strive to excel in your craft.You are passionate about building, observing and operating distributed systems at scale in production. You understand the challenges and trade-offs to be made when building and deploying new systems to production and are willing to challenge the boundaries of the scale.

You consistently seek understanding and clarity.You look at every interaction as an opportunity to learn. You aren’t afraid to ask questions. You have the humility and confidence to not be the smartest person in the room.

What You Will Do

• Translate scientific data workflows into a solution leveraging the Tetra Data Platform
• Own, scope, prototype, and implement solutions ranging from:
• Programmatically interrogate proprietary instrument output file
• Data structure design using JSON schemas
• Python-based parser development
• Lab software (e.g. ELN/LIMS) integration via APIs
• Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI)
• Interview customers to understand key scientific and business requirements
• Work with customers to test and ensure a solution fulfills their requirements and solves their need
• Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions
• Proactively communicate implementation progress and deliver demos to customer stakeholders
• Lead sprint-planning and prioritization for your use case or account
• Facilitate internal project retrospective meetings and identify areas of improvement or productizable components
• Assist product team to build and prioritize roadmap by understanding customers’ pain points within and outside Tetra Data Platform

• >5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
• >3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
• Ability to quickly understand a highly technical product and effectively communicate with product management and engineering
• Passionate about science and building solutions to make data more accessible to end-users
• Intellectually curious: unwavering drive to learn more every day
• Intellectually resilient: able to overcome setbacks and find alternate solutions
• Excellent communications skills, attention to detail, and the confidence to take control of project delivery
• Team player and ability to "roll up your sleeves" and do what it takes to make the team successful
• Travel to customer sites within EMEA (up to 20%)
• Nice to have: hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture

• Competitive Salary and equity in a fast-growing company.
• Supportive, team-oriented culture of continuous improvement.
• Generous paid time off (PTO).
• Flexible working arrangements - Remote work.

No visa sponsorship is available for this position.

#LIRemote

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Job Description

We are looking for a driven Senior Product Manager who is laser-focused on addressing customer pain points and needs. You will take ownership of the entire lifecycle and roadmap for Vizlib Analyticsand Extensions that are customer-facing, with a strong focus on frontend user experience and customization. The role involves ensuring smooth operations between product, engineering, support, professional services, and IT, while working to deliver exceptional solutions. 

Key Responsibilities: 

• Product Ownership: Manage Qlik BI frontend extensions from insightsoftware, focusing on end-user touchpoints (frontend, user experience, customization). 

• Feature Ownership: Prioritize feature development, defect resolution, and technical debt for Qlik BI frontend extensions ensuring features are in line with customer needs. 

• Product Development: Collaborate with engineering and UX Design teams to develop Qlik products and frontend capabilities aligned with the company's vision for Office of the CFO (oCFO). Be involved in every step of the product lifecycle, from ideation and requirement definition to execution and implementation. 

• Commercialization: Contribute to Vizlib pricing and packaging strategies. 

• Collaboration: Work closely with the VP of Product and Director of Product on product strategy and collaborate across the organization to ensure product-market fit, feature development, and successful product launches. 

• User Engagement: Enhance in-product user experience and focus on long-term value delivery. Act as the customer advocate with engineering, ensuring product-market fit and overall product health. 

• Backlog & Roadmap Ownership: Own and manage the engineering backlog and product roadmap, ensuring alignment with broader ISW Qlik product goals. 

• Marketing Collaboration: Partner with product marketing managers to achieve product-market fit and support go-to-market strategies. 

Qualifications

• Strong product management skills, including user-centered design, product thinking, and end-to-end user experience. 

• Proven ability to balance strategic vision with tactical execution. 

• Excellent communication skills, with a focus on customer empathy and cross-functional collaboration. 

• Experience working with engineering teams to define, prioritize, and implement product features. 

• Ability to manage multiple stakeholders and prioritize competing demands. 

• Experienced with Qlik (or Power BI, Tableau, Looker) and dashboard development. 

• Experienced in working with data and visualizations. 

• Nice to have: experience in BI implementation projects. 

• Bonus: Familiarity with frontend technologies or UX/UI design principles. 

• Bonus: Experience with cloud-based analytics or enterprise-level BI implementations. 

• Strong analytical skills with the ability to interpret data to drive decision-making. 

• Comfortable with agile methodologies and fast-paced product development environments. 

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Description du poste

À votre arrivée, vous rejoignez notre équipe Data Services de Forvis Mazars, constituée de plus de 60 consultants spécialistes de la data, répartis sur 2 hubs (Paris La Défense, New York). Nous couvrons l’ensemble de la chaîne de valeur de la donnée : Data Strategy et qualification de cas d’usage, Gouvernance et qualité des données, Data Visualisation, Data Science, Data Engineering et Data Architecture. Notre histoire commence avec une petite équipe dédiée à Paris La Défense, qui s’est rapidement étendue à New York, reflétant notre croissance et notre ambition internationale. Nous croyons fermement que le Data Engineering est la pierre angulaire de cette industrie, et nous mobilisons une stack technologique riche et variée pour servir nos clients.

Après une phase de formation à nos méthodes et outils, vous intervenez sur des missions de Data Engineering sur un portefeuille de clients du CAC40 et SBF120, en France et à l’international :

• Vous intervenez sur l’amélioration de la performance opérationnelle de nos clients au travers de l’exploitation et la valorisation de données sur des cas d’usage métier concrets (stratégie, marketing et vente, R&D, finance, RSE, etc.).
• Vous animez le développement de bout en bout de flux de données, de l’extraction/transformation jusqu’à leur consommation (API, BI/Visualisation..)
• Vous proposez et mettez en œuvre le déploiement et l’intégration continus de pipelines sur plusieurs paradigmes : serverless cloud (AWS Lambdas, Azure Functions, GC Functions, Kubernetes) ou cloud privé (OpenNebula, CloudStack, CephFS).

Pourquoi rejoindre l’aventure ?

• Accompagnement par des experts : Nos Associés en charge de l’équipe Data Services possèdent une expertise rare, notamment en MLOps (CI/CD opérationnelle depuis 2013). Ils participent activement aux projets les plus innovants du cabinet et à la création de start-up technologiques acquises par Mazars. Cet environnement exigeant et formateur vous propulsera au sommet des bonnes pratiques en coding et en opérations, garantissant un delivery projet de qualité.
• Autonomie et ambition : Vous évoluerez dans un écosystème jeune, dynamique et responsabilisant, avec de fortes ambitions de croissance. Impliquez-vous dans le développement du Lab Mazars et contribuez à la construction de notre offre de service en conseil data.
• Hacking spirit : Nous valorisons une veille technologique constante, à la pointe des technologies open-source les plus performantes. Nos consultants se forment en permanence pour élargir leur socle de compétences.
• Cabinet international : Rejoindre Forvis Mazars, c’est intégrer un cabinet aux dimensions internationales et bénéficier d’opportunités de carrière variées : bootcamp data, learning center de pointe (Forvis Mazars Academy, LinkedIn Learning, etc.) et mobilités internationales.
• Partagez avec nous la fierté d’apporter des solutions pertinentes à nos clients. Vous vous surpasserez sur des sujets techniques variés et ambitieux, au sein d’une équipe humaine et bienveillante !

Qualifications

Nous recherchons des candidats passionnés par la data, stagiaire de fin d'études avec une formation Bac+5 (école d’ingénieur ou 3ème cycle dans un domaine connexe à la data). Vous avez montré un intérêt pour le développement applicatif intégrant une composante Data à travers des stages, cours ou projets personnels.

Compétences requises :

• Langages de programmation analytique (Python, R, Haskell, Rust, etc.)
• Couches de persistance (MySQL, MongoDB, ElasticSearch, S3, Neo4j)
• Expérience avec Linux (Ubuntu, Debian, CentOS) et systèmes de contrôle de version (Git)
• Familiarité avec les chaînes d’intégration continue

Compétences supplémentaires appréciées :

• Qualité logicielle et DevOps (GitLab, Ansible, Docker, Terraform)
• Interaction avec des équipes fullstack (RestAPI, VueJS, ReactNative)
• Expérience avec des fournisseurs de cloud (Azure, AWS, GCP)
• Chaîne d’analyse prédictive (scikit-learn, TensorFlow)
• Outils de Business Intelligence (Power BI, Qlik, Tableau)

Vous êtes curieux(se), autonome, entreprenant(e) et faites preuve d’initiatives. Vous maîtrisez l’anglais oral et écrit.

Vous serez basé(e) à Paris, avec des déplacements possibles en province et à l’étranger.

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Description du poste

TechnicAtome recrute pour l'établissement de Saclay un(e) Gestionnaire Administration des ventes (ADV) Confirmé(e), avec une expérience sous SAP. 

Rattaché(e) au Responsable Comptable et fiscal vos principales missions seront les suivantes :

ADV – Administration Des Ventes :

Le service ADV a pour fonction de gérer administrativement un contrat de vente, cela signifie:

• Analyser, conceptualiser un échéancier de facturation à partir d’un contrat,
• Evaluer et réaliser des révisions de prix,
• Prévoir l’emploi d’une caution bancaire,
• Suivre les avances forfaitaires,
• Etablir un chiffre d’affaires réalisé (facturé) et prévisionnel,
• Répondre aux attentes du chef de projet interne à la société et du client.

ADV Reporting :

• Elaborer le Tableau des Affaires de la Société (suivi mensuel de la constitution du chiffre d’affaires à l’avancement),
• Elaborer le Carnet de commandes (suivi des entrées de commandes mensuelles sur une année),
• Suivre mensuellement et annuellement le nombre de factures émises et leur valorisation,
• Effectuer les contrôles mensuels associés à la comptabilisation des factures du mois et aux reports de dates d’échéances,
• Suivre les impayés.

Qualifications

Titulaire d’un BAC+2 en comptabilité et gestion, vous disposez à minima de 3 ans d’expérience en tant qu’administrateur(rice) des ventes.

A l’aise avec les outils informatiques notamment SAP, EXCEL, CHORUS PRO.

Reconnu(e) pour votre adaptabilitéet votre polyvalence, vous savez prioriseret organiservotre travail afin de respecter les enjeux et délais attendus. Par ailleurs vous savez faire preuve de persévéranceet d’autonomie, de discrétionet de précision, et appréciez le travail en équipe.

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Job Description

We are currently looking for a Process Engineering Data Architect with a strong background in data science to join our growing Corporate Transformation Office at Brightspeed. In this role, you will be responsible for driving Operational Excellence through optimization, design, and implementation of cross-functional processes and systems. This role requires a deep understanding of data engineering principles, as well as familiarity with data analysis and machine learning concepts. You will accelerate value creation by establishing & owning an end-to-end structured program to “audit, improve, control and drive continuous improvements” across key cross-functional customer-facing and back-end processes for maximum efficiency and effectiveness. You will lead the Process Engineering function in a hands-on manner, leveraging Six Sigma, AI / Robotic Process Automation, and other industry-leading techniques to perform business simulation of end-to-end customer journeys such as ordering, installation, activation, payment, etc. across sales and care channels. Additionally, you will review selected back-end cross functional processes that maximize customer, frontline and shareholder value. You will be responsible for ensuring team & stakeholder accountability against Operations Excellence charter, delivering end-to-end results rapidly, and creating the right level of transparency to the key stakeholders to promote collaboration and effective adoption. You will conduct comprehensive program review across all process engineering initiatives, inclusive of risk / mitigation assessment and proactive ways to continuously improve customer and shareholder value in a prioritized / targeted manner. In this position, you will prepare comprehensive reports and presentations summarizing the status of process engineering initiatives, including key milestones, achievements, and challenges. You will present findings to senior leadership and stakeholders, actionable insights, and recommendations for improvement. 

As a Process Engineering Data Architect, your duties and responsibilities will include: 

• Design, develop, and maintain scalable data pipelines and ETL processes to facilitate data extraction / collection, transformation, and loading / storage
• Collaborate with Transformation Office and business stakeholders to understand data requirements and provide the necessary data infrastructure
• Optimize and improve existing data architectures and processes for efficiency and performance
• Ensure data quality, integrity, and security across all data sources and storage systems
• Develop and implement data models to support analytics and machine learning applications
• Monitor and troubleshoot data workflows to ensure timely and accurate data delivery
• Stay current with emerging technologies and best practices in data engineering and data science

Qualifications

WHAT IT TAKES TO CATCH OUR EYE:

• 3+ years of experience in data engineering, with a preference for candidates with a background in data science
• Bachelor’s degree in computer science, Data Science, Engineering, or a related field from a top tier university; Master’s degree preferred
• Proficiency in programming languages such as Python, Java, or Scala 
• Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., Snowflake, Redshift)
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical analysis
• Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL)
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. 
• Excellent problem-solving skills and attention to detail
• Effective communication skills and the ability to work collaboratively in a team environment

#LI-SS1

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Ready to embark on the quest of joining Hack The Box?

At the end of this thrilling journey, you'll become a proud member of Hack The Box, with the ultimate mission to help redefine cybersecurity expertise. Get ready for an exciting adventure into the world of cybersecurity! ????????????

✨The core mission of the Senior Analytics Engineer:

HTB’s Analytics team is looking for a Senior Analytics Engineer, who will enable data analysts and various stakeholders to make data-driven decisions.

As a Senior Analytics Engineer, you will be able to get creative & build stuff from scratch. You will participate in end-to-end projects, from gathering the business requirements by having deep business conversations, to creating the final solution. Main focus for the Analytics Engineer will be to understanding the business needs and then develop and maintain data pipelines to serve the organization.

???? The fellowship you’ll be joining:

Our analytics team, consisting of 4 people, collaborates with multiple departments within HTB, like Product, Finance, Revenue Operations , Sales & more. Our day-to-day tasks span from product feature analysis to systematic revenue reporting that enables a data driven mindset for all HTBers.

⚔️ Technology tools & weapons you’ll be using:

• SQL
• Dbt
• Snowflake
• Python
• (Tableau)

???? The adventures that await you after becoming a Senior Analytics Engineer at Hack The Box:

• Develop, monitor, maintain, optimise and troubleshoot data pipelines to ensure data is accurate and timely
• Build and optimise data models (using python, SQL ,dbt or similar tools) to support business reporting and analysis needs.
• Implement data quality checks and validation routines to maintain high standards of data integrity.
• Document data models, data transformations, and business logic for transparency and knowledge sharing.
• Collaborate with data analysts, data scientists, product teams and other business stakeholders to define data requirements, business logic, and reporting needs.
• Collaborate with other departments to assist in implementing automations for routine tasks and data operations to streamline workflows.
• Assist in designing and developing new reports, dashboards, and visualisations based on business needs.
• Evaluate and recommend new tools or process improvements to optimise data workflows and enhance productivity.
• Provide support and guidance to other team members on data-related matters
• Help build a data-driven culture across HTB by identifying areas where data could add value.
  
  

???? Skills, knowledge, and experience points required to unlock the role of the Senior Analytics Engineer at Hack The Box:

• Proficiency in SQL for complex querying, data transformation, and performance optimization (5+ years).
• Strong Experience in data modelling and data pipelines.
• Strong skills in Python for data manipulation, automation, and building scalable data solutions.
• Experience with Git for version control and collaborative development.
• Strong business acumen.
  

???? Nice to have

• Experience with tools such as dbt and Prefect for building, scheduling, and managing data pipelines.
• Familiarity with data quality frameworks and governance practices, including the use of tools like Datahub
• Familiarity with handling data from commonly used 3rd party CRM, Billing and Finance applications ( like Hubspot, Salesforce, Stripe, Zuora, Recurly, Netsuite)
• Experience with collaboration platforms like Confluence, JIRA, for project and task management.

????️ What your Hack The Box adventure will have in store:

• ????You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.
• ???? You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.
• ???? You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows.
• ???? Most importantly, you'll have a blast at HTB ???? because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!

????The gems you’ll be enjoying as a Senior Analytics Engineer :

• Private health care
• Paid paternity leave
• 25 annual leave days
• Free lunch & snacks at the office
• Dedicated budget for training and professional development, participation in conferences
• Full access to the Hack The Box lab offerings; so you can learn how to hack ????
• State-of-the-art equipment (mac, iPhone, and mobile plan)
• Flexible WFH (Hybrid Model) - Fully Remote is also an option if you're not an Attica resident
  

????️ The Quest of Becoming Hack The Box’s Senior Analytics Engineer:

• Level 1: To complete level one’s objective, submit your application. 
• Level 2: Meet the Talent Acquisition team. Level’s objective: highlight your past achievements, ambitions, and values.
• Level 3: Meet the hiring manager. Level’s objective: connect with the hiring manager and share with them your achievements. 
• Level 4: Complete an assignment that aligns with day-to-day job-related tasks and responsibilities, and have a constructive conversation over the assignment.
• Level 5: Congratulations! Not many reach this level ????. Level’s objective: have a constructive, final conversation with the PM you're going to be working closely with, explore the role and your future at HTB. 
• Level 6: You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer. 
• Quest complete. Congratulations, you’re officially one of us ????????????Your next quest: complete the onboarding.

Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box! ????????????

At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of disruption, growth, and adventure, we can't wait to meet you!

ABOUT HACK THE BOX

Hack The Box is the Cyber Performance Center with the mission to provide a human-first platform to create and maintain high-performing cybersecurity individuals and organizations. 

Hack The Box is the only platform that unites upskilling, workforce development, and the human focus in the cybersecurity industry, and it’s trusted by organizations worldwide for driving their teams to peak performance. Offering an all-in-one environment for continuous growth, assessment, and recruitment, Hack The Box provides solutions for all cybersecurity domains. 

Launched in 2017, Hack The Box brings together the largest global cybersecurity community of more than 3 million platform members. Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.

???? Exciting News:

• We are super proud to share that HTB’s all three entities across the UK, US, and Greece have been Certified as a Great Place to Work (Oct 2023-Oct 2024). 
• Furthermore, in 2024 the HTB's Greek entity has been listed by the Great Place to Work Institute as the  #2 Best Workplace in Greece and #10 Best Workplace in Europe (among Small & Medium Workplaces????).
• Take a sneak peek at how it is to be part of HTB and our 2023 Global Retreat. Get more insights about our HTB culture and employee experience by visiting the “about us” section of our site, our career site, and Glassdoor.

At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.

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Job Description

The primary responsibility of the Growth Paid Media Strategist position is working closely with our Director of Performance Marketing to find new growth initiatives and building new paid media campaigns that drive new clients to our practices by: 

• Standing up net new paid media initiatives across multiple advertising channels from discovery and planning through implementation and optimization  

• Having an excellent project management foundation to manage multiple projects and hold our internal & external stakeholders accountable for the timely execution of deliverables and launch dates  

• Regularly audit and analyze campaign performance to identify optimization opportunities and drive campaign performance 

• Takes an iterative and intentional test-and-learn approach to A/B testing to drive performance and growth 

• Draw insights from campaign results to make data-driven recommendations to maximize performance 

• Work closely with internal and external stakeholders to implement optimizations that improve performance and surpass KPI benchmarks & targets 

• Regularly perform competitive gap analyses to identify untapped growth opportunities 

• Owning and driving performance results to reach and exceed key performance goals and benchmarks 

• Working in a collaborative environment with cross-functional stakeholders to support practice growth 

• Help develop quarterly and annual roadmaps that ladder up to and achieve the company’s key business goals 

• Share performance and learnings with internal teams and senior leadership  

Qualifications

As our resident growth marketer, you will play a central role in driving new paid media initiatives that help the company hit our growth goals. To be successful in this position, the candidate must be a subject matter expert and be able to perform each duty satisfactorily. The responsibilities listed below represent the knowledge, skill, and/or experience required to fill the role’s responsibilities.  

Education/Experience 

• Bachelor’s degree preferred, equivalent experience and/or proven track record of results accepted 

• 3-5 years of direct, hands-on paid media & paid social experience 

• Google Ads, Meta ads, and Microsoft Ads experience is highly desired 

• Local Service Ads, re-targeting, re-marketing, new client campaigns, and demand gen campaign experience is highly desired 

• 2-3 years of project management experience 

• Experience successfully working with third party marketing agencies to achieve common goals 

• Experience working cross-functionally to better understand the business objectives across multiple departments and deploy marketing initiatives to achieve them 

• Hands-on experience building and optimizing full-funnel paid advertising campaigns to achieve key business objectives 

Skills/Knowledge 

• Successfully managed 25+ paid media accounts while achieving campaign / growth goals 

• Proven experience simultaneously managing multiple projects to effectively coordinate tasks and deliver projects on schedule 

• Experience working in Asana, Monday, etc. is highly desired 

• Intermediate knowledge of Microsoft Excel with excellent quantitative and qualitative skills, and basic knowledge of Word, PowerPoint, etc. 

• Comfortable aggregating performance data from multiple sources and mining for insights 

• Current Google Ads certification  

• Current Meta Ads certification 

• Comfortable using Google Analytics (GA4) and Tableau 

• Performance driven, growth mindset and not satisfied with the status quo 

• Mathematically minded and makes decisions using hard data 

• Excellent verbal & written communication skills 

• Self-motivated, self-starter that’s comfortable working autonomously or in a collaborative group environment 

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Job Description

Experian is looking for an experienced Lead Technical Product Manager with expertise in Capital Markets to support our growing Experian Housing and Verification Business. This is a remote positin reporting to Senior Product Director. You will design and lead the roadmap for differentiating Mortgage Capital Market products and solutions. You will bring in expert-level understanding of mortgage capital market landscape, market dynamics and industry-wide product offerings. You will work with very complex and different data sets such as mortgage loan-level data, Residential Mortgage-Backed Securities data, Climate Risk and economic datasets to develop solutions in capital markets.

You will have expertise in product discipline, product management, and roadmap creation. Have critical thinking and creative solutioning capabilities. Experienced in working with cross-functional teams and excels in a fast paced environment.

Job Responsibilities:

• Product Strategy: Drive the prioritization and development of product vision, strategy, and roadmap for mortgage capital markets products, including mortgage-backed securities (MBS) and mortgage servicing rights (MSRs).
• Market Analysis: Conduct market research and competitive analysis to identify opportunities and inform product decisions. Stay updated on trends in mortgage rates, housing markets, and regulatory changes.
• Stakeholder Management: Collaborate with internal and external stakeholders, including engineering, sales, marketing, and clients, to gather requirements and ensure alignment. Facilitate communication between technical and non-technical teams.
• Technical Leadership: Work with engineering teams to design, develop, and deliver high-quality products that meet market needs like risk management tools, and data analytics solutions for mortgage portfolios.
• Project Management: Oversee the product development lifecycle, from concept to launch, ensuring delivery and adherence to quality standards. Manage project timelines, budgets, and resources.
• Performance Monitoring: Track product performance, analyze important metrics, and implement improvements to enhance product effectiveness and user satisfaction. Use data-driven insights to improve product features, and functionality.
• Compliance: Ensure products comply with relevant regulations and industry standards.

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Qualifications

• Education: Bachelor's degree in computer science, Engineering, Finance, or a related field. MBA or advanced degree.
• Experience: Minimum of 8+ years of experience in product management, with at least 3 years in mortgage capital markets or a related field.
• Technical Skills: Good understanding of technical aspects of software development, data analysis, and financial modeling. Familiarity with tools like SQL, Python, and Tableau
• Leadership: Experience leading teams and managing complex projects. Experience with Agile methodologies.
• Analytical Skills: analytical and problem-solving skills, with a data-driven approach to decision-making.
• Industry Knowledge: Experience with mortgage finance, capital markets, and regulatory requirements. Knowledge of MBS and MSRs is necessary .

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Job Description

The position of Business Intelligence Analystis a home-based role within the healthdivision of NEC Software Solutions working on web-based applications supporting our registries and screening business areas and includes working as part of Agile teams using a user-centred design approach with documented user stories as well as some work under Waterfall methodologies with documented functional specifications.

This role will be working as a Business Intelligence Analyst within the Product & Proposition team, where you will:

• Create clear and concise user stories/functional specifications to accurately reflect the requirements for a given project, documenting detailed information as required in a manner which is easy to understand
• Become a Subject Matter Expert on your designate product line
• Produce mock-ups and wireframes for review with internal and external stakeholders
• To create and manage change requests with regards to changes in project scope
• Contribute to agreement and sign-off of user stories/specifications with the customer
• Respond to queries from development and QA teams
• Liaise with the Product Owner/Manager to ensure requirements are in line with the product strategy
• Learn and understand the business contexts, processes and protocols that our systems support and deliver for our customers
• Work with internal teams (IT and Business) to ensure smooth knowledge transfer and transition to Business as Usual (BAU) state
• Communicate and collaborate effectively with many different team members across the business and technology areas
• Ensure agreed standards applicable to the work undertaken are adhered to
• Attend user group and customer meetings to obtain and respond to feedback
• Deliver demonstrations and showcases to customers as required 
• Develop, optimise and document business processes
• Work closely with developers, architects, other business analysts, and the client's representatives to define the direction, approach and requirements to project manage design and development
• Gathering, identifying and documenting business requirements

The role of Business Intelligence Analyst is home-based; however, travel will be required throughout the United Kingdom to liaise with customers as required to suit the needs and demands of the products.

This is a crucial analysis role that will allow you the ability to learn and enhance your analytical skills and interpret client requirements along with building your business domain knowledge. You will take full responsibility for the functionality you document, ensuring that it delivers on the business needs, engages users, and is maintainable and robust. You will be highly motivated and able to demonstrate an excellent mix of analytical and technical skills with a thirst for knowledge and a willingness to learn new skills.

As a Business Intelligence Analyst, you will contribute to a team-wide process of continual improvement for NEC Software Solutions and in return you will be rewarded with a structured career path.

Qualifications

Essential:

• Extensive previous experience in the IT industry (e.g., through a placement) OR has demonstrable relevant experience within the IT industry ideally with Healthdata 
• Excellent written & verbal communication skills
• Ability to deliver in a fast-moving environment with changing priorities.
• Strong interpersonal/team skills
• Strong understanding of data modelling and data warehouse concepts
• Knowledge of database management systems like SQL Server, MySQL
• Ability to write complex SQL queries to extract and manipulate data
• Advanced skills in Microsoft Excel, including pivot tables, VLOOKUP, and macros
• Knowledge of Extract, Transform, Load (ETL) processes and tools
• Familiarity with programming languages like Python or R for data analysis and automation.
• Understanding of scripting for data processing and transformation.
• Familiarity with BI tools such as Power BI, Tableau, QlikView, or Looker.
• Ability to create dashboards, reports, and visualizations.
• Advanced MS Office skills
• Highly self-motivated with excellent time management and prioritisation skills, with a proven ability to work to deadlines.
• Ability and desire to deliver an excellent level of customer service.
• Confident in quickly understanding and working with complex datasets.
• Confident to build relationships and communicate effectively with senior stakeholders.
• Undaunted when encountering problems or challenges and keen to determine a solution.

Desirable

• Statistical, IT or business-based degree
• Basic database / SQL experience
• Capability to analyse complex data sets and draw meaningful insights
• Use of formal Analysis methodology, tools and technical e.g., User Stories, UML, use cases.
• HTML or XML experience
• Familiarity of wireframe tools like Balsamiq
• Fluency with the Agile work methodology
• An enthusiasm for the use of technology in improving healthcare.

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Description du poste

L’ADN de l’équipe Data Consulting – Qui sommes-nous ?

En rejoignant notre équipe Data Consulting, vous contribuerez à valoriser le patrimoine de données des organisations en intervenant sur l’ensemble de la chaîne de valeur : stratégie, gouvernance, intégration, mise en qualité et valorisation. En s’appuyant sur un collectif fort de +60 experts, vous accompagnerez des organisations publiques et privées, de la définition de la stratégie data à la mise en œuvre des projets de transformation, tout en assurant la conduite du changement chez ces derniers.

Nos partenaires nous choisissent pour notre expertise ciblée, notre approche personnalisée, notre offre multisectorielle en s’appuyant sur un collectif fort offrant un cadre épanouissant. Vous évoluerez au sein d’une équipe dynamique, dans un écosystème qui valorise l’intrapreneuriat, l’excellence et le goût du défi.

Le poste

Rejoignez-nous et faites partie de cette aventure et participez à des projets passionnants au cœur des enjeux data ! Nous recherchons un talent de qualité pour intégrer notre offre data stratégie et gouvernance afin de nous accompagner chez les clients et animer des sujets internes. Le thème de stage sera de réaliserun Dashboard power BI pour le suivi des recrutements pour l’entité Mazars Data consulting.   

Dans le cadre de la cette mission vous allez devoir

• Définir le besoin : qualifier les différents indicateurs à suivre pour le recrutement et les KPIs communs à MDC et l’équipe RH
• Identifier les solutions de la maison et les sources de données à utiliser
• Coconstruire la solution avec le maitre de stage et les parties prenantes
• Tester la solution en qualification
• Déployer la solution à l’échelle de l’entité.  
• Modéliser les données sources du Dashboard

Qualifications

L’équipe actuelle évolue dans un contexte de travail très positif, dynamique et bienveillant. Pour vous y intégrer pleinement, vous avez déjà eu l’occasion de démontrer vos compétences en communication écrite et orale, en exprimant clairement et efficacement des idées et des informations.

Vous avez envie de vous investir dans une équipe en forte croissance et possédez un esprit d’équipe et d’initiative. Votre capacité à travailler efficacement en équipe, à collaborer avec les autres et à contribuer à un environnement de travail positif est essentielle.

De tempérament humble mais assuré, vous savez convaincre de la pertinence des solutions que vous apportez. Etudiant (e) en fin d’études ingénieur vous combinez les critères essentiels suivants :

• Profil fin d'études : bac+5 en école d’ingénieur ou en école de commerce
• Spécialisation : filière data ingénieur et data analyse
• Skills : suite office, développement DAX, modélisation data, outils BI (PBI, Tableau, etc)
• Langue : anglais obligatoire.

Enfin, la rigueur et la curiosité sont des qualités indispensables pour ce poste.

Date de début : Janvier 2025 (6 mois minimum).

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