The Healthcare Data Analyst is responsible for supporting Vatica’s Growth team in all areas of corporate business engagement and development, with a focus on provider value-based care priorities. These services include, but are not limited to, development of rapid client-facing outputs in support of new sales and expansion of existing relationships, enable visibility to risk adjustment market metrics, support other organizational efforts leveraging analytics. The Healthcare Data Analyst will serve as a bridge to Vatica’s core analytics team, filling time-sensitive needs with rapid-response solutions and subsequently supporting migration to institutional tools when appropriate.

Responsibilities:

• Gather, interpret, and employ internal and public data to support identification of clear actions to drive corporate growth. 
• Convert data to accurate business intelligence and then effective presentation. 
• Present and contribute to direct provider value-based care prospect and existing client interactions.
• Refresh, interpret and distribute core analytics to support regular meetings and workgroups. 
• Contribute to design and development of data-driven client solutions. 
• Consume and analyze public value-based care data to support performance and growth.
• Complete geo mapping to identify and support prospective clients 
• Evaluate members overlap between organizations as needed. 
• Prepare Campaign load data in format defined by Salesforce administrator, and initiate Campaign load with Salesforce administrator following final approval. 
• Analyze data related to practice/provider participation, to identify opportunities to increase number of participating providers (in existing practices) and new practices participating in Vatica’s programs. 

• 3-5 years’ Experience working in value-based care analytics, preferably in risk adjustment

• Demonstrated ability to build strong client relationships, communicate complex information clearly, and deliver engaging presentations, ensuring client satisfaction and effective collaboration.
• High proficiency with data sets, Microsoft Excel and PowerPoint and other Microsoft Suite applications (MS Access)
• Strong understanding of relational databases and high proficiency with database tools 
• Experience with Azure, Power BI or similar applications.  Experience with SQL, R, and/or PySpark and Azure Synapse preferred
• Ability to ingest and interpret complex internal and external business-related data sets
• Ability to work quickly to develop rapid solutions to meet immediate needs. 
• Direct experience with risk adjustment (CMS HCC) understanding core metrics such as condition prevalence, HCC scoring, etc. 
• Experience pulling data from disparate platforms to create an accurate unified picture used to drive business decisions. 
• Experience in Salesforce.com CRM (Preferred) 
• Excellent multitasking and prioritization skills with a proven ability to manage multiple, simultaneous projects to completion. 
• Highly organized and detail oriented. 

WORKING AT VATICA HEALTH ADVANTAGES

Prosperity

• Competitive salary based on your experience and skills – we believe the top talent deserves the top dollar
• Bonus Potential (based on role and is discretionary) – if you go above and beyond, you should be rewarded
• 401k plans– we want to empower you to prepare for your future
• Room for growth and advancement- we love our employees and want to develop within

Good Health

• Comprehensive Medical, Dental, and Vision insurance plans
• Tax-free Dependent Care Account
• Life insurance, short-term, and long-term disability

Happiness

• Excellent PTO policy (everyone deserves a vacation now and then)
• Great work-life balance environment- We believe family comes first!
• Strong supportive teams- There is always a helping hand when you need it

The salary for a position is typically determined by multiple factors such as the individual's qualifications, experience, skills, and location. The projected compensation range for the position may vary based on these factors and could range from $80,000 to $90,000 (annualized USD). However, this estimate represents just one aspect of our total compensation package offered.

Are you up to the challenge? What are you waiting for? Apply today!

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Data Analyst

Location:Fully Remote, UK or willing to work UK hours

Contract Type:Full-time, permanent, 40 hour per week Mon-Fri, subject to a 6 month probation

Interviews: Max 3 stages totalling around 3.5 hours

Reports to: Head of Product & Technology

Salary:We have benchmarked a salary in the region of £42-£50k, dependant upon experience

Why join us? ????

We are a profitable SaaS business servicing the needs of international law firms and government departments, mostly in the USA and UK. We’re on a mission to help our clients become as efficient as possible when it comes to managing huge volumes of information - so that lawyers and business leaders can stay on top of the news that matters, and as a result make faster and better decisions.

The Role:

We are looking for our next Vabler and are seeking a Data Analyst. The ideal candidate will play a pivotal role in driving insights that fuel user acquisition, retention, and expansion through the product itself. You will leverage data to understand user behaviour, measure success, and optimise our customer journey.

You’ll act as a strategic partner, ensuring that all teams are aligned and data-driven insights are used to drive decision-making. We know that you will have meticulous attention to detail, excellent analytical skills, and the ability to work collaboratively across our fully remote team. Your expertise will help shape data-driven strategies to support our continued growth in the competitive SaaS market.

We would love to hear from you if you have the criteria below: ????

• A Bachelor’s Degree in Data Analytics, Statistics, Computer Science, or a related field.
• Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is a plus)
• Proficiency in data analysis tools and languages, such as Python, R or similar for advanced data manipulation and analysis.
• Have an understanding of the data pipeline, with a familiarity of ETL processes to ensure clean, usable data.
• Familiarity with statistical analysis techniques e.g., regression, hypothesis testing.
• Experience working with large datasets and deriving actionable insights.
• Proficient in Lucene query syntax for querying and analysing data in OpenSearch.
• Strong SQL skills for working with AWS Quicksight to create reports and visualisations.
• Advanced Excel capabilities for quick data manipulation and supplementary analysis.
• Experience working with Google Analytics for user behaviour tracking and performance metrics.
• Familiarity with Hotjar for heatmaps and user interaction insights.
• Ability to define and monitor product KPIs and OKRs, with insights into user funnels and retention metrics.
• Effective communication and interpersonal skills, with the ability to work collaboratively across teams and present findings to both technical and non-technical stakeholders.
• The right to live and work within the UK or a self employed contractor who can work UK hours, within Europe.
• Worked within a remote team before and have experience of how it operates.

What would your responsibilities look like? ????

• Collect, clean,andanalysedata from various sources to identify trends and insights.
• Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights.
• Provide statistical analysis to validate experiment results and recommend next steps.
• Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms.
• Partner with the Client Success team to identify andtrack key metrics driving client satisfaction and retention. 
• Develop models to predict churn and identify at-risk users.
• Provide training and tools for teams to access and utilise data effectively.
• Build and maintain dashboards for real-time monitoring of these metrics.
• Interpret data and generate actionable recommendations for us as a team.
• Analyse client behaviour to understand engagement patterns, activation rates, and drop-off points.

This is a great opportunity for you if:

????‍♂️You are interested in Product Led Growth and want to play a pivotal role in shaping data-driven strategies and providing insights that directly impact the company’s growth in a fast-paced environment.

???? Work in Tech with an established product and have autonomy in your role.

???? Become a Vabler and join a great team, fostering a culture of collaboration.

???? Join a company looking to scale and who understands people are their greatest asset.

???? Be part of a fully remote and globally distributed team.

About you: ????

As a Data Analyst, your role is pivotal in driving data-driven decisions within Vable and ensuring our success with the data provided. In addition to our essential criteria we will be looking for the following mindset:

• You’re passionate about using data to solve complex problems and drive impactful change.
• You’re self-motivated, work independently and take pride in delivering high-quality, impactful analysis.
• You proactively identify patterns, risks, and opportunities to build scalable, data-driven solutions.
• You're curious about how things work and how you can improve them.
• You're a collaborator who can build relationships across multiple teams,  in an honest and meaningful way.

• You’re structured and like organisation.
• You’ve an excellent work ethic and can manage workloads well.
• You are able to work effectively within a remote team, it can have its challenges.

To be successful in this role, your values matter just as much as skills. Does this sound like you?✨

????We are Kind and Empathetic = Our behaviour and words assume the best in people

????We are Always A Team = We are bound together by accountability

????We are Curious = A bunch from various backgrounds. We ask questions, plan things out, push the boundaries, challenge the status quo and welcome creativity

????We Take Ownership & Deliver = We are focused on our goals and love the details

✅Why work for Vable? 

• You want ownership of the Data Analytics within Vable.
• We have a culture that we protect, we value the contributions each Vabler makes.
• We encourage constant learning so you can keep up to date. A yearly budget of £250 is made available to each Vable employee for continuous learning and development.
• We encourage creativity and like new ideas and concentrate on the Cultural Add, not fit.
• We provide comprehensive healthcare cover following probation.
• You receive a MacBook, monitor and other required technical equipment when you join.
• 33 days of paid leave a year inclusive of statutory holidays, based on where you live.
• Access to an Employee Assistance Programme through Oliva.
• We like our virtual socialsand really do like to get to know everyone in the team.
• We are well established; we have been around for 20 years.

❌Why it may not be for you:

• We are a 40 hour week, Mon-Fri and have core hours, unless stated otherwise or agreed. Being a small remote team, it's how we operate.
• We have set norms and behaviours and each Vabler is expected to live up to these.
• While your primary focus will be on data analytics, you’ll collaborate with various departments, addressing diverse needs and functions while adapting to shifting priorities. If you prefer a narrowly defined role, this may not be the right fit.
• We have various meetings per week and people are expected to attend and contribute.
• Our roles are quite generalist and you will be expected to do areas that you perhaps don’t like or feel is not your job. No Vabler has this attitude and we get stuck in and pull our sleeves up.  If this isn’t you, best not apply.  
• Everyone has the opportunity to query, ask questions, have new ideas and we will give you our opinion. We operate on continuous feedback and recognition. This isn’t for everyone and if this makes you uncomfortable or it’s not your thing, this may not be the right fit.
• We are very transparent and all work is stored on shared drives. Colleagues will give input and it’s expected that you will actively adhere to this approach.

Interview Process ????

1. Intro Call: You will meet a member of the People team for an initial discussion about your background, motivations and experience.
2. Interview: If after the intro call, we’re excited to proceed, you will be invited to a second stage interview with the Head of Product & Technology and another applicable manager.  This stage will involve a task.
3. Final Interview:Will be with the Head of Product & Technology.

???? We record all of our interviews, with your permission. It makes it easier as we are globally distributed.  

Vable is an equal opportunity employer. All applicants will be considered for employment regardless of race, religion, sex, sexual orientation, gender identity, national origin or disability status.

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About World Business Lenders (www.wbl.com)World

Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.

WBL is a U.S. based company with a100% remote workforce.

This is a remote Contract/Consultant position. Generally, working hours will be 9:00am-6:00pm Eastern, Monday through Friday, although hours worked may be greater based upon operational requirements.

The job requires excellent oral and written command of the English language.
Resumes must be submitted in English.

Job Description:

The Data Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.

Essential Functions:

• Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.
• Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
• Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.
• Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.

• 100% fluency in English, with exceptional English verbal and written communication skills
• Bachelor’s degree in Data Engineering, Finance.
• 2 years of experience in data engineering, finance, or related roles preferred.
• Needs to have advanced SQL, Power BI and VBA experience
• Familiarity with data security practices (preferred but not mandatory).
• Excellent communication skills to work effectively with cross-functional teams.
• Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.

• Contract (Contractor)/Consultant position
• Compensation DOE
• 11 US Paid Holidays

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About World Business Lenders (www.wbl.com)World

Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.

WBL is a U.S. based company with a100% remote workforce.

This is a remote Contract/Consultant position. Generally, working hours will be 9:00am-6:00pm Eastern, Monday through Friday, although hours worked may be greater based upon operational requirements.

The job requires excellent oral and written command of the English language.
Resumes must be submitted in English.

Job Description:

The Data Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.

Essential Functions:

• Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.
• Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
• Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.
• Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.

• 100% fluency in English, with exceptional English verbal and written communication skills
• Bachelor’s degree in Data Engineering, Finance.
• 2 years of experience in data engineering, finance, or related roles preferred.
• Needs to have advanced SQL, Power BI and VBA experience
• Familiarity with data security practices (preferred but not mandatory).
• Excellent communication skills to work effectively with cross-functional teams.
• Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.

• Contract (Contractor)/Consultant position
• Compensation DOE
• 11 US Paid Holidays

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At Fenergo, our aim is to future-proof Client Lifecyle Management through our award-winning SaaS based solutions that empower financial institutions. With the expertise of our 700 employees across 11 offices worldwide we enable our clients to improve operational efficiencies and return on investment, manage compliance with KYC, AML and reduce risk with continuous monitoring of clients and transactions throughout the client lifecycle.  

Fenergo dynamically manages any client type, any product type and every client journey for all segments, channels and devices. 

As a company we value collaboration with cross functional teams, driving employee engagement and are champions of diversity and inclusion. As we continue to grow and evolve, we look for team members who will make a meaningful impact, contribute to a positive work environment and shape the future of our organisation. 

Join us as we build a workplace where talent thrives and together, we achieve new heights of success! 

What Will You Do?

You will play a key role in designing, building and maintaining key dataset and models across the organisation which are driven from our cloud-based data lake infrastructure on AWS. You will work closely with a ringfenced team of system engineers, data analysts and a delivery manager to implement best practices for data management and contribute to the overall success of our data platform. This role is ideal for an enthusiastic individual with a strong analytical background who is passionate about working on innovative data projects.

Responsibilities:

• Collect, process and analyse data to derive insights and inform business decisions.
• Develop and maintain datasets and data models.
• Create visualizations and reports to present findings to stakeholders.
• Identify trends, patterns, and anomalies in data.
• Collaborate with teams to define data requirements and goals.
• Ensure data quality and integrity.
• Stay current on industry best practices and data analysis techniques.
• Utilize statistical and analytical tools to interpret data.
• Monitor and maintain data quality through regular audits and assessments.
• Collaborate with data governance teams to establish data quality policies.
• Create and maintain data quality documentation.
• Train and educate employees on data quality best practices.
• Perform data profiling and analysis to identify potential data quality problems.
• Utilize data quality tools and technologies to improve data accuracy and consistency.

Expectations

• 3+ years in a Data Analytics role.
• You have good experience with data visualization tools such as Tableau or Power BI
• You have strong critical thinking skills and ability to analyse complex datasets
• You are proficient in data analysis tools such as SQL, Python or R, middleware solutions such as Workato and have some experience with Snowflake, DBT or Redshift
• You are a storyteller, who can communicate your insights to your team and cross functionally
• You are great at prioritising, you know when to say yes and equally importantly, you know when to say no and you do that the right way
• You are curious, asking great questions, looking to always improve how we work and how you can grow professionally and personally

Our Promise To You  

We are striving to become global leaders across all of the categories we operate in and as part of that we are a high-performing highly collaborative team that works cross functionally to accommodate our clients needs.   

What we value is at the CORE of how we succeed: 

• Collaboration: Working together to achieve our best 

• Outcomes: Drive Success in every engagement  

• Respect: A collective feeling of inclusion and belonging 

• Excellence: Continuously raising the bar 

• Healthcare cover through the VHI 

• Company pension contribution  

• Life assurance/ Income protection 

• 23 days annual leave 

• 3 company days 

• Annual bonus opportunity 

• Work From Home set-up allowance 

• Opportunity to work with clients and colleagues on a global scale for a world leader in Client Lifecycle Management 

• Other competitive company benefits, such as flexible working hours, work from home policy, bike to work scheme, sports and social committee, weekly fitness and sports classes and much more 

• Buddy system for all new starters 

• Collaborative working environment 

• Extensive training programs, classroom and online, through ‘Fenergo University’ 

• Opportunity to work on a cutting-edge Fintech Product, using the latest of tools and technologies 

• Defined training and role tracking to allow you see and assess your own career development and progress. 

• Active sports and social club 

• State of the art offices in the heart of Dublin’s Docklands with great facilities, canteen and games area 

Diversity, Equality, and Inclusivity 

Fenergo is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, where all employees are valued, respected, and can reach their full potential. We do not discriminate based on race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law. Our hiring decisions are based solely on qualifications, merit, and business needs. We believe that a diverse workforce enriches our company culture, fosters innovation, and contributes to our overall success. We strive to provide a fair and supportive environment for all employees, promoting equal opportunities for career development and advancement. We encourage all qualified individuals to apply for employment opportunities and join our team in contributing to a collaborative and inclusive work environment. 

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Description du poste

Points obligatoires :
Capacité à réaliser des analyses statistiques et exploratoires
Construction de dashboards de suivi des performances pour la prise de décisions business
Participation à la mise en place et à l’analyse de tests A/B
Réalisation d’études approfondies pour mieux comprendre les clients et les offres, et proposition de modèles adaptés

Compétences techniques :
SQL
Excel
Forte capacité analytique
Compréhension des enjeux business

Qualifications

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Job Description

• Design and maintain Tableau dashboards to provide actionable business insights
• Define key metrics and KPIs, identifying the levers that drive them
• Understand the platform architecture and identify opportunities for optimization
• Develop and maintain data pipelines and dashboards that track the performance and usage of APIs, ensuring real-time visibility into operational metrics
• Investigate platform issues, identify root causes, and provide insights to inform the product roadmap
• Equip team members with the necessary tools, reports, and guidance to leverage insights and make informed decisions
• Promote best practices in analytics techniques across the organization's technology stack

Qualifications

• 2-4 years of experience in data analysis or related field
• Proficiency in SQL, Python, or R for data manipulation and analysis
• Experience with data visualization tools such as Tableau or Power BI
• Strong statistical analysis skills and understanding of statistical methods
• Advanced Excel skills, including pivot tables and VBA
• Expertise in data mining, data cleansing, and data quality control techniques
• Understanding of business intelligence and data warehousing concepts
• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field

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Job Description

You will develop an understanding of all the data loading principles and best practices, follow best practices and established procedures, and collaborate with team members for technical growth and understanding.

• Help with operational escalations.
• Troubleshoot data loading errors and inconsistencies while following the established processes.
• Engage with data furnishers, both written and verbally, while validating submitted data or completing project work.
• Participate in daily scrum meetings to review escalations, worst cases, and any blockers that limit the ability to perform assigned responsibilities.
• Escalate appropriate issues to senior team members while overseeing the issue resolution.
• Research reporting history before and during all work related to data furnishers.
• Field support calls directly from data furnishers and other internal personnel.
• Enroll in and pass assigned training that is within the role’s responsibilities.
• Participate in internal project and change acceptance testing.
• Provide input in weekly change reviews and in areas that require processing or procedural enhancements.

Qualifications

• Basic skills in SQL and relational database technology.
• Basic process management and project tracking skills.
• Understanding of ETL.
• Basic in data analysis tools and report development I.e (Excel (can perform complex functions) , Tableau, Alteryx, others).

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Title: Mid Level Developer

Location: 100 % Remote

Duration: 6- 12 months Contract

Rate: $Open

• Bachelor’s degree in computer science is a plus

• Experience with just backend Go/Postgres or just frontend React/React Native.

• Strong initiative and a collaborative spirit
• Flexibility & creativity, with the ability to work well on (tight) deadlines

Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

We look forward to hearing from you at the earliest!

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At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for an exceptional Senior Data Analyst to join the team and help expand the value we deliver across Plum.

You will be part of a well established Product Analytics team, consisting of Data Analysts embedded across Product, Marketing and Operations, supporting the companies decision making through data.

You will join to be accountable for the roadmap of insights and analytics related to a specific Product Pillar consisting of multiple Squads, working as a key reference and point of mentorship for Data Analysts at lower seniority levels.

What will you do

• Lead and manage a small team of Data Analysts (1 to 3) across a Product Pillar consisting of multiple Squads. You will work as a key enabler to effective prioritisation and mentorship across the Pillar.
• Become domain expert across an area at Plum, establishing yourself as the point of contact for analytical support.
• Help the teams you work with identify the opportunities (new features, products, bugs etc) they should focus on, by linking these to impact on the metrics of interest.
• Propose and define success KPIs and guide the teams towards data-driven decision making around these.
• Work closely with Product Managers, Engineers and Marketeers at Plum to impact size opportunities and estimate the impact these had once released.
• Produce deep dive analysis that influence the trajectory of the team’s roadmap.
• Data modelling and analysis of key concepts, KPIs and patterns using dbt, BigQuery and SQL.
• Create interactive and informative dashboards and reports in Looker.
• Plan, implement, and analyse A/B tests to evaluate the impact of new product features against KPIs.
• Most importantly, you will have the opportunity to work on a modern Data platform (BigQuery, Looker, dbt), surrounded by an eclectic team of great Data professionals covering areas such as Product Analytics, Data Science and Data & Analytics Engineering.

Who you are

• You have strong analytical intuition with a demonstrated ability to solve complex problems and extract actionable insights from data.
• Potential to grow as a manager and ability to demonstrate the qualities needed to be an effective mentor.
• You demonstrate ability to work independently and with rigour, whilst optimising for impact.
• Excellent cross-functional collaboration (Product, Engineering, Design, Marketing), translating business requirements into strong technical solutions.
• You value attention to detail and know how to balance quality and speed.
• You are impact driven, love a challenge, and have a self-starter mindset.
• You’re team-oriented, keen to share your knowledge and grow professionally.
• Previous experience on Fintech, B2C digital businesses and/or fast-paced scale-up environments is very valued.

Plum's Perks

• We're all in this together! Own part of the company through stock options ????
• Annual training budget
• Private Health & Life Insurance
• Free Plum Premium subscription (normally £9.99 a month)
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in central Athens for optimal collaboration
• 45 days work from anywhere
• Team breakfast on Tuesdays and team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
• 1 day paid leave for volunteering, supporting you giving back to society
• 2 weeks paid sabbatical after four years of service
• Team trip to secret destinations once a year ✈️
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

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