Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany or Poland, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a hands-on Analytics Engineering Manager to lead, scale, mentor, and drive our Analytics Engineering team in Europe. This individual will guide a skilled team of analytics engineers focused on building innovative analytical products, fostering a data-driven culture throughout our organization, and empowering decision-makers at all levels with a reliable source of truth. This role will collaborate with engineering leaders, product managers, and other data experts.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an Analytics Engineering Manager, you will be an integral part of the larger data organization, reporting to the Head of Analytics Engineering based in the US. You will influence decisions and the direction of our overall data platform, including Data Infrastructure and Data Engineering. Furthermore, in this role, you will:

• Build a highly specialized analytics engineering team to support the growing needs and complexity of our product and business organizations.
• Foster a collaborative and high-performance culture within the team.
• Provide hands-on coding, design, and debugging guidance to ensure high-quality technical solutions.
• Set high performance and quality standards, coach team members to meet them, mentor and grow junior and senior IC talent.
• Own the last mile data delivery for product and business stakeholders.
• Form a deep understanding of the business, your partners' opportunities and problems, and how data can solve them.
• Build strong relationships with Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Continuously reevaluate our data ecosystem against industry best practices and new third-party technologies to ensure Grammarly’s analytics stack remains best-in-class.

Qualifications

• Is excellent at using SQL for data pipeline development on top of a modern data warehouse (Databricks, Snowflake, BigQuery, Redshift etc.)
• Has 8+ years of work experience in Analytics Engineering, Data Engineering, or Product Analytics, with at least 3 years of experience in a leadership role
• Has demonstrated ability to lead and mentor a team
• Has strong project management skills and a track record of delivering complex projects
• Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward impact and actionable insights.
• Has a passion for communicating insights through the language of data.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

#LI-NS4

Overview

Join us as our Lead, People Analytics and shape the future of Instacart’s team with your data expertise!

Are you passionate about transforming data into stories that not only inform but inspire action? We're searching for a dynamic Lead, People Analytics to spearhead our team and turn complex data into strategic initiatives that boost both employee satisfaction and business outcomes. In this pivotal role, you'll leverage your deep understanding of HR functions and analytics to guide our talented People Analytics team, providing impactful insights and fostering informed decision-making throughout our organization.

About The Role

As the Lead, People Analytics at Instacart, you will:

• Develop and execute a long-term roadmap for people analytics, focusing on high-impact data products and insights.
• Collaborate with HR Business Partners and cross-functional teams to prioritize analytics needs and foster a culture of strategic data utilization.
• Elevate decision-making within the People organization by developing and implementing advanced analytical tools, intuitive dashboards, and comprehensive training programs
• Lead projects to answer key business questions, influencing decisions through data visualization and persuasive storytelling to senior leadership.

About the Team

You will lead the Instacart People Analytics Team, a crucial component of our HR framework, which focuses on leveraging data to enhance organizational performance and employee engagement. The team partners extensively with other business units to deliver actionable insights and foster a data-driven culture throughout the company.

About the Job

In this role, you will:

• Own and enhance the analytic frameworks that influence our people strategy, from data collection to insight generation.
• Build and manage a high-performing team of analysts to support the development and execution of the people analytics vision.
• Establish robust data management practices to ensure accuracy and security in handling sensitive employee information.
• Drive innovative analytics solutions and predictive models that support strategic HR initiatives and business operations.
• Design, execute, and analyze employee surveys, with a strong ability to develop strategic survey initiatives and translate results into actionable insights for organizational improvement.

About You

Minimum Qualifications

• 8+ years of experience in analytical roles, focusing on data-driven decision making.
• 5+ years of experience in People Analytics or related HR analytical functions.
• Experienced team manager, demonstrating strong leadership skills and empathy in dynamic settings.
• Strong capability to work collaboratively across various departments, communicating analytical concepts effectively to diverse stakeholders.
• Proficient with data technologies, structures, and analytics platforms essential for modern HR functions.
• Demonstrated ability to handle sensitive data with the highest levels of integrity and confidentiality.
• Exceptional presentation skills, with a proven track record of effectively communicating with executive audiences

Preferred Qualifications

• Exceptional analytical and problem-solving skills, with a proven ability to turn complex data into actionable insights.
• Adaptability to change, with a flexible and positive approach to shifting priorities and challenges.
• Experience in developing comprehensive reports, dashboards, and metrics that effectively track and predict organizational outcomes.
• Experience with OneModel or Visier a plus

#LI-REMOTE

Overview:

The Revenue Analytics Manager will be pivotal in conducting advanced analytics to drive insights and recommendations across the Sales, Advertiser Success and Marketing teams. This role is critical in advancing our revenue analytics capabilities, from identifying business challenges to implementing solutions that drive growth and efficiency. A successful candidate will lead critical operational processes including quota setting, account segmentation, and in-depth analysis of performance indicators to support our leadership in assessing and enhancing revenue performance.

About the Job: 

• Take ownership of monthly, quarterly, and annual Revenue Analytics processes, including Account Segmentation, Account Planning, Quota Planning, Sales Performance Management, and Customer Health monitoring.
• Conduct data analysis to draw conclusions and provide recommendations. Develop a deep understanding of our business, delivering strategic insights to guide decisions across go-to-market teams.
• Champion the automation of analytics processes to increase efficiency and accuracy. Identify opportunities for streamlining workflows and implement solutions that enhance the speed and reliability of data-driven decision making.
• Collaborate on developing a comprehensive end-to-end lifecycle marketing strategy to maximize customer engagement and lifetime value.
• Identify initiatives to enhance customer retention, decrease churn, and boost upselling and cross-selling opportunities.
• Manage and execute initiatives from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations
• Conduct complex root cause analyses on intricate business problems, synthesizing insights, and developing clear and concise recommendations. Identify, analyze, and interpret trends or patterns in complex data sets to inform strategic decisions.
• Spearhead the design and analysis of data and business processes as required to enhance operational efficiency.
• Develop and maintain analytics dashboards and process documentation, including a document repository and standardized reporting frameworks. 
• Work closely with partners across Sales, Strategic Finance, Product Analytics, Product, and Marketing to align efforts and decisions with data.

About You: 

• A Bachelor’s degree in Business, Analytics, Statistics, or a related field. A Master’s degree or MBA is preferred.
• 5+ years of experience in revenue and/or analytics or business intelligence, preferably within a tech or e-commerce environment.
• Demonstrated proficiency with data analysis tools (e.g., SQL, Python, R) and BI tools (e.g., Tableau, Mode).
• Strong understanding of sales operations and pipeline management.
• Experience in data governance and understanding of sales and martech tools.
• Excellent communication and collaboration skills, with a proven ability to work across functions and influence change.
• Strategic thinker with an analytical mindset, capable of translating complex data sets into actionable insights.
• Demonstrated ability to engage and influence C-level executives and key stakeholders. Skilled in navigating complex organizational structures to foster collaboration and drive consensus across diverse business units.

#LI-Remote

How will this role have an impact?

We are looking for a dynamic and passionate Manager to help achieve Signify’s vision of moving care homeward for all. We expect this role to engage with users to develop a deep understanding of business problems, be able to convey that understanding in requirements to development teams, define and track metrics, and provide high-quality analytics deliverables.  In this role you will have the opportunity to collaborate with cross-functional peers including engineers, user experience designers, operations leads, product managers and analysts to support execution of the product roadmap. We expect the Manager to find creative solutions to solve logistical problems for our in-home businesses. Our innovative products, industry, and competition are evolving and growing quickly, and we are excited to add to our collective expertise. Finally, the Manager is expected to develop and implement predictive models with product and operations teams to streamline our in-home delivery service.

The Manager, Analytics will be a key member of the Signify Healthcare Delivery Product team.  You will develop impact analyses for key analytics projects and deliverables, ensuring return-on-investment (ROI). Our team is guided by the company’s mission to build a healthier place for us all to live and age in. If you’re looking for a rewarding career opportunity and working with a highly motivated and experienced cross functional team that is passionate about solving the hardest problems in the US healthcare system, this is the role for you.


What will you do?

• Develop an expert level understanding of Signify’s core product offerings and analytics technology
• Deliver defined work in the Healthcare Delivery Product Analytics backlog on time and with high quality.
• Define, track, report out, and explain metrics representing the value of the product.
• Lead strategic analytics projects to on-time, on-budget delivery.
• Become a key partner with Product, Technology and Analytics teams to drive key Signify objectives.
• Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business.
• Communicate progress, barriers, priority and budget regularly with SI leadership.
• Communicate and Coordinate regularly with analytics resources to execute SI’s strategic priorities.
• Lead A/B testing initiatives of net new features in our Member Engagement and conversion domain.

We are looking for someone with:

• 8 or more years of relevant experience
• Strong SQL, Python, or R skills and ability to perform effective querying involving multiple tables and subqueries
• Experience with SQL and BI tooling is strongly preferred
• Examine, interpret and report results of analytical initiatives to stakeholders
• Build, develop and maintain health data models, reporting systems, dashboards and performance metrics support that support key business decisions
• Experience and knowledge of statistical modeling techniques. A/B Testing experience in a product analytics capacity is a plus
• Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner

The base salary hiring range for this position is $108,900 to $189,700. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  Eligible employees may enroll in a full range of medical, dental, and vision benefits, 401(k) retirement savings plan, and an Employee Stock Purchase Plan.  We also offer education assistance, free development courses, paid time off programs, paid holidays, a CVS store discount, and discount programs with participating partners. 

About Us:

Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.

Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs.

To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com

Diversity and Inclusion are core values at Signify Health, and fostering a workplace culture reflective of that is critical to our continued success as an organization.

We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.