Fast Facts

Grammarly is seeking a Finance Analytics Lead to establish their Finance Analytics team, providing critical insights and analytics to shape strategic decision-making and enhance business performance.

Responsibilities: The role involves creating and maintaining data products, developing predictive models, fostering collaboration across departments, and leading data-driven discussions with senior leadership.

Skills: Candidates must be fluent in SQL, have experience with analytical tools like Python or R, and possess strong communication skills to translate data into compelling narratives.

Qualifications: Preferred qualifications include experience in product analytics or business intelligence within SaaS or tech, demonstrated leadership abilities, and a strong curiosity for data analysis.

Location: This position is hybrid and based in San Francisco, allowing flexibility between in-office and remote work.

Compensation: $216000 - $297000 / Annually

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the trusted AI assistant for communication and productivity, helping over 40 million people and 50,000 organizations do their best work. Companies like Atlassian, Databricks, and Zoom rely on Grammarly to brainstorm, compose, and enhance communication that moves work forward. Grammarly works where you work, integrating seamlessly with over 500,000 applications and websites. Founded in 2009, Grammarly is No. 7 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

We’re looking for a highly analytical, technically fluent, and business-savvy individual to be the founding member of our Finance Analytics team at Grammarly. This role sits within Finance but functions at the intersection of Finance, Data Science, Analytics Engineering, Product, and GTM. You will be responsible for surfacing the key metrics that define the health of our business, interpreting what’s behind the numbers, and communicating those insights regularly to our CFO and senior leadership team.

This role is ideal for someone who writes SQL in their sleep but also knows how to tell a story that moves a room. You will use advanced analytics to drive strategic decision-making, provide insights into our subscription-based business model, help optimize cloud spend, and support financial forecasting.

This is not a back-office data role. It’s a front-line leadership opportunity to shape how we run our business and build our product. You’ll have a direct line to the CEO & CFO, with influence at the highest levels, and access to some of the most interesting questions in our company. If you want to help a scaling company in a generation-defining market make smarter, faster, data-driven decisions, this is your seat at the table.

In this role, you will:

• Establish the foundation of a technical analytics team within Finance at Grammarly, creating processes and best practices.
• Partner with FP&A teams to develop predictive models, support financial planning and forecasting, optimize cloud spend, and model unit economics.
• Drive the company’s analytical narrative and priorities, partnering closely across FP&A, Data Science, and other XFN analytical partners to shape the leadership team’s mental model for how our business works.
• Create and maintain data products and reporting systems that provide actionable insights to leadership.
• Partner with Analytics Engineering to develop scalable data pipelines and infrastructure to support financial analytics.
• Partner with Data Science to analyze user behavior, conversion funnels, feature adoption, and other product KPIs to inform business strategy.
• Lead a high-visibility cadence with senior leadership, surfacing actionable insights.
• Design and own core metric definitions in partnership with the Data org.
• Help shape the data culture of the company — from metric hygiene to storytelling fluency.

Qualifications

• Experience in product analytics, business intelligence, or data-driven roles in SaaS or tech companies.
• Fluency in SQL and one or more analytical tools/languages like Python or R.
• Experience working closely with product teams, engineers, and data engineers.
• Strong business acumen and the ability to see around corners.
• Exceptional communication skills — both written and verbal — with a knack for turning numbers into narrative.
• Demonstrated leadership experience, whether through formal management or cross-functional influence.
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

United States: 

Zone 1: $216,000 to $297,000/year (USD)

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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