Senior Data Analyst
Join Instacart as a Senior Data Analyst to drive financial data innovation and empower strategic decision-making in a fully remote role.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered.
Requirements
- Experience
- 5–7 years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Analyst at Instacart, the individual will focus on developing and managing data models and reporting systems that enhance financial insights for the Finance and Accounting teams. Proficiency in SQL, cloud data tools like Snowflake, and experience with BI platforms are essential for success in this position. This role is ideal for seasoned analysts with a strong background in data analytics and financial systems, particularly those familiar with compliance standards and large-scale data initiatives. The Financial Data Analytics team plays a crucial role in bridging technical and business needs, driving strategic decision-making across the organization.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Instacart's career page.
- Instacart has 116 other open roles including Government Affairs Manager II, Northwest, Senior Product Designer II - Lifecycle & Growth, Senior Product Designer II - Lifecycle & Growth.
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2273 active SQL roles on Joblaze right now.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Pays more than 31% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Senior Data Analyst role remote?
- Yes — Instacart lists this as a fully remote position.
- What's the salary range?
- Instacart lists $131,000–$152,000 for this role.
- How much experience is required?
- 5–7 years of relevant experience for this Senior Data Analyst role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, AWS, Looker, Mode, Python, SQL.
- What seniority level is this role?
- Instacart targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Analyst role at Instacart.
From the original posting
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
This is a remote role that may be performed from any U.S. State except California, Connecticut, New Jersey, New York, and Washington.
ABOUT THE ROLE
We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.
In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale.
You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.
ABOUT THE TEAM
The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.
ABOUT THE JOB
- Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
- Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
- Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
- Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
- Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
- Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
- Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
- Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.
ABOUT YOU
Minimum Qualifications
- Bachelor’s degree in a related field
- 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
- Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
- Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
- Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
- Strong communication skills with the ability to engage effectively across technical and non-technical teams
Preferred Qualifications
- Public company experience with exposure to SOX compliance
- Background in high-growth technology environments
- Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
- Project management experience a plus
- Demonstrated ability to support Finance and Accounting teams with scalable data solutions
- Cloud cost management experience, ideally in an AWS environment
- Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.