Senior Data Analyst

Talanto; Northern (KY); Hybrid; USD 131,000 - 138,000; Full time

Job summary

Talanto is seeking a highly analytical Data Analytics Engineer to shape the future of financial data, bridging systems, analytics, and business strategy.

In this remote role, you will architect data models, pipelines, and reporting infrastructure to empower Finance with trusted insights, ensure accuracy, and accelerate month-end close while optimizing AWS spend.

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 Snowflake, dbt, and BI tools (Mode, Looker, Tableau).
• Experience building and supporting complex data pipelines with focus on accuracy, compliance, and traceability.
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive).
• Strong communication skills across technical and non-technical teams.

Responsibilities

• Bridge data and business needs by translating requirements into scalable data models.
• Own data initiatives end-to-end with clear deliverables.
• Build dashboards, models, and reporting systems that surface insights for growth.
• Support Revenue Accounting with data products and revenue recognition logic.
• Ensure compliance and governance for SOX and audit readiness.
• Maintain data integrity with validation, monitoring, and reconciliation.
• Drive continuous improvement and cost-aware analytics in AWS.
• Leverage AI/ML tools to enhance financial analytics.

Skills

SQL

Cloud data fundamentals

Communication

Education

Bachelor’s degree in a related field

Tools

Snowflake

dbt

BI Tools

Job description

SQL Python AWS

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

We're transforming the grocery industry

At ••••••••• , 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 ••••••••• Personal Shoppers.

••••••••• 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.

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 your 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 role may be performed remotely 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 ••••••••• , 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.)
• 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)

••••••••• 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.

CO, DE, HI, IL, ME, MD, MA, NH, OR, PA, RI, TX, VT, VA, DC$144,000—$152,000 USD

AL, AK, AZ, AR, FL, GA, ID, IN, IA, KS, KY, LA, MI, MN, MS, MO, MT, NE, NV, NM, NC, ND, OH, OK, SC, SD, TN, UT, WV, WI, WY$131,000—$138,000 USD