Lead Data Analyst

We’re building products that solve real‑world problems, placing customers at the center. Our team is people‑first and values collaboration, curiosity, and commitment.

Job Summary

As a Senior Data Analyst in the platform team, you will own our data‑as‑a‑product strategy from start to finish. You’ll collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You’ll define and implement best practice for data analysis, manage the data analysis backlog, and champion data‑driven decision making across the department.

Job Responsibilities

• Build dashboards, queries, and insight reports for senior stakeholders
• Monitor department KPIs and deliver actionable insights
• Collaborate across teams to interpret requirements into data outcomes
• Define, implement, and manage a new data discipline in the department
• Promote a culture of data‑driven decision making
• Own the data analysis backlog and strategy for maximizing data value
• Automate and scale data operations and reporting
• Lead end‑to‑end data projects from requirements to implementation and monitoring
• Translate business problems and customer requirements into data features
• Partner with product, engineering, operations, and leadership to influence decisions

Required Qualifications

• Proficiency with dbt, BigQuery or similar, Looker Studio, Airflow or similar, pandas/polars, numpy
• Advanced SQL skills for complex queries
• Python proficiency for data modeling and manipulation
• Experience with BI platforms for dashboards and data storytelling
• Strong data visualization and dashboard design skills
• Experience working with large datasets from diverse sources
• Strong statistical analysis, regression, SQL, and ETL skills
• Ability to develop and validate hypotheses via A/B testing, forecasting, etc.
• Experience with data governance, compliance, data quality, and controls
• Ability to communicate complex data findings to stakeholders at all levels

Preferred Qualifications

• Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics)
• Experience with cloud‑native platform infrastructure (GCP, AWS)
• Experience in financial services
• Knowledge of predictive analytics and machine learning fundamentals

Why Join Us?

You’ll be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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