Senior Data Analyst - Office of the Chief Data Officer, Central Analytics
The Senior Data Analyst at Confidential Client's Office of the Chief Data Officer leads product analytics to transform complex data into actionable AI-driven insights that influence product strategy and decision-making. This role involves innovating data solutions, driving business intelligence through data visualization and analysis, and ensuring data quality and governance within a collaborative, cross-functional environment. The position requires expertise in scripting languages, data platforms, and process improvement methodologies, contributing to a modern, scalable enterprise data ecosystem.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Financial Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client (Financial Services) is hiring a Senior Data Analyst to lead product analytics and drive data-informed decisions across enterprise data products and platforms. You will turn complex data into actionable insights, design dashboards and measurement frameworks, build well-managed data solutions (including Snowflake-based work), and support data governance and quality practices. This is a hybrid role based in McLean, VA.
What You’ll Do
- Lead product analytics to measure and improve product and platform performance.
- Design and build dashboards, metrics, and self-service analytics for stakeholders.
- Partner cross-functionally with Product, Technology, Design, Risk, and other teams to translate business needs into analytics solutions.
- Use open-source and cloud technologies to explore and process large and varied data sources.
- Build well-managed data solutions and tools that enable scalable, repeatable insights.
- Implement and drive data quality practices: metadata, lineage, business definitions, and monitoring.
- Support data access governance and security by collaborating with technical teams.
- Rapidly evaluate new technologies and incorporate them into analytics solutions where appropriate.
Basic Qualifications
- Bachelor’s degree (or in progress) in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 2 years of data analytics experience — OR a Master’s degree (or in progress) with expectation of completion before start date.
- At least 1 year of experience with a scripting language (Python, R, Spark, or SQL).
- At least 1 year using a business intelligence / visualization tool to produce dashboards and reports.
- At least 1 year querying, analyzing, and working with data languages and platforms (e.g., SQL, data warehouses).
Preferred Qualifications
- Master’s degree in a STEM or quantitative discipline.
- 2+ years coding experience in Python, R, Spark, or SQL.
- Experience with Snowflake services and developing within cloud data platforms.
- Familiarity with AWS services.
- Experience with data governance, data quality management concepts and tools (for example, Informatica DQ).
- Experience with process improvement or delivery methodologies (Agile, Lean, Six Sigma).
Location & Work Model
- Work location: McLean, VA (hybrid). You are expected to follow the confidential client’s hybrid on-site policy for the designated office.
- The confidential client will consider sponsoring qualified applicants for employment authorization where applicable.
Compensation & Incentives
- Salary range (McLean, VA): $111,200 - $126,900 (annual, full-time). This range applies to candidates hired to perform work within McLean, VA; actual offers will be reflected in the candidate’s offer letter.
- This role may be eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Why Join
- Work on enterprise-scale data challenges in Financial Services.
- Influence product strategy through analytics and AI-enabled insights.
- Opportunity to build modern, scalable analytics solutions and improve data quality and governance practices.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range