Data Analyst

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Take ownership of and manage the data catalog, including vendors, datasets, fields, and calculations.

• Trace fields and calculated values back to their original sources and document a defensible lineage.

• Ensure accurate confidence and status markers while reducing open catalog items.

• Document the usage of vendor data and any licensing constraints.

• Write SQL queries to extract, join, trace, and validate data.

• Validate calculation engines and derived metrics against inputs, reconciling figures across datasets and products.

• Investigate discrepancies and identify their root causes.

• Prepare clean and labeled data inputs and extracts for engineering and offshore teams.

• Collaborate with the PMO to triage and validate data-related requests.

• Troubleshoot data issues related to data, algorithms, calculations, and Customer Service teams.

• Monitor vendor agreement rights, renewals, gaps, and usage inquiries.

• Maintain precise records of data holdings for leadership decision-making and audits.

• Utilize AI tools to expedite data mapping, documentation, and repetitive data tasks.

• Assist in shaping AI-assisted workflows and contribute to the evolution of the data platform.

• Keep both technical and non-technical documentation up-to-date and easily comprehensible.

⛳️ Requirements

• A minimum of 2 years in a hands-on data role, such as data analyst, data coordinator, data steward, reporting analyst, or a similar position.

• Proficient in SQL with the ability to write queries for tracing, joining, and validating data.

• Strong spreadsheet skills (Excel or Google Sheets), with comfort in handling large and complex datasets.

• Exceptional attention to detail and commitment to follow-through.

• Clear written communication skills, ensuring that documentation is self-sufficient.

• Ability to execute tasks independently in an environment where processes are evolving.

• Interest in expanding into broader data responsibilities over time.

• Background in fintech, financial services, or media/publishing data (preferred).

• Familiarity with concepts of data catalogs, data lineage, or data governance (preferred).

• Experience with AI tools such as Claude, Copilot, or ChatGPT (preferred).

• Exposure to BI tools like Tableau, Power BI, Looker, or Snowflake (preferred).

• Understanding of financial calculations and market data (preferred).

• Proficiency in the Russian language (helpful, but not required).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• Flexible work hours and a hybrid work environment.

• Generous paid time off and holiday policies.