
51 - 200 employees
Founded 2012
🎯 Recruiter
👥 HR Tech
💼 Consulting
🔥 Funding within the last year
💰 Corporate Round on 2026-06
Recruitment • HR Tech • Consulting
Midwestern is a talent partner focused on the AI era of work. They provide senior, globally sourced and US-led talent as embedded teams, scoped engagements, or recruited hires to help organizations scale capacity, build and ship products, and treat AI as an operating system. Midwestern serves clients from Fortune 500 companies to startups and positions itself as a partner for building teams and executing product and workforce strategies.
🔥 16 minutes ago
🦀 Maryland – Remote
💵 $85k - $110k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
🚫👨🎓 No degree required
👻 Ghost score 0%
Where this job comes from
Posted on Midwestern's careers page, not through a job board
First seen by Remote Rocketship 16 minutes ago

51 - 200 employees
Founded 2012
🎯 Recruiter
👥 HR Tech
💼 Consulting
🔥 Funding within the last year
💰 Corporate Round on 2026-06
Recruitment • HR Tech • Consulting
Midwestern is a talent partner focused on the AI era of work. They provide senior, globally sourced and US-led talent as embedded teams, scoped engagements, or recruited hires to help organizations scale capacity, build and ship products, and treat AI as an operating system. Midwestern serves clients from Fortune 500 companies to startups and positions itself as a partner for building teams and executing product and workforce strategies.
• Own and maintain the data catalog covering vendors, datasets, fields, and calculations • Trace fields and calculated values to their original sources and document defensible lineage • Maintain accurate confidence and status markers and reduce open catalog items • Document vendor data usage and licensing constraints • Write SQL to pull, join, trace, and validate data • Validate calculation engines and derived metrics against inputs and reconcile figures across datasets and products • Investigate discrepancies and identify root causes • Prepare clean, labeled data inputs and extracts for engineering and offshore teams • Partner with the PMO to triage and validate data-related requests • Troubleshoot data issues for the data, algorithm, calculations, and Customer Service teams • Track vendor agreement rights, renewals, gaps, and usage questions • Maintain accurate data holdings records for leadership decisions and audits • Use AI tools to accelerate data mapping, documentation, and repetitive data tasks • Help shape AI-assisted workflows and contribute to the next iteration of the data platform • Keep technical and non-technical documentation current and readable
• 2+ years in a hands-on data role — data analyst, data coordinator, data steward, reporting analyst, or similar • Working SQL proficiency; ability to write queries to trace, join, and validate data • Strong spreadsheet skills (Excel or Google Sheets), including comfort with large and messy datasets • Exceptional attention to detail and follow-through • Clear written communication; documentation can stand on its own • Self-directed execution in an environment where processes exist but are still being built • Interest in growing into broader data responsibility over time • Fintech, financial services, or media/publishing data background (nice to have) • Familiarity with data catalogs, data lineage, or data governance concepts (nice to have) • Experience using AI tools such as Claude, Copilot, or ChatGPT (nice to have) • Exposure to BI tools such as Tableau, Power BI, or Looker, or Snowflake (nice to have) • Understanding of financial calculations and market data (nice to have) • Russian language skills (helpful, not required)
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