
51 - 200 employees
💼 Consulting
📣 Marketing
Consulting • Marketing • Software Development
Midwestern is a company that specializes in software product development, offering embedded services to help businesses deliver high-quality product features efficiently. They focus on providing strategic assessments, technical guidance, and scalable resources to support teams at any stage of their development journey, from MVP prototyping for early-stage startups to quality control for market leaders. Midwestern partners with clients to enhance user experience, speed up deployment, and ensure project success, as demonstrated by their work with clients like You. com and Lyft. Their services include product design, engineering, project management, and brand development, all aimed at creating scalable and elegant solutions that align with user needs and business goals.
🔥 3 hours ago
🦀 Maryland – Remote
💵 $85k - $110k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Midwestern's careers page, not through a job board
First seen by Remote Rocketship 3 hours ago
Still open on Midwestern's site. Checked 31 minutes ago.

51 - 200 employees
💼 Consulting
📣 Marketing
Consulting • Marketing • Software Development
Midwestern is a company that specializes in software product development, offering embedded services to help businesses deliver high-quality product features efficiently. They focus on providing strategic assessments, technical guidance, and scalable resources to support teams at any stage of their development journey, from MVP prototyping for early-stage startups to quality control for market leaders. Midwestern partners with clients to enhance user experience, speed up deployment, and ensure project success, as demonstrated by their work with clients like You. com and Lyft. Their services include product design, engineering, project management, and brand development, all aimed at creating scalable and elegant solutions that align with user needs and business goals.
• 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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