Data Analyst - AI-Driven Insights, Equity + Mentorship

Filetwigbay; St. Louis (MO); On-site; USD 49,000 - 69,000; Full time

Benefits offered by this job

Equity participation

Mentorship from technology leaders

Job summary

TechVantage is seeking a Data Analyst in St. Louis, MO to transform backlogs into reliable analytics workflows. The role offers a freelance cadence with a salary range of $49,000–$69,000 and equity participation, plus mentorship from seasoned leaders.

You will pair Python expertise with Looker deployments, translate product wishes into Hadoop services, and ensure code quality through linting and tests while collaborating with local teams.

Qualifications

• Real Vertex AI chops, plus the Generative AI curiosity to keep growing
• The humility to revise strong opinions when the data argues back
• Detail-oriented approach with a commitment to accuracy
• A keen eye for quality and consistency in your output
• Roughly 1+ years operating in a similar Data Analyst position
• 1+ years navigating the politics that technology work attracts
• 1 years of Vertex AI práctica, plus a hunger for what's next

Responsibilities

• Pair-program tricky Python edge cases with engineers across St. Louis, MO
• Containerize applications and manage deployments with Looker and Python
• Ensure code quality through automated linting, testing, and static analysis
• Translate fuzzy product wishes from TechVantage stakeholders into shippable Hadoop services
• Ship Python fixes to TechVantage customers in St. Louis, MO the same day they report them
• Wire Seaborn APIs to Python consumers so data lands where St. Louis teams expect it
• Walk technology stakeholders through R tradeoffs in language TechVantage execs grasp

Job description

TechVantage is seeking a Data Analyst in St. Louis, MO to transform backlogs into reliable analytics workflows. The role offers a freelance cadence with a salary range of $49,000–$69,000 and equity participation, plus mentorship from seasoned leaders.

You will pair Python expertise with Looker deployments, translate product wishes into Hadoop services, and ensure code quality through linting and tests while collaborating with local teams.