Analytics Engineer

Virtasant • Austin, TX

56d

About The Position

The Analytics Engineer is the first set of eyes on client data. They ingest, clean, and structure messy datasets, surface initial dashboards and visualizations, and prepare early data assets to support both business decision-making and downstream AI/ML experimentation. In Gigster pods, they provide the quick wins and clarity needed to set projects on the right path.

Requirements

• Proven experience ingesting and profiling data from varied sources (structured, semi-structured, unstructured).
• Fluency in SQL and Python (pandas, Jupyter) for data wrangling and exploratory analysis.
• Ability to deliver clear visualizations and dashboards (Tableau, Power BI, Looker, or equivalent).
• Experience running exploratory data analyses (EDA) to uncover patterns, anomalies, and signals.
• Strong communication skills for discovery sessions with SMEs and translating domain knowledge.

Nice To Haves

• Analytics engineers, data analysts, or business intelligence professionals with hands-on SQL/Python skills.
• Engineers who have worked as the first data resource on digital transformation or AI prep projects.
• Backgrounds in consulting, SaaS, or enterprise analytics teams delivering quick wins and foundational assets.

Responsibilities

• Ingest and profile client data from varied sources; assess quality, completeness, and gaps.
• Run exploratory analyses (EDA) to uncover patterns, anomalies, and business-relevant signals.
• Collaborate with SMEs to align raw data with business definitions and validate assumptions.
• Produce dashboards and visuals that provide quick wins and shared context.
• Deliver cleaned, structured datasets enabling downstream AI/ML experimentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees