Data Analytics Engineer-W2 Only at Stash Talent Services

• Job Location Oakland, CA
• Seniority Mid-Senior Level
• Type Full-time

Description

Job Title: Data Analytics/Reporting Dashboard Engineer Preference: Hybrid-Oakland, CA or Charlotte, NC Duration: 12+ Months Interview Process: Technical SQL assessment (required for all candidates) Two interviews after the assessment Role Breakdown 60% data manipulation: -Build tables/views -Shape/transform data for reporting needs 40% dashboarding / visualization Dashboarding / BI Tools They’re moving away from Looker and are toward Amazon QuickSight Acceptable alternatives: Tableau, Power BI, Qlik Testing Knowledge Should understand A/B testing fundamentals -Audience segmentation, experiment context -They won’t run experiments independently, but need to understand how it works and how to interpret/report on it What they’re looking for This is NOT a Data Engineer role (no ETL pipeline building) Profile is closer to an Analytics / Reporting Developer building: -Reports, dashboards, and data views -Curated datasets from the warehouse (they leverage the warehouse, not engineer it) Strong plus: Consumer banking / fintech experience Examples mentioned: SoFi, Chime, Robinhood Qualifications 4–6 years of experience in analytics, data science, or a related field.

Strong SQL skills; experience working with large, complex datasets.

Hands-on experience with dashboarding and BI tools (e.g., Looker, Tableau, Mode, Power BI, Amazon Quick suite).

Proven experience designing and analyzing experiments (A/B testing, causal inference).

Ability to synthesize complex analyses into clear narratives for technical and non-technical audiences.

Strong business judgment and comfort working in fast-paced, ambiguous environments.

Nice to Have Experience supporting consumer products, fintech, or growth marketing teams.

Familiarity with experimentation platforms and statistical methods.