Business Data Analyst
Job in
San Diego, San Diego County, California, 92189, USA
Listed on 2026-01-12
Listing for:
MethodHub
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Job Description & How to Apply Below
Base Pay Range
$60.00/hr - $70.00/hr
Direct message the job poster from Method Hub
Business Data Analyst
Duration:
Long Term Contract
We are looking for a Business Data Analyst who combines strong analytical thinking with business acumen to uncover insights that drive strategic and operational decisions. The ideal candidate is a self-starter who can partner effectively with stakeholders
, define analytical requirements
, and translate data into actionable business outcomes
.
- Partner with business stakeholders to understand objectives, define KPIs
, and translate them into measurable metrics (building data pipelines
, KPI creations
, and root cause analysis
). - Generate hypotheses
, analyze data to validate or refute them, and deliver insights that inform business strategies. - Collaborate with cross-functional teams to gather requirements and translate business needs into data solutions.
- Develop and maintain dashboards, reports, and visualizations to track performance and trends.
- Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
- Use Python (or similar scripting tools) for deeper analysis, automation, and model development.
- Present findings and recommendations to business and technical teams in a clear, compelling way.
Must Have:
- Strong business acumen with a track record of linking analytics to tangible business outcomes.
- Hands‑on experience in SQL
, Python
, and data visualization tools (e.g., Qlikview, Qliksense, Tableau). - Strong problem‑solving and critical‑thinking skills, including hypothesis‑driven analysis.
- Proven ability to work independently and manage multiple priorities in a fast‑paced environment.
- Excellent communication and stakeholder‑management skills.
Nice to Have:
- Experience with data modeling, ETL processes, or cloud platforms (AWS).
- Exposure to statistical analysis, A/B testing, or predictive modeling.
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