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Business Data Analyst

Job in San Diego, San Diego County, California, 92189, USA
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
Salary/Wage Range or Industry Benchmark: 60 - 70 USD Hourly USD 60.00 70.00 HOUR
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

About the Role

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
.

Key Responsibilities
  • 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.
Qualifications & Skills

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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