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Jobs via Dice

Jobs via Dice is hiring: Business & Data Analyst in Mountain View

Jobs via Dice, Mountain View, CA, United States, 94039

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Business Data Analyst

Location: Mountain View, CA or San Diego, CA (Hybrid)

Duration: 12 months with possible extension

Experience Level: Senior

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 creation, 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, Qlik Sense, 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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