MethodHub

Business Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business Data Analyst in Mountain View, CA or San Diego, CA (Hybrid) for 12 months at a competitive pay rate. Key skills include SQL, Python, and data visualization tools; strong business acumen and problem-solving abilities are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
November 6, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Qlik #SQL (Structured Query Language) #Scripting #AWS (Amazon Web Services) #Data Analysis #A/B Testing #Automation #Cloud #"ETL (Extract #Transform #Load)" #Data Modeling #Data Pipeline #Predictive Modeling #Python #QlikView #Tableau #SQL Queries #Visualization
Role description
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 β€’ Partner with business stakeholders to understand objectives, define KPIs, and translate them into measurable metrics (building data pipelines, KPI creations, and root cause analysis). β€’ Generate hypotheses, analyze data to validate or refute them, and deliver insights that inform business strategies. β€’ Collaborate with cross-functional teams to gather requirements and translate business needs into data solutions. β€’ Develop and maintain dashboards, reports, and visualizations to track performance and trends. β€’ Write and optimize SQL queries to extract, transform, and analyze data from multiple sources. β€’ Use Python (or similar scripting tools) for deeper analysis, automation, and model development. β€’ Present findings and recommendations to business and technical teams in a clear, compelling way. Qualifications & Skills Must Have: β€’ Strong business acumen with a track record of linking analytics to tangible business outcomes. β€’ Hands-on experience in SQL, Python, and data visualization tools (e.g., QlikView, Qlik Sense, Tableau). β€’ Strong problem-solving and critical thinking skills, including hypothesis-driven analysis. β€’ Proven ability to work independently and manage multiple priorities in a fast-paced environment. β€’ Excellent communication and stakeholder management skills. Nice to Have: β€’ Experience with data modeling, ETL processes, or cloud platforms (AWS). β€’ Exposure to statistical analysis, A/B testing, or predictive modeling.