

MethodHub
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst in San Diego, CA, on a long-term contract. Requires strong SQL, Python, and data visualization skills, with proven business acumen and problem-solving abilities. Experience in data modeling and cloud platforms is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
January 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Diego, CA
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🧠 - Skills detailed
#Data Pipeline #Scripting #Cloud #Predictive Modeling #SQL Queries #A/B Testing #Automation #AWS (Amazon Web Services) #Python #Data Analysis #Tableau #"ETL (Extract #Transform #Load)" #QlikView #Visualization #Data Modeling #SQL (Structured Query Language)
Role description
Business Data Analyst
Location: San Diego, CA
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.
Business Data Analyst
Location: San Diego, CA
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.






