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Information Technology 🏢 Full Time ⭐️ Verified

WFH Data Analyst

DataDriven Solutions Inc.
San Francisco
Estimated Salary
USD 110.000 – USD 140.000
New
Live Update
11 Agustus 2026
Deadline
11 Agu 2027

Job Description

Join our dynamic team as a WFH Data Analyst and transform raw data into actionable insights! We're urgently seeking a talented professional to drive data-driven decisions remotely from San Francisco. This is your chance to make an immediate impact in a fast-paced environment with competitive compensation and flexible work arrangements.

As a key member of our analytics department, you'll collaborate with cross-functional teams to uncover trends, optimize operations, and support strategic initiatives. Our ideal candidate combines technical expertise with business acumen to solve complex challenges and deliver measurable results.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and opportunities
  • Create compelling visualizations and dashboards using Tableau/Power BI
  • Develop automated reporting systems to monitor KPIs and business metrics
  • Collaborate with stakeholders to translate business needs into analytical solutions
  • Present findings to executive leadership through clear, concise data narratives
  • Optimize data pipelines for efficiency and accuracy
  • Stay current with industry best practices and emerging analytics tools

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced knowledge of data visualization tools (Tableau, Power BI)
  • Experience with statistical modeling and machine learning concepts
  • Strong problem-solving skills with attention to detail
  • Ability to communicate complex findings to non-technical audiences
  • Proven track record of delivering data-driven solutions

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Machine Learning Data Warehousing

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