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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

DataDriven Innovations
San Francisco, CA
Salary Estimate
USD 95.000 – USD 135.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join our dynamic analytics team at DataDriven Innovations, where your insights will shape the future of our client solutions. We're seeking a meticulous Data Analyst to transform complex datasets into actionable strategies that drive business growth. Collaborate with cross-functional teams to uncover hidden patterns, optimize operations, and deliver compelling data narratives that influence executive decisions. Enjoy competitive benefits, flexible work arrangements, and opportunities to pioneer cutting-edge analytics methodologies in a supportive, innovation-driven environment.

Responsibilities

  • Design and implement robust ETL processes to ensure data integrity and accessibility
  • Develop interactive dashboards and visualizations using Tableau/Power BI to communicate KPIs
  • Perform statistical analysis and A/B testing to validate hypotheses and optimize business strategies
  • Collaborate with product teams to define analytics requirements and deliver data-driven recommendations
  • Create ad-hoc reports and forecasts to support executive decision-making processes
  • Automate reporting workflows using SQL and Python to enhance efficiency
  • Present findings to stakeholders through compelling data storytelling sessions

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis with proven track record of driving business impact
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical knowledge with experience in hypothesis testing and regression analysis
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Exceptional problem-solving skills and attention to detail
  • Excellent communication skills with ability to translate technical concepts for non-technical audiences
  • Portfolio demonstrating complex data projects and business outcomes

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization ETL Processes AWS A/B Testing Data Storytelling

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