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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

DataDriven Innovations
San Francisco
Salary Estimate
USD 110.000 – USD 145.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join our dynamic data team at DataDriven Innovations, where your analytical skills will transform raw data into actionable business strategies. We're seeking a curious and detail-oriented Data Analyst to uncover insights that drive our company's growth and innovation. In this role, you'll collaborate with cross-functional teams to solve complex problems, visualize trends, and present findings to executive leadership. Our culture values intellectual curiosity, collaborative problem-solving, and continuous learning. If you're passionate about turning data into impact, we want to meet you.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical tools to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI to communicate insights to stakeholders
  • Develop and maintain automated reporting systems to track KPIs and performance metrics
  • Collaborate with product and marketing teams to design data-driven experiments and A/B tests
  • Present findings and recommendations to senior leadership through clear, concise presentations
  • Ensure data integrity and quality through rigorous validation and documentation processes
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of professional experience in data analysis or business intelligence
  • Expert proficiency in SQL and relational databases (PostgreSQL, MySQL)
  • Strong programming skills in Python (Pandas, NumPy) and R
  • Experience with data visualization tools (Tableau, Power BI, Looker)
  • Proven ability to translate complex data into actionable business insights
  • Excellent communication skills with experience presenting to technical and non-technical audiences
  • Experience with cloud platforms (AWS, Azure) and big data technologies (Spark, Hadoop) preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Excel Data Mining Machine Learning AWS

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