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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

DataVista Solutions
San Francisco
Salary Estimate
USD 120.000 – USD 160.000
Latest
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join DataVista Solutions as a Senior Data Analyst and become the driving force behind data-driven decision-making. We're seeking a strategic thinker to transform complex datasets into actionable insights that propel our innovative fintech platform forward. In this pivotal role, you'll collaborate with cross-functional teams to solve critical business challenges using advanced analytics techniques. Our culture values curiosity, collaboration, and continuous learning, offering ample opportunities for professional growth in a dynamic environment. If you're passionate about turning data into a competitive advantage, we want to hear from you.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Develop interactive dashboards using Tableau and Power BI for executive reporting
  • Design and implement A/B tests to optimize product features and marketing campaigns
  • Collaborate with product teams to translate findings into actionable recommendations
  • Maintain data integrity through rigorous validation and documentation practices
  • Present complex findings to stakeholders through compelling visualizations and narratives
  • Lead data quality initiatives and improve existing data pipelines

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 5+ years of experience in data analysis with proven impact in a corporate setting
  • Expert proficiency in SQL and at least one scripting language (Python/R)
  • Advanced knowledge of data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and experimental design skills
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies
  • Exceptional communication skills with ability to translate technical concepts for non-technical audiences
  • Portfolio demonstrating analytical projects with measurable business outcomes

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization AWS A/B Testing Data Pipelines Business Intelligence

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