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Information Technology 🏢 Full Time ⭐️ Verified

Urgent Hire: Senior Data Analyst

TechNova Analytics
Philadelphia
Estimated Salary
USD 85.000 – USD 110.000
Live Update
1 Agustus 2026
Deadline
1 Agu 2027

Job Description

Join our high-growth fintech startup in Philadelphia! We need a Senior Data Analyst to drive critical business decisions immediately. This urgent opening offers remote flexibility with 2 office days/month. Help us transform raw data into actionable insights that impact millions of users. Competitive equity package included.

Our ideal candidate thrives in fast-paced environments and possesses exceptional analytical skills. You'll collaborate with cross-functional teams to uncover trends, optimize operations, and shape product strategy. If you're passionate about solving complex problems with data, this is your moment to make an immediate impact.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms
  • Create compelling visualizations and dashboards in Tableau/Power BI for executive stakeholders
  • Analyze customer behavior data to identify growth opportunities and reduce churn
  • Conduct A/B tests and statistical modeling to optimize product features
  • Present findings to leadership teams with clear, actionable recommendations
  • Maintain data integrity across multiple databases and reporting systems

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field (Master's preferred)
  • 3+ years of professional data analysis experience in B2C tech
  • Expert proficiency in SQL, Python (Pandas/NumPy), and visualization tools
  • Strong statistical knowledge with experience in experimental design
  • Proven ability to translate complex data into business narratives
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization A/B Testing Cloud Data Warehouses Data Pipelines

Ready to Take This Challenge?

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