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Data Analyst (Daily Pay + Equity) - Baltimore

FinTech Analytics Group
Baltimore
Estimated Salary
USD 85.000 – USD 110.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Join our dynamic team at FinTech Analytics Group as a Data Analyst where innovation meets opportunity. We're revolutionizing financial analytics with cutting-edge solutions, and we need your expertise to drive insights that matter. Enjoy the flexibility of daily pay, competitive equity options, and work in a collaborative environment that values your contributions.

Located in Baltimore's vibrant financial district, this role offers hybrid work arrangements and the chance to impact real-world decisions. If you're passionate about transforming data into actionable strategies and thrive in fast-paced environments, we encourage you to apply today.

Responsibilities

  • Analyze complex financial datasets using SQL, Python, and R to identify trends and opportunities
  • Develop interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to optimize data pipelines and ensure data integrity
  • Translate business requirements into analytical solutions with measurable impact
  • Present findings to leadership with clear visualizations and actionable recommendations
  • Monitor KPIs and performance metrics to drive continuous improvement

Qualifications

  • Bachelor's degree in Data Science, Statistics, Finance, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Advanced skills in Python (Pandas, NumPy) and data visualization tools
  • Experience with financial data analysis and equity compensation structures
  • Strong problem-solving abilities with attention to detail
  • Excellent communication skills for presenting complex data to non-technical audiences
  • Ability to thrive in fast-paced environments with daily deliverables

Required Skills

SQL Python Tableau Financial Analysis Data Visualization R Statistics Excel Power BI Data Pipelines

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