Hybrid Data Analyst I – Consumer Loan Analytics

Posted last month

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About the role

  • Query, clean, and analyze complex datasets using SQL, Python, or similar tools
  • Identify trends, correlations, and insights to support decision-making
  • Assemble forecasts to drive recommended actions within the business
  • Build clear reports and dashboards in tools like Excel and Power BI
  • Package insights in a clear, compelling narrative for business partners
  • Monitor data quality and recommend process improvements
  • Seek opportunities to automate repetitive tasks
  • Partner closely with business leaders to anticipate and address their data needs

Requirements

  • 4-year college degree preferred or equivalent experience needed
  • Prior exposure to data analytics through coursework, projects, internships, or ~1 year of professional experience
  • Examples of reporting, dashboarding, or data analysis work are a plus
  • Technical Ability to extract, manipulate, and query data in database systems (T-SQL, SnowSQL, or similar)
  • Familiarity with reporting and dashboarding tools (e.g., Power BI, DAX)
  • Exposure to scripting languages such as Python for data manipulation or process automation
  • Understanding of data cleansing, mapping, and transformation concepts (ETL)

Benefits

  • medical
  • dental
  • vision
  • HSA and FSA
  • generous earned time off
  • 401K/student loan repayment
  • life insurance & AD&D insurance
  • employee assistance program
  • employee stock purchase program
  • tuition reimbursement
  • performance-based incentive pay
  • short- and long-term disability
  • robust wellness program

Job title

Data Analyst I – Consumer Loan Analytics

Job type

Experience level

Junior

Salary

$55,000 - $70,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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