Highlights

This role sits at the intersection of data, operations, and business stakeholders, helping answer critical questions, deliver trusted reporting, and improve access to information across the organization. We are partnering with a highly quantitative, data-driven organization seeking a Data Analyst to support reporting, analytics, and data management initiatives across a complex business environment.

Numbers & Facts

LocationChicago, IL

Description

Data Analyst, Reporting & Analytics

We are partnering with a highly quantitative, data-driven organization seeking a Data Analyst to support reporting, analytics, and data management initiatives across a complex business environment. This role sits at the intersection of data, operations, and business stakeholders, helping answer critical questions, deliver trusted reporting, and improve access to information across the organization.

Responsibilities

  • Analyze large and complex datasets to answer business questions and support decision-making
  • Develop and run SQL-based data extracts from multiple databases and systems
  • Deliver reporting and analytical support for operational, compliance, finance, and business functions
  • Handle ad hoc requests and time-sensitive reporting deliverables
  • Validate data accuracy through reconciliations, cross-checks, and quality control processes
  • Investigate discrepancies and work with stakeholders to ensure reporting integrity
  • Document reporting methodologies, business rules, and data definitions
  • Identify recurring reporting needs and partner with technical teams to develop scalable solutions
  • Help define requirements, business logic, edge cases, and testing criteria for new reporting tools and dashboards
  • Contribute to the development of self-service reporting and business intelligence capabilities

Requirements

  • 5+ years of experience in data analytics, business intelligence, reporting, analytics engineering, or a related field
  • Advanced SQL skills with experience writing complex queries, joins, aggregations, and CTEs
  • Python experience for data analysis, automation, and repeatable reporting workflows
  • Experience working with large-scale transactional, operational, or financial datasets
  • Strong attention to detail and commitment to data accuracy
  • Ability to communicate methodologies and findings to both technical and non-technical audiences
  • Experience gathering requirements and working with engineering or development teams
  • Experience with BI and visualization tools such as Tableau, Power BI, or similar platforms
  • Bachelor's degree in a quantitative, technical, or related discipline

Preferred Experience

  • Exposure to regulatory, compliance, audit, tax, or financial reporting processes
  • Experience creating scalable reporting frameworks and self-service analytics solutions
  • Familiarity with data governance, controls, and reporting best practices

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