Logo
Request Technology, LLC

Request Technology, LLC is hiring: Senior Data Analyst in Chicago

Request Technology, LLC, Chicago, IL, United States


Senior Data Analyst

Salary: $100k-$110k + 10% bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*


Qualifications

  • Bachelor’s degree
  • 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, business intelligence analyst, data analyst, data scientist, or research analyst
  • Ability to write and optimize complex analytical (SELECT) SQL queries
  • Experience with data viz/prep tools (Tableau and/or Alteryx)


Preferred

  • Experience with SaaS tools and their backends, such as Jira and ServiceNow
  • Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing)
  • Experience with a source code repository system (preferably Git)
  • Familiarity with at least one cloud data platform, such as AWS or GCP
  • Experience creating and/or maintaining a cloud data warehouse or database
  • Exposure to data orchestration tools, such as Airflow
  • Understanding of applied statistics and hands-on experience applying these concepts


Responsibilities

  • Work closely with data analysts and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries
  • Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability
  • Integrate data from multiple sources and ensure data consistency and quality
  • Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and creating dashboards or visualizations using Tableau, Power BI to present insights
  • Maintain performance requirements of our analytics warehouse by tuning optimizations and processes
  • Create documentation and testing to ensure data is accurate and easily understandable