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Job ID : 36719

Location : Chicago, IL

Company Name : Atechstar

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $25000 - $35000  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : SQL, Data visualization, Machine learning..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • Collaborate with cross-functional teams to gather business requirements and translate them into data-driven solutions and product features.
  • Design, develop, and manage data products that provide actionable insights to internal stakeholders and support strategic decision-making.
  • Utilize advanced analytics techniques to analyze large datasets and extract meaningful insights that drive business outcomes.
  • Develop and maintain dashboards, reports, and visualizations to communicate key performance metrics and insights to stakeholders.
  • Partner with IT and data engineering teams to ensure data integrity, quality, and accessibility for analytics purposes.
  • Stay abreast of industry trends, emerging technologies, and best practices in analytics and data product management to drive innovation and continuous improvement.
  • Provide leadership and education on the value and use of information & operational data.


  • Proven experience as a business analyst, data analyst or finance analyst, preferably in a  environment.
  • Strong analytical skills with the ability to translate complex data into actionable insights and recommendations.
  • Preferred experience in operational, management, sales or financial reporting as a business analyst or data analyst.
  • Proficiency in SQL, Python, or other data manipulation languages; experience with data governance and data visualization tools such as Tableau or Power BI.
  • Experience reviewing and writing technical & business requirements in relation to Business Intelligence or data management projects.

Key Skills:

  • SQL.
  • Data visualization.
  • Machine learning.
  • Microsoft Excel.
  • Critical thinking.
  • Statistical analysis.
  • Data cleansing.
  • Programming language.

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