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Sr Data Analyst

Job ID : 36744

Job Title : Sr Data Analyst

Location : Ohio, IL

Comapny Name : Apollose

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

Industry : Information Technology

Salary :  $25000 - $35000  per year

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

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

Posted on : 05-09-2024

Required Skills : Problem-solving, Creativity, Adaptability.

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

Job Description :

Responsibilities:

  • Conduct detailed discovery sessions to understand the functionalities, processes, and data flows of existing legacy systems.
  • Document and map out the intricate web of existing systems, identifying key data sources, dependencies, and potential challenges in consolidating these systems.
  • Work closely with Snowflake data modelers, Power BI developers, and project managers to ensure a comprehensive understanding of the project’s goals and requirements.
  • Develop detailed project documentation, including requirements documents, process maps, and user stories, to support the development of a unified platform.
  • Facilitate communication between technical teams and business stakeholders to ensure clear understanding and alignment on project goals and requirements.

Qualifications:

  • Bachelor’s degree in business, IT, or a related field.
  • 5-6 years of experience as a Data Analyst, with a track record of successful discovery and documentation in BI/Reporting projects.
  • Strong analytical skills, with the ability to understand and document complex legacy systems and processes.
  • Experience in projects involving the consolidation of disparate systems into a unified reporting and analytics platform is highly desirable.

Key Skills:

  • Critical thinking.
  • Strong communication. 
  • Problem-solving. 
  • Creativity. 
  • Adaptability. 
  • Statistical analysis.
  • Machine learning algorithms. 
  • Proficiency in SQL.

Company Details :

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