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Jobs via Dice
Jobs via Dice

Lead Data Analyst with Azure DevOps (W2)

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

Lead

Tech stacks

Data analysis
Data
Azure
+24

Permanent role
2 days ago
Apply now

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sovereign Technologies, is seeking the following. Apply via Dice today!

Title: Lead Data Analyst with Azure

Location: REMOTE (NORTHBROOK, IL)

Job Description:

We seek a detail-oriented, highly skilled, and motivated Data Analyst/Scientist to join our dynamic team. The ideal candidate will work closely with stakeholders to gather business requirements, analyze complex datasets, and deliver actionable insights using tools like Power BI, R, Python. You will apply statistical methods and machine learning techniques to develop predictive models and data-driven solutions, contributing to strategic business outcomes Familiarity with Agile methodologies and Azure DevOps is essential for managing work items, collaborating with development teams, and improving operations through data models and algorithms.

Projects

  • Collaborate with business stakeholders to deliver analytics solutions leveraging SQL, Python, Excel, and various reporting, analytics tools.
  • Partner with the Data Engineering team to implement new data lakes solutions supporting business analytics and data science needs.
  • Support data science initiatives by developing tools and solutions to meet project requirements.

Professional Education And Experience

  • Minimum of a bachelor s degree in Data Analytics, Data Science, Computer Science, or related scientific field.
  • 3-5 years of experience as a Data Analyst, Data Scientist, or similar role, working with large datasets and complex analytical problems in a data-driven environment.
  • Strong problem-solving, critical thinking, and analytical skills with an emphasis on product development.
  • Experience querying databases and using statistical programming languages to manipulate data and derive insights.
  • Knowledge of machine learning engineering and end-to-end delivery processes.

About Jobs via Dice

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