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Data Analyst - Weekend Shift - Baltimore, MD

Metropolitan Data Solutions, LLC
Baltimore
Estimated Salary
USD 60.000 – USD 85.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

About the Role: We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team in Baltimore. This is a unique opportunity to work a weekend shift while contributing to critical business intelligence and operational efficiency. You will play a key role in translating complex data into actionable insights that drive strategic decisions.

Why Join Us? We offer a competitive benefits package, a collaborative work environment, and the chance to work with cutting-edge data technologies. If you are looking for a stable position with impact, we want to hear from you.

Responsibilities

  • Collect, clean, and analyze large datasets from multiple sources to identify trends, patterns, and business opportunities.
  • Design and maintain interactive dashboards (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs) for weekend operations.
  • Collaborate with cross-functional teams to understand data requirements and provide technical expertise.
  • Perform data quality checks and ensure data integrity across all reporting systems.
  • Prepare detailed reports and presentations for management to support decision-making processes.
  • Utilize SQL and Python to extract data and automate reporting workflows.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Administration, or a related field.
  • Minimum of 2-4 years of experience in data analysis or business intelligence.
  • Proficiency in SQL for data querying and extraction.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Strong analytical thinking and problem-solving skills.
  • Must be available to work weekend shifts (Saturday/Sunday or rotating weekends) as required.

Required Skills

SQL Python Tableau Power BI Data Analysis Business Intelligence SQL Server Excel

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