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Robert Half Linkedin · Posted 10d ago

SQL Data Analyst

Providence

Linkedin
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Indexed description

SQL Data Analyst

We are seeking a detail-oriented Data Analyst to join a growing team. This individual will play a key role in turning data into meaningful insights that support business decision-making. The ideal candidate is highly analytical, comfortable working with large datasets, and enjoys collaborating with cross-functional teams.


Responsibilities:

  • Analyze, interpret, and transform data to support business initiatives and strategic decisions
  • Develop and maintain reports, dashboards, and data models using SQL
  • Extract and manipulate data from multiple sources to ensure accuracy and consistency
  • Partner with business stakeholders to gather requirements, understand needs, and translate them into data-driven solutions
  • Automate manual processes and improve reporting efficiency using Excel macros and VBA
  • Identify trends, patterns, and anomalies to provide actionable insights
  • Present findings in a clear and concise manner to both technical and non-technical audiences
  • Ensure data integrity and troubleshoot discrepancies across systems


Qualifications:

  • 2–5+ years of experience in a Data Analyst or similar role
  • Strong proficiency in Excel (advanced formulas, pivot tables, macros)
  • Solid experience with SQL for querying and data manipulation
  • Experience with VBA for automation and reporting enhancements
  • Strong analytical and problem-solving skills
  • Excellent communication skills with the ability to work directly with business teams
  • Experience gathering and documenting business requirements
  • Ability to manage multiple priorities in a fast-paced environment


Nice to Have:

  • Experience with BI tools (Power BI, Tableau, etc.)
  • Exposure to data warehousing concepts
  • Background in finance, operations, or professional services environments


What You’ll Bring:

  • A proactive mindset and attention to detail
  • Strong collaboration skills with both technical and business stakeholders
  • Ability to turn raw data into meaningful business insights


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