Data Analytics Specialist - Onsite Pittsburgh

Siri InfoSolutions Inc

Pittsburgh (Allegheny County)

On-site

USD 65,000 - 95,000

Full time

14 days+
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Job summary

Siri InfoSolutions Inc in Pittsburgh, PA, is seeking a Data Analyst to collect, clean, and validate large datasets, and to develop reports and dashboards that reveal actionable insights. You will use SQL, Excel (pivot tables), Power BI or Tableau, and Python or R to analyze data, perform modeling, and present findings to stakeholders with clear visuals and storytelling.

Strong communication, problem-solving, and a solid grasp of statistics are essential, with onsite collaboration across IT,

Qualifications

  • SQL and databases proficiency required.
  • Advanced Excel skills with pivot tables.
  • Experience with Power BI or Tableau for visualization.
  • Basic Python or R programming knowledge.
  • Strong analytical and problem-solving abilities.
  • Good communication and presentation skills.
  • Understanding of statistics and data analysis techniques.

Responsibilities

  • Collect, clean, and validate large datasets from multiple sources.
  • Analyze data to identify trends, patterns, and insights.
  • Develop and maintain reports, dashboards, and visualizations.
  • Work with stakeholders to understand business requirements.
  • Perform data modeling and statistical analysis.
  • Use tools like SQL, Excel, and Python/R for analysis.
  • Ensure data accuracy, integrity, and consistency.
  • Present findings through charts, graphs, and presentations.
  • Collaborate with cross-functional teams (IT, business, operations).
  • Support decision-making with data-driven recommendations.

Skills

SQL
Excel
Power BI
Tableau
Python
R
Analytical thinking
Communication skills
Statistics

Job description

Siri InfoSolutions Inc in Pittsburgh, PA, is seeking a Data Analyst to collect, clean, and validate large datasets, and to develop reports and dashboards that reveal actionable insights. You will use SQL, Excel (pivot tables), Power BI or Tableau, and Python or R to analyze data, perform modeling, and present findings to stakeholders with clear visuals and storytelling.

Strong communication, problem-solving, and a solid grasp of statistics are essential, with onsite collaboration across IT,

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