Data Analyst

Robert Half
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Business Intelligence Development Data Integration Data Integrity Extract Transform Load (ETL) Python (Programming Language) NumPy Operational Data Store Power BI SQL Databases Tableau (Software) Scripting
+5 more
Freeform SQL Powerquery Pandas Matplotlib Data Analytics

Job description

  • Design, develop, and maintain dashboards, reports, and business intelligence solutions.
  • Build and optimize advanced SQL queries, data models, and reporting processes.
  • Develop interactive dashboards and visualizations using Power BI and Tableau.
  • Leverage Power BI DAX and Power Query (M Language) to create advanced reporting and analytical solutions.
  • Utilize Python (Pandas, NumPy, Matplotlib) for data analysis, automation, and ETL development.
  • Build and maintain data integration and ETL processes across multiple data sources.
  • Perform statistical analysis, forecasting, and predictive modeling to support business planning and operational decision-making.
  • Analyze financial, budgeting, and operational data to identify trends, risks, and opportunities.
  • Collaborate with business stakeholders to gather requirements and deliver actionable insights.
  • Present findings and recommendations to clients, executives, and leadership teams.
  • Lead analytics initiatives and provide guidance and mentorship to junior analysts.
  • Ensure data integrity, quality, and compliance with reporting standards and governance requirements.

Requirements

The ideal candidate will bring extensive experience in SQL, Python, Power BI, Tableau, data modeling, and financial analytics, along with the ability to effectively communicate findings to both technical and non-technical audiences., * 7+ years of experience in data analytics, business intelligence, reporting, or a related field.

  • Advanced SQL development and data modeling experience.
  • Strong Python experience, including Pandas, NumPy, Matplotlib, and ETL scripting.
  • Expertise with Power BI, including complex DAX calculations and M-language development.
  • Experience creating dashboards and visualizations in Tableau.
  • Experience with ETL processes and data integration.
  • Knowledge of statistical analysis, forecasting, and predictive analytics.
  • Experience supporting finance, accounting, budgeting, or financial analysis functions.
  • Experience leading projects and/or mentoring junior analysts.
  • Strong communication, presentation, and stakeholder management skills. xrbllit
  • Ability to explain complex technical concepts to business users and executives.

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