Sr. Data Analyst

accenturefederalservices; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Accenture Federal Services is seeking a data analyst/scientist to analyze large datasets, build dashboards, and deliver clear recommendations to stakeholders. The role covers data prep, SQL analysis, dashboard development, and reporting, with opportunities to apply predictive methods where they fit the question.

You will work with Databricks, Tableau, Power BI, and Excel to visualize results; strong SQL skills and data wrangling are essential. U.S.

Qualifications

• Proficient with Databricks, Tableau, Power BI and Excel for visualization and reporting.
• Strong SQL querying skills.
• Experience cleaning, transforming, and manipulating data.
• Ability to analyze large datasets and communicate findings clearly.
• Experience producing dashboards and analytical reports.
• Familiarity with agile methods and SDLC; U.S. citizenship and Public Trust eligibility.
• Nice to have: experience with R or SPSS; predictive analytics or ML frameworks.
• Knowledge of correlation analysis and advanced data quality techniques.
• Experience building Databricks pipelines or transformations.

Responsibilities

• Examine datasets to identify trends, patterns, and useful insights.
• Clean, transform, and manipulate large datasets for analysis.
• Query databases with SQL to extract and investigate data.
• Build dashboards and visualizations using Databricks, Tableau, Power BI, and Excel.
• Prepare analytical reports and recommendations for stakeholders.
• Contribute to agile delivery, including documenting user stories and supporting testing; apply predictive analytics or machine learning when appropriate.

Skills

SQL querying

Data cleaning

Data transformation

Analytical communication

Dashboard development

Agile

Tools

Databricks

Tableau

Power BI

Microsoft Excel

Job description

Role overview

Analyze large and complex datasets to help stakeholders make informed decisions. The work spans data preparation, SQL-based analysis, dashboard development, and clear reporting, with opportunities to apply predictive methods where they fit the question.

Responsibilities

• Examine datasets to identify trends, patterns, and useful insights.
• Clean, transform, and manipulate large datasets for analysis.
• Query databases with SQL to extract and investigate data.
• Build dashboards and visualizations using Databricks, Tableau, Power BI, and Excel.
• Prepare analytical reports and recommendations for stakeholders.
• Contribute to agile delivery, including documenting user stories and supporting testing; apply predictive analytics or machine learning when appropriate.

Requirements

• Proficiency with Databricks, Tableau, Power BI, and Microsoft Excel for visualization and reporting.
• Strong SQL querying skills.
• Experience cleaning, transforming, and manipulating data.
• Ability to analyze large datasets and communicate findings clearly.
• Experience producing dashboards and analytical reports.
• Familiarity with agile methods and software development lifecycle practices; U.S. citizenship and Public Trust eligibility.

Nice to have

• Experience with statistical tools such as R or SPSS.
• Exposure to predictive analytics or machine learning frameworks.
• Knowledge of correlation analysis and advanced data quality techniques.
• Experience building Databricks pipelines or transformations.