Power BI Developer – Financial Analytics

About the Role

The role entails working with large datasets, creating complex data models, and developing automated reporting solutions to streamline data analysis processes. You will be responsible for ensuring data accuracy and consistency across all reports, analyzing data trends, and providing insights to improve business performance. Your expertise in Power BI, Excel, and data visualization will be essential in driving business growth and improvement.

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges. With approximately 50,000 employees in over 70 countries, the company offers a dynamic and collaborative work environment.

What You Will Do

• Design, develop, and maintain Power BI dashboards and reports to support business operations
• Ensure data accuracy and consistency across all reports
• Analyze data trends and provide insights to improve business performance
• Develop automated reporting solutions to streamline data analysis processes
• Meet with decision-makers, data owners, and end-users to define reporting requirements and goals
• Develop reporting procedures, models, and protocols
• Stay current with industry trends and best practices in data visualization and analytics
• Collaborate with other team members to achieve common goals
• Work with large datasets, creating complex data models and developing data visualizations
• Develop and maintain databases, data systems, and data processes

What We Are Looking For

• Proficiency in Power BI, with a strong understanding of its various features such as data modeling, report development, visualization, and dashboard creation
• Excellent analytical and problem-solving skills, with the ability to analyze data to identify trends and insights
• Strong SQL skills, including writing and optimizing complex queries and working with large datasets
• Strong understanding of DAX (Data Analysis Expressions) and the ability to create complex calculations and measures using DAX functions
• Data modeling skills, with experience creating data models and working with various data modeling techniques such as star and snowflake schemas
• Familiarity with cloud platforms, with experience working with cloud platforms like Azure for data storage, processing, and analysis
• Communication and collaboration skills, with the ability to work collaboratively with other team members, communicate effectively, and have excellent interpersonal skills
• Continuous learning, with a commitment to keeping up-to-date with the latest tools, technologies, and industry trends
• Good written and oral communication skills, with familiarity with word processing, database, spreadsheet programs, and integrated software applications

Nice to Have

• Experience with ETL (Extract, Transform, Load) processes and the ability to design and implement them using tools like SSIS or Azure Data Factory
• Experience with data visualization tools and technologies, such as Tableau or QlikView
• Experience working with agile development methodologies and version control systems such as Git

Benefits and Perks

• Competitive salary range (estimated
  15,000 -

  25,000 annually)
• Comprehensive health, dental, and vision insurance
• Paid time off and holidays
• Retirement benefits, including 401(k) matching
• Educational reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance
• Remote work stipend
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

• Tip: Showcase your expertise in Power BI, Excel, and data visualization by providing examples of previous work or projects that demonstrate your skills.
• Be prepared to discuss your experience with data modeling, DAX, and SQL, and how you have applied these skills in previous roles.
• Highlight your ability to work collaboratively and communicate effectively with decision-makers, data owners, and end-users.
• Make sure to research the company and the role, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
• Consider creating a portfolio that showcases your work and skills, and be prepared to discuss your portfolio during the interview process.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role, or what opportunities there are for professional growth and development.
• Be aware of the security clearance requirements and be prepared to discuss your eligibility for clearance.