Financial Data Analyst, Senior
USA, VA, Norfolk (5800 Lake Wright Dr)
Full Time Senior-level / Expert USD 75K - 172K
Booz Allen Hamilton
Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.The Opportunity:
As a professional in Business Services, you have the experience and skills to ensure our Delivery Hub operations are effective, efficient, timely, and valuable for internal and external clients. You know how to interface with internal and external customers and leadership to understand needs and gain insight on Business Services performance.
As a member of the Continual Improvement Analytics Team, you will interface with leaders across the Delivery Hub to understand and consult on performance measurement needs. You will work with our Financial Operations team, including Accounts Payable, Accounts Receivable, or Payroll, to develop and implement a FinOps reporting strategy. You will become a data expert across our FinOps team and develop data pipelines to support analysis, reports, and dashboards to help drive operational improvements. You may also provide support to other functional areas. Due to the nature of work performed within this facility, U.S. citizenship is required.
What You’ll Work On:
Work with finance team leaders to document, understand, and coordinate implementation of reporting requirements and performance measures that will support team operations.
Define, develop, and communicate analyses and tools to enable insight into finance team performance.
Become a finance data and process expert, enabling the ability to dive deep into systems and processes to propose continual improvement ideas.
Respond to requests for ad hoc analyses and reports.
Identify system and process changes that will improve accuracy and efficiency of metrics.
Join us. The world can’t wait.
You Have:
6+ years of experience with data exploration, data cleaning, data analysis, data mining, or data visualization
4+ years of experience with statistical and general-purpose programming languages for data analysis
2+ years of experience with data visualization within tools such as Power BI or Tableau
1+ years of experience supporting Accounts Payable, Accounts Receivable, Accounting, or Payroll functions through data analysis
Experience using Microsoft Excel, PowerPoint, and Outlook
Knowledge of building data pipelines with ETL tools
Knowledge of statistical analysis techniques and how to appropriately apply them
Ability to develop and maintain interactive dashboards and visualizations in Power BI to communicate data insights to business stakeholders
Ability to work independently and collaboratively in a team environment
HS diploma or GED
Nice If You Have:
Experience with Databricks, SQL, Python, and Power BI
Experience with Costpoint, Ivalua, Concur and Service Now
Knowledge of audit compliance or government contracting compliance
Possession of excellent analytical, problem-solving, and critical thinking skills
Possession of excellent written and verbal communication skills, including presenting complex information in a clear and concise manner and translating data into actionable insights
Bachelor's degree in a quantitative field
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
Tags: Data analysis Databricks Data Mining Data pipelines Data visualization ETL Excel Finance Pipelines Power BI Python SQL Statistics Tableau
Perks/benefits: Career development Health care Medical leave
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.