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Commission Financial Data Analyst Jobs in Washington

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Commission Financial Data Analyst information

What does a Commission Financial Data Analyst do?

A Commission Financial Data Analyst is responsible for analyzing, tracking, and reporting on commission payments within a company. They ensure the accuracy of commission calculations, often working closely with sales, finance, and HR departments to interpret commission plans and resolve discrepancies. Their work helps organizations maintain transparency, compliance, and fairness in commission structures, as well as provide actionable insights for process improvements.

What are the key skills and qualifications needed to thrive as a Commission Financial Data Analyst?

To thrive as a Commission Financial Data Analyst, you need strong analytical skills, proficiency in financial modeling, and a background in finance, accounting, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, and business intelligence platforms, as well as experience with commission management software like Xactly or Varicent, is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These skills ensure accurate commission calculations, informed business decisions, and clear communication between finance and sales teams.

What are some typical challenges Commission Financial Data Analysts face when working with large volumes of sales and commission data?

Commission Financial Data Analysts often encounter challenges related to data accuracy and integration, especially when consolidating information from multiple sales platforms or legacy systems. Ensuring that commission structures are correctly applied and discrepancies are quickly identified requires meticulous attention to detail and strong analytical skills. Additionally, collaborating closely with sales, finance, and IT teams is key to resolving data inconsistencies and streamlining reporting processes. Staying organized and using advanced data tools can help manage these complexities effectively.

What is the difference between Commission Financial Data Analyst vs Sales Analyst?

AspectCommission Financial Data AnalystSales Analyst
Required CredentialsBachelor's in Finance, Accounting, or related field; certifications like CFA or CPABachelor's in Business, Marketing, or related; often similar certifications
Work EnvironmentFinance departments, data analysis teams, corporate officesSales departments, marketing teams, corporate offices
Employer & Industry UsageFinancial institutions, corporations with commission-based salesRetail, technology, manufacturing, and service industries
Common Search & ComparisonYesYes

The Commission Financial Data Analyst and Sales Analyst roles share similarities in required education and work environment, often overlapping in industries like retail and corporate sectors. However, the Commission Financial Data Analyst focuses more on analyzing commission structures and financial data related to sales performance, while the Sales Analyst concentrates on sales trends, customer insights, and market analysis. Both roles are essential for optimizing sales strategies and financial planning within organizations.

How much does a commission financial data analyst earn?

A commission financial data analyst's salary typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Compensation may include bonuses or commissions based on performance, and proficiency with data analysis tools like Excel or SQL can influence earning potential.

What are the most commonly searched types of Financial Data Analyst jobs in Washington?

The most popular types of Financial Data Analyst jobs in Washington are:

Financial Intelligence Data Analyst, Mid

Booz Allen Hamilton

Vienna, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Key responsibilities

  • Support client and stakeholder relationships by analyzing data and providing insights.

  • Research, develop, and test data methodologies, and generate solutions through analysis, interpretation, and visualization of large data sets.

  • Present data findings and recommendations to clients and stakeholders using various data visualization formats.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Financial Intelligence Data Analyst, Mid

The Opportunity:
As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to inform policymakers of risks to the global financial system and economic security.

As a client-facing data analyst on our Financial Intelligence team, you'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you'll also advise your client on what the information means and how it can be used to make an impact on our national security policy and economic statecraft issues, contributing to high-profile intelligence analysis for key policy and decision-makers.

How You'll Contribute:
As a data analyst on our team, you'll:

  • Use your technical knowledge and analytical mindset to support client and stakeholder relationships.

  • Research, develop, and test data methodologies, and generate cross-functional solutions through analysis, interpretation, and visualization of large data sets for intelligence analysis.

  • Contribute to impactful work and guide decision-making across multiple organizations.

  • Apply communication skills and data analytics experience by simplifying technical requirements and trends based on audience.

  • Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, Python, Jupyter, and Microsoft Office Suite.

  • Establish quantitative and qualitative metrics to conduct large-scale financial or trade analysis in response to geopolitical developments.

  • Apply data visualization through different formats such as graphs, tables, PowerPoint slides, or Tableau.

  • Grow your communication and technical skills by creating data-centric solutions across intelligence community audiences.

Work with us to help drive large-scale business and process decisions through data insights.

Join us. The world can't wait.

You Have:

  • Experience using open-source machine learning frameworks to answer business questions using proprietary data

  • Experience with statistical analysis, correlating disparate data, and OpenSearch analytics engine

  • Experience with probabilistic modeling or predictive modeling

  • Experience with performing data analysis using scripting languages such as Python, R,MATLAB, Spark or PySpark

  • Experience implementing machine learning processes into production softwareapplications

  • Experience using big data tools to answer business questions with proprietary data

  • Experience in building property graphs from multiple data sources to perform networkanalytics

  • Ability to analyze large, unstructured, and noisy datasets and identify meaningful patterns that provide actionableresults

  • TS/SCI clearance

  • Associate's degree and 6+ years of experience with data analysis, Bachelor's degree and 4+ years of experience with data analysis, or Master's degree and 2+ years of experience with data analysis

Nice If You Have:

  • Experience conducting data analysis in a cleared and intelligence community environment

  • Experience with financial and trade data analysis

  • Knowledge of Western Hemisphere regional security, crime, or financial issues

  • Knowledge of formal and informal financial systems

  • Knowledge of financial crime and unlawful financial activity typologies

  • Ability to write finished intelligence products that conform to analytic tradecraft standards

  • Financial Intelligence, Certified Anti-Money Laundering Specialist (CAMS), Certified Global Sanctions Specialist (CGSS), or Certified Financial Crimes Specialist (CFCS) Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $62,000.00 to $141,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914