Data Analysts - Human Resource Solutions

    • Job Tracking ID: 513000-868487
    • Job Location: Hybrid, DC
    • Job Level: Mid Career (2+ years)
    • Level of Education: BA/BS
    • Job Type: Full-Time/Regular
    • Date Updated: 11/15/2023
    • Years of Experience: Not Applicable
    • Starting Date: ASAP
Invite a friend
facebook LinkedIn Twitter Email


Job Description

·        Recruitment service provider(s)  do not contact COE to offer recruiting assistance for this position.

Have you ever dreamed of going to a job that you love? One that includes working in a place where contributing to the client’s effectiveness, work-life balance, and quality performance are our hallmarks; a place where a collaborative environment will challenge you? Well, you need to look no further - COE is an award-winning workplace with a balanced focus on client, employee, and company. We offer benefits that exceed others and a flexible environment focused on your success.

So, if you are someone who focuses on high quality performance, relishes in achieving meaningful and measurable outcomes for clients, loves to perform with passion, and appreciates support and recognition, then COE is the right place - we are ready to invest in you!

About the Role

COE is seeking Data Analysts to provide Agile data science and analytics support consultation to our federal client with an emphasis on Human Resource solutions including HR Information Technology, Program Management, Human Capital Data Management and Modernization (HCDMM), and other data programs. This position will be mainly remote with occasional travel, as necessary, to client’s site in the Washington DC Metropolitan area.

Responsibilities

The candidate should apply with proven experience to execute the following:

  • Consulting with stakeholders using human centered design approaches to understand the need for data products and to identify a potential solution.
  • Identify, design, and implement data cleansing projects at OPM.
  • Translating customer requirements for data products (datasets, reports, dashboards) into technical specifications.
  • Identifying potential data sources and conducting assessments to determine data quality.
  • Analyzing source systems and designing new data structures for high-volume, complex HR data.
  • Accessing, transforming, cleansing, and testing data products using programming languages such as Python, R, and SQL.
  • Maintaining backlogs of work items in Agile development processes.
  • Developing Power BI datasets and dataflows, including the use of Data Analysis Expressions (DAX) and Power Query Formula Language (M Query) to enable agency access to data models on Federal HR data.
  • Developing and executing testing protocols and procedures throughout the entire data product development process.
  • Developing interactive reports and dashboards using Power BI.
  • Perform status reports, verify work plan completeness, and communicate with team members.
  • Implement business modeling, process modeling, and business design techniques.
  • Conduct analysis of appropriate consulting tools to satisfy program requirements and create project deliverables.
  • Assist with formulating diagnoses through financial or statistical modeling and assess appropriate alternatives.
  • Support teams providing all components of technology services including but not limited to, advise, implement, and operate services of people, process, and technology.

Experience and Skills

  • Must have prior experience working on Federal projects. Candidates without Federal experience will not be considered.
  • Bachelor’s degree in mathematics, statistics, engineering, social / physical / human resources, business, or related field with four (4) years’ experience in field OR minimum eight (8) years of experience in data analytics or a directly related field.
  • Must have US citizenship and ability to, or already possesses, a national security clearance to be considered.
  • Must have HR and PII experience to be considered.
  • Knowledge of data architecture and modelling, including relational databases.
  • Experience writing complex SQL statements to query databases.
  • Experience using programming languages (e.g. Python, R) to structure and analyze data.
  • Experience using business intelligence tools (e.g. Power BI, Tableau) to develop interactive data visualizations (e.g. charts, graphs).
  • Experience in program management support and IT implementation.
  • Proficient with field related tools.
  • Demonstrated skills of performing status reports, work plan completeness, reaching engagement milestones, and excellent verbal and written communication skills.
  • Implementing business modeling, process modeling, and business design techniques.
  • Strong skills at providing all components of technology services including, but not limited to advisement, implementation, and operational services of people, processes, and technology.
  • History of ethical and value-based performance.
  • Willing to work in a hybrid environment as described above.

Job Benefits

We are proud to have been recognized by Forbes as one of America's Best Management Consulting Firms. COE has also received consecutive awards of the prestigious "When Work Works" award in recognition of our engaging corporate culture and strong employee benefits!

We offer a wide variety of competitive benefits to meet the personal and family needs of our employees. The following information is a brief summary of these benefits and may be subject to change.

  • Medical, Dental, and Vision Insurance
  • Basic Life, Accidental Death, and Dismemberment Insurance
  • Short Term Disability Insurance
  • Long Term Disability Insurance
  • Accident Insurance
  • Voluntary Group Term Life and Accidental Death Benefit
  • Wellness Incentive Program
  • Employer-Paid Professional Development
  • Educational Assistance
  • Performance Incentive Bonus Plan
  • Flexible Spending Accounts
  • 401(k) Plan
  • Financial Planning Assistance
  • Employee Assistance Program
  • Smart Benefits®
  • Parking Assistance Policy
  • Holidays
  • Floating Holidays
  • Paid Time Off
  • Parental Leave