Business Data Analyst

Job Title: Business Data Analyst
Location: Richmond, VA (hybrid)
Duration: 06+ Months

About The Role:
The Client Data Office team is seeking one (1) senior Business Data Analyst with strong problem-solving, organizational, and communication skills. This role will be expected to collaborate with the Data Office, Business, IT, and other stakeholders and play an active role in the Data Quality Enhancement initiative. The individual is expected to be a self-starter who is comfortable prioritizing and effectively managing their daily workload.

The role will be involved in enhancing data governance, ensuring data quality, and collaborating with stakeholders across departments to analyze, design, and deliver data-driven solutions.
The ideal candidate has expertise in business data analysis, excels at communicating technical information to non-technical audiences, and ability to leverage tools like SQL, Power BI, and Tableau.

Essential Duties and Responsibilities:

• Worke effectively with business process owners and data owners to ensure data-related business objectives are understood and documented.
• Gather, evaluate, and document requirements related to data for new systems or enhancements based on business user input, technical requirements, and constraints.
• Manage multiple projects, timelines, and priorities.
• Support individual team members in the data office as well as various business units by designing customizable tabular or visual reports with available tools.
• Data Analysis
• Develop innovative data strategies for meeting business requirements, including leveraging the capabilities of existing technology tools or acquiring/developing new technology tools.
• Design data-focused automated and manual solutions to solve business problems and achieve business objectives.
• Structure large data sets to find usable information.
• Collaborate with various business and technology teams to collect and analyze data.
• Create reports and visualizations for internal teams and stakeholders.
• Perform assessments, make sound recommendations, and present findings to ensure client is procuring or building the most effective value-added solutions.
• Create presentations and reports based on recommendations and findings.
• Prepare reports, flowcharts, diagrams, detailed documentation and other written materials.
• Present findings through various written and verbal communication channels with key users and agency executives.
• Data Office Support
• Serve as subject matter expert on Data Analytics.
• Act as a liaison between the business teams and IT teams for data-related initiatives.
• Participate and assist with the client Change Management Process to ensure all activities flow through change management (documentation, test plans, approvals, etc.).
• Manage risk and provide timely status reports and project updates to stakeholders.
  Provide cross-team support when needed to achieve technical goals, knowledge sharing,
• Agency Performance Outcomes (APOs) and operational measures (OMs).
• Participate in software/hardware security reviews and implement best practices for the Data Office.
• Establish KPIs in coordination with business units to measure the effectiveness of business decisions.
• Perform special projects as assigned.
• Other duties may be assigned.

Required Skills and Experience:

• Five years experience working in data analysis, business analysis, data science, and data warehousing in Pensions Benefit management, or related industry
• Experience working in an Agile development environment.
• Ability to work independently and as part of a team that includes business and technical stakeholders.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.

Desired Skills:

• Three or more years experience designing dashboards and reports using BI tools such as Power BI and/or Tableau.
• Strong SQL skills for querying and analyzing data.
• Knowledge of Excel, DAX, and Python.
• Software development background.

Education and/or Experience:

• Bachelor s degree from a four-year college or university preferred and 5+ years of experience with technology or data organizations required. An equivalent combination of education and experience may also be considered.