Demo

Business Data Analyst - Richmond, VA - Hybrid

Lorven Technologies
Richmond, VA Full Time
POSTED ON 2/15/2025
AVAILABLE BEFORE 5/4/2025

Position : Business Data Analyst

Location : 1200 E Main Street, Richmond, VA 23219 - Hybrid -

Contract Position

ABOUT THE ROLE

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 tobe 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 :

  • Work 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 VRS 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 VRS Change Management Process to ensure all activities flowthrough 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 implements best practices for theData Office.
  • Establish KPIs in coordination with business units to measure the effectiveness ofbusiness 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, 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 in Excel, DAX, Python.
  • Software development background.
  • Education and / or Experience

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

    This will be a contract position starting with a period of at least 6 months. To be effective, this resource would need to be available within the next 6 weeks. VRS desires to interview proposed individuals before final approval.

    The individual will follow the VRS Hybrid work schedule including 2 days onsite per week (Tuesday and Wednesday). The individual may also be called to be onsite for critical meetings and data related discussions. Onsite work will be at the VRS central office at 1200 East Main Street, Richmond, Virginia 23219

    Skill

    Required / Desired

    Amount

    of Experience

    Five years' experience working in data analysis, business analysis, data science, data warehousing in Pensions Benefit management, or related industry

    Required

    Years

    Experience working in an Agile development environment

    Required

    Years

    Ability to work independently and as part of a team that includes business and technical stakeholders

    Required

    Years

    Excellent problem-solving and analytical skills

    Required

    Years

    Strong communication and interpersonal skills

    Required

    Years

    Three or more years' experience designing dashboards and reports using BI tools such as, Power BI and / or Tableau

    Highly desired

    Years

    Strong SQL skills for querying and analyzing data

    Highly desired

    Years

    Knowledge in Excel, DAX, Python

    Desired

    Years

    Software development background

    Desired

    Years

    Experience in Pension Benefit Management Programs

    Desired

    Years

    Relevant certifications in SQL, Data Analysis, Power BI including Microsoft certified Data Analyst or other similar certification.

    Not Required

    Years

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