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Data Analyst | Richmond, Va | 80K

Company

Vaco

Address Glen Allen, VA, United States
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-06-25
Posted at 11 months ago
Job Description

  • Need this person to have Python or R
    • SQL is nice to have
  • Excel (Pivot Table, VLookUp)
  • SQL is nice to have
  • 2 days onsite a week
To help build on this success, we are seeking a Data Analyst. This position will be responsible for not only analyzing large amounts of raw data, but also generating insights into improving the ways that we perform our business. Using the latest analytic tools and processes, the Data Analyst will build and operate models to maximize our processes within our company. In this fast-paced role, they will be faced with both daily challenges and long running projects that will be sure to inspire and excite.
Are you the right fit? You will know if…
  • Your work associates come to you for advice or your opinion.
  • The questions you ask draw out the best from those with whom you collaborate.
  • You are comfortable in an open work environment, where initiative, credibility, curiosity, and competence are prized.
  • Your boss hands you the toughest assignments.
If this is you, apply online today!
Responsibilities will include:
  • Building and maintaining financial / business performance models.
  • Conducting frequent ad hoc analyses across business functions.
  • Conducting competitive and market analyses.
  • Support multiple departments in the development of long-term strategic plans.
  • Contributing to business improvement discussions and initiatives company wide.
  • Developing presentations for senior management.
  • Working closely with Accounting, Marketing, Pricing and Onsite teams.
  • Development and reporting of company KPI's.
  • Developing reports for onsite teams to optimize day to day operations.
  • Budgeting and Forecasting.
Qualifications:
  • Ability to analyze and document business processes.
  • Bachelor's degree in Statistics, Economics, Business Administration, IT, or similar equivalent.
  • Strong experience working with and manipulating large data sets using a programming language such as Python or R.
  • Excellent written and communication skills.
  • Advanced skills in Microsoft Excel.
  • 2-5 year's total business experience, ideally with strong data concentration.
  • Experience evaluating financial metrics and decisions.
  • Ability to think analytically and solve problems.
  • Experience automating and improving existing reporting.