Jobs · Information Technology · Missouri

Store Operations Data Analyst

O'Reilly Auto Parts · Springfield, MO · 4 wk ago
On-siteInformation TechnologyFull-time

About the role

The Store Operations Data Analyst works with field and corporate leadership to organize and present key business insights using data analysis and visualization tools. The goal is to understand specific business problems or performance opportunities and deliver meaningful insights from all available data to help our field leadership teams and other key stakeholders make important operational decisions.

Responsibilities

  • Make use of all available datasets to accomplish business objectives.
  • Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly, quarterly etc.), to ensure accuracy and timely execution.
  • Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
  • Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
  • Absorb and create new dashboards and reports as assigned.
  • Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
  • Communicate with responsible parties when abnormalities are identified.
  • Troubleshoot the reporting database environment and reports.
  • Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
  • Train end users on new reports and dashboards.

Requirements

  • 2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics.
  • Strong analytical skills.
  • Complex query statement construction experience (SQL/MySQL).
  • Acute attention to detail.
  • Prior experience working with relational databases, large datasets, and ETL processes.
  • Experience transforming data into usable information for non-technical consumers.
  • Strong interpersonal, communication, and collaborative skills.
  • Able to provide a high level of customer service inside and outside the team.
  • Proficient with Excel, Access, and Word.
  • Flexible and adaptable to new direction as business problems change.

Skills/Education/Knowledge/Experience/Abilities

  • Desired DOMO or other BI Tools experience.
  • Excellent verbal/writing skills.
  • Self-motivated.
  • Ability to work with limited supervision.
  • Collaboration and creativity.
  • Commitment to participate in additional training.
  • Experience in Automotive Retail or Service Industries.

Benefits

  • Total Compensation Package:
    • Competitive Wages & Paid Time Off
    • Stock Purchase Plan & 401k with Employer Contributions
    • Starting Day One:
      • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
      • Team Member Health/Wellbeing Programs
      • Tuition Educational Assistance Programs
      • Opportunities for Career Growth

Pay

Competitive Wages

Schedule

Full-time

Company Information

O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.

Equal Opportunity Employer

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions), age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.

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