Data Analyst I

Little Caesars PizzaDetroit, MI
2d

About The Position

Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact. Your Mission: The Data Analyst I will deliver insights, support business leaders, and assist in procuring data for functional analytics. The role will partner with business units to help ask critical questions and drive success. The Data Analyst will act as a storyteller who collects data from various sources to guide strategic business decisions. From optimizing reporting to solving ad hoc questions to deep investigation and study, the position will play a key component in helping make great decisions. The Data Analyst I will report to the Director, Data Science.

Requirements

  • Bachelor's Degree in business, technology, engineering, or a related field with proven data experience
  • 2 years’ experience directly related to the extraction and cleansing of data to make it fit for use, including the use of tools to do so
  • Excellent capability with Excel
  • Good capability with using SQL queries to extract large data sets for EDA and other purposes
  • Experience with data focused programming language R or Python
  • Understanding of the fundamentals of data warehouse, ideally in a cloud environment
  • Good written and verbal communication skills

Nice To Haves

  • Experience with Statistics, EDA, and data transformation
  • Experience in hybrid technical environment
  • Experience in large consumer facing industry – auto, retail, QSR
  • Experience with Power BI, Tableau or similar data visualization software
  • Knowledge of Databricks, Jupyter, and/or other sharable computational notebook applications

Responsibilities

  • Work with stakeholders to understand core issues and analytic needs
  • Translate business requirements across multiple functions into data solutions
  • Explore data to identify patterns and unearth new findings
  • Collect, clean, wrangle, and aggregate complex data from multiple sources
  • Solve business problems using statistical and inferential methods
  • Partners with leaders and peers in Data Governance and Master Data Management to ensure that policies, processes, methods, and tools are suitable to get data clean and keep it that way
  • Partners with key technology partners, like Data Warehouse, Data Architects and Engineering to ensure data is available and remains integral as it moves from ingestion to analysis

Benefits

  • medical
  • dental
  • vision insurance
  • 401(k) with company match
  • paid holidays and paid time off
  • legal and counseling services
  • flexible spending accounts
  • disability and adoption benefits
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