Data Analyst - Finance

Job Summary

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.

Key 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
  
  

Minimum Knowledge, Skills And Abilities

• 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
  
  

Preferred Skills, Knowledge And Abilities

• 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
  
  

Working Conditions

• This position may require minimal travel to vendor locations, assessment at stores and Ilitch Companies facilities, data centers or seminars/networking.
• Requires extended periods of time sitting and talking on the phone.
• Works in a normal office environment where there is no physical discomfort due to temperature, noise, dust, and the like.
  
  

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc.

Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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