Business Intelligence Analyst II

Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Business Intelligence Analyst II

Management Level

Individual Contributor

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $70,700.00 - $106,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

Cox Automotive is seeking a Business Intelligence Analyst II to join our Product & Technology team in Atlanta, GA or North Hills, NY.  As a Business Intelligence Analyst II, you will be a pivotal member of our Analytics & Reporting team, working to establish a data driven approach to provide metrics and information on Product & Technology delivery performance and team performance to enable our agile teams to operate successfully.  You will acquire, synthesize and organize data in the form of reporting to create actionable insights.

You will have exceptional hands-on experience working with, visualizing and interpreting data; data modeling; and working with peers and boundary partners in the Technology ecosystem to continually refine and improve processes and knowledge.

What You’ll Do

Responsibilities

• Collaborates and supports cross-functional teams within the organization to make data-driven business decisions aimed at growth / business optimization
• Builds and delivers recurring reports and dashboards to meet stakeholder needs
• Writes efficient queries to retrieve data
• Understands the business and insights that are important to stakeholders  
• Designs reports and dashboards that visually present the data in ways that enable the findings to be easily understood even by non-analytical audiences
• Supports the maintenance of reporting capabilities by performing regular metric and query audits as well as ad hoc analysis  
• Validates the data in our reporting systems to ensure its accuracy and to align on business definitions
• Documents the metrics included in each report and their queries and data sources
• Supports the application of natural language generation technology to generate foundational insights for reports and dashboards, including initial analyses required for manual validation
• Maintains reporting assets in a centralized location to enable organization-wide self-service and reduce redundancy
• Applies accepted methods and tools to identify, gather, develop and analyze appropriate datasets
• Must be able to learn and use analytics and other relevant technologies (e.g. SQL-based databases, data visualization software, etc.)
• Supports Analytics Leads or other leaders for company initiatives/projects to help drive execution according to project milestones and timelines
• Able to perform the duties above working closely with manager or under the guidance of analytics or stakeholder leaders
• Works with manager and direct line of leadership to understand priorities, must be able to deliver against business goals working both independently and collaboratively with cross-functional teams

Who You Are 

Minimum

• BA/BS in related disciplines (Data Science, Information Technology, Computer Science, etc.) or equivalent experience
• Preferred: Master's Degree in related disciplines (Data Science, Information Technology, Computer Science, etc.)
• Professional experience required: 2+ years or equivalent combination of master's degree and work-related experience
• 2+ years’ experience with the following or related tools and areas is required:
  • Analytics platforms like Power BI and Snowflake 
  • Microsoft Office Suite (specifically intermediate Excel proficiency)
  • Intermediate Excel skills including formulas and graphs
  • Basic SQL Programming skill
  • Ability to synthesize large volumes of data and complex questions into clear analyses and actionable findings
  • Basic knowledge of statistical analysis
  • Agile experience; understands agile constructs (epics, features, stories, etc.)

• Soft skills required:
  • A self-motivated approach which includes an appetite to improve results and endless intellectual curiosity, desire to continuously learn about the fast-changing digital and automotive landscape
  • Strong organizational skills and the ability to effectively prioritize in a deadline-driven atmosphere with evolving priorities. Flexible working style; ability to switch gears at light speed and thrive