Senior Business Intelligence Analyst
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Job Description
Senior Business Intelligence Analyst at Cox Automotive focusing on continuous improvement of Consumer/Retail solutions. Responsible for data analysis, insights, and collaboration with stakeholders to guide business strategies.
Responsibilities:
- The Sr Data Analyst will become an integral member of a team focused full time on continuous improvement of the Consumer / Retail solution, a division of Cox Automotive
- To succeed in this position, ingesting, cleaning, mining and transforming data will be required
- The Sr Data Analyst will also build and validate metrics, monitor data quality, analyze various forms of data (e.g. raw data, base data, 3rd party data, metrics), provide robust reports and interpret results
- The Sr Data Analyst will work with stakeholders to provide insights into the data and deep-dive analysis for new product offerings and trends in the market
- They will work alongside team members to achieve operational objectives that align to a strategic business plan
- This position must be able to communicate equally well with business owners, stakeholders, cross functional teams, and technology professionals
- Excellent analytical skills, a professional demeanor and the ability to participate in a team environment are keys to this position
Requirements:
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship
- No OPT, CPT, STEM/OPT or visa sponsorship now or in future
- Automotive industry experience preferred
- Bachelors Degree in related discipline + 4 years direct experience or an equivalent combination of education and work-related experience required
- Must have 4+ years of experience performing data analysis and building data processes
- 2+ years working with Agile Scrum teams, ETL development, and cloud data warehouses like Redshift and Snowflake preferred
- Must have experience in digital or web analytics
- Proficiency in writing and optimizing complex SQL queries, stored procedures, and task scheduling
- Proficient in SQL across platforms such as Snowflake, Oracle, MS-SQL, and DB2
- Must have snowflake experience
- Hands-on experience in designing, developing, testing, and implementing ETL solutions
- Skilled in handling and analyzing large-scale datasets
- Knowledgeable in data extrapolation, interpretation, and effective chart/visual compilation
- Proven experience conducting both quantitative and qualitative analysis
- Experienced with data visualization and reporting tools including Power BI (with AI/CoPilot experience a plus), Tableau, and DOMO
- Experience presenting data-driven insights to leadership to guide decision-making preferred
- Power user of MS Office suite (Excel, PowerPoint) for business analysis and presentations
- Collaborative nature with the ability to balance strategic vision and tactical execution
- Strong understanding of data science concepts, machine learning applications, and product management principles
- Experience with web analytics tools such as Google Analytics, Adobe Analytics, and other tagging technologies preferred
- Exposure to AI-powered analytics tools, automation frameworks, or machine learning models integrated into BI workflows is a plus
- Ability to adapt to emerging AI-driven data tools such as CoPilot in Power BI/Tableau to accelerate analysis and reporting
Benefits:
- The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations
- seven paid holidays throughout the calendar year
- up to 160 hours of paid wellness annually for their own wellness or that of family members
- Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave
- health care insurance (medical, dental, vision)
- retirement planning (401(k))
- paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
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