Business Intelligence Sr Analyst

Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Business Intelligence Sr Analyst

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 in the range of $89,400.00 - $. 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.

The Business Intelligence Sr Analyst will serve as a strategic, hands-on partner who connects business strategy to the data that powers it across Cox Automotive’s Fleet Data team. Rather than functioning as a traditional analyst, this person acts as a data strategist and translator - someone who understands the full end-to-end lifecycle of data, from source systems and applications through to downstream destinations such as Tableau dashboards, distributed reports, and external systems.

This role collaborates closely with senior leaders to translate data strategy and directives into clear, actionable requirements, and works alongside technical data teams (Data Engineers, Data Architects, and Data Analysts) and non-technical stakeholders (such as Product) to ensure that decisions across the business align with established data strategy, principles, and schema design.

A successful candidate will be comfortable working across multiple systems - mapping and unifying data from disparate sources - and will help ensure that upstream decisions do not compromise downstream data pipelines, reporting, or data integrity. This is a technical role that emphasizes strategic thinking, business context, and strong communication. The Sr Analyst will be expected to remain in the weeds, performing hands-on work while helping safeguard the reliability and consistency of the insights the business depends on.

• Data governance
  - Help ensure alignment between operational processes and data integrity, enabling consistent and reliable BI insights (for example, standardizing how concepts such as “urgent” work are defined and captured across systems).
• Data strategy support
  - Serve as the BI point of contact to support adherence to data strategy across business processes and reporting, helping carry out strategic directives received from senior leadership.
• Customer reporting support
  - Provide backup support for customer reporting and insights, contributing to the significant lift on data integrity and alignment required as multiple systems and data sources are brought together.

• Collaborate with senior leaders in allied and supported functions (e.g., Product, Operations, Finance, Marketing) to identify business opportunities & develop the associated informational and data requirements.
• Translate data strategy and directives received from leadership into clear, actionable requirements that can be communicated to both technical data teams and non-technical stakeholders.
• Determine data collection, synthesis, and analytical methodologies for investigating identified challenges and opportunities across the data lifecycle - from source systems and applications through to downstream reporting and external destinations.
• Work closely with Data Engineers and Data Architects to help ensure that data is modeled in ways that align with data strategy and that reporting goals remain achievable.
• Recommend and help define criteria and guardrails for non-technical stakeholders to support adherence to data strategy, schema requirements, and data principles - helping prevent upstream changes from breaking downstream data pipelines.
• Devise methods for identifying data patterns and trends, and quality issues - investigating and tracing them to their root cause independently or in partnership with Data Engineers.
• Support work to map, unify, and reconcile data across multiple systems and sources, helping ensure consistency and reliability of unified datasets.
• Deliver…