Data Product Analyst (Hybrid) — Turn Data Into Insights

Compass Group USA

Charlotte (NC)

Hybrid

USD 90,000 - 120,000

Full time

4 days ago

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Benefits offered by this job

Medical

Vision

Life Insurance/AD

Disability Insurance

Retirement Plan

Paid Time Off

Holiday Time Off

Employee Assistance Program

Job summary

Compass Group USA's technology organization in Charlotte is seeking a Technical Business Analyst to bridge business needs with data products and technical solutions in a hybrid work setting. The role partners with business stakeholders, Product Managers, Data Engineers, and Architects to define requirements and support Agile delivery for enterprise data initiatives.

The ideal candidate combines strong analytical skills with business acumen and a passion for transforming data into trusted,

Qualifications

4+ years of experience as a Business Analyst, Data Analyst, or Data Product Analyst.
Solid understanding of data products, data management principles, data warehousing, and BI tools.
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication and interpersonal skills, with the ability to convey complex concepts to both technical and non-technical audiences.
Proficiency in SQL; experience with data visualization tools such as Looker, Power BI, Tableau, or similar platforms is preferred.
Experience working within Agile or SAFe delivery frameworks and tools such as Azure DevOps.
Ability to work independently and collaboratively within cross-functional teams.
Comfortable navigating ambiguity, competing priorities, and evolving business needs.

Responsibilities

Elicit, document, and prioritize data and analytics requirements with business partners.
Analyze business processes to identify data needs and improvement opportunities.
Create documentation including BRDs, user stories, acceptance criteria, data definitions, and use cases.
Translate business requirements into Features, User Stories, data requirements, and specs.
Collaborate with Product Managers, Data Engineers, and Architects to define data products.
Participate in development, testing, and deployment of data solutions.
Ensure data quality, integrity, and consistency across solutions.
Support validation, testing, and adoption of data products and reporting tools.
Serve as liaison between business users and technical teams.
Provide regular updates to stakeholders on progress and outcomes.
Support user adoption through documentation and demonstrations.
Adapt to changing priorities and communicate effectively with partners.
Stay current with data analytics trends and industry practices.
Identify opportunities to enhance data processes, tools, and governance.