Enterprise Data & Analytics Product Analyst

Family Dollar; Chesapeake (VA); On-site; USD 91,000 - 102,000; Full time

Job summary

Family Dollar is seeking a skilled Business Analyst, Enterprise Data & Analytics, to help build scalable data and BI solutions across the enterprise. You will partner with Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores to deliver analytics, metrics, dashboards, and data capabilities.

You will collaborate with business partners and engineers to translate needs into requirements, define goals, and deliver actionable insights while driving adoption and

Qualifications

• Bachelor’s degree in a relevant field.
• 3+ years in product management, data analytics, BI, or related functions.
• 3+ years hands-on analytics, data, or visualization tool experience.
• Strong SQL and BI tool proficiency with executive presentation skills.
• Familiarity with Agile methodologies and writing epics/user stories.

Responsibilities

• Partner with leaders to develop enterprise data product strategy.
• Translate business needs into clear requirements and acceptance criteria.
• Build and own dashboards, KPIs, semantic data layers, and self-service analytics.
• Define UX requirements and user journeys with stakeholders.
• Collaborate with analytics and engineering to prototype metrics and dashboards.
• Manage scrum priorities, epics, and user stories with product vision.
• Ensure data quality, lineage, and governance meet enterprise standards.
• Document PRDs, user stories, acceptance criteria, and release notes.

Skills

SQL (BigQuery)

BI Tools

Tableau

Power BI

MicroStrategy

ETL/ELT

Data Modeling

Data Governance

KPI Definition

Agile

Communication

Education

Bachelor’s degree in Business, Information Technology, Analytics, or related field

Tools

BigQuery

Job description

Family Dollar is seeking a skilled Business Analyst, Enterprise Data & Analytics, to help build scalable data and BI solutions across the enterprise. You will partner with Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores to deliver analytics, metrics, dashboards, and data capabilities.

You will collaborate with business partners and engineers to translate needs into requirements, define goals, and deliver actionable insights while driving adoption and