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1 день назад

Senior Business Analyst – Retail Data Products

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Business Analyst – Retail Data Products (Data Governance/SQL): Designing and delivering enterprise data products, curated datasets, and analytics solutions with an accent on requirements translation, data quality, governance, and KPI validation. Focus on analyzing and reconciling data with SQL, defining governed data standards, executing UAT and regression testing, and enabling self-service analytics across business and technical teams.

Location: Sandy Springs (Atlanta), Georgia, USA; Atlanta, Georgia; Dallas, Texas; or Daytona Beach, Florida

Company

Brown & Brown is building enterprise data products and analytics solutions that support data-driven decision-making.

What you will do

  • Elicit, document, and prioritize data and analytics requirements, translating them into user stories, data definitions, mappings, and acceptance criteria.
  • Support the design and delivery of data pipelines, curated datasets, and enterprise data products within Agile delivery processes.
  • Analyze and reconcile data across systems using SQL, validate KPIs, and perform root-cause analysis for data issues.
  • Define and monitor data quality rules, KPIs, SLAs, controls, dictionaries, glossaries, and lineage documentation.
  • Lead governance workflows, issue triage, audits, data stewardship, and alignment among business, IT, data engineering, architecture, and third-party partners.
  • Develop test plans, execute UAT and regression testing, validate releases, and enable adoption of governed self-service analytics.

Requirements

  • Bachelor’s degree in Analytics, Information Systems, Computer Science, or a related field.
  • 5–8+ years of experience in business or data analysis, BI, or data product support.
  • Strong SQL and data analysis skills, including data validation and reconciliation.
  • Experience with data platforms, data warehousing, data modeling concepts, requirements gathering, user stories, and backlog management.
  • Knowledge of data governance, lineage, metadata, data quality frameworks, and KPIs.
  • Strong communication and stakeholder management skills with the ability to translate between business and technical teams.

Nice to have

  • Experience with cloud platforms focused on data, AI, and analytics outcomes.
  • Exposure to ETL/ELT tools, data catalog and governance tools, or third-party data partners.
  • Experience in insurance, finance, or other data-heavy industries.
  • Familiarity with MDM concepts, including customer master data, deduplication, and golden records.
  • Exposure to AI/ML-ready data ecosystems.

Culture & Benefits

  • Meritocratic culture emphasizing self-direction, ownership, and customer-focused work.
  • Medical/Rx, dental, vision, life, and disability insurance.
  • ESPP, 401(k), student loan assistance, and tuition reimbursement.
  • Mental health and enhanced advocacy services.
  • Paid time off, holidays, and preferred partner discounts.

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