IT Data Analyst

EricssonBoise, ID
Hybrid

About The Position

Ericsson Enterprise Wireless Solutions is seeking a Data Analyst to support business requirements gathering, exploratory data analysis (EDA), and technical specification development for analytics, data, and AI-enabled solutions. Based in Boise, ID (hybrid, 3 days onsite per week), this role sits within the Central Data & AI — Standards & Solutions team and reports to the Director, Data Analytics & AI. It serves as a key bridge between business stakeholders and technical delivery teams, translating complex or evolving business needs into clear, testable, and actionable requirements. The primary focus is front-end discovery, requirements definition, documentation, validation, and delivery coordination — not engineering build activities.

Requirements

  • Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science, Finance, or equivalent practical experience
  • 2+ years of experience in a data analyst, business analyst, BI analyst, product analyst, or similar requirements-focused role
  • 1–2 years of hands-on SQL experience (joins, filters, aggregations, CTEs, exploratory profiling)
  • Demonstrated ability to gather stakeholder requirements and translate them into clear documentation for technical teams
  • Strong written and verbal communication skills; able to adapt style for both technical and non-technical audiences
  • Experience with data visualization tools such as Tableau, Power BI, or equivalent
  • Understanding of data warehousing concepts (tables, views, dimensions, facts, grain)
  • Strong organizational skills with the ability to manage multiple workstreams and follow through on commitments

Nice To Haves

  • Familiarity with Snowflake, dbt, Jira, Azure DevOps, Confluence, or GitLab; exposure to Agile methodologies, data governance practices, Power BI semantic models, or AI/ML analytics initiatives

Responsibilities

  • Partner with business stakeholders to gather, clarify, and document requirements for analytics, reporting, data products, semantic models, and AI-enabled solutions
  • Translate ambiguous business requests into structured problem statements, user stories, acceptance criteria, and technical specifications
  • Conduct exploratory data analysis using SQL to validate assumptions, assess data availability, and identify data quality issues
  • Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions
  • Facilitate discovery sessions, requirements workshops, stakeholder interviews, and cross-functional alignment meetings
  • Create and maintain documentation including business requirements documents, process flows, metric definitions, test scenarios, and decision logs
  • Support Agile delivery by writing user stories, documenting acceptance criteria, and participating in sprint planning and prioritization
  • Identify gaps between stakeholder expectations, available data, and technical feasibility; proactively communicate risks and tradeoffs
  • Support user acceptance testing and promote consistent use of data definitions and standardized analytics practices

Benefits

  • Subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution.
  • 401(k) plan with a 4% company match and immediate vesting.
  • Company-paid employee basic life and AD&D insurance.
  • Company-paid disability benefits.
  • A minimum of 15 days of accrued vacation.
  • Up to 3 personal days per year.
  • 11 annual holidays.
  • 8 hours of volunteer time.
  • 80 hours of sick time annually.
  • Up to 16 weeks of paid maternity leave.
  • 6 weeks of parental or adoption leave at 100% of pay.
  • Comprehensive Employee Assistance Program.
  • Mobile therapy.
  • Volunteer paid time off.
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