IT Data Analyst

Grow with us!

• This role is a hybrid position with the expectation to work onsite (3) three days a week in Boise, Idaho and relocation is not offered for this position.
• Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s, E-3’s, O-1’s, and TN’s. Ericsson also does not hire F-1’s working on CPT or EAD for this 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,  (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.

• 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

• 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 work streams and follow through on commitments

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

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Ericsson uses a merit‑based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is…