IT Data Analyst
Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Business Analysis
In short
Ericsson Enterprise Wireless Solutions is seeking a hybrid Data Analyst in Boise, ID, to support business requirements gathering, exploratory data analysis, and technical specification development for analytics, data, and AI-enabled solutions. The role focuses on front-end discovery and documentation, translating business needs into actionable requirements for technical teams.
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.
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.
Desired Qualifications
- Familiarity with Snowflake, dbt, Jira, Azure DevOps, Confluence, or GitLab.
- Exposure to Agile methodologies.
- Familiarity with data governance practices.
- Exposure to Power BI semantic models.
- Exposure to AI/ML analytics initiatives.
Benefits
- Opportunity for an annual bonus based on business and individual performance.
- 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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