AI-Driven Data Analyst for Engineering Ops

Ericsson; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

3 medical plan options

401(k) with company match

Paid time off

Job summary

Ericsson is seeking an AI-focused Data Analyst to transform operational data into actionable insights for leadership decisions in Austin. You will build dashboards, forecast models, and AI-enabled workflows, collaborating with Central Engineering, Strategy & Operations to improve data collection and reporting across engineering operations.

The role emphasizes SQL/Python analytics, Power BI visualization, and AI/automation to drive efficiency and strategic decision-making in a hybrid work

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Analytics, Data Science, or a related field.
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Responsibilities

• Develop and maintain leadership dashboards and reporting solutions using Power BI or equivalent platforms.
• Build and automate data pipelines that integrate information from multiple systems, ensuring data quality and consistency.
• Analyze resource utilization, headcount, budgets, and operational performance to identify trends, risks, and improvement opportunities.
• Develop forecasts and scenario models to support resource planning, investment decisions, and execution predictability.
• Apply AI/ML techniques, including LLMs and AI agents, to automate reporting, information retrieval, analysis, and operational workflows.
• Identify opportunities to simplify data collection, reduce manual effort, and improve the efficiency of operational processes.
• Translate complex data into clear, actionable insights and recommendations for engineering and leadership stakeholders.

Skills

SQL

Python

AI/ML

Data analysis

Power BI

Communication

Education

Bachelor's degree in Engineering, Computer Science, Data Analytics, Data Science, or related field

Tools

Power BI

Job description

Ericsson is seeking an AI-focused Data Analyst to transform operational data into actionable insights for leadership decisions in Austin. You will build dashboards, forecast models, and AI-enabled workflows, collaborating with Central Engineering, Strategy & Operations to improve data collection and reporting across engineering operations.

The role emphasizes SQL/Python analytics, Power BI visualization, and AI/automation to drive efficiency and strategic decision-making in a hybrid work