Data Analyst
Austin, TX, US
- Pay
Multiple pay amounts — pay source
Your Financial Security We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Read the full posting- Work setting
Working pattern needs review — work setting source
Austin, Texas Hybrid work schedule. This is not a remote work opportunity Role Overview Ericsson Silicon is scaling its custom ASIC capabilities across 5G Advanced and 6G. Central Engineering provides the design methodologies, tools, and infrastructure that enable silicon development. The Strategy & Operations (StrOps) team supports organizational strategy, operational efficiency, financial stewardship, and execution excellence. We are looking for an AI-focused Data Analyst to transform operational data into actionable insights that support leadership decisions. You will develop dashboards, forecasts, and analytical models while leveraging AI and automation to improve how information is collected, analyzed, and communicated. This role combines strong analytical capabilities, practical AI skills, and an understanding of engineering operations. What you will do: • 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.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild and maintain leadership dashboards and reporting in Power BI
Build and automate data pipelines across multiple systems
Analyze headcount, budgets and utilization to find trends and risks
Develop forecasts and scenario models for resource and investment planning
Apply LLMs and AI agents to automate reporting and analysis
From the employer’s posting
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.
Education & alternatives
What you will do: • 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. What you will bring: • Bachelor's degree in Engineering, Computer Science, Data Analytics, Data Science, or a related field. • 3–5 years of experience in data analytics, business intelligence, or related analytical roles. • Proficiency in SQL and Python for data analysis, scripting, and automation. • Hands-on experience with data visualization, data modeling, and reporting tools such as Power BI. • Practical experience applying AI/ML technologies, including LLMs, AI-assisted analysis, or intelligent workflow automation. • Strong analytical and problem-solving skills, including the ability to work with complex, inconsistent data from multiple sources. • Ability to communicate analytical findings clearly to technical and nontechnical stakeholders. Additional highly Preferred Qualifications:
Additional highly Preferred Qualifications: • Master's degree in a relevant technical or analytical discipline. • Experience in semiconductor, hardware, R&D, or other complex engineering environments. • Familiarity with AI frameworks, LLM APIs, retrieval-augmented generation (RAG), or agent-based automation. • Experience with financial analysis, budgeting, forecasting, or resource planning. • Experience improving operational reporting or analytics processes across multiple teams or locations. • Demonstrated initiative in identifying and implementing data-driven process improvements. ## Join our Team
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Power BI
Source — Tool mentions in context
What you will do: • 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. What you will bring: • Bachelor's degree in Engineering, Computer Science, Data Analytics, Data Science, or a related field. • 3–5 years of experience in data analytics, business intelligence, or related analytical roles. • Proficiency in SQL and Python for data analysis, scripting, and automation. • Hands-on experience with data visualization, data modeling, and reporting tools such as Power BI. • Practical experience applying AI/ML technologies, including LLMs, AI-assisted analysis, or intelligent workflow automation. • Strong analytical and problem-solving skills, including the ability to work with complex, inconsistent data from multiple sources. • Ability to communicate analytical findings clearly to technical and nontechnical stakeholders. Additional highly Preferred Qualifications:
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Hybrid work schedule. This is not a remote work opportunity Role Overview Ericsson Silicon is scaling its custom ASIC capabilities across 5G Advanced and 6G. Central Engineering provides the design methodologies, tools, and infrastructure that enable silicon development. The Strategy & Operations (StrOps) team supports organizational strategy, operational efficiency, financial stewardship, and execution excellence. We are looking for an AI-focused Data Analyst to transform operational data into actionable insights that support leadership decisions. You will develop dashboards, forecasts, and analytical models while leveraging AI and automation to improve how information is collected, analyzed, and communicated. This role combines strong analytical capabilities, practical AI skills, and an understanding of engineering operations. What you will do: • 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. What you will bring: • Bachelor's degree in Engineering, Computer Science, Data Analytics, Data Science, or a related field. • 3–5 years of experience in data analytics, business intelligence, or related analytical roles. • Proficiency in SQL and Python for data analysis, scripting, and automation. • Hands-on experience with data visualization, data modeling, and reporting tools such as Power BI. • Practical experience applying AI/ML technologies, including LLMs, AI-assisted analysis, or intelligent workflow automation. • Strong analytical and problem-solving skills, including the ability to work with complex, inconsistent data from multiple sources. • Ability to communicate analytical findings clearly to technical and nontechnical stakeholders.
About Ericsson
To ensure clarity, we provide detailed position descriptions for each opportunity at stage 8 and 9, outlining specific responsibilities and domains.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 13
- Last seen by us
- Oct 30, 2026
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Austin, TX, US
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