Lead Business Analyst - Data Analysis, Agile methodology
Sweden
Job Description
Lead Business Analyst - Data Analysis, Agile methodology
Göteborg, Västra Götalands län

Job Summary

 

FG 2006 - FG 2006 - Data scientist (analyze / Python, R, SQL / automotive / power BI 

 

As a Data Scientist in the SW Program & Quality organization, you will play a key role in transforming complex and large-scale datasets into actionable insights that drive improvements in software reliability, product performance, and customer satisfaction.

You will analyze and interpret data from multiple sources to identify patterns, trends, and opportunities, enabling proactive quality strategies and data-driven decision-making across software development and system safety domains.

In this role, you will:

  • Analyze structured and unstructured data to uncover patterns, trends, and anomalies that impact product and process performance
  • Integrate and correlate data from multiple sources such as vehicle data, diagnostics, telemetry, and external datasets
  • Apply advanced analytical techniques including statistical analysis, machine learning, and data modeling
  • Perform forecasting and predictive analysis to support proactive quality initiatives
  • Explore and analyze contextual data such as environmental conditions and usage patterns
  • Translate complex analytical findings into clear insights and recommendations for both technical and non-technical stakeholders
  • Collaborate closely with software development and quality teams to turn insights into actionable improvements
  • Contribute to the continuous evolution of analytical methods, tools, and data science practices within the organization

Key Responsibilities

What you'll bring

We believe you are a curious and analytical professional with a strong capability to work with complex datasets and translate them into meaningful insights that create business value.

You bring:

  • Experience in data science, data analysis, or a similar analytical role
  • Strong skills in handling large and complex datasets, including data cleaning, structuring, and transformation
  • Solid knowledge of statistics and analytical methods
  • Experience with data science tools and programming languages such as Python, R, SQL or similar
  • Experience with machine learning and AI techniques for pattern recognition, prediction, and trend analysis
  • Ability to develop and apply data models and analytical frameworks to solve complex problems
  • Strong communication skills, with the ability to present insights clearly to diverse stakeholders
  • Experience working in cross-functional teams in a dynamic environment

Skill Requirements

It is a merit if you have

  • Experience within software, automotive, and quality domains
  • Knowledge of software development processes
  • Experience with data visualization tools such as Power BI or Tableau
  • Experience working with cloud-based data platforms
  • Familiarity with analyzing external data sources and diagnostics data
  •  

Who you are

You are a problem solver who enjoys working at the intersection of data, technology, and business impact. You can move seamlessly between high-level strategic analysis and detailed investigations. You are structured, proactive, and driven by turning data into insights that make a real difference.

 

Other Requirements

Mapped to VCC FG 2006

FG 2006 - Data scientist (analyze / Python, R, SQL / automotive / power BI 

 

Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7 billion.