Lead Engineer - Power BI at Autoliv in Autoliv, Karnataka, IN

About the Role

Power BI Lead & BI Subject Matter Expert (SME) Responsible for driving the design, architecture, governance, and delivery of scalable business intelligence solutions using the Microsoft Power BI and Enterprise Data warehouse platforms. Owns enterprise semantic models, data quality standards, and reporting frameworks while acting as a technical leader for BI initiatives and small development teams, ensuring high-quality and business-aligned analytics solutions across the domains

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Key Responsibilities

• Team Leadership & Delivery

  • Lead, coach and develop a team of Power BI developers and analysts, setting clear objectives and supporting professional growth.
  • Plan and prioritise team workload to meet delivery milestones and business needs.
  • Ensure high quality, maintainable and well-documented Power BI reports and data models.

• Power BI Development & Architecture

  • Design and implement scalable Power BI solutions including data modelling, DAX calculations, report visualisation and performance optimisation.
  • Define and maintain standards, templates and reusable components for report development and data modelling.
  • Work with data engineering to define data requirements, ETL strategy and data quality checks to support BI solutions.

• Stakeholder Engagement

  • Collaborate with business stakeholders to understand requirements, translate them into technical designs and ensure delivered solutions meet user needs.
  • Present insights and visualisations to non-technical audiences; advise on best practice for self-service analytics and adoption.

• Governance, Security & CI/CD

  • Implement and enforce BI governance practices including workspace organisation, version control, access management and data security.
  • Support automation of deployment pipelines and testing to enable repeatable, low-risk releases to production.

• Performance Monitoring & Continuous Improvement

  • Monitor report performance and usage metrics; drive optimisation and rationalisation where appropriate.
  • Champion a culture of continuous improvement by identifying opportunities to enhance reporting, reduce manual effort and increase business value.

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Performance Deliverables

• Timely delivery of reliable Power BI reports and dashboards that meet stakeholder requirements.
• High team engagement and demonstrable development of team members' skills.
• Adherence to BI governance, security and deployment standards across all solutions.
• Measurable improvements in report performance, data quality and user adoption.

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Requirements

Education

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business or a related discipline, or equivalent practical experience.

Experience

• Typically 7+ years’ experience building Power BI solutions and 1–2 years in a leading role or with responsibility for mentoring colleagues.
• Proven experience working with SQL and data modelling in a production environment.

Functional Skills

• Strong proficiency with Power BI Desktop, Power BI Service, DAX and Power Query (M).
• Experience with data warehouses, star schema design and ETL processes.
• Familiarity with Snowflake or other cloud data platforms is desirable.
• Knowledge of report performance tuning, incremental refresh and security roles.

Behavioural Skills

• Demonstrable leadership and coaching skills with a collaborative approach.
• Strong communication and stakeholder management skills; able to translate technical detail for business audiences.
• Problem-solving mindset with attention to detail and a focus on delivering value.

Languages

• English (required).

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Additional Information

• Hybrid working arrangements may be available depending on business needs.
• Occasional travel to other sites or meetings may be required.
• Commitment to inclusive and collaborative working practices; applications are welcome from all suitably qualified candidates.

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Why Join Us

• Opportunity to lead and shape analytics capability within a supportive, growth-oriented organisation.
• Exposure to diverse business challenges and meaningful impact on decision-making across the company.
• Access to training, development and career progression in data and analytics.