Analytics Engineering Lead

Analytics Engineering Lead

The Role

The Analytics Engineering Lead is responsible for translating Clarios’ global data and analytics strategy into scalable, secure, and high-quality analytics solutions that enable data-driven decision-making across the organization. This role leads the technical design, development, and delivery of analytics products, metrics, integrations, and reporting capabilities while ensuring alignment with enterprise architecture, governance standards, and business priorities.

Acting as a key technical leader, the Analytics Engineering Lead partners with business stakeholders, data scientists, architects, infrastructure teams, and global delivery teams to deliver innovative analytics capabilities that generate measurable business value and support Clarios’ strategic objectives.

What You’ll Do (Impact Areas)

Analytics Engineering & Solution Delivery

- Lead the design, development, and deployment of scalable analytics solutions that support business and operational decision-making.
- Ensure enterprise metrics are developed and deployed according to established global analytics standards.
- Own the technical execution of the analytics delivery backlog and roadmap.
- Translate business requirements into robust, secure, and scalable analytics solutions.
- Drive delivery of analytics use cases that align with business priorities and enterprise architecture standards.

Technical Leadership & Architecture

- Provide strategic input to the Clarios Analytics technical roadmap, including platforms, tools, development practices, and emerging technologies.
- Partner with Enterprise Architecture teams to ensure appropriate architectural foundations are in place for analytics solution development.
- Establish technical standards, design principles, and best practices for analytics engineering.
- Evaluate and recommend technologies that improve analytics capabilities and business outcomes.

Data Engineering & Analytics Enablement

- Collaborate with Data Scientists to transform raw data into predictive modeling and analytics-ready datasets.
- Oversee development of data pipelines, integrations, and data models that support enterprise analytics.
- Ensure data quality, consistency, security, and governance across analytics platforms.
- Enable advanced analytics, predictive modeling, and business intelligence solutions through effective data architecture.

Project Delivery & Agile Execution

- Lead technical estimation activities and define resource requirements for analytics initiatives.
- Manage technical delivery teams operating in Agile environments across onshore and offshore locations.
- Ensure development activities remain aligned with project timelines, dependencies, and business expectations.
- Communicate project status, risks, issues, and progress effectively to stakeholders.

Governance, Quality & Security

- Ensure all analytics solutions comply with Clarios architecture, security, governance, and quality standards.
- Maintain proper documentation, traceability, configuration management, and compliance with record retention policies.
- Oversee all aspects of solution delivery throughout the Software Development Lifecycle (SDLC), including infrastructure, integrations, performance, disaster recovery, and support transitions.
- Drive operational excellence through quality assurance and continuous improvement practices.

Business Partnership & Innovation

- Collaborate closely with business stakeholders to identify opportunities where analytics can create measurable value.
- Advise business leaders on leveraging predictive analytics and data-driven insights to improve decision-making.
- Drive innovation by evaluating emerging analytics technologies and methodologies.
- Promote a culture of data-driven decision-making throughout the organization.

Platform & Integration Management

- Oversee analytics integrations across enterprise platforms and applications.
- Collaborate with Global Infrastructure teams to support platform development and optimization.
- Ensure analytics environments are scalable, secure, and high-performing.
- Monitor and improve system performance, connectivity, and operational reliability.

What Success Looks Like

- Enterprise metrics and analytics solutions are consistently delivered according to global standards.
- Analytics platforms provide trusted, scalable, and business-ready insights.
- Data quality, governance, and security standards are maintained across all solutions.
- Business stakeholders leverage analytics capabilities to drive better decisions and measurable outcomes.
- Technical delivery teams execute efficiently and consistently meet project commitments.
- Analytics solutions are scalable, supportable, and aligned with enterprise architecture.
- Emerging technologies and advanced analytics capabilities are successfully integrated into the analytics ecosystem.
- Strong collaboration exists across business, data, architecture, and infrastructure teams.

Core Competencies

- Analytics Engineering & Solution Delivery.
- Data Warehousing and Data Modeling.
- Business Intelligence and Reporting.
- Cloud Data Platforms and Architecture.
- Strategic Thinking and Innovation.
- Agile Delivery Leadership.
- Stakeholder Collaboration and Business Partnership.
- Data Governance and Quality Management.
- Problem Solving and Root Cause Analysis.
- Technical Architecture and Design.
- Team Leadership and Cross-Functional Coordination.
- Continuous Improvement and Operational Excellence.

What You Bring (Qualifications)

Required

- Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Statistics, Data Science, Engineering, Economics, Business, or a related field.
- Minimum of 5 years of experience developing Business Intelligence and analytics solutions.
- Strong knowledge of data warehousing, database design, normalization, and data modeling concepts.
- Experience working with structured and unstructured data platforms.
- Strong proficiency in SQL, PL/SQL, and data manipulation tools.
- Experience with Power BI, Power Query, Power Pivot, SSAS, SQL Explorer, or similar Business Intelligence technologies.
- Experience working in Agile delivery environments with onshore and offshore teams.
- Strong communication and stakeholder management skills.
- Proven troubleshooting, performance tuning, and issue resolution capabilities.
- Ability to work effectively within matrixed business and technology organizations.

Preferred

- Experience with Microsoft Azure analytics technologies including: Azure Machine Learning Azure SQL Data Warehouse HDInsight HIVE Talend (ELT)
- Experience with Snowflake or other cloud-based data platforms.
- Experience comparing and evaluating analytics and data technologies to determine best-fit solutions.
- Experience leading proof-of-concept initiatives and analytics innovation projects.
- Familiarity with predictive analytics, machine learning, and advanced analytics frameworks.
- Experience supporting enterprise-scale analytics transformations.

Work Model & Travel

- Work Model: Hybrid, aligned with business and team requirements.
- Travel: Occasional domestic and international travel may be required to support business initiatives and stakeholder engagement.
- Collaboration Scope: Global, partnering with business leaders, data teams, infrastructure teams, vendors, and offshore delivery resources.

Our Commitment to You

- Opportunity to shape the future of analytics and data-driven decision-making at a global organization.
- Exposure to advanced analytics, cloud technologies, AI, and enterprise-scale data platforms.
- Collaboration with global business, technology, and data leaders.
- Professional development opportunities focused on analytics, leadership, and digital transformation.
- A culture that values innovation, continuous improvement, accountability, and collaboration.
- The ability to make a measurable impact by enabling better business decisions through modern analytics capabilities.
- Career growth opportunities within a global organization committed to technology excellence and transformation.

About Clarios:

Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).

To All Recruitment Agencies : Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Equal Employment Opportunity:
Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email [email protected].

A Note to Job Applicants : please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.