What You’ll Do

As a Data Analyst - Business Technology Delivery, your mission is to own, shape, and scale analytics and AI products for LATAM region, turning business problems into data-driven products that deliver measurable value.

You will act as a regional analytics product manager, partnering with business leaders, regional IT BRMs, and global data and AI teams to define roadmaps, prioritize investments, and ensure adoption at scale.

This role combines hands-on execution with product ownership, requiring accountability not just for delivery, but for regional value realization, reuse, and lifecycle management of analytics products.

This role reports to the IT Sr. BRM Central Functions LATAM.

What Success Looks Like in This Role

Within your first 12–18 months, you will:

• Have some analytics or AI use cases live in production
• Be recognized by business partners as “the person who helps us get value from data”
• Consistently reuse and scale solutions via the Global Data Hub & Spoke model
• Clearly demonstrate business impact (cost, productivity, service, quality, or decision speed)
• Influence regional leadership decisions through data products you own

Core Responsibilities (Execution‑Focused)

1. Business Problem Discovery & Prioritization

You will:

• Meet regularly with business stakeholders and IT BRMs
• Understand key processes, KPIs, and pain points
• Convert vague requests (“we need a dashboard”) into clear problem statements
• Help prioritize use cases based on value and feasibility

Deliverables you own:

• Produce use‑case definitions
• Problem statements and success metrics
• Prioritized analytics demand backlog

2. Use Case Translation & Solution Shaping

You will:

• Translate business needs into analytics and AI requirements
• Define what data is needed, from where, and for what purpose
• Align solutions to existing global platforms and data products
• Avoid “one‑off” or local-only solutions

Deliverables you own:

• Use‑case briefs (problem, data, solution, value)
• High‑level solution outlines aligned to global standards

3. Delivery Coordination & Execution

You will:

• Work with global data teams (data engineers, analytics engineers, data scientists)
• Support planning, execution, testing, and deployment
• Act as the business-facing owner during delivery
• Ensure solutions are understandable and usable by end users

You are not coding everything, but you must understand:

• Power BI, SQL, Python basics
• How data flows through Snowflake and analytics platforms

Deliverables you own:

• Delivered dashboards, models, or analytics products
• Business sign‑off and user readiness

4. Value Tracking & Adoption

You will:

• Define how success will be measured before delivery
• Track adoption and usage after go‑live
• Quantify value (time saved, cost avoided, better decisions)
• Communicate results in simple, business language

Deliverables you own:

• Value cases and benefit tracking
• Postimplementation impact summaries

5. Governance, Standards & Reuse

You will:

• Ensure solutions follow enterprise standards for:
  • Data quality
  • Security and privacy
  • Responsible AI
• Promote reuse of existing data products and models
• Help reduce duplication across regions

Deliverables you own:

• Compliance with governance standards
• Reusable analytics assets

6. Regional Analytics Product Ownership & Roadmap

You will:

• Own a portfolio of analytics and AI products for LATAM region
• Define and maintain a regional analytics roadmap aligned to business priorities and global strategy
• Balance new demand vs. technical debt vs. scaling existing products
• Make trade-off decisions on scope, timing, and investment
• Act as the single accountable owner for product success in the region

Deliverables you own:

• Regional analytics product roadmap (quarterly / annual)
• Product charters with clear value hypotheses
• Prioritized backlog aligned to regional business outcomes
• Sunset, scale, or enhancement decisions for existing products

How You Will Spend Your Time (Typical Split)

• 30% working directly with business stakeholders
• 25% shaping and translating use cases
• 25% coordinating delivery with data teams
• 10% tracking value and adoption
• 10% learning platforms, tools, and business processes

What We Expect You to Learn Quickly

• How Clarios business functions make decisions
• How the Global Data Hub & Spoke model works
• How analytics products move from idea → delivery → value
• How to communicate confidently with both business and technical teams

Qualifications (Execution‑Aligned)

Required

• Bachelor’s degree in IT, Data, Engineering, Business, or related field
• 2+ years in data, analytics, BI, AI, or digital roles
• Hands‑on exposure to tools like Power BI, SQL, Python, Snowflake
• Ability to explain data insights to non‑technical audiences
• Strong ownership mindset and willingness to drive things to completion

Preferred

• Experience in a global or federated environment
• Familiarity with Agile, product, or data‑product delivery models
• Exposure to Manufacturing, Supply Chain, Finance, or Commercial domains

Why This Role Is a Strong Growth Opportunity

• High visibility with business and IT leadership
• Exposure to enterprise‑scale data and AI platforms
• Clear path toward roles such as:
  • Senior Analytics Business Partner
  • Data Product Manager
  • Analytics or AI Lead

#LI-LG1

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 Special.Accommodations@Clarios.com.

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