Data Analyst - Business Technology Delivery
Skills
About the role
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.
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.
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