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 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 general 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

- 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 integral 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

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 *.

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.

📌 Data Analyst - Business Technology Delivery (México)
🏢 Clarios
📍 México