What You'll DoAs 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 RoleWithin your first ***** months, you will:Have some analytics or AI use cases live in productionBe 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 modelClearly demonstrate business impact (cost, productivity, service, quality, or decision speed)Influence regional leadership decisions through data products you ownCore Responsibilities (Execution‐Focused)1.
Business Problem Discovery & PrioritizationYou will:Meet regularly with business stakeholders and IT BRMsUnderstand key processes, KPIs, and pain pointsConvert vague requests ("we need a dashboard") into clear problem statementsHelp prioritize use cases based on value and feasibilityDeliverables you own:Produce use‐case definitionsProblem statements and success metricsPrioritized analytics demand backlog2.
Use Case Translation & Solution ShapingYou will:Translate business needs into analytics and AI requirementsDefine what data is needed, from where, and for what purposeAlign solutions to existing global platforms and data productsAvoid "one‐off" or local-only solutionsDeliverables you own:Use‐case briefs (problem, data, solution, value)High‐level solution outlines aligned to global standards3.
Delivery Coordination & ExecutionYou will:Work with global data teams (data engineers, analytics engineers, data scientists)Support planning, execution, testing, and deploymentAct as the business-facing owner during deliveryEnsure solutions are understandable and usable by end usersYou are not coding everything, but you must understand:Power BI, SQL, Python basicsHow data flows through Snowflake and analytics platformsDeliverables you own:Delivered dashboards, models,



or analytics productsBusiness sign‐off and user readiness4.
Value Tracking & AdoptionYou will:Define how success will be measured before deliveryTrack adoption and usage after go‐liveQuantify value (time saved, cost avoided, better decisions)Communicate results in simple, business languageDeliverables you own:Value cases and benefit trackingPostimplementation impact summaries5.
Governance, Standards & ReuseYou will:Ensure solutions follow enterprise standards for:Data qualitySecurity and privacyResponsible AIPromote reuse of existing data products and modelsHelp reduce duplication across regionsDeliverables you own:Compliance with governance standardsReusable analytics assets6.
Regional Analytics Product Ownership & RoadmapYou will:Own a portfolio of analytics and AI products for LATAM regionDefine and maintain a regional analytics roadmap aligned to business priorities and global strategyBalance new demand vs. technical debt vs. scaling existing productsMake trade-off decisions on scope, timing, and investmentAct as the single accountable owner for product success in the regionDeliverables you own:Regional analytics product roadmap (quarterly / annual)Product charters with clear value hypothesesPrioritized backlog aligned to regional business outcomesSunset, scale, or enhancement decisions for existing productsHow You Will Spend Your Time (Typical Split)30% working directly with business stakeholders25% shaping and translating use cases25% coordinating delivery with data teams10% tracking value and adoption10% learning platforms, tools, and business processesWhat We Expect You to Learn QuicklyHow Clarios business functions make decisionsHow the Global Data Hub & Spoke model worksHow analytics products move from idea → delivery → valueHow to communicate confidently with both business and technical teamsQualifications (Execution‐Aligned)RequiredBachelor's degree in IT, Data, Engineering, Business, or related field2+ years in data, analytics, BI, AI, or digital rolesHands‐on exposure to tools like Power BI, SQL, Python,



SnowflakeAbility to explain data insights to non‐technical audiencesStrong ownership mindset and willingness to drive things to completionPreferredExperience in a integral or federated environmentFamiliarity with Agile, product, or data‐product delivery modelsExposure to Manufacturing, Supply Chain, Finance, or Commercial domainsWhy This Role Is a Strong Growth OpportunityHigh visibility with business and IT leadershipExposure to enterprise‐scale data and AI platformsClear path toward roles such as:Senior Analytics Business PartnerData Product ManagerAnalytics or AI Lead#LI-LG1About 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 1– 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 (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.
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📌 Data Analyst - Business Technology Delivery (San Pedro Garza García)
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