Data Analyst - Business Technology Delivery

Responsibilities

• 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)
• 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
• 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
• 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
• 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
• 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 Stro

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