Company
Consumer Packaged Goods
Data&AnalyticsManager,Finance
Neural analysis suggests this role is
optimal for Manager candidates.
“Data & Analytics Manager, Finance. Skills: Data analytics, Financial analytics, Team leadership. Lead financial data agenda. Develop data models”
What You'll Achieve.
Drive business growth; Drive operational efficiency; Drive transformation
Industry & Context.
Data-driven insights
What They're Looking For.
Must Have
5+ years data analytics, 5+ years financial analytics, 5+ years data science, Experience managing analytics teams, Experience leading end-to-end delivery, Degree in Business, Degree in Finance, Degree in Engineering, Degree in Computer Science, English communication skills
Nice to Have
Spanish working knowledge, Background in CPG, Background in similar industries
What You'll Do.
Lead financial data agenda
Develop analytical frameworks
Oversee analytical frameworks
Optimize analytical frameworks
Translate datasets into insights
Provide strategic recommendations
Manage analytics roadmap
Prioritize initiatives
Partner with business teams
Partner with finance teams
Partner with technical teams
Ensure solution delivery
Lead finance professionals
Develop finance professionals
Foster high performance
Implement analytical approaches
Implement best practices
How You'll Work.
Team & Collaboration
Partner with business; Partner with finance; Partner with technical teams
Communication Scope
English communication
Process & Methodology
Roadmap planning
Full Job Description
## Accountabilities Lead the financial data and analytics agenda across Latin America, ensuring alignment with business strategy and corporate objectives. Develop, oversee, and optimize data models, dashboards, and analytical frameworks to support financial planning and decision-making. Translate large and complex datasets into actionable insights and strategic recommendations for senior leadership. Manage the analytics roadmap, prioritizing initiatives that drive business growth, operational efficiency, and transformation. Partner with business, finance, and technical teams to define requirements and ensure effective solution delivery. Lead and develop a team of analysts and finance professionals, fostering high performance and continuous capability building. Drive change and innovation by implementing new analytical approaches and best practices across the organization. Requirements: Strong experience in data analytics, financial analytics, or data science roles within complex, matrixed organizations. Proven ability to influence senior stakeholders using data-driven insights and strategic recommendations. Experience managing analytics teams and leading end-to-end delivery of data projects. Strong business acumen with exposure to finance operations and strategic planning processes. Advanced skills in data analysis, modeling, and visualization tools. Experience working with large datasets and translating them into business impact. Ability to operate in ambiguous, fast-paced, and multicultural environments. Strong communication skills in English (required) and working knowledge of Spanish is a plus. Background in Consumer Packaged Goods (CPG) or similar industries is an advantage. Degree in Business, Finance, Engineering, Computer Science, or related fields. Benefits: Competitive compensation package aligned with senior leadership roles Health and dental insurance coverage Flexible or hybrid work arrangements depending on location Meal or food allowance Life insuranc
Applying for this Data & Analytics Manager, Finance role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.