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Data Analyst optimizing IoT fleet performance and enhancing device management at Gridware. Collaborating cross - functionally to forecast performance and guide operational decisions.
About the role
- Lead development of a solution to automate data pipelines, reporting and insights to standardize business performance across the US commercial organization
- Shape and prioritize product features; define requirements and perform analysis on large datasets
- Act as player & coach combining people leadership, strategic partnership, and hands-on data activities
- Act as product owner for North America Trade Promotion Management (TPM) reporting: backlog prioritization, requirements definition, roadmap, stakeholder communication, support collaboration and continuous improvement
- Work with large amounts of data, perform analytical activities, and deliver analysis outputs according to customer needs and standards
- Extract data from SQL databases and produce data visualizations and reporting dashboards using Tableau/Power BI
- Define requirements for analysis, identify trends and patterns, and help the business react to changing conditions
- Lead the team to perform root-cause analysis and continuous improvement
Requirements
- Fluent English for meetings with global teams
- Experience in Data Analytics required
- Leader mindset – Leading technical teams through clear decision-making, accountability, and a hands-on approach
- Experience in Commercial Business domain, ideally in CPG or FMCG
- Experience with industry-specific external data sources (POS Sellout Data, Nielsen Syndicated Data)
- Experience in promotion and trade planning (Trade Promotion Management (TPM) data is a big plus)
- Experience with Master Data challenges between external and internal data sources
- Relevant experience throughout entire SDLC – from ideation to hypercare
- Experience working with Agile using tools like Jira or ADO is required
- Power BI and Tableau experience required
- SQL skills (pull data out of SQL databases)
- GCP (Google Cloud Platform) experience strongly preferred
- Knowledge of KPIs and scorecards required
- Excellent communication and collaboration skills; explain complex data concepts to non-technical individuals
- Prior work experience with AI solutions
- Experience with data governance, privacy regulations, and best practices is a plus
- Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field; Postgraduate degree in Data & Analytics is a plus
Benefits
- Some administrative vacancies eligible for hybrid model allowing remote work on certain days of the week
- Mondelez International attentive to the wellbeing of our people, seeking to provide the best experiences
- Diversity, equity and inclusion initiatives (Diversity Committee)
- Opportunity to work in one of the company's technology centers (R&D/technology)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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