Data & Analytics R&D Product Analyst
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Job Description
- Work in close partnership with the business leadership team to execute the analytics agenda
- Identify and incubate best-in-class external partners to drive delivery on strategic projects
- Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
- Using data analysis to make recommendations to senior leaders
- Technical experience in roles in best-in-class analytics practices
- Experience deploying new analytical approaches in a complex and highly matrixed organization
- Savvy in usage of the analytics techniques to create business impacts
- Understands the business process area, business needs and challenges within existing solutions.
- Create user-oriented data and analytics requirements and specifications and as required, the testing of products designed to meet those requirements
- Champions the use of Agile practices throughout a solution lifecycle (from proof of concept to pilot) as well as project management practices to scale solutions
- Own the relationship with the external partners. Enabling vendors to interpret & translate requirements during design, delivering the product solutions ensuring that solutions comply to Mondelēz standards and ensuring successful transition of solution for business-as-usual support
- Bachelor’s degree: IT or related field. Certification in data analysis or related fields (e.g., Certified Analytics Professional) is a plus
- 7+ years relevant experience ideally in CPG Industry
- Excellent communication skills to convey complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
- Strong Stakeholder management and ability to influence positively in decision making
- Business acumen / Team Leadership skills (Inclusion)
- Proven experience applying business understanding and acumen to deliver digital capabilities or solutions
- Drive for Results/ Problem Solving
- Conceptual and analytic skills
- Experience in Agile techniques & frameworks
- Demonstrated expertise in both Google Cloud Platform (GCP) and Microsoft Azure
- Experience & Knowledge of big data solutions like Google BigQuery, Azure Databricks
- Proficiency in data analysis tools and programming languages such as Python, or SQL
- Proficiency in data visualization tools i.e., Tableau, Power BI to analyze data, create visualizations, and generate actionable insights
- Stay up to date with the latest developments and services in both GCP and Azure related to data and analytics
- Familiarity with version control systems (e.g., Git) and DevOps practices in the context of cloud-based data projects
- The Data & Analytics R&D Product Analysts is a member of the Mondelez Digital Services (MDS) D&A team supporting R&D to deliver business value.
- Data Collection and Analysis:
- Collect, clean, and analyze product-related data from various sources, such as research studies, consumer feedback, market trends, and internal databases.
- Identify Data availability & challenge. Determine approach to data ingestion, transformation, and modeling for analytical products.
- Interpret data analysis results and present actionable insights to stakeholders
- Cross-functional Collaboration:
- Collaborate with R&D, Marketing, Sales, and other teams to gather requirements and support product development initiatives with data-driven insights.
- Data Management and Visualization:
- Develop and maintain data repositories, databases, and dashboards to store, organize, and present product-related data.
- Create visually appealing reports, charts, and presentations to effectively communicate insights to stakeholders.
- Data Governance and Quality Assurance:
- Ensure data integrity, accuracy, and consistency by implementing data governance practices and performing quality assurance checks on data sets.
- Collaborate with IT and data teams to identify and resolve data-related issues, streamline data processes, and enhance data accessibility for analytical purposes
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Skills
AgileAnalyticsBusiness AnalyticsDashboardsData AnalysisData GovernanceData ScienceData VisualizationFinanceGoogle BigqueryInnovationPower BiProduct DevelopmentProject ManagementPythonQualityQuality AssuranceResearchStakeholder ManagementTableauTransformationVisualizationIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
14 Nov 23, 04:23 AM IST
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