Sr Analyst, Strategic Planning & Insights

🏒 The Kraft Heinz Company · all The Kraft Heinz Company jobs
πŸ“ United States
πŸ’° USD 89,800 - 112,200 / annual
πŸ“… Posted 2026-08-17 Β· via Himalayas
🏷 Data-Analyst,Business-Intelligence-Analyst,Sales-Analytics,Strategic-Planning,Commercial-Analytics,Senior-Strategy-Analyst,Strategic-Planning-Analyst,Senior-Customer-Insights-Analyst,Senior-Financial-Planning-And-Analysis-Analyst,Strategy-and-Operations-Analyst,Senior-Strategic-Planning-Partner
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Job Description Job Purpose The Sr Analyst, Strategic Planning & Insights will own,analyzeand integratelarge internal and external datasets fromdifferent sourcestosupportdata driven decision making across commercialstrategyand salesexecution.The Sr Analyst will own responsibility over modeling sophisticated retail problems, discoveringactionableinsights andsurfacing sales enablement opportunitiesthrough the use ofstatistical, algorithmic, mining and visualization techniques.The candidate should have extended business knowledge as well as technical abilities. The Sr. Analyst should be able to translate business critical metrics into data requirements then either develop or partner with Business Intelligence to generatescalablefinal data sets andreportingoutputs.This role partners closely with business leadership, commercial teams, and data engineering groups to transform and communicate complex data intoimpactfulbusiness recommendationsand support automation and process optimization. EssentialFunctions &Responsibilities - Advance data analysis skills, programming, & data engineering - Lead sales analytics projects with key partners from theCommercial Analytics Platform (CAP), Business Units (BU)and Field Sales to provide tools and insights to all leadership teams - Integration of information across groups and projects and not siloed to one team or one project - Work proactively with brand and cross functional teams to understand business questions/objectives,identifythe information currently available, clearly define thegapsand articulate a proposedmethodologyand plan to deliver on these requirements - Distill modelling and analysis findings into key concrete insights and clearly communicate resultsthroughclear andeffective storytelling - Do exploratory data analysis and navigate largedatasetto come out with broad conclusions - Use algorithms and programming to efficiently go through large datasets and apply treatments,filtersand conditions to the data - Create meaningful data visualizations that communicate findings and relate them back to insights that generate business impact - Partner with IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions and to build data validation frameworks ensuring the data coming to business is reliable andaccurate - Validate findings using experimental and iterative approach - Serve as a liaison between technical and business teamstodrivebusiness,helping to translatebusiness needs intoscalable reporting and analytical toolsand helping to simplify and distillbackclear findings from complex data sets Key Projects - Support the design, development,automation, and adoptionof data pipelines to support routine Sales Execution reports and analytical workstreams - Build process improvement tools and algorithms that will ensure efficiencies through the sales organization saving data consolidation and data manipulation time across the sales teams - Build front-end management tools and reports that will enable business to breakdown results and perform various analysis - Perform analysis on BU and Sales priorities and sellingobjectivesto ensure we know how to close the gaponbusiness opportunities - Maintains knowledge of products, pricing, services, market dynamics to perform strong analysis with insightful findings to the business teams - Maintains complete knowledge of company policies, programs and procedures and ensures team members adhere to them when performing duties - Support ad-hoc data requests from BU or Sales teams - Analyze and visualize data and present business insights to business partners - Train end users to appropriately use different data sets Expected Experience& Required Skills - ​​Bachelor’s degreerequired- math, finance, engineering, statistics, business or related discipline is required - ​2+ years of experience working in Business Intelligence or Data analytics within a large-s

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