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Sr Analyst, Strategic Planning & Insights

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: The Kraft Heinz Company
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
  • Business
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 90000 - 112000 USD Yearly USD 90000.00 112000.00 YEAR
Job Description & How to Apply Below

Job Description Job Purpose

The Sr Analyst,
** Strategic Planning & Insights
** will own,analyze and integratelarge internal and external datasets from different sourcestosupportdata driven decision making across commercialstrategyand sales execution.

The Sr Analyst will own responsibility over modeling sophisticated retail problems, discoveringactionableinsights and surfacing sales enablement opportunities through the use of statistical, 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 recommendations and support automation and process optimization.

Essential Functions & Responsibilities
  • Advance data analysis skills, programming, & data engineering
  • Lead sales analytics projects with key partners from the Commercial 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,identify the 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 and effective 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,filter sand 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 and accurate
  • Validate findings using experimental and iterative approach
  • Serve as a liaison between technical and business teamstodrivebusiness,helping to translate business needs intoscalable reporting and analytical toolsand helping to simplify and distillbackclear findings from complex data sets
Key Projects
  • Support the design, development,automation, and adoption of data pipelines to support routine Sales Execution reports and analytical work streams
  • 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 degree required- math, finance, engineering, statistics, business or related discipline is required
  • 2+ years of experience working in Business Intelligence or Data analytics within a large-scale company or fast-paced environment
  • Advanced in Microsoft Excel
  • Proficiency inPowerBI
  • Experienced with Snowflake an dreading/writing SQL queries
  • Skilledin Power Point
  • Experience in manipulating or analyzing syndicated data, IRI/Circanaor Nielsen preferred
  • Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases
  • Experience working with large structured and unstructured data sets
  • Skilled at problem solving and idea leadership
  • Strong drive for achieving results
  • Ability to work autonomously with minimal supervision
  • Experience in…
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