WHAT DOES AN INSIGHTS ANALYST DO?

Published: Sep 11, 2025 - The Insights Analyst provides critical analytical support to drive customer category growth by aligning category, channel, and shopper insights with retailer strategies. This role develops and maintains regular performance reporting using POS, inventory, and forecasting data while managing item file attribution and collaborating on custom insight requests. The analyst also works closely with sales, replenishment, product, engineering, and business development teams to deliver scalable insight solutions, support special projects, and define impactful customer use cases.

A Review of Professional Skills and Functions for Insights Analyst

1. Insights Analyst Duties

  • Business Growth: Drive growth in the business by empowering product teams to achieve their acquisition, conversion and retention objectives
  • Data Science: Uncover and deliver insight utilising data science and machine learning techniques, data mining, statistical analysis and visualisation
  • Insight Delivery: Identify and clearly present actionable recommendations to stakeholders and propose new ideas to achieve better outcomes
  • Stakeholder Relations: Build and nurture positive relationships with business stakeholders by understanding their problem-space
  • Opportunity Analysis: Identify areas of opportunity by taking a holistic view of customer and marketing data and challenging existing processes
  • Data Culture: Promote the output and capabilities of the analysis team across the business to help foster a company-wide data driven culture
  • Results Presentation: Present analysis and recommendations to both senior and tactical stakeholders and drive action to achieve results
  • Product Research: Support product discovery, research and experimentation
  • Data Collaboration: Capture requirements and collaborate across data engineers and product teams to evolve data sets and data pipelines
  • Data Sourcing: Identify new data sources or propose new ways to add value using existing data sources
  • Dashboard Development: Build dashboards and self-service query tools and train colleagues to use them
  • Data Products: Assist in the delivery of externally facing commercial data products

2. Insights Analyst Details

  • Finance Partnership: Partner with finance and sales teams to understand their data and reporting requirements
  • Data Visualisation: Use data visualisation effectively to tell a story and drive action by presenting information
  • KPI Reporting: Define and design KPI based dashboards or reports that summarize organizational health and highlight hot spots for executives to focus on
  • Hypothesis Testing: Continually test hypotheses through ad hoc analysis and model testing
  • Data Engineering: Work with data engineers and data architects to define back-end requirements for data products including aggregations, materialized views and tables for visualisation
  • Trend Analysis: Investigate data to discover correlations and trends and explain them
  • Analytics Portfolio: Collaborate with internal and external customers to develop an analytics portfolio consistent with the vision and goals of stakeholders
  • Data Gaps: Identify data gaps from the downstream and upstream source systems
  • Data Governance: Work with IT partners to improve data quality and governance with the goal of delivering value added data for analytics
  • Business Analytics: Collaborate with key stakeholders on how to best leverage analytics to inform better business decisions and optimize operations
  • Decision Support: Understand the decision-making process, workflows and business and information needs of analytic teams
  • Data Mining: Proactively mine data warehouse to identify trends and patterns and generate insights for business units and senior leadership
  • Unstructured Data: Develop frameworks and processes to analyze unstructured information collected through medical devices for use in the service lines
  • Process Improvement: Identify opportunities to improve processes and strategies with technology solutions
  • Knowledge Sharing: Work closely with product managers, architects and business units for knowledge sharing, mentoring and training
  • Metric Standardization: Drive standardization of key metrics across various business stakeholders to improve data governance
  • Process Development: Continually recommend, develop and implement improved processes to collect and analyze data and visualize and present insights

3. Insights Analyst Responsibilities

  • Campaign Analysis: Analyse data on campaigns to develop insights globally as well as across regions and sectors
  • Thought Leadership: Drive thought leadership on gamification methodology and best-practice delivery
  • Team Advisory: Advise local teams on key dynamics and deliverables important for campaign delivery and performance
  • Campaign Support: Support local teams in preparation for upcoming campaigns including conceptualising campaigns, preparing timelines, campaign content and assets and configuration of campaigns
  • Campaign Optimization: Optimise ongoing campaigns through insights, analysis and reporting, typically using Google Analytics and internal analytics
  • Incident Support: Support the helpdesk to resolve incidents on campaigns
  • Data Solutions: Define various problems, utilise data analytics and data mining to drive various data solutions within the pharmaceutical and consumer goods domains
  • Project Management: Provide project management, research framework design, data analytics and reporting, data validation, data storytelling and data visualisation insights

4. Insights Analyst Job Summary

  • Logistics Insights: Work with logistics managers to understand their business goals and provide actionable insights to support decision making
  • Data Sharing: Make data available to internal and external stakeholders of the team in a digestible form
  • Metrics Development: Support analysis, improvement and creation of metrics and dashboards for logistics and supply chain
  • Performance Monitoring: Monitor business performance, run ad-hoc analysis, and provide SVP with proactive recommendations to improve business performance
  • Product Analysis: Support product managers with analysis and actionable insights to develop the future logistics platform
  • Forecasting Support: Partner with teams to share insights and provide meaningful inputs for both forecasting and scenario modelling
  • Best Practices: Work with other business analysts to share best practices and promote consistency
  • Cross-Functional Collaboration: Build and maintain collaborative cross-functional relationships to ensure shared objectives are clear, communication is open and insights and recommendations provided are understood
  • Business Reporting: Generate and analyse critical monthly business reporting, and provide regular and ad-hoc reports

5. Insights Analyst Accountabilities

  • HR Reporting: Expand on the existing HR suite of reporting, with an initial focus on developing talent acquisition and recruitment dashboards
  • Ad-hoc Analysis: Conduct regular ad-hoc analysis to help stakeholders answer real time business questions
  • Requirements Gathering: Communicate with stakeholders to elicit and understand requirements, which in turn enables successful scoping of any analytics projects
  • Insight Presentation: Present actionable insights to stakeholders on the back of any analysis conducted
  • Report Maintenance: Maintain and continuously improve existing reports
  • Absence Reporting: Create and manage a robust suite of reporting focused on absence
  • Absence Analysis: Support the people team and managers in understanding what is driving absence levels regionally
  • Power BI: Maintain and improve Power BI reports, and support the head of business development and head of trade with data analytics requests

6. Sr. Insights Analyst Job Description

  • Category Insights: Provide critical insights and analytical support to drive the customer’s category and capture a disproportionate share of growth
  • Shopper Insights: Provide understanding of category, channel, and shopper insights to sales teams through customer and internal data and how that aligns with retailers’ strategy and business goals
  • Performance Reporting: Generate weekly, monthly, and quarterly performance reporting utilizing WM POS, inventory and forecast metrics
  • Results Tracking: Provide general performance reporting to track, measure, and communicate results
  • Data Analysis: Work within large complex data sets to drive deeper analysis and understanding of events and promotions
  • Data Management: Monitor and maintain itemfile and attribution management
  • Sales Support: Work day-to-day with the customer sales and replenishment team on special projects along with day-to-day requests for insights
  • Data Platform: Work directly with the product team, software engineers, and data scientists to build a scalable customer-facing data platform
  • Business Development: Support the business development team by helping define customer use cases, leading product demos, and scoping and pricing customer engagements

7. Global Insights Analyst Details and Accountabilities

  • Commercial Support: Act as a key contact point for all departments with commercial queries, about revenues, costs, manufacturing and royalty models
  • Profit Analysis: Provide product profit and loss (P and L) and contribution margin analysis, improvement recommendations, break-even analysis and risk identification
  • Trend Analysis: Produce commercial and marketing trend analysis and reports on a regular and ad hoc basis
  • Sales Review: Provide regular reviews and recommendations for improving product sales and revenue results against targets
  • Market Research: Support with analysis of market research topics, including new business opportunities, emerging markets, chart tracking and product analysis
  • Budget Tracking: Track and report on marketing budgets and spending
  • Vendor Relations: Assist with vendor and first-party platform holder relationships, reporting and business models
  • Decision Support: Work in tandem with other teams within the business, using insights to assist with decision-making

8. Insights Analyst Roles

  • Budget Management: Administer the budget and monthly forecast processes, including report creation, updates, distribution and in-system approvals
  • Forecasting Support: Set up and finalise forecasts
  • Data Integrity: Maintain data integrity by identifying and resolving discrepancies
  • Issue Resolution: Track and communicate any BI system or data-related issues and work for swift resolution
  • Report Maintenance: Update and maintain reporting suites
  • Data Sourcing: Source data from reporting systems for analysis
  • KPI Insights: Provide insights on key KPI metrics
  • Team Collaboration: Work closely with the regional technology and business teams
  • Process Streamlining: Streamline data processes and data pipelines to improve productivity and efficiency

9. Senior Insights Analyst Additional Details

  • Data Insights: Source, manipulate, and draw meaningful insights from disparate datasets
  • Business Growth: Identify opportunities to drive business growth
  • Business Understanding: Develop a deep understanding of the business, work with and influence key stakeholders
  • Problem Solving: Solve problems creatively to define and deliver innovative solutions to business problems
  • Data Education: Educate business stakeholders on how the creative application of data can solve business problems
  • Roadmap Support: Support the delivery of benefits articulated in a business function’s analytical roadmap
  • Analytics Development: Contribute to the design, development, analytical implementation and ongoing support of analytical products for a business function
  • Cross-Functional Collaboration: Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies

10. Insights Analyst Essential Functions

  • Customer Understanding: Develop a deep understanding of customer related product and operational flows, and customer engagement methods
  • Customer Value: Continuously evolve understanding of how to provide value to customers, and how to continue to improve those levers through the use of data-driven insights
  • Operational Insights: Work closely with operational teams to understand business requirements, and how to best leverage insights to improve operations
  • Data Partnership: Partner with data engineering and advanced analytics teams to understand the data environment to ensure insights are accurate and meaningful for end stakeholders
  • Customer Monitoring: Stay current on automated monitoring and metrics that come from production systems that may indicate customer health
  • Performance Management: Own daily, weekly, and monthly system performance management, holding internal teams accountable within their performance expectations
  • Report Writing: Write detailed reports and summarize findings for stakeholders on the health of the customer base
  • Insights Collaboration: Collaborate closely with the insights analysts and insights program managers to provide analysis, reporting and tool-building capabilities that inform key stakeholders

11. Senior Insights Analyst General Responsibilities

  • Analytics Partnership: Act as an analytics partner for various business units and teams to formulate and manage business questions, hypotheses, and specifications to deliver meaningful insights
  • Business Solutions: Proactively identify solutions for improving the effectiveness and profitability of business activities
  • Data Analysis: Develop broad subject matter expertise in data and perform in-depth analysis, including consolidating data from various data sources, investigating and interpreting data, defining and executing analysis, synthesizing and presenting results
  • KPI Development: Support different departments to understand and establish metrics and KPIs that align with strategic business objectives
  • Dashboard Development: Develop reports and dashboards to monitor trends and business performance
  • Data Integrity: Contribute to the structure of databases and drafting of queries, proactively identify and communicate data integrity issues
  • Mentorship: Coach and mentor more junior analysts within the team and other business units on technical solutions, collaborative problem solving, and presentations
  • Scientific Data: Analyze scientific data repository and design, build and maintain dashboards to uncover relevant data trends
  • Insights Projects: Support large-scale, transformative insights projects

12. Insights Analyst Key Accountabilities

  • Report Development: Develop and implement user-friendly reports that support performance analysis and decision making
  • Commercial Modelling: Create commercial modelling and cost or benefit analysis of proposed actions and outcomes based on a consistent value model
  • Process Automation: Design and deliver robust automated processes that ingest third-party data for commercial or operational use
  • Data Access: Make data available to stakeholders who need it, and use these tasks as an opportunity to proactively identify use cases for self-serve data access
  • Self-Serve Data: Devise processes and systems that allow for better self-serve data access for stakeholders, leading to higher data management maturity and more opportunities for automation and innovation
  • Operational Efficiency: Work with the data science and finance teams to improve operational efficiency and quality, and features that delight customers
  • Data Ethics: Promote ethical best practice in the way all data is used and processed, always ensuring that compliance and security are placed first
  • Research Leadership: Lead and coordinate complex research projects

13. Insights Analyst Responsibilities and Key Tasks

  • Business Analysis: Be responsible for investigating business situations, identifying options for improvement and defining requirements to deliver business improvements
  • Process Improvement: Understand the way the business works today and identify opportunities for improvement through analysis, insights and development of commercial and operational solutions
  • Decision Support: Provide general decision support analysis by the management team
  • Reporting Insights: Develop daily, weekly and monthly reporting and insights across operational, team and customer outcomes
  • Data Visualization: Build and visualise essential insights and storyboarding to engage an audience of varied seniority
  • Operational Engagement: Move quickly to engage others in operational decisions
  • Accurate Analysis: Ensure that analysis is accurate, well-documented and clearly presented
  • Research Support: Provide research support to specific initiatives
  • Global Research: Collect and analyse global research data, present outcomes using infographics

14. Insights Analyst Duties and Roles

  • Strategic Insights: Collaborate closely with senior analysts on the team to derive strategic and actionable insights from various sources to garner audience and marketplace intelligence on clients across all departments (film, TV, music, sports, etc.)
  • Data Storytelling: Participate in translating findings into digestible and visually intuitive outputs through compelling analysis and storytelling to agents, executives, and client teams
  • Vendor Management: Assist with data vendor relationships to respond to the changing information needs of the business
  • Stakeholder Liaison: Act as a liaison between data teams and business stakeholders to gather and organize requirements for the design of optimal data solutions and internal platforms
  • Workstream Planning: Coordinate with the data group, participate in workstream planning processes, including gathering requirements, testing, delivery, and training of new analytics features
  • Project Coordination: Balance numerous projects across different departments and sustain open communication with the team and stakeholders to ensure deadlines are met
  • Ad-hoc Research: Support or own ad-hoc research and analytics projects
  • Forecast Modeling: Perform demand forecasting, inventory management, labor management, and cost management modeling and reporting
  • AI Modeling: Collaborate with the internal and worldwide data science teams on the design, development and maintenance of statistical and artificial intelligence or machine learning models

15. Insights Analyst Roles and Responsibilities

  • Root Cause: Perform root cause analysis, data quality analysis, measurements and feasibility studies
  • Report Support: Support direct report with all kinds of analysis and regular report preparation
  • Subject Expertise: Be the subject matter expert for analysing core business and project data and providing insights to senior stakeholders
  • Data Visualization: Assist in presentation and business reports and data visualization on a regular basis to management or key business decision makers
  • Trend Analysis: Deliver trend analysis using available sources (internal data, vendor's data, government statistics) to inform the market environment and competitive landscape
  • Performance Tracking: Prepare a company performance tracker on a regular basis, perform quality checks on the data, prepare qualitative analysis of the market with a summary of key market developments, and support ad hoc requests
  • IT Liaison: Liaise with the IT team to find feasible solutions and the root cause of reporting issues
  • Training Support: Develop outputs or guidelines and deliver training that enable analysts outside of the team to adapt and use the work
  • Forecast Estimates: Analyse and provide accurate and detailed forward estimates by way of the SOP process for volume, promotional and merchandising spend by brand, channel, and account

16. Insights Analyst Details

  • Customer Measurement: Contribute to the customer experience measurement for designated banners
  • Survey Improvement: Continuously improve the survey and the analysis and management tools according to the banners' issues and needs
  • Report Analysis: Support the achievement of the banners' objectives by providing quality reports and analysis to stakeholders, identifying opportunities to improve analytical capabilities, developing reports, analyzing data, and disseminating and presenting results
  • Project Support: Participate and support the team in all other projects related to the customer experience survey
  • Consumer Insights: Support the manager of consumer insights and planning and work closely with colleagues in the consumer intelligence team, of which the research group is part of
  • Data Interpretation: Analyse and interpret qualitative and quantitative information
  • Interpersonal Skills: Demonstrate professional interpersonal and networking skills to work with people at all levels of solidarity within an organisation
  • Report Preparation: Prepare and present reports using multiple data sources to inform strategic and operational decision-making
  • Business Proposals: Write and deliver succinct business proposals, reports and plans
  • Cultural Awareness: Demonstrate confidence working in a bicultural and multicultural context with a commitment to enhancing cultural awareness and competence
  • Consumer Analysis: Analyse data across websites and social platforms, market research and internal business data to understand consumer insights and consumption behaviour
  • Trend Analysis: Perform detailed analysis on trends and conduct a base-level analysis on extracted data
  • Campaign Analysis: Discover the efficacy of brand campaigns as well as analyse crises or always-on campaigns
  • Presentation Design: Create impactful and detailed presentation decks to share relevant findings and recommendations
  • Query Building: Build effective queries to derive relevant mentions using key operators

17. Insights Analyst Job Summary

  • Category Management: Drive the category relationship within the supermarket estate and growth channels, both directly and through supporting the senior category manager
  • Business Insights: Work closely with the different functions within the business to proactively highlight business issues and opportunities
  • Category Growth: Deliver actionable insight for both businesses and growth channels through pulling and analysing data from a variety of sources and turning this into recommendations on range, merchandising and promotions to drive category growth
  • Range Review: Own the range review process for key touch points, including analysis, customer-facing presentations and internal communications
  • NPD Propositions: Work with the relevant brand and commercial teams to deliver compelling NPD propositions that are based on category insight and align to the retailer-specific category plans
  • Risk Insights: Provide management with clear insights and recommendations into drivers of credit risk, market trends, and opportunities that will keep losses within acceptable risk tolerances
  • Issue Analysis: Perform analysis of issues and provide recommendations to team members
  • Requirement Gathering: Interact with internal users to establish and clarify requirements in order to develop analytics needs
  • Predictive Analytics: Use knowledge of predictive analytics, statistics and modeling techniques to develop and improve sophistication of predictions in order to drive operational insights and process improvements
  • Dashboard Reporting: Design, document and implement reporting dashboards to manage operational performance
  • Promotional Analysis: Perform analysis on promotional activity and general analysis on distribution across titles
  • Sales Reporting: Report on weekly and monthly sales performance of magazines to internal stakeholders
  • Data Distribution: Distribute data and information across titles and platforms
  • Team Liaison: Liaise regularly with internal teams including editorial, finance, marketing and retail sales
  • Partner Coordination: Act as key contact between distribution partners and production teams

18. Insights Analyst Overview

  • Trend Analysis: Identify trends by analyzing weekly flyer performance, pricing, and promotional impact, share reports with the promotions and merchandising teams on product, pricing, promotion, placement, and key insights
  • Postmortem Reporting: Prepare weekly and seasonal postmortem reports, capture key trends, create reports in digestible formats for a variety of audience types and recommend next steps based on learnings
  • Space Allocation: Make use of various tools available to help the promotions team with seasonal space allocations based on business priorities and goals against promotional calendar deadlines
  • Dashboard Development: Help the insights manager develop dashboards, interactive reports, charts, and graphs and be responsible for regular maintenance and updates based on industry best practices
  • Campaign Testing: Partner with external agencies to create test and learn campaigns, access third-party campaign performance data through their dashboards and leverage learnings for improving performance
  • Data Collaboration: Collaborate with other analysts across the business to ensure all data sources are connected and there is a seamless and accurate flow of data into the marketing dashboards
  • Market Trends: Identify key market trends and technology growth areas for the region and segments via benchmarking, trend identification, industry profiling, market sizing, growth projections, and analyst reports
  • Regional Reporting: Develop and produce trend analyses and reports for regional leadership and partner organizations to aid in both strategic and tactical resource investment, allocation, and alignment across the organization
  • Insights Cadence: Facilitate and coordinate a predictable cadence of regional market insights and trends in alignment with sales operations cadence for the region
  • Program Execution: Partner with the chief of staff to execute strategic market insight programs and track key deliverables to completion across the leadership team
  • Community Alignment: Interface with the market insights community across the sales and marketing group and additional internal stakeholders to facilitate alignment and collaboration with other organizations and their operational teams

19. Insights Analyst Details and Accountabilities

  • Customer Analysis: Run analyses to develop an understanding of customer behavior and trends
  • Business Support: Answer key questions to support business decisions across the organization, including marketing, merchandising, CRM, and digital or store initiatives
  • Customer Insights: Work closely with business partners to deliver actionable customer insights to drive omni-channel customer retention, reactivation, and acquisition strategies
  • Data Integration: Leverage SQL and Power BI to combine multiple data sources, including historical transactions, customer attributes, and outputs from predictive models
  • Segmentation Development: Participate in the development and implementation of customer segmentations, including RFM, email engagement, and product affinity
  • CRM Strategy: Collaborate with the CRM team on targeting approach and CRM strategies to strengthen relationships with customers
  • Experience Insights: Develop insights to improve customer experience, fan growth, engagement and retention
  • Insight Processes: Establish processes to gather and analyse customer insights both qualitative and quantitative
  • Dashboard Reporting: Create and maintain regular reports and dashboards that contribute to operational improvements for teams including digital product, marketing and consumer
  • Fan Insights: Respond to and collaborate with fan experience teams by providing insights relevant to existing and future goals
  • Data Capture: Contribute to data capturing operations, both ad hoc and long-term, particularly within the business’s digital products
  • Analytics Best Practice: Assist in embedding best practice analytics in fan experience teams, including hypothesis testing for new product features

20. Insights Analyst Key Accountabilities

  • Client Projects: Work on the scoping and delivery of bespoke client projects that answer their needs
  • Brief Interpretation: Accurately interpret clients’ briefs and produce a wide range of deliverables that are on top of industry trends and make actionable recommendations
  • Bespoke Research: Work with the custom team on integrated proposals and produce reports on bespoke research that’s commissioned
  • Business Growth: Work closely with media and tech new business and account teams on pitch or account growth opportunities
  • Client Support: Respond to client queries promptly and thoroughly, and supply insights, data and guidance
  • SaaS Knowledge: Learn how sales and GTM work within the broader SaaS ecosystem
  • GTM Rotation: Rotate on projects across the various GTM teams to understand how each works in coordination of a singular objective
  • Business Health: Provide analysis on the health of various components of the business
  • Dashboard Creation: Build dashboards and presentations for the sales ops team to approach their business stakeholders
  • Management Insights: Create recommendations and insights for senior management