22 Insight Generation Jobs

Overview PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomeswithout managing the underlying AI platforms. Responsibilities AI Transformation Strategy & Road mapping Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases. Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda. Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap. Solution Design & Cross-Functional Orchestration Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo. Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing & R&D. Architect and design future AI solutions leveraging agentic frameworks. Collaborate with engineering teams to provide the necessary features for building. Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture. Leadership, Influence, and Governance Act as the face of Generative AI solutioning for senior executives and transformation leaders. Drive alignment across global and regional teams for solution design, prioritization, and scale-up. Provide technical leadership and mentorship to the AI engineering team. Stay up to date with the latest advancements in AI and related technologies. Drive innovation and continuous improvement in AI platform development. Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity. Qualifications 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs. Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting). Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal. Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation. Proven success in change management, stakeholder engagement, and global rollout of strategic programs. Excellent communication and influences.

Job Description: Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the worlds most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Core Skills for Technical Delivery Manager : AI Project/Portfolio Management : Cross-product, Vendor & Budget Management Leadership & Communication : Effective Team and Stakeholder Engagement Insights Generation : Expertise in Power BI for Data-Driven Decisions AI/ML Lifecycle : Managing End-to-End Implementation Client & Stakeholder Management : Building Strong Relationships and Ensuring Satisfaction Operational Efficiencies : Driving Process Improvements and Cost Optimization Job Responsibilities: Collaborate with Product Engineers and Data science teams to build and deliver AI products Connect with the internal and external stakeholders to understand use cases and advise on solutions Ability to translate complex technical concepts to non-technical stakeholders Training the team on AI specific configuration, AI model development and delivery process and data analysis An ideal candidate should have proficient knowledge of handling office tools like - Lucid Charts, Confluence, JIRA, MS office suite to build an organized professional-level documentation. Ability to understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team Owning escalations, priority incidents, collaborating to meet resolutions, and establishing effective synergy amongst the stakeholders and gathering their reviews Developing system and procedures to ensure quality of delivery Understanding the scope of deliveries and creating collaborative delivery plans. Being accountable for service delivery performance, meeting customer expectations, and aid in driving future demand. Assisting in people management, including staff recruitment, performance assessment, training, and mentoring. Preferred Qualification: Full-time masters degree in either of the following specializations: Management/Engineering/Communication Overall 5-8 years of experience in ML project management or similar leadership role. Understanding and knowledge of Agile and Scrum process, terminologies and artefacts Prior experience and background in service delivery, data management, team management, client communication, vendor management and documentation. Working knowledge of ML lifecycle and workflows, from initial client consultation to final deployment. Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client Organizational and Interpersonal skills to keep project goals clear, have timely catch-up with internal team/clients, and ensure deliveries are checked and tested in prior Ability to collaborate - working with the Product manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery Developing a deep understanding of the projects to gain insights into the scope of service delivery Taking accountability for service delivery performance, meeting customer expectations, and driving future demand Analyzing third-party as well as internal processes, and creating strategies for service delivery optimization

PepsiCo -Sales Operations

Role: Data Analytics Min 5+ Years experience in Data Analytics Hands on experience in SQL, Python, Marketing Analytics Domain, Understanding on Story Telling, Insights Generation Shift: General Mode: Hybrid Location Bengaluru/ Mumbai Immediate Joiners Preferred Call Anumeha @ 6376649769 Send resume to anumeha@manningconsulting.in

Role & responsibilities Requirements - * Data Analysis: Collect, analyze, and interpret financial data to identify trends, assess risks, and make predictions. * Financial Modeling: Develop and use financial models to forecast future performance and assess the impact of different scenarios (integrated 3-way models including P&L, Cashflow, and Balance Sheet). * Business Strategy: Contribute to the development of business strategies by providing insights into financial performance and market conditions. * Reporting and Communication: Prepare reports, presentations, and other materials to communicate findings and recommendations to clients or stakeholders. Job Description - * Plan, manage, implement proper Financial Discipline in the organization. * Own financial models, cash flow forecasts, and revenue projections * Track key metrics, P&L, and unit economics across business lines * Monitor spend vs. plan and provide actionable insights * Analyze campaign ROI, product margins, and pricing structures * Build reports for investors, internal stakeholders, and partners * Support scenario planning and growth strategy with data * Manage cash flow effectively to ensure optimal utilization of funds * Explore and implement strategies to improve working capital efficiency * Mathematical Skills: A strong foundation in mathematics and statistics is necessary for working with financial data and models. * Communication Skills: Excellent communication skills are needed to effectively communicate findings and recommendations to internal team/stakeholders. * Industry Knowledge: Knowledge of financial markets, economic trends, and business operations is important for making informed decisions. * Proven experience in financial planning, budgeting, forecasting, and analysis * Experience in sourcing working capital (Equity/debit) from banks and other financial institutions is highly preferred * Strong understanding of Indian GAAP and relevant accounting standards * Good understanding of the GST laws and statutory procedures. Kindly Share Updated Resume at t.globalzonehr@gmail.com

Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Intensive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior analysts/lead analysts. KPIsTimeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate ,with internal stakeholders and demonstrate the ability transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail Drive for continuous improvement Participation in external data hackathons and competitions will be an added advantage About The Cigna Group Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Role & responsibilities Requirements - * Data Analysis: Collect, analyze, and interpret financial data to identify trends, assess risks, and make predictions. * Financial Modeling: Develop and use financial models to forecast future performance and assess the impact of different scenarios (integrated 3-way models including P&L, Cashflow, and Balance Sheet). * Business Strategy: Contribute to the development of business strategies by providing insights into financial performance and market conditions. * Reporting and Communication: Prepare reports, presentations, and other materials to communicate findings and recommendations to clients or stakeholders. Job Description - * Plan, manage, implement proper Financial Discipline in the organization. * Own financial models, cash flow forecasts, and revenue projections * Track key metrics, P&L, and unit economics across business lines * Monitor spend vs. plan and provide actionable insights * Analyze campaign ROI, product margins, and pricing structures * Build reports for investors, internal stakeholders, and partners * Support scenario planning and growth strategy with data * Manage cash flow effectively to ensure optimal utilization of funds * Explore and implement strategies to improve working capital efficiency What we offer? 1. Competitive pay, structured to accelerate upwards with future growth 2. Great learning curve about solar in future 3. Hands on experience of end to end working of a growth phase startup What we need? * Analytical Skills: Strong analytical and problem-solving abilities are essential for interpreting data and making sound judgments. * Mathematical Skills: A strong foundation in mathematics and statistics is necessary for working with financial data and models. * Communication Skills: Excellent communication skills are needed to effectively communicate findings and recommendations to internal team/stakeholders. * Industry Knowledge: Knowledge of financial markets, economic trends, and business operations is important for making informed decisions. * Proven experience in financial planning, budgeting, forecasting, and analysis * Experience in sourcing working capital (Equity/debit) from banks and other financial institutions is highly preferred * Strong understanding of Indian GAAP and relevant accounting standards * Good understanding of the GST laws and statutory procedures. Work Timing : 8am to 5 pm (Monday to Saturday)

Role: Insights and Analytics Manager Location: Bangalore Mode: Hybrid Profile: We are seeking a dynamic and experienced Insights Manager to lead performance reporting and analysis for our entire company sales and margin. This pivotal role requires a deep understanding of SQL, Python, and data visualization tools, alongside a knack for storytelling and effective communication. The successful candidate will play a key role in identifying trends, patterns, and opportunities within our data and translating them into actionable insights for senior leadership. Key Responsibilities: Utilize SQL and Python to extract, manipulate, and analyze large datasets from various sources, including transactional data, customer databases, and marketing campaigns. Lead performance reporting and analysis initiatives, providing insights into company-wide sales and margin performance across different brands and sectors. Develop reports using tools such as Databricks, Excel, and PowerPoint to visualize key performance metrics and trends. Conduct in-depth analysis of customer trends, product analytics, segmentation, persona, and basket analysis to uncover actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Drive continuous improvement in data quality, accuracy, and reporting processes to enhance decision-making capabilities. Present findings and insights to senior leadership, in a clear, concise, and compelling manner, focusing on the narrative behind the data. Mentor and coach junior team members, fostering a culture of continuous learning and development. Qualifications: Bachelor's degree from a Tier 1 college in a quantitative field such as Mathematics, Statistics, Computer Science, or related field. Master's degree preferred. Minimum of 8 years of relevant experience in data analysis, preferably within the retail industry or a related field. Proficiency in SQL and Python for data extraction, manipulation, and analysis. Experience with data visualization tools such as Databricks, Tableau, or Power BI is highly desirable. Proven track record of driving insights and recommendations from complex datasets to influence business strategy and decision-making. Excellent storytelling and communication skills, with the ability to distill complex data into actionable insights and present them to senior leadership. Strong project management skills with the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously. Self-motivated and proactive with a strong sense of ownership and accountability. Ability to work effectively both independently and as part of a collaborative team environment.

Role Overview: Ketto , Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecyclefrom requirements gathering to design planningalongside implementing advanced analytics and generative AI solutions to support Kettos mission. Key Responsibilities Data Strategy Automation: Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance. Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making. Data Analysis Insight Generation: Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success. Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes. Reporting Quality Assurance: Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed. Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement. Collaboration Strategic Planning: Work closely with Business, Product, and IT teams to align data initiatives with Kettos objectives and growth strategy. Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform. Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making. Required Skills and Qualifications Technical Expertise: Strong background in SQL, Statistics and Maths Analytical Strategic Mindset: Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies. Experience with statistical analysis, advanced analytics Communication Collaboration: Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders. Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals. Preferred Experience: Proven experience in advanced analytics roles Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

What kind of person are we looking for First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you're a curious mind and constantly questions the status-quo, then you'd fit right in with us. What would you get if you worked with us You'll be closely working on problem statements and influencing decisions that impact 500M people. That's 30% of the country, if you're not keeping track. You'll get to interact with some of the smartest professionals that the country has to offer and get exposure to all facets of building a product and at scale. You get complete ownership and responsibility of all analytics support for your area - right from identifying the problem to presenting to the Leadership, if need be. What would you get to do in this role Be an integral part of the CX strategy team and define the critical metrics to understand CX performance. Monitor performance trends and do data analysis for any interventions done to improve customer experience. Collaborate closely with the other CX teams like process design, Product operations, CX operations, Automation, etc. to highlight problems/inefficiencies and translate them into the right analytical problem statement Own the entire insight generation and build the CX story by working on deep, thorough analysis to provide unbiased answers on the identified problem statement. Also, come up with unidentified / unknown problem statements based on new data insights. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis Identify development needs in order to improve and streamline operations & other CX related problems on to the system. Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical metrics for the CX function. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought. Work with central analytics team to ensure that the dashboards are designed and built in a way that makes it easy for the teams to consume the data they need What do you need to have to apply for this position Minimum 1-2 year of analytics experience in relevant roles Strong problem solving & analytical skills Penchant for business & curiosity to understand how the product works Intuition for data and ability to handle big data sources Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, Qlik Sense Ability to clearly explain thoughts and ideas either verbally or in the written form. Candidates who are able to explain the story behind their analysis will find themselves at an advantage Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis, is a pulse. Understanding of data-analysis languages such as R, Python and in core statistical concepts is good to have. Experience in building ML models is good-to-have, but not mandatory. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy

Job Title:GN - SC&O - S&P – Spend Analytics – Data Analyst Management Level:11 – Location:Gurgaon Must have skills:MS Excel, Spend Analytics Good to have Skills: Alteryx Job Summary : The Data Analyst will work closely with the Project Manager to assess data quality, identify gaps, conduct analysis, and draw insights. They will generate reports and extracts to support these insights and are expected to proactively identify data issues, develop solutions, and improve processes. The Data Analyst will manage databases, conduct data audits, and generate insights through analysis while collaborating with team members for continuous improvement Roles and Responsibilities: Data Handling and Analytics Data Management – Build and maintain databases by gathering data inputs from various sources. Data Refining and Enhancement – Create and maintain data refining rules and address data deficiencies through logical validation. Data Audit – Check data quality, identify gaps, and update the database as required. Data Analysis – Conduct analysis on prepared data as per defined processes and generate insights. Also, set up new analysis templates as required. Technical requirement MS Excel – Proficient in handling and structuring analysis independently; familiarity with Macros is a plus. Alteryx (Optional) – General understanding of the tool and its basic features. Professional and Technical Skills: Ability to create solutions for data / analytical problems. Build and execute reliable Excel data models to analyze spend, identify savings, and enable efficiency-related analysis. Conduct primary and secondary research to support the development of data-driven insights and process improvements. Collaborate with team members to identify key insights and opportunities. Focus on continuous process improvement Additional Information: Excellent Analytical and Research Capabilities: "Comfort and proficiency in handling large data analysis and secondary market research. Good Spoken and Written Communication Skills (English): "Ability to participate in global team calls. Advanced MS Excel Skills: "Ability to handle and structure analysis Exposure to Alteryx (Optional) Outstanding Numerical and Quantitative Analysis Capabilities. " Excellent Attention to Detail: "High output accuracy and innovative approaches to problem-solving. Good Working Knowledge of MS PowerPoint and MS Word: "Experience with creating presentations. Quick Learner of Technology: "Ability to quickly understand and adapt to new technologies . About Our Company | Accenture Qualification Experience:2+ years Educational Qualification:Bachelor’s or Master’s degree

About the Opportunity: Role : Product Analyst Level : Senior Executive/ Assistant Manager/ Deputy Manager Location : Gurugram Function : myPartner (B2B)/ Adtech/ Holidays/ Flights About the Role As a Product Analyst, the individual will co-own product and business metrics, analyze large and complex datasets, and deliver actionable insights that influence strategy and execution. This role involves partnering closely with Product Managers to dive deep into customer experience metrics, build intuitive dashboards, and develop predictive models to forecast consumer behavior. Additionally, the analyst will be responsible for generating daily reports, automating recurring reports wherever possible, and conducting in-depth analysis to track and improve key business performance indicators. What will you be doing Deep-dive into funnel metrics, behavioral data, customer feedback, and booking patterns to uncover friction points, drop-offs, and growth opportunities. Collaborate closely with product managers, engineers, and data scientists to codefine problem statements, prioritize product bets, and quantify impact. Identify, analyze, and interpret trends and patterns in complex data sets. Integrate Gen AI models (e.g., prompt-driven user clustering, LLM-powered segmentation, sentiment extraction) into analysis pipelines to accelerate insights. Develop and maintain large data sets, and create scalable dashboards and AIaugmented storytelling tools for product reviews, experiment outcomes, and leadership reporting. Monitor market trends, competitive benchmarks, and user research to recommend feature sets that align with industry shifts and evolving user needs. Help define success metrics for product initiatives, run A/B tests, and evaluate performance post-launch. Build and optimize data pipelines to enable faster feedback loops between user behavior and product iteration. Present findings through visually engaging, compelling narratives that drive confident decision-making Qualification & Experience Knowledge of Advanced SQL queries, Python and Advanced Excel is must . An engineering graduate from a reputed institute with 2 - 7 years of experience in data or product analytics roles within a consumer-facing, technology-enabled business or product environment . Familiarity with BI technologies. Adept at queries, report writing and presenting findings. Exposure to Gen AI tools or prompt engineering, LLM-based data summarization, or experience working with NLP models is a strong plus. Knowledge of statistics and experience using statistical packages for analysing datasets (SPSS, SAS, R, etc) is preferred Key Success Factors for the Role Passion for data and a strong ability to solve complex problems. Excellent communication, influencing, interpersonal, and stakeholder management skills. High on energy, a go-getter, and a strong team player.

Walksea Industries deals in premium cocoa and coffee products, We are looking for a BDM to spearhead the company’s growth initiatives. The role focuses on driving revenue, identifying new BD, & fostering strong relationships for sustainable expansion

Responsibilities: Formulate, organise and monitor inter-connected projects Decide on suitable strategies and objectives Coordinate cross-project activities Lead and evaluate project managers and other staff Develop and control deadlines, budgets and activities Apply change, risk and resource management Assume responsibility for the program’s people and vendors Assess program performance and aim to maximise ROI Resolve projects’ higher scope issues Prepare reports for Cadence meetings Track progress on projects and initiatives across various functions Organise workshops/ events and ensure participation Work on other departmental initiatives like newsletters, training hours, learning platforms, etc. Requirements: Proven experience of 6+ years as a Program Manager or other managerial position (preferably in Consulting organisations) Thorough understanding of project/program management techniques and methods Excellent Knowledge of performance evaluation and change management principles Good experience of storyboarding and insight generation Excellent knowledge of MS Office; working knowledge of program/project management software (Basecamp, MS Project etc.) is a strong advantage Candidates with experience of program management in EPC/ Manufacturing sectors will be preferred Education and soft skills: Top-tier business school Excellent communication skills are mandatory Excellent problem-solving and liaising ability with other team members

Dashboarding & Insight Generation Tag Management GA/Adobe Analytics Implementation Attribution, Single Source of Truth and MIS Automation 5+ years of experience in - Data Analytics, Implementation of Analytics Platform, Attribution Framework Required Candidate profile Marketing strategy & planning Well versed with Attribution Logics Marketing target management Channel management Data analytics (Analytic Tools) Advanced SQL queries, Python & Advanced Excel

Dashboarding & Insight Generation - Maintain rich interactive visualizations through data Analysis - Data mining - Identify, analyze,& interpret trends in complex data sets - Develop & implement databases GA/Adobe Analytics Implementation Required Candidate profile Advanced SQL queries, Python & Advanced Excel Familiarity with BI technologies Marketing strategy & planning Well versed with Attribution Logics Adept with query languages Data analytics

The Process Excellence Manager will be responsible to ensure the Commercial team operates with best-in-class processes and practices, driving sustainable business results through continuous improvement and the application of internal and external best practices. It involves defining and refining commercial processes, launching and managing the excellence program, ensuring compliance, and fostering a culture of high performance. Key Requirements Process Design & Standardization Define and create standardized, efficient processes for the Commercial Team, aligned with business objectives and designed to improve operational performance. • Work with cross-functional stakeholders to ensure that new processes support business goals and are scalable and adaptable as business needs evolve. • Bring in internal and external best practices, case studies, and innovative methodologies to continuously elevate the commercial team's performance and the effectiveness of the Excellence Program. • Drive the evolution of the Excellence Program by adapting to changing business needs and integrating the latest practices, tools, and strategies Execution Excellence Lead the design, launch, and ongoing implementation of the Commercial Teams Excellence Program, ensuring adoption across all commercial functions. • Develop & deliver the training programs and tools that equip the team to consistently follow the established processes. • Track the performance and adherence to defined processes and excellence standards within the Commercial Team. • Perform audits and assessments to identify areas of improvement, making data driven decisions to close any gaps and ensure compliance. • Create and execute engagement activities and competitions to boost morale, maintain enthusiasm, and foster a high-performance environment. • Lead all internal communications for the Commercial Team, ensuring consistent messaging on process updates, performance results, and excellence goals Data Driven Insights Define and implement KPIs and performance metrics to measure the success of processes and monitor business results. • Present data-driven insights to leadership, offering clear visibility into team performance, state/region rankings, and areas requiring improvement. • Leverage performance data and insights to inspire excitement, generate healthy competition, and motivate the team toward achieving excellence Education and/ or specific experience Bachelors degree in Business Administration, Management, or a related field; Masters degree preferred. • Proven experience in process excellence, continuous improvement, or operational leadership, particularly within a commercial or sales environment Skills and/or knowledge Demonstrated project management skills with the ability to lead cross-functional teams. • In-depth knowledge of process design, performance metrics, and business analytics. • Proficiency with business intelligence tools, CRM systems, and project management software • Exceptional communication and leadership abilities to engage and influence diverse teams. • Strong problem-solving skills and a passion for driving change and improving processes. • Flexibility to adapt to changing priorities and multiple tasks. • Strong organizational and time management skills

Role & responsibilities We are looking for a highly motivated and skilled Assistant Manager with strong domain knowledge in Data Analysis / Business Analysis to join our growing team. Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Skills : B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of experience, at least 4 years of relevant analytics experience Strong experience in SQL, Tableau, A/B testing, Excel and Business analysis Proficiency in a statistical programming language like R or Python would be a plus. Strong Problem-solving skills with the ability to interpret complex data sets. Good communication skills, with experience working in a fast-paced environment with cross-functional teams. Preferred candidate profile Machine learning , Data science knowledge prefer Perks and benefits Hybrid Mode (Weekly 3 days)

Job Overview: We are seeking a highly skilled and motivated Media Manager to join our dynamic marketing team in the Alcoholic Beverage industry. The Media Manager will play a crucial role in developing and executing media strategies that enhance brand visibility, drive consumer engagement, link media to business and contribute to the overall growth of the company. You will be responsible for managing all media channels, optimizing media budgets, keep in mind the mandatories of alcobev advertising and collaborating with creative & media agency to deliver impactful campaigns across traditional and digital platforms to drive ROI Key Responsibilities: 1. Media Planning & Strategy: Develop and implement effective media strategies and plans to meet brand objectives and KPIs, keeping in mind the alcobev restrictions. Identify target audiences and select appropriate media channels (TV, radio, print, digital, social media, OOH, OTT platforms, etc.) to maximize reach and engagement. Collaborate with the brand and marketing teams along with the agency to align media strategies with product launches, events, and promotions. Link all strategies to ROI & track all campaigns to achieve the aligned KPIs 2. Campaign & Budget Management: Manage media budgets, ensuring optimal allocation across channels to maximize ROI. Monitor media spend and make data-driven adjustments to improve campaign performance and cost-efficiency. Provide regular reports on media performance, spend analysis, and campaign results. 3. Campaign Execution & Optimization: Oversee the execution of media campaigns, ensuring all media assets are delivered on time and in line with creative requirements. Continuously monitor live campaigns and optimize media buys in real time to ensure maximum effectiveness. Work closely with external media agencies and vendors to ensure seamless media executions. 5. Market Research & Competitor Analysis: Conduct regular market research and competitor analysis to stay ahead of trends and industry shifts in the alcobev space. Analyse consumer behaviour, media consumption patterns, and emerging media trends to inform media strategy. Provide insights and recommendations based on consumer trends, media consumption, and competitive landscape. 6. Reporting & Analytics: Prepare detailed media reports, presenting insights on reach, engagement, impressions, and ROI. Collaborate with data analytics teams to measure the effectiveness of media campaigns and ensure continuous improvement. Analyse campaign results and present actionable insights to key stakeholders. 7. Compliance & Brand Guidelines: Ensure all media plans and executions are compliant with relevant alcohol advertising regulations and guidelines. Maintain brand consistency across all media channels while upholding the companys standards and values. 8. Global Guidance Liaising with the global teams to ensure the strategies are in line with global guidelines. Toolkits for India specific plans keeping global guidelines as a base & aligning the global team on the realities in the markets. Key Requirements: Bachelors degree in marketing, Advertising, Communications, or a related field. 4-6+ years of experience in media planning, buying, and strategy, preferably in the FMCG, Alcoholic Beverage, or related industries. Strong knowledge of traditional and digital media platforms (TV, radio, print, social media, search, etc.). Proven ability to manage media budgets and optimize campaign performance for maximum ROI. Hands-on experience with media buying tools, digital ad platforms (Google Ads, Facebook Ads, etc.), and social media management tools. Strong analytical skills and the ability to translate data into actionable insights. Excellent communication and presentation skills to effectively collaborate with cross-functional teams and external agencies. In-depth understanding of the alcohol beverage industry and its regulatory environment is a plus. Ability to thrive in a fast-paced, dynamic environment while managing multiple projects simultaneously.

Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Position Overview: The D&A Strategy Execution's Digital Product Analytics team is seeking an Analyst with proficiency in data analysis, business intelligence, and digital analytics. The successful candidate will leverage data to create data models and perform analysis to uncover digital customer/client value potential. Key responsibilities include providing strategic digital, business, and marketing recommendations; advising on the strategic use of customer and client data; promoting data analytics awareness across the client base and enterprise; and ensuring efficient system implementation and integration. The role requires a blend of technical ability, strategic thinking, and a deep understanding of digital analysis. This role on our Digital Product Analytics team is an exceptional opportunity to deepen your understanding of digital data and product strategy integration. The role offers a stepping stone towards future leadership roles within the digital and analytics landscape through learning to integrate data analysis into product strategy. Responsibilities: Independently develop and implement data analytics decision tools and business case models in collaboration with the Digital Website and Apps Analytics team Formulate hypotheses, plan tests, and execute A/B testing on product performance, utilizing a strong understanding of experimental approaches in product launch strategies. Follow up with go-live value measurements to assess strategy effectiveness Generate insightful reports and monitor the product performance to identify customer behaviors and trends, providing a deeper understanding of user engagement Apply structured problem-solving frameworks to identify key growth and profitability drivers of a regional insurance portfolio, and to highlight business issues or opportunities Translate statistical conclusions into business solutions and facilitate successful implementation in a cross-functional and decentralized global business environment Proactively provide innovative, customer-focused recommendations to all sales and distribution channels to maintain existing Business Partner relationships and secure business opportunities in an agile environment Support the Digital Product team as required, providing analytics expertise where needed Develop scalable standard practices for digital analytics and insight generation, ensuring consistency and efficiency across the business Collaborate effectively with team members situated across different geographies, fostering a unified and productive working environment Qualifications: Required Skills: Strong written and verbal communication skills with the ability to interact with all levels of the organization. A high level of skill using SQL and ETL to wrangle and transform data Experience with data visualization (Tableau preferred) to create dashboards Demonstrated strong communication and presentation skills that produce high quality results Ability to produce actionable insights through collaboration in a matrix team environment Understanding of health care industry is a plus Required Experience & Education: 3-5 total years of experience of strong relevant analytics experience in two or more of the following disciplines digital analytics, digital product management, data visualization, hypothesis testing, and insight generation College degree (Bachelor) in related technical areas or equivalent work experience. Desired Experience: Exposure to digital data feeds like Adobe CJA or Google clickstream data Experience with Python

Role & responsibilities Work with wider teams to develop eComm Channel intelligence, identifying & understanding channel trends, competition monitoring & opportunity identification (big bets) Create in depth analysis on performance & opportunity work with GBS, Sector & BU teams Review channel & key customers priorities, roles & strategies based on 1YR market outlook refresh Develop overall and customer specific performance reviews and scorecard tracking (MBR and QBR) Build scorecard, KPI dashboards & agree tracker milestones Support BU teams with analysis and deep dives to enable customer conversations and support JBP efforts Carry out ad hoc strategic analysis consolidating multiple data sources to provide strategic insight Prepare channel specific analyses, charts, sets of data and presentations that provide clear & actionable insight Connect with BU, sector, finance & GBS counterparts to source information needed, often consolidating multiple data sets Actively work with DX & Insights teams to generate & consolidate eComm market intelligence (e.g. Kantar) and shopper / channel insights Source & curate external insights & reports, helping to share & build interlligence across the eComm community Make sense out of numbers and given information to prepare overarching story and conclusions/recommendations Prepare compelling presentations tell stories from macro to micro points of action Choose and influence stakeholders to get specific information and point of view Based on high-level goals, create actionable steps and define proper resources and milestones to achieve the result Preferred Skills 5+ years experience in strategy/management consulting OR mutli-national organization working in a sales, commercial or transformation function Ability to use BI tools Internal (e.g. Cockpit, eComm IQ), and external (e.Fundamentals, Similar Web, eConsultancy, Kantar, Nielsen etc.) Proficiency in MS Office package, especially Excel & Power Point is essential Very Good level of written & spoken English Strong analytical skills Experience of Tableau (or other BI tools), and/or data visualization experience can be a plus Ability to work with virtual teams across multiple geographies & timezones Proactive approach - drive online sales and customer engagement whilst taking others with you Ability to strategically frame opportunity, codify & share learnings across wide group of stakeholders Previous eComm experience preferred Ability to handle multiple work streams simultaneously and to tight deadlines in a fast-paced and dynamic environment. Good collaborator and influencer: Experience working with a breadth of stakeholders and peers levels, functions and across countries in Europe Ability to extract key messages from complex data and craft a clear narrative, presenting in person & virtually Good commercial and operational instinct to ensure recommendations are practical and executable Well organized, self-sufficient and proactive: Best-in-class time management skills, ability to multitask, set priorities and plan Can-do, flexible attitude with resilience: Calmly able to respond to rapidly changing business priorities Proven experience using PowerPoint and ability to producing visually compelling presentations (i.e. beyond just operating the software) that are impactful with a senior audience Demonstrated proficiency in utilizing Power BI for data visualization and business intelligence

About The Role : for Consultant - S&C GN - CDI Position Title: Consultant (Level 9) Experience :min 2 - 3 years experience at Consultant Level with a prior data science background Location: Gurgaon Employment Type: Full Time Job Summary : We are seeking an experienced Consultant to execute projects involving Generative AI and Advanced Analytics. The ideal candidate will have proficiency in Spark and Python, with strong skills in Excel and PowerPoint. Additionally, the candidate should have hands-on experience in building and fine-tuning AI/ML models, with a solid understanding of model development, optimization, and deployment. Experience with visualization tools like Tableau or Power BI is a plus, though not essential. This role requires a detail-oriented professional with excellent analytical, problem-solving, and communication skills to support business decisions and drive project success. Key Responsibilities: Execute projects involving Generative AI and Data Science, ensuring timely delivery and quality outcomes. Develop data models and algorithms using Spark and Python to analyze data and generate insights. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. Create and deliver reports and presentations using Excel and PowerPoint to communicate findings and recommendations to stakeholders. Optionally, use visualization tools like Tableau or Power BI to present data insights in a clear and impactful manner. Provide technical expertise and support to team members and clients. Manage project timelines and deliverables, ensuring adherence to project plans and schedules. Maintain up-to-date knowledge of industry trends and best practices in AI and Data Science. Qualifications Qualifications: Hands-on experience with Generative AI and Data Science. Prior experience in building AI/ML Models Proficiency in working on big data using Spark and Python. Strong skills in Excel and PowerPoint (ideal but not mandatory). Experience with visualization tools like Tableau or Power BI is a plus, though not essential. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and manage projects. Experience in a consulting environment. Strong organizational skills and attention to detail. Preferred Skills: Ability to work independently and manage projects. Experience in a consulting environment. Strong organizational skills and attention to detail. Knowledge of industry trends and best practices in AI and Data Science. Experience with client relationship management.