39 Insight Generation Jobs - Page 2

"JOB LOCATION - ACROSS INDIA" Primary Purpose of the role Single owner to drive commercial dashboarding, performance planning & management. Key Tasks & Accountabilities The person is responsible for all internal reporting of commercial numbers. Setting up the process, tolls to measure and improve commercial performance Deep dive into the data to understand how the market works and provide the tools to the sales team to sell in the most efficient and profitable manner. Builds the knowledge to use sales analytical tools such as APT, time series etc. Dont expect you to know the tools but expect you to learn new tools and actively use them. Work with RSMs for territory expansion and sales team deployment- Drive Sales processes efficiency improvement and ensure optimal allocation of people sales resources to deliver payback and guarantee targets achievement: Distribution, MS, Volume, NR Routine processes of monthly reviews, providing data to the regional teams Required Knowledge, Skills & Attributes A University Degree in Business in relevant subject required, MBA preferred. A minimum of 5-8 years of relevant experience (analytical role) in any industry. Relevant industry preferred Extraordinary communication & relationship skills including the ability to collaborate cross-functionally both up & down within the organization. Ability to continuously re-prioritize & adapt to change & effective at managing change. Strong analytical skills, ability to distill insights & propose relevant recommendations. Excel and Powerpoint skills

1. Conduct market research and competitive analysis 2. Build and evaluate financial models 3. Drive strategic planning and execution 4. Manage cross-functional projects 5. Deliver data-driven business insights Required Candidate profile 1. 3+ years at a Big 4 consulting firm 2. Strong in strategy and operations 3. Expert in process improvement 4. Skilled in client engagement and analysis

Required Skills: Proficient in Power BI Desktop and Power BI Service Strong knowledge of DAX and Power Query (M Language) Hands-on experience in SQL and data warehousing concepts Ability to create and optimize data models Experience in integrating Power BI with Excel, SharePoint, SQL Server, or APIs Good to Have: Experience with Power Automate and Power Apps Knowledge of Azure Synapse , Data Factory , or other Azure services Experience with Row-Level Security (RLS) and report sharing best practices Understanding of Agile/Scrum methodology

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.