122 Business Insights Jobs - Page 5

Skill required: Delivery - Business Insights Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.The Sales AI/BI & Data Science team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Ability to manage multiple workstream and stakeholders. Ability to perform under pressure and agility for quick learning. Ability to establish strong client relationship. Ability to handle disputes. Ability to manage multiple stakeholders and meet deadlines. Strong analytical skills. Working knowledge and experience in building forecasting models. Sales Operations. Microsoft Excel. Sales Reporting & In-depth transformational project experience. Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration. Good to have exposure to Microsoft Power BI, Power Query and Power Pivot. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. May interact with peers and/or management levels at a client and/or within Accenture. Guidance would be provided when determining methods and procedures on new assignments. Decisions made by you will often impact the team in which they reside. Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

Primary Purpose of the role Work on building the organization strategy and ensure the same is operationalized through the delivery of strategic PMOs. This role will partner closely with the senior leadership to help make data driven decisions, establish processes and manage allied stakeholders across multiple strategic projects. The role will traverse multiple functions as the need arises, giving you exposure to various aspects of the business. Roles and Responsibilities Play a key role in building a sustainable growth strategy for BU ISEA Lead the different planning cycles viz.1 year, 3 year, 5 year and 10 year cycles for the country Lead and monitor long-term strategic business initiatives from development through successful execution under the guidance of senior leadership and departmental heads. Establish frameworks and standards for Program and Project Management Work effectively with diverse teams to come up with the best solutions Provide Project planning, Milestone management, Scope management, Resource forecasting; Financial Management; Change Management across the project portfolio Ensure the appropriate program benefits are identified, quantified and their realization planned Participate in the development of Projects that may consist of a variety of challenges that may range from innovation, new products, supply chain, and strategic whitespace development, etc. Maintain and update the project management framework and disciplines necessary to support a PMO Data analysis: turn unstructured data into meaningful insights and transformative solutions Structure ambiguous problems and take action to solve them Mining insights which would help the leadership to make decisions and transform the BU Adept at primary and secondary research on markets as well as consumer trends Benchmarking across ABI globally (internally) and externally across other CPGs/FMCGs on best practices Build business cases on all important areas of the business viz. right from launching a new product, brand, innovations, expansion projects, S&L projects, etc. Financial modelling to craft out scenarios and build out P&Ls based on different levers Manage and compile Program related financial and KPI information Track financial reporting whilst ensuring that the program and projects adhere to the corporate financial processes Prepare regular status reporting for the senior leadership Contributes to overall profitability by monitoring all areas of Project expenditure and reporting on performance against variations. Skills and/or knowledge Exceptional analytical, commercial and problem-solving skills Strong skills in creating and maintaining project and program plans, including risks, actions, issues, dependencies Ability to deliver insights with impact Robust financial modelling skills Experience in planning and leading strategic initiatives Experience in valuations, M&As, growth strategy will be a plus Knowledgeable and experienced in efficient Change Management methods

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

Skill required: Delivery - Business Insights Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.You will be aligned with our Ops Transformation vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area.The Business Insights team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Working knowledge and experience in building forecasting models Sales Operations Microsoft Excel Sales Reporting & In-depth transformational project experience Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration Good to have exposure to Microsoft Power BI, Power Query and Power Pivot Ability to manage multiple workstream and stakeholders Ability to perform under pressure and agility for quick learning Ability to establish strong client relationship Ability to handle disputes Ability to manage multiple stakeholders and meet deadlines Strong analytical skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. May interact with peers and/or management levels at a client and/or within Accenture. Guidance would be provided when determining methods and procedures on new assignments. Decisions made by you will often impact the team in which they reside. Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

Position description: 1 Enhancing the quality of IT products and services. 2 Analyzing the design of technical systems and business modelsilize IT data for business insights. 3 Source and implement new business technology. 4 draft nonfunctional requirements which include the systems quality attributes, such as usability, security, reliability, performance, availability, and scalability. 5 Compare the overall scope with the promised business value. Primary Responsibilities: 1 Ennhancing the quality of IT products and services. 2 Analyzing the design of technical systems and business modelsilize IT data for business insights. 3 Source and implement new business technology Educational qualifications preferred Category: Graduate Diploma Field specialization: Degree: Bachelor of Engineering - BE, Bachelor of Technology - BTech Academic score: Institution tier: Required Skills: Insuarnce Knowledge Insurance Process Requirement Gathering SQL Required abilities Physical: Other: 1: Communication skills - ability to listen, understand and pass on the understanding to the team2: Exceptional problem solving skills3: Leadership and Management skills 4: Should be flexible and supportive when situations demands 5: Team management 6:Analytical skills

Skill required: Sales Insights & Intelligence - Sales Enablement Designation: Analytics and Modeling Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Transforming sales to become a future-ready and digital B2B revenue engine.You will need an understanding of using Accenture sales processes, tools, metrics, and techniques that support our aggressive sales goalsEquip sales teams with the right content, training, and data to drive sales activity. What are we looking for " 7+ Year of overall experience with minimum 3 years in backend Sales Operations processes /Customer Service with at least 2-3 years of experience in leading teams of 20+ Employees Work experience in sales support and reporting relatedpositions is preferred Experience in creating sales reports, proficient in using Excel functions, and preferably familiar with Power Query, Power Pivot and Power BI Preferably with experience in Software & Platforms industry, and knowledge of data and cloud infrastructure products. Responsible, strong communication skills, able to support customers in sales reporting and sales opportunity management. Able to accept flexible working hours and occasional overtime; Workflow management, Work assignment and tracking it to closure Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint and Outlook) Experience in working as Subject Matter expert, Training delivery, Supporting new transitions, Building Process maps and DTPs, Root Cause Analysis and coaching team members Experience in managing clients and Relationship Management"" Ability to establish strong client relationship Ability to manage multiple stakeholders Adaptable and flexible Collaboration and interpersonal skills Problem-solving skills Commitment to quality Negotiation skills Process orientation Agility for quick learning" Roles and Responsibilities: "Strategic Reporting & Business Insights:Lead the team in producing detailed business analysis and summary reports that provide insights aligned with sales goals and business strategy.Customized Reporting Oversight:Ensure that personalized reports are created and delivered in a timely manner, offering strategic insights and recommendations for the sales team.Team Communication & Risk Management:Lead the organization and facilitation of regular communication meetings for the sales team, ensuring that action items and risks related to sales opportunities are clearly documented and addressed.Inquiry Management:Oversee responses to inquiries from the sales team about business data, ensuring accuracy and timeliness. Address more complex or escalated inquiries as needed.Leadership & Performance Management:Manage a team of 20+ employees, ensuring high-quality output and meeting KPIs for reporting, communication, and inquiry response. Provide mentorship and coaching to enhance team performance.Process Optimization:Identify opportunities for streamlining reporting processes, improving efficiency, and ensuring accuracy in reporting and analysis" Qualification Any Graduation

Project description We are seeking an experienced Senior Flexera Data Analyst to join our team. This role focuses on managing internal data structures, automating data flows, and delivering actionable reporting within the Flexera ecosystem. You should have deep experience in data modeling, API integrations, and reporting, along with a strong understanding of software asset management principles. Responsibilities Internal Data Structures & Modeling Design, maintain, and optimize internal data models and structures within the Flexera environment. Map business asset data to Flexera's normalized software models with precision and accuracy. Ensure accurate data classification, enrichment, and normalization to support software lifecycle tracking. Partner with infrastructure, operations, and IT teams to ingest and reconcile data from various internal systems. Reporting & Analytics Design and maintain reports and dashboards in Flexera or via external BI tools such as Power BI or Tableau. Provide analytical insights on software usage, compliance, licensing, optimization, and risk exposure. Automate recurring reporting processes and ensure timely delivery to business stakeholders. Work closely with business users to gather requirements and translate them into meaningful reports and visualizations. Automated Data Feeds & API Integrations Develop and support automated data feeds using Flexera REST/SOAP APIs. Integrate Flexera with enterprise tools (e.g., CMDB, SCCM, ServiceNow, ERP) to ensure reliable and consistent data flow. Monitor, troubleshoot, and resolve issues related to data extracts and API communication. Implement robust logging, alerting, and exception handling for integration pipelines. Skills Must have Minimum 6+ years of working with Flexera or similar software. Flexera ExpertiseStrong hands-on experience with Flexera One, FlexNet Manager Suite, or similar tools. Technical Skills: Proficient in REST/SOAP API development and integration. Strong SQL skills and familiarity with data transformation/normalization concepts. Experience using reporting tools like Power BI, Tableau, or Excel for data visualization. Familiarity with enterprise systems such as SCCM, ServiceNow, ERP, CMDBs, etc. Process & Problem Solving: Strong analytical and troubleshooting skills for data inconsistencies and API failures. Understanding of license models, software contracts, and compliance requirements. Nice to have Soft Skills: Excellent communication skills to translate technical data into business insights. OtherLanguagesEnglishC1 Advanced SenioritySenior

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)

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Role Partner with stakeholders to understand data requirements. Producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, and query analytic and statistical software to build solutions, perform analysis and interpret data. Primary Job Responsibilities Include Responsible for the management and manipulation of mostly structured data. Delivering Business Intelligence solutions using Agile software development process. Conducting analysis, performing normalization operations and assuring data quality. Utilize Python and its libraries (scikit-learn, Pandas, NumPy, TensorFlow, PyTorch) for data processing and model development. Design, build, and optimize AI models and generative AI applications. Create and fine-tune prompts for generative AI systems, including zero-shot, few-shot, and chain-of-thought approaches. Implement and manage RAG modeling using vector databases (Milvus, Chroma, FAISS). Creating specifications to bring data into a common structure. Creating product specifications and reporting models. Performing data analysis and interpreting data/business insights. Develop and maintain data preparation and validation routines to support data mining. Analytical - Synthesizes complex or diverse information, collects and researches data, uses intuition and experience to complement data, design workflows and procedures. Developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership. Establish, refine and integrate development and test environment tools and software as needed. Identify production and non-production application issues. Ability to quickly analyze existing code, identify performance/reliability/scalability issues, propose solutions, and code optimization/updates as required. Provide technical support and consultation for database and infrastructure questions. Skills Required Must have extensive exposure in data analysis and business insights. Experience in database design, programming, testing and implementation using SQL with standard practices and procedures. Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency. On-the job experience working with relational database management systems like Microsoft SQL Server, Oracle etc. Must have extensive hands-on experience in ETL methodologies. Must have experience in building business intelligence solutions preferably using Snowflake. 1-2 years of experience in AI and machine learning . Understanding of LLM, Transformer, AI frameworks and libraries such as Tensorflow, PyTorch or similar Good to have experience in building data pipelines using Azure data integration tools. Experience and understanding on database performance tuning, database Management, requirements analysis, software development fundamentals. Ability to conduct analysis to ensure quality of data at various stages of its evolution. Proficiency in end-to-end analytics. Excellent problem solving, documentation skills, written & verbal communication skills. Excellent data Maintenance, database Security, promoting process improvement skills. Ability to drive for excellence with a strong sense of urgency. Ability to prioritize effectively. Ability to get to the bottom of issues (root-cause). Ability to be a creative problem-solver. Ability to build relationships with peers, team members and business partners. Ability to guide the planning and mitigation of critical tasks and timelines and align them to the over-all strategy. Should be able to work independently with minimum support/mentoring. Willing to learn new technology. Should be open for development and support. Able to write user and technical documentation. Hands on experience in dealing with global customers to gather requirements and translate them into solutions using the necessary skills. Perform proof of concept analyses. Experience in investigating and responding to routine or standard requests. Experience in solving complex problems and developing innovative solutions. General This is a high visibility role requiring high energy due to the constant interaction with the customers. Good to have a candidate with following abilities:- Self-driven, ability to work independently and facilitate change. Ability to work in a fast-paced, technical, cross-functional environment. Ability to work on projects from inception to completion. Excellent critical thinking and analytical skills. Comfortable working in a high-paced/high production area. Desire and ability to learn new skills, systems and processes. Anticipate customer needs and proactively develop solutions to meet them. Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field. Minimum 3 years hands-on experience in DWBI domain and usage of BI tools. Minimum 3 years hands-on experience in database management. Preferred Experience in the health care industry. priority reflected in our mission.

Job highlights Were looking for someone with at least 5 years of experience in a position monitoring,managing,and drawing insights from data. ACCOUNTABILITIES Graduate in any discipline Experience of minimum 4 years . JOB KNOWLEDGE,SKILLS & EXPERIENCE. Strong mathematical skills to help collect,measure,organize and analyse data Job match score Early Applicant Keyskills Location Work Experience Job description To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders Location : MUMBAI ALL AREAS, MUMBAI SUBURBS

Must have skills required : Machine Learning, Data Visualization, Model evaluation, coding skills, Statistical Data Analysis Good to have skills :LLMs We are looking for a Data Scientist 2 to join our Bangalore team and work on problems in areas like product matching, product tagging, etc. Roles and responsibilities: Understand the business problem and provide data science solutions. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions ( end to end ) Do exploratory data analysis to support existing and future data science projects. Build dashboards to monitor the data science project's performance and communicate the metrics to the business team. Preferred Qualifications: Work Experience : 3+ Years of data science experience Machine Learning Knowledge: Well versed with machine learning concepts and have built ML projects end to end. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights. Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills: Strong coding skills in Python. Able to write modular and reusable code. Good to have experience of using LLMs for data science solutions .

1. Collaborate with stakeholders to gather, document, and analyze business requirements. 2. Translate business needs into functional specifications for technical teams. 3. Identify process inefficiencies and suggest data-driven improvements. Required Candidate profile 1. Work closely with product managers and developers to ensure requirements are understood and implemented correctly. 2. Participate in sprint planning, backlog grooming, and other Agile ceremonie

About the company: Ever wondered what Swiggy, Curefit, Lendingkart, and hundreds of other data-driven companies have in commonThey all use Hevo Data's fully managed Automated Pipelines to consolidate their data from multiple sources like Databases, Marketing Applications, Cloud Storage, SDKs, and Streaming Services, etc. Our mission is simple yet > We are a San Francisco/ Bangalore company with customers spread across 30+ countries in domains such as e-commerce, financial technology, and healthcare. Strongly backed by investors like Sequoia Capital, Chiratae, and Qualgro we have successfully raised $43M to date and are looking forward to our next phase of hyper-growth! Read more on our funding on TechCrunch. Please visit our Company Website to know more about us. What problems is Hevo Data trying to solve for the customers Organizations want to leverage their data to make smarter business decisions. However, they struggle a lot to integrate data residing within multiple silos. As a prerequisite to generating business insights, data needs to be prepared for analysis. This requires businesses to invest additional engineering bandwidth to build and maintain systems to fetch, clean & transform this data. Hevo Data makes this process easier for businesses by cutting down the amount of time spent extracting and preparing data from a few weeks to a few minutes through a No-Code Platform. To know more about our Product, please visit Our Product What will be your role at Hevo Do you get excited by the challenge of scaling a fast-growing company through strong analytics and business insightsAre you someone who enjoys making sense of large data sets and identifying groundbreaking trends, gaps and growth opportunities hidden in it We are looking for a Business Analyst to assist our Growth teams to design, track, measure entire funnel metrics and share insights for all initiatives such as Organic Growth, Website Traffic and Conversions, Search Engine Optimization, Sales Funnels, and more. The role will offer immense opportunities to grow exponentially by learning and implementing innovative data analysis frameworks and strategies. You will work hands-on with cutting edge data analysis tools and applications to solve real-world business problems that have huge impact in shaping the company. The ideal candidate will be independent, entrepreneurial, and passionate about enabling your team to be more data-driven! She or he should be curious and should have a strong scientific temperament. What you'll do: - Be the analytical powerhouse to the Growth team - know the ins and outs of our database, consisting of both internal and third-party data, including availability, provenance, reliability, and relationships between data sets. Through SQL, you will process, transform, merge, and report our data. - Drive highly visible analytic projects for the Product and Marketing teams across Customer Funnels, Paid/Organic acquisition channels. Surface insights and present results to business leaders using a variety of tools. - Deliver in-depth analyses regularly on the effectiveness of campaigns across multiple channels - Organic Growth, Website Conversions, Search Engine Optimization, Sales Funnels and more. - Build models on Blog Ranking , Cohort Analysis, Traffic to Website Conversion, etc. to highlight challenges and opportunities. - Collaborate with the organic growth and SEO team to understand business strategy, challenges, and goals, and discover areas for opportunity. - Uplevel teams' own data skills, democratize access to data. - Bring process improvement by consistently challenging our benchmarks, metrics with the industry trends and standards. What we're looking for: - 1-4 years in a quantitative role preferably across growth analytics / media analytics / marketing analytics / product analytics / financial analysis. - Day-to-day familiarity with writing efficient SQL queries on large datasets to extract and manipulate data is required. - Strong communication skills and the ability to explain complex analyses to both technical and non-technical audiences. - Demonstrated experience using spreadsheets and/or dashboarding tools (Tableau, Looker, etc.) to analyze marketing performance and forecast future growth. - Understanding of various SEO tools like Ahref, Semrush etc. is a plus. - Experience coding in languages such as Python is advantageous. - Excellent communication, organizational and project management skills. - Ability to think logically, a high level of drive, initiative, and self-motivation. - Comfortable prioritizing and driving multiple projects simultaneously and holistically own deliverables. Apply Save Save Pro Insights

Role: Senior AnalystBusiness Insights (Finance) Location: Bangalore Who are we and What do we do InMobi Groups mission is to power intelligent, mobile-first experiences for enterprises and consumers Its businesses across advertising, marketing, data, and content platforms are shaping consumer experience in a world of connected devices InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Companys 2018 Worlds Most Innovative Companies, Whats the InMobi family like Consistently featured among the ?Great Places to Work? in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused We invite you to free yourself, dream big and chase your passion, What do we promise We offer an opportunity to have an immediate impact on the company and our products The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training, and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays We even promise to let you bring your kids and pets to work, Why should you join us You will contribute to creating disruptive and innovative consumer experiences using technology We value autonomy, collaboration, technical innovation, and results-oriented thinking InMobis culture is all about rewarding excellence so there are fantastic opportunities for the right candidates! Finance BI team is part of FP&A and is responsible to upscale the organization towards data driven strategic decision making by adding the intelligence layer on top of this data to unlock the huge potential that the right analytics could provide This intelligence layer will be consumed towards unlocking productivity, realizing efficiencies, improving RoIe for our various Products, What will you be doing Partner with the Finance teams, understand their data needs, and build plans to address those with automated data solutions, Incorporate best practices for reporting, dashboards and scorecards, data visualization to ensure the data solutions are and remain relevant in filling the information gaps of the finance organization, Develop a strong understanding of the companys underlying business and technical challenges, translating them into long-term sustainable automated solutions that are applicable across business units, Maintain development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing modular and self-sustaining code, connecting disconnected datasets across all businesses and tools, Generate automated dashboards for consumption of Business and management that could summarize both performance and recommendations to enable direct actions, Collaborate with stakeholders across Business, Product, Tech, Finance and other functions to understand their financial data requirements and fulfill the same via automated dashboards, What are we looking for Bachelors/ Masters in a relevant field (e-g , Engineering, Business Administration, Statistics, Mathematics), Finance elective/ minor courses in academics will be an added advantage, 2+ years of overall work experience within a Tech/Consulting/Analytics industry 2+ years of work experience with SQL, Python, Advanced Excel and PowerBI, Should have developed and implemented analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution, Financial knowledge of accounting, financial statements and financial modeling, Knowledge of Anaplan Model builder will be an added advantage, Exceptional ability to collaborate with stakeholder to prioritize and align on cross-functional processes, Execution-driven and results-oriented to ensure strategy translates to outcomes, Explore data, find patterns in large seemingly disparate data sets, and develop solutions that add intelligence / insights and drive decision making for leaders, Quickly grasp external and internal ad tech nuances and leverage to meet business growth,

Business Insight Analyst Finance Domain Role & responsibilities Work with cross-functional teams to understand business objectives and define analytical requirements. Develop, optimize, and maintain complex SQL queries to extract, transform, and analyse large datasets. Translate data insights into meaningful business recommendations. Perform deep-dive analysis to identify trends, patterns, and business opportunities. Collaborate with stakeholders to develop data-driven reports, metrics, and KPIs . Create dashboards and visualizations (preferably Tableau) to track business performance. Support data validation, data governance, and process automation initiatives. Work with data engineering teams to improve data infrastructure and ensure data integrity. Present findings to stakeholders and leadership in a clear and concise manner. Pricing analytics to help develop key insights on Capex and Opex pricing Build Insights driven dashboards that would enable data backed decisions for our stakeholders and be an expert in advising on key data insights that needs to be actioned upon Preferred candidate profile 5 to 7 years of experience in business analysis, data analytics, or a related field . Strong SQL skills ability to write complex queries, optimize performance, and work with large datasets. Intermediate tableau working experience Experience working with relational databases (Eg: Snowflake,). Domain expertise in one of the fields Finance, Customer or Product Strong problem-solving and critical-thinking skills. Ability to translate business problems into data-driven solutions. Excellent communication and presentation skills. Strong stakeholder management and ability to work in a fast-paced environment. Experience in Go to market strategy, Marketing analytics

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do? You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for? Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Job Title : GN- SC&O - S&P -Spend Analytics- Data Visualization- BI - Consultant Management Level :09 – Consultant Location :Gurgaon Must have skills :Spend Analytics, Data Visualization Good to have skills :BI Tools (Power BI, Tableau) Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelor's degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred. About Our Company | Accenture Qualification Experience :5+ years of experience Educational Qualification :BE, BTech, MBA

Team handling Role - sales exprience must Key Responsibilities: Drive coaching and development of ROMs/RDMs to enhance performance. Engage in proactive problem-solving and deliver effective business solutions. Responsible for preparing insights, analytics, and recommended actions. Lead and drive execution of business initiatives in collaboration with stakeholders. Monitor and track productivity metrics and process adherence (KYC, AFP). Ensure the successful rollout of new ROMs/RDMs in the assigned zone. Drive process excellence and adherence to sales quality standards. Job Specification: High attention to detail. Strong ability to lead and coordinate across multiple teams. Excellent analytical and execution skills. Familiarity with sales quality processes and productivity metrics. Eligibility Criteria: Full-time employees who have completed a minimum of 6 months with company At least ME rating in the latest performance cycle. No history of any disciplinary action. Employees may apply for the same or one level higher than their current grade. Must have completed any previously approved transfers before applying for a new one. An employee can apply for only one role at a time.

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. ---- Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar) ---- Preferred Qualifications ---- Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

--- What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. ---- Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar) ---- Preferred Qualifications ---- Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills