Urgent Hiring with largest Indian NBFC, looking from Banking & NBFCPurpose of Job:The role of Data Analyst shall be to work on analyses and reporting for businesses to support key decisions at Mahindra Finance. Data Analysts will deliver strategic analyses for CXO / Business Head level stakeholders and lay the groundwork for key decisions in the company. Decisions made alone – Management/maintenance/bug fixes/ stakeholders management. All items requiring key architectural calls, investments, additional expense should be consulted with manager and above Responsibilities<ol><li>Shall be the specialist on Data Analytics vertical. Shall collaborate with business managers to solve their business-data-challenges and provide impactful insights</li><li>Shall deliver strategic analyses and participate in important business decisions</li><li>Shall interact with multiple members from client side by meeting them, interviewing them, taking data and processing it.</li><li>Shall create insights from data extracted from business units and convert them actionable recommendations</li><li>Shall be hands on with use of Data Science tools like Python, Azure Data Factory, SQL. Ability to self-process the data and come out with insights is a must.</li></ol><ul><li>Shall be able to apply techniques like Decision Trees, k-means clustering, etc. techniques to data problems.</li><li>marketing campaign effectiveness & enhancing customer experiences</li></ul>Knowledge· Python, SQL, Azure Data Factory, Knowledge of Tableau is a plus· Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible formatBasic understanding of loan process / finance business and/or Accounting is a plus QualificationsBachelor’s or Master’s Degree in Engineering (CS/EE/Math) or Management,Expertise in Data Science, ML, Math, programming experience

INSPIRE SUCCESSFUL DECISIONS Kantar’s Worldpanel division is searching for methodical and inquisitive Data Analysts to join our Global Data Modelling and Methodology Team. Based in India, this is an incredible opportunity to be part of our exciting vision for the future!This is a full-time, Contingent Worker role based in Mumbai. About usKantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies. Kantar’s 25,000 people based in more than 100 countries help the world’s leading organisations succeed and grow. Nobody knows people better than Kantar. We provide insight and inspiration to help our clients, our people and society to create and flourish in an extraordinary world. Our Worldpanel colleagues are the global experts in shopper behaviour, offering continuous monitoring, advanced analytics and tailored solutions to inspire successful decisions by leading organisations worldwide. Worldpanel turns purchase behaviour into a competitive advantage across a diverse range of markets including tech, fashion, telecoms and FMCG. WHAT'D BE ROLE'S MISSION:We’re currently looking for Data Analysts to join our global Data Modelling and Methodology team engaged in delivering a key global big data processing platform for Worldpanel – a key element of our business strategy. These newly established roles are related to data calculation – meaning designing new measures and Everyday Analytics Solutions (EDA) to enhance the benefits of Prism Factory & MyWorldpanel* all over the world. Our principal goal is to ensure we move to and continue to develop a globally consistent model of efficient and robust methodologies for the aggregation of data to our clients and commercial teams, and in order to do so, you’ll be encouraged to maintain a highly effective collaboration with all the Worldpanel business across the world. If you’re willing to go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in, apply for a career that’ll be out of the ordinary by joining us! *MyWorldPanel is a Kantar cloud-based platform, currently being deployed worldwide, to provide the most intuitive and efficient way to analyze shopper's behaviour data. WHAT'D YOU DO:<ul><li>Reporting to our Data Modelling and Methodology Director.</li><li>Responsible for defining and maintaining a consistent set of standards for methodological approaches and best practice sampling techniques.</li><li>Provide advice and consultancy on data methodology and sampling.</li><li>Ensure consistency in data calculation across the globe and create convergence whenever needed.</li><li>Responsible for methodologies specifications & testing (Measures & EDA).</li><li>Collaborate with statistical & data quality teams, Tech Development teams and the Platform owners Team to design improvements or new measures/EDA to MyWorldPanel.</li><li>Work with central Quality and Advanced Analytics teams to ensure methodology consistency.</li></ul> WHAT'D YOU BRING:<ul><li>University Degree (Bachelor’s or Master’s Degree) in Statistics/ Mathematics, or equivalent fields.</li><li>Business proficiency in English (B2 Level Minimum required).</li><li>Extensive applied understanding of statistical methods, data science and/or analytical modelling – with a broad knowledge base across the wider data analysis landscape.</li><li>Previous considerable programming experience with R is required.</li><li>Any knowledge or previous programming experience in Python or SAS – although not required, would be appreciated.</li><li>Prior working experience with panel, shopper or survey data would be advantageous.</li></ul> With the following qualities…<ul><li>Inquisitive, with critical thinking, and demonstrate a genuine passion for consumer behaviour.</li><li>Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.</li><li>Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.</li><li>Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.</li><li>Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.</li></ul> Join us! At Kantar, we want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.We also make sure we create an equality of opportunity in a fair and encouraging working environment where people feel included and accepted and are allowed to flourish in a space where their mental health and well-being are taken into consideration.

Job Responsibilities: Excellent problem solving and analytical skills - ability to develop hypotheses,understand and interpret data within the context of the product / business -solve problems and distill data into actionable recommendations.  Strong communication skills with the ability to confidently work with cross-functional teams across the globe and to present information to all levels of theorganization. Intellectual and analytical curiosity - initiative to dig into the why, what &amp; how. Strong number crunching and quantitative skills. Advanced knowledge of MS Excel and PowerPoint. Good hands on SQL Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools Understanding of Business analytics tools &amp; statistical programming languages - R, SAS, SPSS, Tableau is a plus Inherent interest in e-commerce &amp; marketplace technology platforms andbroadly in the consumer Internet &amp; mobile space. Previous experience of 1+ years working in a product company ina product analytics role Strong understanding of building and interpreting product funnels. Perquisites &amp; Benefits: Opportunity to work with India&#39;s no.1 crowdfunding platform Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges Competitive compensation and incentives Fun, casual, relaxed and flexible work environment

Scope of the role: We rely on powerfully insightful data to power our systems and solutions. Weʼre seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise youʼd expect, but a natural curiosity and creative mind thatʼs not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the dataʼs full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. Key Responsibilities: <ul><li>Collaborate with the strategy team to develop an understanding of the needs </li><li>Research and devise innovative statistical models for data analysis </li><li>Communicate findings to all stakeholders </li><li>Enable smarter business processes—and implement analytics for meaningful insights </li><li>Keep current with technology and industry developments </li><li> Daily and Monthly Responsibilities </li><li>Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products </li><li>Execute analytical experiments methodically to help solve various problems and make a true impact across various domains </li><li>Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables </li><li>Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy </li><li>Analyze data for trends and patterns, and Interpret data with a clear objective in mind </li><li>Implement analytical models into production by collaborating with software developers and machine learning engineers. </li><li>Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems </li></ul> Must-Haveʼs: <ul><li>Bachelorʼs degree in statistics, applied mathematics, or a related discipline </li><li>2+ years experience in data science </li><li>Proficiency in data mining, mathematics, and statistical analysis </li><li>Advanced pattern recognition and predictive modeling experience </li><li>Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) </li><li>Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects</li></ul>

About the Group:The RP-Sanjiv Goenka Group is a diversified conglomerate with interests across Energy (Power, Renewables, Chemicals), Consumer (retail, food services), Entertainment (media, music, sports) and technology businesses. The group overall has 15+ companies, 45,000+ employees with gross assets close to INR 40,355 Cr.The group has been growing at more than 20% p.a. for the last 5 years, and wishes to embark on an even more aggressive growth trajectory over the next 5-10 year horizon.The flagship companies include:<ul><li>Limited – A Fully Integrated Private Power Utility</li><li>Retail – India’s second largest food based retailer</li><li>Solutions – India’s Top 3 pure play BPO player</li><li>India – the biggest collection of Indian music</li><li>Carbon Black - India’s 2nd largest carbon black manufacturer</li><li>Malayalam – One of the largest plantation businesses in India</li></ul> Along with Spencer’s Retail and Saregama, the Group has also ventured into FMCG business recently through Guiltfree Industries Limited. It has also acquired another FMCG Company, Apricot Foods Private Limited. With strong profitability, robust balance sheets and deep cash reserves, the Group is looking to build a strong position in the consumer goods and retail space. As a group, RP-SG is committed to invest $3 Billion + additional capital over the next 4-5 years, primarily into the consumer and technology business. About the Org- Herbolab India Pvt LtdDr Vaidya’s is a new age Ayurvedic company that strives to bring the traditional, time-tested goodness of Ayurveda to 21st-century customers. Founded by the Vaidya family, whose expertise spans 150 years of Ayurvedic heritage, their formulations and knowledge for Ayurvedic Products have been passed down from generation to generation through dedicated practice. Today, the company owns 100+ FDA approved, proprietary formulations for Ayurvedic medicine. Products sold online (owned channel i.e. drvaidyas.com and third party channels i.e. Amazon, Nykaa, Netmeds, Medlife, Pharm easy etc.) as well as >500 offline stores (including Noble Plus, Twenty Four Seven etc.).Learn more on www.drvaidyas.com and www.rpsg.in Purpose: As a Senior Data Analyst at Dr Vaidya, you will play a critical role in transforming raw data into actionable insights. You will work closely with cross-functional teams to analyze data, develop reports, and provide strategic recommendations that will drive business growth and enhance our competitive edge. Responsibilities:<ul><li>Conduct in-depth data analysis to identify trends, patterns, anomalies, and insights that can inform strategic decisions.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.</li><li>Perform complex data analysis tasks, including data cleansing, aggregation, and visualization.</li><li>Develop and maintain advanced data models and analytical tools.</li><li>Create and automate reports and dashboards for key stakeholders.</li><li>Provide actionable recommendations based on data analysis.</li><li>Collaborate with IT teams to optimize data storage and retrieval processes.</li><li>Create and maintain reports and dashboards to track key performance indicators (KPIs).</li><li>Collaborate with business stakeholders to understand their data needs and provide data-driven insights.</li><li>Design and execute A/B tests to evaluate the effectiveness of business strategies.</li><li>Develop predictive and prescriptive models to support decision-making.</li><li>Mentor and provide guidance to junior analysts.</li><li>Stay up to date with industry trends and emerging technologies in data analysis.</li></ul> Qualification:Bachelor’s or master’s degree in a relevant field (e.g., Statistics, Data Science, Computer Science) Work Experience & Key Competencies: <ul><li>Proven experience of minimum 3 years as a Data Analyst or similar role.</li><li>Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc.</li><li>Strong understanding of statistical analysis and data visualization techniques.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Solid knowledge of database management systems (SQL, NoSQL).</li><li>Excellent problem-solving and critical-thinking skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and meet tight deadlines.</li><li>Attention to detail and a passion for data accuracy.</li><li>Experience with machine learning and predictive analytics is a plus.</li></ul>

Job DescriptionData Analyst Description:The data analyst role involves analysis of review and analysis of data from new sources onboarded to master data products, analysis of data within data products for data quality, and other ad hoc data analysis for supporting development, maintenance, and innovation related to our data operations. The data analyst will closely work with business and technical teams to design, develop, execute data analysis, document and present data analysis results.Core Requirements:<ul><li>Has a Computer Science or numerate degree.</li><li>2 year of SQL or Python experience working in a professional environment.</li><li>Database design using normalisation techniques.</li><li>Has used a reporting tool like Tableau or Power BI.</li><li>Is very experienced at using MS Excel for data modelling.</li><li>Experienced in designing Entity Relationship Diagrams.</li><li>Experienced at resolving data quality issues.</li><li>Has worked in an Agile environment (using Jira or Azure DevOps or other agile technologies).</li><li>Worked on internal stakeholder or customer projects.</li><li>Must be a team player.</li><li>Must be a strong problem solver. </li></ul>QualificationsThe following are preferred requirements:<ul><li>Knowledge of statistical techniques to understand data.</li><li>Knowledge of machine learning or AI.</li><li>Knowledge of either Python, R, Julia or Excel Macros.</li></ul>

About Us:We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence in 3 countries (India, MENA, and UK) with 15 + brands and 3500+ internet restaurants has been built on a simple system - The Rebel Operating Model.While for us it is still Day 1, we know we are in the middle of a revolution towards creating never-seen-before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core. The Rebel CultureFinally, but most importantly, Rebel is not a usual workplace. The following slides will give you a sense of our culture, how Rebel conducts itself and who will fit into the company. Please go through it before you make up your mind. It’s not everyone’s cup of tea. https://www.slideshare.net/JaydeepBarman/culture-rebel The Role:<ul><li>Understanding Business and Data Requirements from stakeholders</li><li>Creating Business Reports</li><li>Report Automation</li><li>Creating Dashboards/Visualizations for Business KPIs</li><li>Data Mining for Business Insights</li><li>Initiatives based on business needs and requirements</li><li>Evaluating business processes, uncovering areas of improvement, optimizing strategies and implementing solutions</li><li>Problem-solving skills</li></ul> Requirements:<ul><li>Acquire, aggregate, restructure, and analyze large datasets.</li><li>Ability to work with various SQL and No-SQL data sources, S3, APIs etc.</li><li>Data manipulation experience with Python/Pandas</li><li>Exhibit strong analytic, technical, trouble-shooting, and problem-solving skills</li><li>Ability to work in a team-oriented, fast-paced environment managing multiple</li><li>priorities</li><li>Project management and organizational skills</li><li>Good to know: predictive modelling</li><li>Able to work on AWS cloud (S3, batch jobs, cloud watch)</li><li>Used Jenkins and Docker for CI CD</li></ul> Languages - SQL, Python (Pandas)BI Tools - Quicksight/Tableau Unique Opportunity <ul><li>Get a chance to work on Deep Analytics systems built on large amounts of multi-source data around orders, customers, sales, kitchen systems, etc. </li><li>Empower business decision-making of every team at Rebel across supply, demand, offer optimization, personalization and customer experience</li><li>Get a chance to improve Data Science & Machine Learning performance by creating the right visibility around model performance & feature enhancements</li></ul>

Company DescriptionQuilytics is committed to help enterprises grow their business value through a powerful combination of quality and analytics. Quilytics is a data analytics solutions provider for enterprises, helping businesses make data-driven decisions. Our services include Supply Chain Analytics. Marketing Analytics, Business Analytics, Website Analytics, and automated sales reporting. We use machine learning techniques to predict business performance and are at the forefront of the AI revolution. Role DescriptionQuilytics is seeking a talented and experienced Data Analyst to join our team in Mumbai and support our clients in leveraging data for strategic decision-making. The ideal candidate will have a strong background in SAP, data analytics, data integration, data visualization and predictive modeling, with a focus on supply-demand analytics. You will be responsible for creating and managing the end-to-end data pipeline from data acquisition, data storage to data transformation. Job Description<ul><li>Collect data from multiple systems like SAP, Oracle Netsuite, Coupa using SQL/PLSQL</li><li>Design and develop a centralized system to help business units with their data reporting.</li><li>Design and develop dashboards and visualization using platforms like Looker studio, Power BI, Jupyter notebooks and MS Excel</li><li>Work closely with business stakeholders and external service providers on a wide range of topics that require SAP SD expertise, including business requirements analysis, issue troubleshooting, root-cause analysis, business process optimization, integration topics, cross-functional projects, end-user training, translating requirements into technical solutions, and providing cost-benefit analysis and estimates.</li><li> Collect, clean, and structure logistics and supply chain data from various sources, ensuring data integrity and quality.</li><li>Define, track, and analyze critical supply chain metrics (i.e., on-time delivery, inventory levels, transportation costs, demand forecast accuracy), identifying areas for improvement.</li><li> Conduct in-depth analysis to pinpoint the root causes of supply chain inefficiencies, bottlenecks, or cost drivers.</li><li>Develop models to enhance demand forecasting, optimize inventory allocation, improve route planning, or streamline other supply chain processes.</li><li>Partner with teams across logistics, procurement, sales, and operations to understand their data needs and drive data-informed decision-making.</li><li>Conduct rapid assessments of business processes, supply chain performance through industry benchmarking, and quantitative analysis, and drive re-architecting as needed.</li><li>Design mathematical models using commercial and proprietary modeling tools to answer strategic and tactical business questions.</li></ul> Qualifications<ul><li>Bachelor's degree or higher in Data Science, Computer Science, Information Technology, or a related field</li><li>2+ years of experience in data analysis, visualization, automation and data engineering.</li><li>Preliminary Experience with data technologies such as SAP, Oracle Netasuite, Google Cloud, Microsoft Azure, AWS, Snowflake or similar</li><li>Experience with ETL tools such as Fivetran,Talend, Informatica, and Airflow or similar</li><li>Experience with databases such as MySQL, SQL Server, and Oracle or similar</li><li>Experience with data visualization tools such as Looker studio, Tableau, Power BI, and QlikView or similar</li><li>Strong proficiency in Python libraries and SQL</li><li>Excellent communication and collaboration skills and excellent analytical and problem-solving skills</li><li>Ability to work well under pressure and meet deadlines in a fast-paced environment</li><li>Additional certification in relevant domains such as supply chain management is beneficial</li></ul>

Urgent Hiring with largest Indian NBFC, looking from Banking & NBFCPurpose of Job:The role of Data Analyst shall be to work on analyses and reporting for businesses to support key decisions at Mahindra Finance. Data Analysts will deliver strategic analyses for CXO / Business Head level stakeholders and lay the groundwork for key decisions in the company.Responsibilities<ol><li>Shall be the specialist on Data Analytics vertical. Shall collaborate with business managers to solve their business-data-challenges and provide impactful insights</li><li>Shall deliver strategic analyses and participate in important business decisions</li><li>Shall interact with multiple members from client side by meeting them, interviewing them, taking data and processing it.</li><li>Shall create insights from data extracted from business units and convert them actionable recommendations</li><li>Shall be hands on with use of Data Science tools like Python, Azure Data Factory, SQL. Ability to self-process the data and come out with insights is a must.</li></ol><ul><li>Shall be able to apply techniques like Decision Trees, k-means clustering, etc. techniques to data problems.</li><li>marketing campaign effectiveness & enhancing customer experiences</li></ul>Knowledge· Python, SQL, Azure Data Factory, Knowledge of Tableau is a plus· Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible formatBasic understanding of loan process / finance business and/or Accounting is a plusQualifications· Bachelor’s or Master’s Degree in Engineering (CS/EE/Math) or Management,Expertise in Data Science, ML, Math· 3+ years’ programming experience· 2+ years’ experience as a data analyst or data engineer· MBA is a plus

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