OverviewKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Role - HR Analytics Location - Mumbai Role & Responsibilities:<ol><li>The incumbent will be responsible to transform HR Data into actionable insights that drive strategic HR decisions & improve organizational success. Designing and implementing comprehensive people analytics strategies to support various sub functions within HR.</li><li>This role involves developing HR metrics, producing statistical and predictive models, and identifying trends to improve HR processes and outcomes.</li><li>Led the development and maintenance of People Analytics Dashboards, providing comprehensive insights into various stages of the employee lifecycle.</li><li>Design and build a suite of standard and custom reports for HR and business leaders.</li><li>Crafting improved ways of visualizing insights gained from complex organizational and</li></ol><ul><li>people data.</li></ul><ol><li>Collaborating with HR business partners and stakeholders to understand business needs and requirements, translating them into actionable analytics solutions and recommendations.</li></ol> THE INDIVIDUAL:<ol><li>Proven experience in HR analytics or a similar role, with a strong background in data analysis and HR reporting.</li><li>Skilled in advanced statistical analysis, predictive modelling, and data visualization techniques to uncover actionable insights and drive continuous improvement.</li><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.</li><li>Knowledge of industry trends and best practices in HR analytics.</li></ol> Interested applicants can fill below form -https://forms.office.com/e/uNZut9jjJb Kindly note only relevant candidates will be contacted . “KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. As an equal opportunity employer, KPMG is committed to fostering a culture where everyone feels welcomed and is treated fairly. If you have any reasonable accessibility or accommodation requirement that will make you more comfortable during the assessment and recruitment process, please let us know and our Talent Acquisition colleague will connect with you.”

Job Summary: We are looking for a highly skilled Data Analyst to join our team. This role requires a professional with expertise in data extraction, organization analysis, and presentation, focused on user acquisition, registration, deposits, user engagement and retention. The ideal candidate will use their technical expertise to ensure data accuracy, quality and organization to drive meaningful insights, helping our business make better decisions. Experience in real money gaming/learning apps is an advantage. Key Responsibilities:<ul><li>Data Extraction and Management:</li><li>Utilize automated tools and SQL queries to extract data from primary and secondary sources</li><li>Identify, clean and correct corrupted data, coding errors and other data quality issues</li><li>Develop, maintain and reorganize data systems and databases to ensure readability and accessibility</li><li>Data Analysis and Quality Assessment:</li><li>Conduct analysis to evaluate data quality and extract meaningful insights</li><li>Apply statistical tools to interpret complex data sets, identifying trends and patterns valuable for business diagnostics and forecasting</li><li>Filter data and review performance indicators, addressing code and data problems as needed</li><li>Trend Analysis and Reporting:</li><li>Use statistical analysis to assign numerical values to key business functions, allowing assessment and comparison of business performance over time</li><li>Analyse local, national and global industry trends, with implications for the business and its competitive environment</li><li>Prepare reports for management, summarizing key trends, patterns and predictions using relevant data</li><li>Collaboration and Strategy Development:</li><li>Work closely with programmers, engineers and management to identify process improvement opportunities and system modifications</li><li>Develop and implement data governance strategies</li><li>Provide stakeholders with clear analysis reports and data-driven recommendations for decision-making</li></ul> Required Skills and Qualifications:<ul><li>Educational Background:</li><li>Bachelor's degree in a relevant field; an MBA is a plus</li><li>3+ years of relevant experience in data analysis</li><li>Technical Skills:</li><li>Proficiency in data cleaning and preparation, including error removal, outlier identification and data transformation</li><li>Strong statistical skills with knowledge of tests and tools, such as mean, median, variance, standard deviation, correlation, regression and hypothesis testing</li><li>Proficiency in programming languages such as R and Python</li><li>Expertise in SQL for data extraction and knowledge of database systems like MySQL, PostgreSQL, Oracle or MS SQL</li><li>Experience creating interactive dashboards and reports using tools like Tableau, Power BI and Microsoft Word</li></ul> Other Requirements:<ul><li>A proactive, problem-solving attitude with a focus on achieving team goals</li><li>Strong analytical, organizational and communication skills</li></ul>

Pluxee is a global player in employee benefits and engagement that operates in 31 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits. Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants. Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet. ???? Your next challenge:The Data Analyst works closely with Business Teams to help decision takingWhat you’ll be doing:<ul><li>Business needs collection and challenge.</li><li>Operational Report and Dashboard (Power BI).</li><li>Ad-hoc analysis leveraging statistical modelling techniques with R or Python.</li><li>Business performance analysis with relevant KPI definition and computation.</li><li>Study results presentation and communication to Business Team.</li></ul> Leveraging a solid background in Statistics, the Data Analyst will formalize Business Issues as Data models and Data Visualization:<ul><li>Seasonal adjustment on time series.</li><li>Regression models (OLS / Logistic).</li><li>Control Groups definition (sampling).</li><li>Advanced Data management / encoding.</li></ul> ???? You’re a match: <ul><li>At least 2 years working in similar position.</li><li>Previous experience with Business intelligence solutions.</li><li>Strong verbal and written communication skills.</li></ul> ????Education Requirements:Master’s degree in Statistics, Advanced Analytics or equivalent. Languages:<ul><li>Very good communication in English.</li></ul> Competencies:<ul><li>Attention to Detail (Competent)</li><li>Builds effective teams (Competent)</li><li>Communication (Competent)</li><li>Data Analysis (Competent)</li><li>Database Administration (Competent)</li><li>Data Quality (Competent)</li><li>Data Visualization (Competent)</li><li>Problem-Solving (Competent)</li><li>Programming Skills (Competent)</li></ul> ???? To get this challenge: • Video call or face to face discussion with Hiring Manager.• Video call or face to face discussion with Chief Data officer & VP - IT & Payments - AMETA.• Video call or face to face with Global HRBP. ???? Your teamData Hub & Spoke ???? Your locationMumbai, IN ☀️ Happy at work1) A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to make a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies.2) A great culture: People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun!3) An empowering environment: Be yourself! At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive work place where all abilities are celebrated, and equal learning and growing opportunities are a given

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Job Description:As a Data Analyst, you will play a crucial role in interpreting complex data sets in xls, uncovering insights, and providing actionable recommendations to drive strategic decisions<ul><li>Data Extraction and Transformation: Extract, clean, and transform data from various sources to ensure accuracy and consistency.</li><li>Collaborate with teams to streamline data collection processes</li><li>Performance Analytics: Analyze fitness program performance metrics, attendance data, and member engagement.</li><li>Identify trends and patterns to inform decision-making on program offerings and scheduling.</li><li>Data Visualization: Create visually appealing and insightful dashboards and reports.</li><li>Communicate data findings to non-technical stakeholders in a clear and understandable manner.</li><li>Ad-Hoc Analysis: Respond to ad-hoc data analysis requests from various departments.</li><li>Provide timely and accurate insights to support decision-making.</li><li>Quality Assurance: Implement data quality checks to ensure accuracy and reliability.</li><li>Identify and rectify data anomalies or discrepancies.</li><li>Collaboration with Teams: Work closely with the different teams</li><li>Excellent communication skills with the ability to convey complex findings to a non-technical audience</li><li>Detail-Oriented: Strong attention to detail and commitment to data accuracy</li></ul>Skills Requirements:<ul><li>Multi-tasking</li><li>Excellent in technical aspects</li><li>Collaborator</li><li>Team player</li><li>Exceptional excel skills and interpretation of data</li></ul>Contact Person: Ami Soni (unitedk@uhr.co.in)

Responsibilities. Location- Airoli. Company URL- www. Gep.com Shift timings- 4pm-1 am; 6pm-3 am Experience- 1.5+ years. Job Description-<ul><li>Data Analyst with experience in the field of analytics and visualization</li><li>Managing the planning and development of design and procedures for metrics reports.</li><li>Expert at data and design solutions that provide high performance visuals.</li><li>Developing, maintaining, and managing advanced reporting, analytics.</li><li>Performing and documenting data analysis, data validation, and data mapping/design.</li><li>Proficient in analytical tools like PowerBI, etc.</li></ul> Qualifications <ul><li>Bachelor's or master's degree </li><li>1 - 2 years' Data Analysis experience.</li></ul> Interested candidates can apply on the post. Mode of interviews- Personal interview.

Job Title: Data Analyst Associate – Data ManagementLocation: Mumbai, IndiaExperience: 5+ YearsCompany: Wissen Technology About Us:Wissen Technology is a leading technology and consulting firm known for its strong commitment to excellence, innovation, and customer satisfaction. We are passionate about harnessing data to drive smart business decisions and deliver impactful insights. Join us in shaping the future of data management. Role Overview:We are looking for a meticulous and proactive Data Analyst Associate - Data Management to join our team. This role requires a keen attention to detail, solid organizational skills, and a foundational knowledge of the asset management industry. You will support data analysis, management, and reporting initiatives, focusing on ensuring accuracy, efficiency, and improved decision-making processes. Key Responsibilities:<ul><li>Data Management: Support data integrity and accuracy across various data systems; handle data extraction, transformation, and loading (ETL) processes.</li><li>Analysis & Reporting: Generate insightful reports and conduct data analysis, utilizing Microsoft Excel and Business Objects; provide data support for decision-making processes.</li><li>Collaboration: Engage with global business areas, provide data-related support, and actively participate in relevant meetings.</li><li>Documentation & Communication: Document data management procedures, contribute to data governance practices and effectively communicate findings with team members and stakeholders.</li><li>Process Improvement: Identify and implement improvements in data operations to enhance efficiency and effectiveness.</li><li>Technical Proficiency: Utilize data management tools and develop insights using BI reporting tools, including Tableau or Power BI; familiarity with Python is a plus.</li></ul> Qualifications:<ul><li>Education: BTech / BE / MTech / MCA or any related field</li><li>5+ Years of experience in the field</li><li>Industry Knowledge: Basic understanding of the asset management industry and data management practices.</li><li>Technical Skills: Proficiency in Microsoft Excel, with foundational knowledge of Microsoft Access and Business Objects. Knowledge of BI reporting tools (Tableau, Power BI) is preferred, and Python skills are a plus.</li><li>Communication Skills: Strong written and verbal communication abilities, with a focus on customer service and responsiveness.</li><li>Organizational Skills: Strong multitasking, prioritization, and time management skills; attention to detail is essential.</li><li>Project Management: Ability to coordinate and manage project tasks effectively, meeting deadlines with minimal supervision.</li></ul> Why Join Wissen Technology?<ul><li>Opportunity to be part of a growing team focused on data-driven innovation and quality.</li><li>Exposure to global clients and complex data management projects.</li><li>Competitive benefits, including health coverage, paid time off, and a collaborative work environment.</li></ul> We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

About us/Company overview: mCaffeine is India's 1st caffeinated personal care brand with an exciting range of Caffeinated products for young and aspiring millennials. We believe in Confidence over all skin & body biases. Redefining the age-old notions of beauty associated with colour, we never sell insecurities. We have vowed not to make fairness products. At mCaffeine beauty has no colour or gender. It's about you. You are a revolution, a culture, a routine, a high, and essentially now - a Lifestyle. You are Bold, Young and Confident. Come, join the pack! Job Summary:We are looking for a highly motivated Supply Chain Data Analyst. This role involves collecting, analyzing, and interpreting supply chain data to identify trends, patterns, and opportunities for improvement. The Supply Chain Data Analyst collaborates closely with cross-functional teams including supply chain management, operations, logistics, procurement, etc to drive data-informed decision-making and enhance overall supply chain performance. Responsibilities:<ul><li>Data Collection: Gather, organize, and clean data from various sources including databases, spreadsheets, and external sources to ensure accuracy and completeness.</li></ul> <ul><li>Performance Monitoring: Develop key performance indicators (KPIs) and dashboards to monitor supply chain performance metrics such as inventory levels and utilisations, Fill rates, lead times, and supply chain costs. Track performance against targets and identify areas for optimization.</li></ul> <ul><li>Reporting and Visualization: Prepare and present clear, concise reports and visualizations to communicate findings, insights, and recommendations to stakeholders at various organizational levels. Develop interactive dashboards to enable self-service analytics and facilitate data-driven decision-making.</li></ul> Qualifications:<ul><li>Bachelor's degree in Supply Chain Management, Logistics, Operations Research, Data Science, Computer Science, or a related field.</li><li>Proficiency in data manipulation and visualization tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Excel, Python, SQL).</li><li>Knowledge of supply chain and logistics processes is a plus.</li><li>Attention to detail and a commitment to data accuracy and integrity.</li><li>Ability to work independently, manage multiple priorities, and meet deadlines in a fast-paced environment.</li></ul> Social Media handles: Website - https://www.mcaffeine.com/pages/about-us LinkedIn - https://www.linkedin.com/company/mcaffeine/mycompany/ Instagram - https://www.instagram.com/mcaffeineofficial/ Contact us: Careers – career@mcaffeine.com

Job Title-Senior Data AnalystLocation of Work- BKC, Mumbai The candidate would work as a Senior Data Analyst in the Hyper-Personalization team of IDFC First Bank. Responsibilities include -· Work towards maximization of customer conversions and engagement through analysis of past campaigns and improvement of future Marketing Communications to customers.· Provide Analytics driven Insights to create and enhance campaign performance, work with campaign team to coordinate on insight to action, enabling better performance of the overall marketing analytics stack· Create POC's of new ideas, scale them into solutions, able to drive the team with technology, automation, and bring in new ideas· Using statistical tools to identify, analyze and interpret patterns and trends for diagnosis and prediction· Coordinating with Data Engineering, Campaign management, and MarTech teams to ensure detailed analysis of Marketing performance.· Setup process efficiencies in data analysis, mentor junior data analysts Qualifications -· B.Tech / M.Tech / M.Sc. in Quantitative fields· 5+ year work experience as Data Analyst/Scientist. Banking domain knowledge is mandatory· Experience as an Analytics Manager or Data Scientist with prior experience of leading or mentoring people, experience in Marketing/Campaign Analytics desirable· Hands on experience of SQL, Python/SAS/R, Excel, and PowerPoint. Knowledge of visualization tools is a plus· Hands on knowledge of Statistical/ML methods of Regression, Segmentation, Decision Trees· Methodical and logical approach to problem solving· Strong Communication skills, Organizational abilities, and Stakeholder Management

Role DescriptionThis is a full-time role as a Data Analyst at TopN Analytics. The role is based in Mumbai with flexibility for hybrid WFH/WFO. The Data Analyst will be responsible for day-to-day tasks such as data analytics, statistical analysis, communication of insights, data modeling, and more. ** Strong SQL & Visualization skills are mandatory ** About the CompanyTopN Analytics is dedicated to helping organizations achieve their ambitions through data-driven decision-making. Specializing in Big Data Analytics, Advanced Business Analytics, and various other data-related services, we assist businesses in accelerating growth through analytics capabilities. Whether it's enhancing sales, improving customer retention, or making informed business decisions, we provide the tools for success. Qualifications<ul><li>2-3 years of relevant experience in business analytics, data science, or related field</li><li>Strong expertise with SQL (mandatory)</li><li>Good Experience with data visualization tools such as Tableau or Power BI or Google Data Studio</li><li>Strong Analytical Skills, Data Analytics, and Statistics knowledge</li><li>Excellent Communication skills to effectively convey insights to stakeholders</li><li>Strong problem-solving and critical thinking abilities</li><li>Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science)</li><li>Experience with programming languages such as Python or R is a plus</li><li>Experience in an analytics service-based company is a plus</li></ul> Apart from this job, if you'd like to be contacted for future work opportunities, consider filling this form: https://forms.gle/6UhxhozqWG56H5e89

Job Description - Data Analyst Company Overview :The Goodfellows is a for-profit dynamic startup on a mission to providecompanionship to senior citizens by pairing them with young empatheticgraduates. At the heart of our mission is the belief that a ‘Goodfellow’ doeseverything that a grandkid would do. Our goal is to make a real difference in thelives of seniors by offering the care and attention they deserve. We are lookingfor a skilled Data Analyst to manage and analyze our data, helping us makeinformed decisions and enhance the experience for both seniors andGoodfellows. Job Details :Location - Fort, MumbaiWorking Days & Hours - Monday to Saturday, 10 AM to 6 PM. Key Responsibilities :-Manage and maintain the company’s databases, ensuring accuracy, security,and accessibility of all data.-Collect, clean, and organize data from various sources, including clientinteractions, call records, feedback forms, and financial data.-Analyze data to provide actionable insights into client behavior, operationalefficiency, and service improvements.-Develop reports and dashboards for different teams (operations, finance,marketing) to track key performance metrics.-Collaborate with the leadership team to identify trends, opportunities, and areasfor improvement.-Assist in implementing data-driven decision-making processes throughout theorganization.-Ensure compliance with data privacy regulations and best practices for datasecurity.-Continuously refine and improve data collection and analysis processes tosupport business growth. Skills and Qualifications :-Experience in data analysis, database management, or a related field.-Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).-Strong analytical skills with the ability to interpret data and provide insights thatdrive business decisions.-Experience with data cleaning, organizing, and maintaining large datasets.-Knowledge of data privacy laws and best practices in data management.-Excellent attention to detail and strong problem-solving skills.-Ability to work independently and collaborate with cross-functional teams.-Experience in the senior care, healthcare, or social impact sectors is a plus butnot required. To Apply :Send your resume and a brief cover letter to careers@thegoodfellows.in<ul><li>We look forward to hearing from you!</li></ul>

Data Analyst Jobs in Mumbai, Maharashtra

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Quick filters

Top companies

Data Analyst Jobs in Mumbai, Maharashtra

Kpmg India Hr Analytics Manager Associate DirectorNovember 17, 2024

Data AnalystNovember 16, 2024

Data AnalystNovember 15, 2024

Data AnalystNovember 15, 2024

Data AnalystNovember 13, 2024

Data AnalystNovember 13, 2024

Data AnalystNovember 10, 2024

Senior Data AnalystNovember 7, 2024

Data AnalystNovember 6, 2024

Data AnalystOctober 26, 2024

Quick filters

Top companies

Kpmg India Hr Analytics Manager Associate Director
November 17, 2024

Data Analyst
November 16, 2024

Data Analyst
November 15, 2024

Data Analyst
November 15, 2024

Data Analyst
November 13, 2024

Data Analyst
November 13, 2024

Data Analyst
November 10, 2024

Senior Data Analyst
November 7, 2024

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November 6, 2024

Data Analyst
October 26, 2024