916 Data Analyst Jobs - Page 5

Role: Junior Data Analyst Who Are We BimaKavach is reimagining how Indian businesses access protection with technology, speed, and simplicity at the core of everything we do. We proudly serve 3,000+ companies, including names like BSNL, Daikin, The Whole Truth, and CleverTap , and are backed by top investors like Waterbridge, Blume, Arali, and Eximius. Our missionTo safeguard every Indian business by 2047. Our mindsetBold, fast-moving, and customer-obsessed. Join us at BimaKavach and be part of a once-in-a-generation opportunity to reshape how insurance works for millions of businesses. Bring your expertise, curiosity, and ambition and help build the future of SME insurance in India. Job Overview: The Data Analyst at BimaKavach transforms data into actionable insights for strategic decision-making. You will design and maintain MIS reports and dashboards to visualize key business metrics and trends. Collaborating across teams, youll ensure data accuracy and deliver insightful analyses to support our mission of safeguarding Indian businesses. Key Responsibilities: Design, update, and maintain MIS reports to track key business metrics. Collaborate with teams across departments to understand data requirements and deliver insights. Create and maintain dashboards using available tools to visualize performance, trends, and outcomes. Ensure data accuracy, consistency, and integrity in all reporting processes. Support ad-hoc data analysis requests from internal stakeholders. Skills & Qualifications: Proficient in Microsoft Excel Good communication skills to liaise effectively across teams Strong analytical and problem-solving skills Exposure to SQL or scripting languages (e.g., Python, R) is an added advantage but not mandatory 1-3 years of experience Key Details: Joining : ASAP Compensation: Market competitive pay along with a variable performance-based component Location: Indore/Bangalore.

Hiring for a leading MNC for position of Data Analyst , based at Kharadi (Pune) Designation : Data Analyst (Contingent Role) Shift Timing : 12 PM to 9 PM (Cab Facility Provided) Work Mode: Work from Office Associate Data Analyst Job Summary: As an Associate Data Analyst, you will play a crucial role in transforming raw data into actionable insights that drive business decisions. You will be responsible for supporting the data analysis lifecycle, from data collection and cleaning to reporting. This is an excellent opportunity for an entry-level professional to develop their skills in a fast-paced, collaborative environment. Key Responsibilities: Data Collection & Preparation: Gather and extract data from various sources (e.g., databases, spreadsheets, APIs, SAP, ERPs). Clean, validate, and manipulate data to ensure accuracy, completeness, and consistency. Assist in maintaining and updating databases and data systems. Collaboration & Communication: Work closely with cross-functional teams (e.g., Supply chain Operations) to understand their data needs and provide data-driven recommendations. Document analytical processes, methodologies, and findings. Participate in team meetings to discuss project status and new opportunities. Required Skills & Qualifications: Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Proficiency in SQL and Snowflake for data querying and manipulation. Proficiency in in Azure Data Factor Strong analytical, problem-solving, and critical-thinking skills. Experience with data cleaning, validation, and preparation techniques. Familiarity with data visualization tools (e.g. Power BI) is a plus. Excellent written and verbal communication skills with the ability to present complex information clearly. Detail-oriented with a high degree of accuracy.

Title: Senior Data Analyst Location: Vashi, Navi Mumbai Roles & Responsibilities: Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals. Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors. Partner with quality assurance, products, and technical departments to resolve clients data issues timely and effectively. Participate in the initiatives focused on consolidating global data collection platforms and supporting database integration projects. Establish and achieve the set Objectives & Key Results (OKRs) with the direction of team lead. Monitor, analyze and execute summary reports including an investigation of potential data error to continuously improve data collection and quality assurance process using Lean Six Sigma tools. Actively discover and raise issues in work (including system, process, and collection methodology) and propose enhancement suggestions to further improve system functionality, process efficiency and data quality. Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc. Facilitate cross-team projects to implement approved solutions based on priority and impact. Demonstrate a high sense of ownership of the process, understand roles & responsibilities by acting as a process trainer and mentor Requirements: > 3 years experience in finance domain, with emphasis on collection systems and methodologies, senior data research analyst role or above. ESG experience is desirable and would be an added advantage Good command in MS Office (Excel, PowerPoint etc.); advanced users preferred. SQL, Macro or Python and machine learning will be a plus. Should be critical thinker and should possess good communication skill. Should be equipped with understanding of data competencies like data content expertise, data analysis etc. Strong analytical, problem-solving capabilities, and excellent communication written as well as verbal & reporting skills. Should be a good team player with good learning ability and equipped with self-motivation in an independent, fast-paced work environment. Ability to exercise control over the planned activities like training / mentoring new hires, doing quality checks etc. Able to work under tight deadlines and handle pressure during peak seasons. Good project management skills with proven track record of working on and delivering projects independently. Remote team working experience is a plus. Flexibility to work in shifts. Morningstar s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We ve found that we re at our best when we re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Role : Senior Data Analyst Team: Morningstar s Research group provides independent analysis on individual securities, managed investments, portfolios, and markets. The group also collects and maintains high-quality data on the equities, managed investments, and fixed-income investments we cover in our database, one of the largest investment databases in the world. Morningstar is one of the largest independent sources of manager, equity, and credit research in the world. We transform data into insights that investors can use to reach their financial goals. Role : As a Senior Data Research Analyst, will work on collecting performance data from various sources. You will adhere to the company goals, policies , and procedures and work in a focused manner to achieve the overall objectives . You will be responsible for , with the help of leaders, ensuring and improving the performance, productivity and efficiency , and the delivery of the operational performance KPIs. You will effectively manage your performance and development to support our continuous operational success. Shift: UK/US Responsibilities : Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals. Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors. Partner with quality assurance, products, and technical departments to resolve clients data issues timely and effectively. Participate in the initiatives focused on consolidating global data collection platforms and supporting database integration projects. Establish and achieve the set Objectives & Key Results (OKRs) with the direction of team lead. Monitor, analyze and execute summary reports including an investigation of potential data errors to continuously improve data collection and quality assurance process using Lean Six Sigma tools. Actively discover and raise issues in work (including system, process, and collection methodology ) and propose enhancement suggestions to further improve system functionality, process efficiency and data quality. Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc. Facilitate cross-team projects to implement approved solutions based on priority and impact. Demonstrate a high sense of ownership of the process, understand roles & responsibilities by acting as a process trainer and mentor Qualifications : > 3 years experience in finance domain, with emphasis on collection systems and methodologies, senior data research analyst role or above. Fund Data experience would be preferred Good command of MS Office (Excel, PowerPoint etc.); advanced users preferred. SQL, or Python and exposure to AI / ML will be a plus. Should be a critical thinker and should possess good communication skills. Should be equipped with understanding of data competencies like data content expertise , data analysis etc. Strong analytical, problem-solving capabilities, and excellent written communication as well as verbal & reporting skills. Should be a good team player with good learning ability and equipped with self-motivation in an independent, fast-paced work environment. Ability to exercise control over the planned activities like training / mentoring new hires, doing quality checks etc. Able to work under tight deadlines and handle pressure during peak seasons. Good project management skills with proven track record of working on and delivering projects independently. Flexibility to work in shifts. Morningstar is an equal opportunity employer. Morningstar s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We ve found that we re at our best when we re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Job_Description":" About the Role: As a Manager (Amazon), your role will include revitalizing our E-Commerce, driving engagement, building impactful collaborations, and refining content strategy. Functional Parameters: PPC & Advertising Management: \uF076 Lead the PPC & advertising Team \uF076 Develop strategies, set performance KPIs, optimize resources, and continuously refine campaigns. \uF076 Develop, implement, and optimize Amazon PPC campaigns (Sponsored Products, Sponsored Brands, Sponsored Display, and DSP). \uF076 Set performance KPIs (ACoS, ROAS, TACoS) and continuously refine ad strategies to maximize profitability. \uF076 Perform bid optimization, keyword research, and audience segmentation for better targeting. \uF076 Work closely with the Data Analyst Team to track campaign effectiveness and adjust strategies accordingly. \uF076 A/B test ad creatives, product titles, and descriptions to improve conversions. Data Analysis & Performance Monitoring: \uF076 Lead the Data Analyst Team to track sales trends, advertising performance, and competitive benchmarks. \uF076 Use data insights to guide advertising spend, pricing strategy, and inventory planning. \uF076 Implement automation and AI tools to optimize PPC campaigns dynamically. \uF076 Create weekly and monthly reports on PPC performance and growth strategies. Time-to-Market Strategy & Product Launches: \uF076 Oversee the Time-to-Market Team to ensure timely and successful product launches on Amazon. \uF076 Align marketing strategies with product launch timelines for maximum visibility and sales. \uF076 Coordinate with the supply chain and logistics teams to ensure stock availability before launching campaigns. \uF076 Plan pre-launch, launch, and post-launch PPC strategies for new products. Listing & Conversion Optimization: \uF076 Manage the Listing Team create listing and optimize product titles, bullet points, descriptions, and A+ Content for better rankings. \uF076 Work on keyword research and SEO strategies to improve organic visibility. \uF076 Ensure brand consistency, enhanced brand content, and engaging product images to boost conversion rates. \uF076 Collaborate with the creative team for compelling product videos and lifestyle images. Cross-Team Collaboration & Leadership: \uF076 Lead, mentor, and train team members across PPC, data analytics, time-to-market, and listings. \uF076 Foster collaboration between teams to align marketing strategies with overall business goals. \uF076 Stay updated on Amazon trends, algorithm changes, and competitor strategies to maintain a competitive edge. ","

Role & responsibilities Bachelors or master’s degree in computer science, Information Technology, or a related field. Proven experience as a Data Analyst or in a similar role, with 7-15 years of hands-on experience in developing data pipelines and managing data infrastructure. Demonstrated expertise in working with Data Bricks for data processing and analysis. Python and SQL experience required Worked on end-to-end Data Product deployment Deployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps) Excellent knowledge or experience in Banking Domain Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders Experience in working with tools like Power BI, Tableau or Qlik

As a web analyst at our organization, your primary role will involve conducting in-depth analyses of website designs to develop data-driven marketing solutions. You will be responsible for generating rich and insightful analytics to gain a better understanding of user behavior, website traffic, and target audience. Additionally, you will create accurate reports with robust data visualizations and provide clear, result-oriented solutions aimed at increasing website traffic, conversions, and brand awareness. To excel in this role, you should possess a degree in marketing, statistics, computer science, analytics, or related fields. Prior experience as a data mining or data analyst expert will be beneficial. Proficiency in web analytics tools like Google Analytics and Salesforce is essential. A keen eye for detail, accuracy, and a data-driven approach to decision-making are qualities that will help you succeed in this position. Strong analytical and verbal communication skills are also necessary for effective performance. Your responsibilities will include implementing various online analytics tools and software to monitor user activities on websites. Developing a deep understanding of user behavior and expectations on the website will be crucial. You will be expected to present insights and findings through easily understandable data visualizations. Collaboration with the web development and marketing teams is essential to formulate a comprehensive data-driven growth strategy for the organization. This position is available in multiple locations including Kannur, Trivandrum, Kochi, Thodupuzha, Calicut, Bangalore, Nagpur, Coimbatore, Kolkata, Lucknow, Indore, Hyderabad, and Pune.,

Our client a Financial Services company needs - Post : Data Analyst Location : Andheri W, Mumbai Experience : 3 years Qualification : Bsc IT / MSc IT / B Tech Salary : 12 LPA Job Profile Data Preparation Gather relevant data from various sources, including primary and secondary sources, surveys, and databases. Ensure data accuracy and consistency by identifying and eliminating errors, duplicates, and inconsistencies. Apply statistical methods and analytical techniques to uncover patterns, trends, and root causes within datasets. Reporting & Visualization Create clear and concise reports, dashboards, and data visualizations (like graphs and charts) to communicate findings to stakeholders. Insight Generation Translate raw data into actionable insights that support strategic decision-making and help solve business problems. Ability to work effectively with different teams and departments to understand their needs and deliver impactful insights. Skills - Technical Proficiency: Skilled in using tools such as SQL, Excel, Tableau, and Power BI for data manipulation, analysis, and visualization - Analytical Thinking - Good Communication - Excellent communication skills to present findings and insights effectively to both technical and non-technical audiences - Setting up and maintaining data infrastructure - Performing descriptive, diagnostic and predictive analytics Please Email CV to resume@jobspothr.com with current salary and Notice Period / Pic n call us to process your candidature Job updates on www.jobspothr.com Please call 99877 06721 / 98191 56570 / 83697 08611 within 15 mins after mailing CV between 10.00am to 8.00pm. Good Luck! Rgds Jobspot HR Services www.jobspothr.com

The successful candidate will be responsible for the following duties: Profitability Support Updating and performing client and product profitability activities in line with the process (Runbook) timelines through the manipulation and update of large external (excel / CSV) data sources. Administer, monitor and manage data in the Client and Product Profitability Tool, including analytical reviews, reconciliations. Working with various stakeholders across the organisation to identify and support improvements to increase the accuracy and quality of outputs. If you are a strategic thinker with a passion for finance and business partnering, we would love to hear from you. Data Quality Monitoring Production of Monthly Data KPI s using the Workday tools. Updating KPI definition(s) Monitor and audit data quality, including identifying, evaluating, and implementing capabilities to support data validation and improved at source coding. Monitoring of the Worktag and other data policy documents. Workday Reporting Monitoring Identify business requirements, specify reporting requirements and following training develop Workday reports. Act as a support for experience Chennai Staff. Monitoring Use of Finance Reports, identifying duplicates, low usage reports. Ad-Hoc Project / Analysis Support Various Ad-hoc support typically being able to methodically work through medium to complex problems, map out solutions in excel and then either build or test the output. Be able to reasonably understand the key finance data tools (Workday Accounting Centre, Prism) and logically work through formulas and SQL code. Training will be given. Identifying improvements to KPI s and Data Drivers including modelling what these looks like and building in the right teams

The successful candidate will be responsible for the following duties: Profitability Support Updating and performing client and product profitability activities in line with the process (Runbook) timelines through the manipulation and update of large external (excel / CSV) data sources. Administer, monitor and manage data in the Client and Product Profitability Tool, including analytical reviews, reconciliations. Working with various stakeholders across the organisation to identify and support improvements to increase the accuracy and quality of outputs. If you are a strategic thinker with a passion for finance and business partnering, we would love to hear from you. Data Quality Monitoring Production of Monthly Data KPI s using the Workday tools. Updating KPI definition(s) Monitor and audit data quality, including identifying, evaluating, and implementing capabilities to support data validation and improved at source coding. Monitoring of the Worktag and other data policy documents. Workday Reporting Monitoring Identify business requirements, specify reporting requirements and following training develop Workday reports. Act as a support for experience Chennai Staff. Monitoring Use of Finance Reports, identifying duplicates, low usage reports. Ad-Hoc Project / Analysis Support Various Ad-hoc support typically being able to methodically work through medium to complex problems, map out solutions in excel and then either build or test the output. Be able to reasonably understand the key finance data tools (Workday Accounting Centre, Prism) and logically work through formulas and SQL code. Training will be given. Identifying improvements to KPI s and Data Drivers including modelling what these looks like and building in the right teams

Conduct Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in large datasets. Perform cohort and segmentation analysis to evaluate customer, product, and market behaviours. Translate complex datasets into meaningful insights and develop clear, concise data storytelling for stakeholders. Collaborate with cross-functional teams (Business, R&D, Sales, Operations) to provide data-driven recommendations. Develop dashboards, reports, and visualizations that support real-time decision-making. Ensure data accuracy, consistency, and integrity while working with multiple data sources. Apply outcome-oriented thinking to connect analytics with business objectives and measurable results. Proactively identify opportunities to leverage data for improving efficiency, customer experience, and business outcomes. Required Skills & Competencies 5 10 years of professional experience as a Data Analyst, preferably in the chemical / life sciences industry. Strong expertise in Exploratory Data Analysis, cohort analysis, and segmentation techniques. Ability to interpret complex datasets and present them in a structured, insightful, and business-relevant manner. Proficiency with data analysis tools (SQL, Python, R, Excel) and data visualization platforms (Power BI, Tableau, etc.). Strong storytelling, communication, and presentation skills for diverse stakeholders. Demonstrated curiosity, proactivity, and problem-solving mindset. Proven track record of driving actionable insights aligned with organisational goals.

: 18510 Service Infrastructure Data Analyst ROLE DESCRIPTION SUMMARY The incumbent will join our Product Strategy, Management & Development team and specialize in end-to-end service infrastructure tracking and analysis, platform resource planning, and product analytics. You will: Lead the design and integration of network data analytics solutions aimed at optimizing the allocation, usage, and planning of SES platform resources Ensure data linkage among all service components in partnership with other business functions (e.g., Software Centre of Expertise, Ground Operations, Asset Management, Network Planning, IT Systems) to deliver single pane of glass solutions for end-to-end tracking and analysis of our platform utilization Identify trends in traffic consumption, take up of products and features as well as patterns in customer behaviour for effective profiling and forecasts Collaborate with Product Engineering, Asset & Yield Management to integrate refined prediction models into our resource capacity planning methodologies and product portfolio optimization PRIMARY RESPONSIBILITIES / KEY RESULT AREAS Provide on-going tracking of hardware resources consumption and platform licenses and apply statistical and predictive modelling techniques in support of planning activities Design self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insights to improve decision-making and foster profitable growth Analyse patterns in take up of products & features as well as network consumption over time with the objective to identify trends followed by customers, segments, markets, and regions and optimize our offering Enable early detection of changes in user behaviour or network consumption by means of analyses on multiple time scales that can identify anomalies, seasonal occurrences or long term shifts in customer preferences for action by the Product and vertical organizations Collaborate with the Product Engineering team to model the current and future capabilities of our VSAT platforms into our sizing process Collaborate with the Software Centre of Expertise and Asset Management teams to develop an overview of our end-to-end infrastructure utilization for planning purposes Ensure all components in the end-to-end architecture including Fleet, Terminal, Platform, Gateway & Network are integrated into our data analysis and reporting Interface with internal and external stakeholders to align IT, security and system requirements, follow through on developments and report regularly Extract product and customer analytics for consumption by the Product team enabling feedback loops with the vertical organizations Provide instruments to the Service Infrastructure team to ensure that platform sizing remains aligned with business targets of the vertical organizations Collaborate with VMP, Finance and Logistics teams to ensure tracking of ground infrastructure deployments, stock management and cost modelling Contribute to SES product analytics roadmap and explore in close collaboration with IT and Software teams the integration of innovative AI solutions that could improve decisions and outcomes COMPETENCIES Analytical skills to reach conclusions based on understanding of large time series of network data and performance metrics Ability to extrapolate trends from consumption data and provide recommendations based on assessment of multiple scenarios and options Curiosity to stay up to date with latest technologies that will advance SES products Ability to set priorities and to work independently towards a long-term objective under tight deadlines Courage to take initiatives when required and foster a collaborative work environment as part of a team Excellent communication and presentation skills to clearly articulate objectives to technical and non-technical audiences Ability to work on an iterative basis with stakeholders during design and prototyping (ideally, with the Agile/Scrum development process) Commitment to deadlines and willingness to meet tight development schedules Ability to work with multiple tasks spread over multiple non-related topics efficiently Ability to act as a gap filler among multiple teams to ensure task delivery in a timely manner QUALIFICATIONS & EXPERIENCE University degree in Telecommunications Engineering, Computer Engineering, Computer Science, Information Technology or similar related scientific/engineering fields Experience in Satellite & Telecommunication Systems, RF engineering and thorough understanding of VSAT technology and infrastructure At least 3 years of data analytics experience with tools, technologies and processes to extract trends and actionable insights from a multitude of network data points Knowledge and understanding of typical key performance indicators associated with satellite networks and telecommunication products Experience with resource capacity planning concepts and methodologies Knowledge and understanding of programming resources, large-scale data lake and cloud services, web services API, data streaming and database technologies Experience in documenting products, processes and requirements Fluent in English, other languages are beneficial OTHER KEY REQUIREMENTS / COMMENTS Work with cross discipline teams (satellite experts, sales, business experts, etc.) Work with remote management and team members Strong communication skills including technical documentation development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders Strong analytical and problem-solving skills Ability to make strategic recommendations Ability to present technical information to a non-technical audience Domestic and international travel required occasionally

Job Title: Senior Data Analyst Manufacturing / Jewellery Industry Location: Charni Road East, Mumbai Salary: 8 LPA 13 LPA Experience: Minimum 3 Years (Career Stability Required) Working Days: 6 Days a Week Reporting To: Director About the Role We are seeking a highly skilled Senior Data Analyst to drive business insights and decision-making in a reputed jewellery manufacturing company . The ideal candidate will have a strong background in data analysis, statistics, and business intelligence , with a proven ability to convert raw data into actionable strategies. Key Responsibilities Analyze large and complex datasets to identify patterns, trends, and business insights. Develop statistical models and perform predictive / trend analysis . Provide actionable recommendations directly to the Director for strategic decisions. Build and maintain data dashboards, visualizations, and performance reports . Work cross-functionally with operations, sales, and finance teams to support data-driven initiatives. Ensure accuracy, consistency, and reliability of business data. Requirements Minimum 3 years of professional experience as a Data Analyst (not MIS). Industry preference: Manufacturing or Jewellery . Strong command over Excel (advanced functions, VBA a plus) . Solid foundation in S tatistics, data modeling, and analytical techniques . Experience with data visualization tools (e. g. , Power BI, Tableau, or similar) preferred. Proven career stability with long-term roles in previous companies. Strong business acumen, problem-solving mindset, and ability to present data insights effectively. Why Join Us Direct reporting to the Director high impact and visibility. Stable and long-term career opportunity. Exposure to the fast-growing jewellery manufacturing industry . Competitive salary with growth potential.

Position Overview: We are seeking a highly skilled Analytics Engineer with expertise in Looker and Google BigQuery to join our data team. This role will focus on building scalable data models, optimizing SQL queries, and creating insightful dashboards and reporting solutions that empower business stakeholders to make data-driven decisions. Job Responsibilities: Design, develop, and maintain LookML models in Looker to enable robust self-service analytics. Build reusable, scalable data pipelines and transformations in BigQuery . Partner with business stakeholders to translate reporting requirements into efficient data models and visualizations. Ensure data accuracy, consistency, and performance optimization across dashboards and queries. Implement centralized metrics and definitions for consistent business reporting. Work with cross-functional teams (data engineering, product, business) to align data models with business needs. Monitor and troubleshoot Looker dashboards, BigQuery performance issues, and data pipeline failures. Stay current with industry best practices in modern BI, analytics engineering, and cloud data platforms. Basic Qualifications: Proven 5+ years of experience as an Analytics Engineer, BI Developer, or Data Analyst with strong technical ownership. Advanced proficiency in SQL (preferably Google BigQuery). Hands-on experience with Looker (LookML, Explores, Views, PDTs, user permissions). Strong understanding of data modeling principles (star schema, snowflake schema, slowly changing dimensions). Experience with data warehousing concepts and modern cloud data platforms (preferably GCP). Ability to optimize SQL queries and Looker Explores for performance and scalability . Strong problem-solving skills and ability to work with large, complex datasets . Excellent communication skills to collaborate with technical and non-technical stakeholders. Preferred Qualifications: Experience with version control (Git) and collaborative LookML development. Familiarity with dbt (data build tool) for transformation modeling. Knowledge of other BI/visualization tools (Tableau, Power BI) is a plus. Understanding of ETL/ELT pipelines and orchestration tools (Airflow, Cloud Composer).

Goodyear India Limited is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Dear All!!!! Job Title:- Data Analytics Mandatory Skills:- 1) Python 2) Knowledge of data visualization tools and techniques (Tableau, Power BI, ELK, DOMO). Note:- Not consider Data Science profiles. only for Dara Analyst. Job type:-Contract Work Mode:-Hybrid Interview Mode:-11th Sep face 2 Face Drive Shift timings:-General N.p:-Immediate to 10 Days Experience:-3 Years Budget:-18 LPA Location:-Bangalore If Any one are interested Drop me your Cv hemanandana.a@pacific.co.in

Key Responsibilities: Drive and support environmental performance reporting by seamlessly collaborating, internally a externally, for Operations to deliver sustainable long-term growth, using innovative & green solutions, while making a positive impact on patients and society as a whole. Implement and maintain processes and procedures which ensure timely reporting on Environmet KPIs with relevant environmental regulations across all int. manufacturing sites, offices, labs. Ensure preparedness with respect to emerging regulations like CSRD, Green Taxonomy and reporting requirements of sustainability performance. Support the senior leadership in data driven decision making in environmental sustainability related areas. Drive execution and delivery of environmental sustainability targets of Novartis across climate, waste, and water Actively support in limited and reasonable assurance of environmental sustainability indicators in line with ISAE 3000 and other standards as applicable Drive initiatives to improve data accuracy, and quality and ensure necessary controls are in place to ensure compliance with upcoming regulations like Corporate Sustainability Reporting Directive (CSRD), Green Taxonomy, Article 964 (Swiss regulations) etc. Support in preparing monthly performance summary reports for senior leadership Support in training and communication with associates to develop skills and expertise Essential Requirements: MBA with university degree in engineering, technology or other related natural/technical field. Advanced degree is highly desirable. Overall relevant work experience of about 10-12 years, ideally at multi-national organizations in driving execution of environmental sustainability strategy and targets Minimum 8 years of experience in data analytics, performance report preparation, and interacting with cross-functional stakeholders Minimum 5 years of experience of reporting of environmental sustainability performance in line with the GHG protocol and other standards as applicable Excellent Microsoft Excel, Powerpoint skills At a minimum, fluency (speaking and writing) in English required. Working knowledge of additional languages desirable (e.g. German, French. Spanish, Mandarin). Good communication skills, proactivity, self-initiative. Ability to operate in a global matrix environment.

As a Data Analyst (Bi-lingual German) at Numerator, you will play a crucial role in enhancing our extensive database of products. Utilizing our specialized platform, you will be responsible for accurately matching real-world products with their respective brands and categories. Your contributions will be pivotal in maintaining the various data categories that our clients rely on for valuable insights to address their business needs. While prior data entry experience is advantageous, we welcome candidates who exhibit the right attitude, drive, and eagerness to learn. We prioritize qualities such as cooperation, flexibility, and a willingness to assist the team with diverse projects and tasks. Your responsibilities will include working efficiently on multiple projects within your designated vertical, ranging from small/medium businesses to consumer packaged goods and retail sectors. You will be tasked with matching items from shopping receipts and online platforms to their corresponding brands and product categories. Researching brands and specific products online to gather essential data and insights will also be a key aspect of your role. Furthermore, you will be instrumental in upholding data integrity by ensuring accurate entries are made into our platform. Meeting deadlines communicated by your vertical leader to support our services teams will be essential. The shift timing for this role is from 11:00 AM to 8:00 PM, five days a week. To excel in this position, you must possess the following qualifications: - Proficiency in both German and English languages - A bachelor's degree - Self-motivation and exceptional organizational abilities - Basic proficiency in Excel - Strong written and verbal communication skills - Detail-oriented mindset with the ability to work independently If you are looking to be part of a team that is revolutionizing the market research industry and eager to leverage your skills to drive impactful outcomes, Numerator welcomes your application. Join us in reshaping the landscape of market intelligence together.,

Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job Summary As a Client Data Analyst within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Act independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team.

Role Name: Data Analyst / Project Coordinator Location : India (Coimbatore) - Remote Reporting: Business Excellence Key R&R Facilitate communication between different teams ensuring all parties are informed of project status and updates. Responsible for maintaining accurate and updated project information within the PMO Tool Work closely with cross-functional teams to gather requirements and understand data needs and support project activities Monitor project performance metrics and reporting Participate in project meetings, taking minutes and following up on action items Contribute to the preparation of presentations and reports for stakeholders Support management of project management frameworks, methodologies, and best practices across the PMO Organize and facilitate PMO meetings, workshops, and training sessions to foster knowledge sharing among project teams. Experience / Skills Bachelors degree or Diploma in Information Technology, Business Administration Experience in data management in ERP or other organizational software is preferred Experience in IT services or technology companies is ideal Result and success-oriented mentality, conveying a sense of urgency and driving issues to closure Strong attention to detail, and superior organizational skills

Data Analyst- Wishlink Wishlink is a well-funded, early-stage startup, on a mission to shape the creator economy and change how people shop. Our mission is to build a hyper-personalized shopping experience for every user, which is creator-led, so that every user can get exactly what they are looking for. We are on a mission to define new charters at the intersection of two of the most prominent aspects of the internet - e-commerce and social media. We re 3 founders, Chandan , Shaurya , and Divyansh , with a shared passion to solve real-world problems at scale and consume content for hours (XD). We started Wishlink in January 2022 when we discovered products on social media that we wanted to buy but could not (in some cases, actually did)! We are based out of Gurugram. We have recently raised a series A round of $7M, led by Fundamentum & Elevation Capital . We have grown remarkably in the last 3 years and are doing a monthly GMV of over Rs. 290cr. We are working with over 50,000 content creators and 250+ brands and eCommerce marketplaces including Amazon, Flipkart, Myntra, Nykaa, Ajio, H&M, Savana (Urbanic), Only, Vero Moda, Libas, Aurelia, Mama Earth, and many more. What would you be doing Watch Reels and YouTube videos every day & level up on your fashion sense! Collect, analyze, and interpret data from various sources to identify trends, patterns, and insights. Develop and maintain databases, reports, and dashboards to track key performance indicators (KPIs). Conduct market research to identify industry trends, competitive analysis, and emerging opportunities. Provide recommendations based on market insight to support strategic planning. Collaborate with cross- functional teams to understand and document existing business processes and identify areas for process improvement and efficiency enhancements. Prepare clear and concise reports and presentations to communicate findings and recommendations. Also, create visualizations and data models to facilitate data- driven decision- making. Monitor project progress and identify potential issues or risks. Collaborate with various departments and teams to gather input and feedback on business processes and projects. What are we looking for If you are a content creator yourself or have worked closely in the social media space - we like you already :) Bachelor s degree in Business, Finance, Economics, or a related field. Proven experience as a Business Analyst or in a similar analytical role. Strong analytical and problem solving skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Data visualization tools). Excellent communication and presentation skills. Project management experience is a plus. Perks and Benefits: Competitive base salary. A phenomenal work environment with extremely high ownership and growth opportunities Transparency, open communication and an open door policy A vibrant, creative, and inclusive company culture. Flexible and fun work environment (Pajamas welcome!). Access to a treasure trove of internet memes and viral content. Team Shaurya Gupta - Founder & CEO Divyansh Ameta - Founder & COO Chandan Yadav - Founder & CTO

Job Title: Employer Branding Associate Manager Role : Engagement & Events Location: Mumbai, Maharashtra Experience: 6 8 Years Employment Type: Full-Time About the Role We are seeking an experienced Employer Branding Associate Manager who has a strong track record of engaging with a large associate workforce. The ideal candidate will have successfully executed high-impact engagement programs for 2,000+ associates, contributing significantly to employer brand perception, associate satisfaction, and emotional connection with the organization. This role is pivotal in shaping and enhancing our internal brand presence through innovative engagement strategies that resonate with our people and their families. Key Responsibilities Execute Engagement Campaigns : Manage creative, scalable engagement initiatives that connect with associates and their families across multiple locations. Event Management : Plan and lead large-scale associate and family-centric events, festivals, and recognition programs to build community and celebrate milestones. Data & Feedback : Collect and analyze engagement metrics and feedback to continuously improve programs. Family Engagement : Build unique programs that involve families, supporting a holistic associate experience beyond the workplace. Stakeholder Collaboration : Work closely with business leaders to understand engagement needs and align branding initiatives with organizational goals. Qualifications & Experience: 6 8 years of experience in employer branding, employee engagement, internal communications, or HR marketing. Proven experience handling engagement for large workforces (2,000+ associates), preferably in a fast-paced or multi-location environment. Strong understanding of employee lifecycle and the role of branding in talent attraction, retention, and culture building. Excellent storytelling, communication, and interpersonal skills. Ability to manage multiple projects, vendors, and stakeholders simultaneously. Creativity, empathy, and a strong sense of ownership in building meaningful people experiences.

At Infoblox, every breakthrough begins with a bold what if. What if your ideas could ignite global innovation What if your curiosity could redefine the future We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold what if can take the world, your community, and your career. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running and what we build is world-class: recognized as CybersecAsia s Best in Critical Infrastructure 2024 evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from youBecome the force that turns every what if into what s next . In a world where you can be anything, Be Infoblox . Senior Reporting and Data Analyst We have an opportunity for a Senior Reporting and Data Analyst to join our HR Operations team in Bangalore, India reporting to Sameeksha MN . In this pivotal role, you will be instrumental in advancing our people data strategy, supporting AI-driven initiatives, and enhancing our reporting and analytics capabilities within Oracle HCM. Collaborating closely with IT, HR stakeholders, and data strategy SMEs , you will streamline processes, resolve reporting issues, and deliver impactful dashboards and insights. Be a Contributor What You ll Do Design, develop, and maintain OTBI and BI reports and dashboards in Oracle HCM Translate business requirements into scalable and insightful reporting solutions Ensure data accuracy, consistency, and integrity across all reports and dashboards Partner with the People Data Strategy SME to support AI-driven analytics initiatives Contribute to the development of new reports and dashboards Assist in shaping the future of people analytics through innovation and automation Work with IT, HRBPs and other stakeholders to manage and resolve reporting-related tickets and sometimes system issues Act as a liaison between technical teams and business users to ensure timely and effective solutions Identify opportunities to automate manual reporting and data processes and develop and implement automation solutions to improve efficiency and reduce errors Document and maintain standard operating procedures for automated workflows Be Prepared What You Bring 7+ years of experience in HR reporting and analytics, preferably within an HR technology team Expertise in Oracle HCM Cloud, data visualization tools such as Power BI and Tableau, OTBI, and BI Publisher Proficiency in BI Publisher and SQL Proven ability to think critically and solve complex problems, coupled with excellent communication and stakeholder management skills Demonstrated capability to handle multiple priorities effectively in fast-paced, dynamic environments Experience working on AI or machine learning projects in an HR context Bachelors degree in human resources, data analytics, or related field required; master s degree preferred Be Successful Your Path First 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals. Six Months: Identify areas for automation across reporting and data workflows to improve speed, accuracy, and reduce manual effort Uphold high standards of data accuracy, consistency, and integrity across all analytics platforms Act as a liaison between technical teams and business users to facilitate smooth communication, timely deliverables, and stakeholder satisfaction One Year: Support the implementation of AI-driven analytics in collaboration with people data strategy SMEs to elevate organizational decision-making capabilities Design and maintain scalable, insightful, and accurate OTBI reports and dashboards tailored to business requirements Collaborate with IT and HR stakeholders to effectively manage and resolve reporting-related tickets and system issues, ensuring minimal disruption to business operations Contribute to developing future-facing dashboards and reports that leverage emerging technologies in AI and machine learning Belong Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you ll grow and belong here. Be Rewarded Benefits That Help You Grow, Thrive, Belong Comprehensive health coverage, generous PTO, and flexible work options Learning opportunities, career-mobility programs, and leadership workshops Sixteen paid volunteer hours each year, global employee resource groups, and a No Jerks policy that keeps collaboration healthy Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations Charitable Giving Program supported by Company Match Ready to Be the Difference Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis #LI-SK1 #LI-Hybrid

Advance Excel , PPT creation, Proposal creationTracking Current Month revenue tracking with FinanceMaintaining Quest DataSharing PCW case reports to Finance and Sales with AgingSharing Invoicing status to Finance and Sales with AgingAnalysis / Dashboard creation or update Daily resource - project mapping (sync With RMG)RAS status - MM with Bench bifurcation Raising RRF as per the forecast / requirement and tracking for the same till closureEach Project - GP / OM updateGP/OM consolidation for Account Updating AOP (Daily)Updating leave trackerFollow ups on the Quest allocations / PCW allocation in the Quest/PCW approval cycleUpdating the Delivery team on the BU RMG updates

We are looking for a Trainee to join our internal Data & Analytics team at Sago a leader in executing market research projects. This is a hands-on learning role designed for individuals at the very start of their data career. Over the course of 6 12 months, you will gain practical experience working on real projects with guidance from senior team members. High performers may be considered for a permanent role at the end of the trainee period. Key Responsibilities Learn Sago s business processes, data architecture, and tools by shadowing data engineers and analysts Assist with small analytics and reporting requests using SQL and Python Take ownership of simple data tasks from start to finish as your skills develop Collaborate with the team to document processes and share learnings Requirements Strong communication skills in English (both written and verbal). Basic knowledge of SQL and Python Curiosity, eagerness to learn, and willingness to take feedback A degree is not required we welcome candidates with certifications or bootcamp training in data, analytics, or engineering Nice-to-Haves Exposure to orchestration tools like Airflow Knowledge of Data Lake/Lakehouse architectures Familiarity with modern data storage like Parquet, Delta Lake, Iceberg, etc Understanding of Git and version control basics Why Join Us? Growth Path: Opportunity to transition into a full-time Data Engineer or Data Analyst role with mentorship and training Learning Culture: Supportive environment that values curiosity, experimentation, and continuous improvement Hands-On Experience: Work across real business problems, gaining exposure to multiple data domains and making real impact. Creativity & Problem-Solving: Participate in proof-of-concept projects where innovative solutions are encouraged Free Gourmet Tea/ Coffee on the house. Extensive Mediclaim benefit. Pick and drop cab facility for up to 50 Kms from Office location.