916 Data Analyst Jobs - Page 28

Responsibilities Be a team player Dedicated to Source (Catalyst & Keystone) to GFIN (Target) Reconciliations, GFIN vs HFM Reconciliations, and research discrepancies between the systems Work with Data Engineering and Power BI developers to create recon dashboards and general maintenance of dashboards Create and update process documentation Support Internal Audit requests Participate in ad hoc project requests Management of Change Champions for MDG - to ensure the smooth flowing of new Data Objects via the MDG process Governance of new Data Objects, and Values Management of effective input capture and central overview data files Experience 3 to 5 years experience Proactive, self-starter - driving agenda and opportunities for improvement Simplification in comms and actions necessary to take to solve issues Question and call out when data look unusual Autonomy to review and research on their own and support findings Excel savvy - experience working with frequent and large data sets Some systems experience preferred (SAP, HFM, Oracle, Snowflake, Power BI) Experience of Data Governance and systems related to DG Has proven Networks in KH - knows who to speak to Working knowledge of products, and how these fit together with supply elements Understanding of data rules by functional areas Confidence in using applications, some systems experience preferred - SAP, HFM, Oracle, Snowflake, Power BI Hours - Hybrid US hours - during close week Hybrid hours - same schedule as current team during non close week Location(s) Ahmedabad - Mondeal Heights - GBS Center

Job Location: Chennai, Bangalore, Hyderabad Experience: 5 - 15 yrs Job Type: FTE Shift Timing: 2 PM IST till 11 PM IST Note: Looking only for Immediate to 1 week joiners. Must be comfortable for Video discussion. JD Key Skills: Data Analyst, SQL, Datastage, Snowflake, AWS, Datawarehouse Looking for a Sr. Data Analyst who is experienced in the ETL/Datawarehousing technologies Experienced Data Analyst in ETL/Datawarehousing Experience with SQL, Datastage, Autosys, Snowflake, AWS Knowledge of Agile execution/delivery processes/tools including Confluence, JIRA, SharePoint, and ServiceNow Candidate needs to be having the below : >Minimum of 5+ years of Data analyst experience >Experienced in ETL (Datastage preferrable but fine with others as well) >Experienced in Data Analysis ( Data Cleansing, Data validation, Data Mapping & Solutioning, ETL QA) >Experienced in SQL (Snowflake, SQL server, Oracle SQL/ PL SQL - Any of these) >Should be capable of Client facing work on a day-to-day basis >Knowledgeable in Investment Banking/Asset Management/Compliance Regulatory reporting - any of these is good-to-have Contact Person - Amrita Please share your updated profile to amrita.anandita@htcinc.com with the below mentioned details: Full Name (As per Aadhar card) - Total Exp. - Rel. Exp. (Data Analyst) - Rel. Exp. (Datawarehouse) - Rel. Exp. (SQL) - Rel. Exp. (Datastage) - Rel. Exp. (Snowflake) - Rel. Exp. (AWS) - Highest Education (if has done B.Tech/ B.E, then specify) - Notice Period - If serving Notice or not working, then mention your last working day as per your relieving letter - CCTC - ECTC - Current Location - Preferred Location -

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and we'll-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional we'll-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, we'dnesdays and a third day unique to each team or employee). The Impact you will have in this role: The Business Analyst / Data Analyst is a core member of the Business Intelligence team within Enterprise Data Solutions at DTCC responsible for end-to-end delivery of business intelligence use cases across multiple internal stakeholder groups. You will support the full lifecycle of delivery, from initial requirements gathering and analysis through design and development, production deployment and ultimately on-going support. The role requires deep understanding of data analysis, visualization design, and the ability to develop data-driven solutions. The Business Analyst / Data Analyst will bridge the gap between business and technical teams, ensuring that BI tools and strategies drive measurable business value. Your Primary Responsibilities: Collaborate with stakeholders to identify and document detailed functional and non-functional business requirements for Business Intelligence (BI) solutions Conduct preliminary data analysis for new projects: resolve whether required data inputs are available in our data ecosystem or else facilitate the onboarding plans to add the required data Execute data analysis discovery to identify trends, patterns and actionable insights, presenting findings clearly through established data visualization tools Partner with developers and data engineers to design scalable BI solutions Drive progress across multiple projects simultaneously through the full life cycle, from initiation to closing Mitigate risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately Qualifications: Minimum of 2 years of related experience Bachelors degree preferred or equivalent experience Collaborate with stakeholders to identify and document detailed functional and non-functional business requirements for Business Intelligence (BI) solutions Conduct preliminary data analysis for new projects: resolve whether required data inputs are available in our data ecosystem or else facilitate the onboarding plans to add the required data Execute data analysis discovery to identify trends, patterns and actionable insights, presenting findings clearly through established data visualization tools Partner with developers and data engineers to design scalable BI solutions Drive progress across multiple projects simultaneously through the full life cycle, from initiation to closing

Key Responsibilities: Gather, clean, and analyze large data sets from various sources Develop dashboards and reports using tools like Power BI, Tableau, or Excel Identify trends, patterns, and actionable insights to support decision-making Work with cross-functional teams to define data requirements and deliver insights Prepare detailed reports and present findings to stakeholders Automate data processing and reporting pipelines where applicable

Research and collect data on market places like consumers, competitors and consolidate information into reports and presentations. Understanding business objectives and design surveys according to customers preferences. Compile and analyse statistical data using modern and traditional methods to collect it Taking a sample report of data before initiating any huge project. Use online market research and catalogue findings to databases Provide competitive analysis on various companies market offerings, identify market trends, pricing/business models, sales and methods of operation Ensure to deliver the data before the end date and recheck that data on the releases are accurate and the angle of the release is correct. Stay updated and fully informed on market trends, other parties researches and implement best practices. Requirements A Bachelors degree. Proven Market Research Analysis experience. Knowledge in Funding Events Great accuracy in Data appending. Fast worker and able to cope up with pressured work. Analytical mind and skills. Keen observer and having strong attention to detail the data. Strong knowledge in statistics and MS Office and able to notice patterns. Strong communication and presentation skills. Organization skills. Awareness in commercials Works in a methodical way to approach Quick learner Excellent working experience in skills like Data scrapping, Data counts, and Sampling Typewriting skills Team worker Flexibility and Adaptability Benefits Standard Job Role and Standard Job timing Provident Fund and Employee State Insurance Monday to Friday Working Night Shift Allowances Great work environment Other benefits

Position: Data Analyst. Contract: On Contract Role. Design and develop dashboards and automation tools by programing in MS Access, MS Excel, and Tableau/Power BI dashboards for solutions in conjunction with multiple data sources such as SQL Database, SAP Hana, SharePoint etc. Maintain all supported solutions as defined by requestors located globally (AP, EU and NA zones). Work effectively with the business with regards to fixing breaks in the process and support changes. Demonstrate initiatives to identify process efficiencies. Understand business process changes and impact on the tools design. Escalate any design issues or conflicting priorities to ensure timely product delivery. We are recruiting a Data Analyst to join one of our leading multinational clients and their expanding team. This position is based in Bangalore and offers an excellent opportunity for experienced proposal management professionals in the Conventional Energy sector. Should possess strong verbal communication and writing skills in English. Keen attention to details, strong analytical skills and problem-solving skills. Proficient in MS Excel and Sharepoint. Good technical understanding of database/application design, development cycles and structural principles. Advanced programming skills in Microsoft products: Access, advance Excel: (powerpivot, power query, power view), VBA Programming. Good technical knowledge or able to learn on Data Analytics platforms and auto process workflow: ServiceNow, PowerBI, Tableau. Good technical knowledge or able to learn on SQL Database server, Stored Procedures.

Responsibilities : Data Analysis and Management Conduct advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases.

Senior Talent Operations Data Analyst Location: Chennai About Toast: Toast is driven by its mission to build an all-in-one restaurant platform that empowers restaurants to operate their business efficiently, increase sales, engage guests, and maintain employee satisfaction. As a dynamic and fast-growing company, we are committed to delivering innovative solutions to the restaurant industry. Job Summary: The Senior Talent Operations Data Analyst will be a key analytical resource within Talent Acquisition (TA) and will operate as the technical engine of the Talent Analytics team. The ideal candidate will have extensive experience working with recruiting and people data and will be comfortable navigating the inherent nuances of the recruiting space. They will have both the subject matter expertise and technical savvy to act as the primary SQL resource of the Talent Analytics team, using various data sources to enhance reporting and operations with a relentless focus on efficiency and scalability. Work Mode: Hybrid (2 days a week in the office) Key Responsibilities: Drive efficiency in the People & Places data infrastructure by writing and maintaining highly optimized SQL queries using multiple data sources. Partner with the People Analytics team to create and maintain complex, easily digestible dashboards in Sigma. Proactively identify process improvement opportunities and provide recommendations to improve data quality. Create capacity models to provide Talent leadership with flexible tools for scenario and resource planning. Create hiring forecasts for operationally distinct business functions. Write and maintain comprehensive documentation on data infrastructure, metrics, and processes for internal and external stakeholders. Address ad-hoc data and reporting requests from various functions across the People & Places team. Qualifications: 7+ years of experience in Data Analysis, Data Science, or Business Intelligence. Advanced proficiency in SQL and data visualization tools (such as Tableau, Sigma, Power BI). Previous experience with Greenhouse and Workday data or strong understanding of recruiting and/or people data. Previous experience with capacity modeling. Ability to work independently and adapt quickly to a dynamic environment. Excellent project and change management skills. Bachelor s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Preferred Qualifications (Nice to Have): Proficient with Python or R. Minimum educational qualification: Any Undergraduate (UG) degree. Why Toast? At Toast, we believe in fostering a collaborative and innovative work environment. Join our team and be part of building solutions that positively impact the restaurant industry while growing your career in a supportive and dynamic environment. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https: / / careers.toasttab.com / locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. ------ For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What this opportunity involves:We seek a Sustainability Data Analyst to join our team. You will support the sustainability data analyst reporting, data management, platform, compliance and reporting functions for a wide range of assets across JLL.JLL's purpose-driven global sustainability program delivers impact on climate action for sustainable real estate, healthy spaces for all people and thriving communities.We are a rapidly expanding team, and over time we continuously support your growth with development opportunities available within our data and analytics teams. An overview of the role:- Assist the reporting team with insights, analytics, preparing data and presentations.- Assist the team with delivering projects that will enable clients to meet sustainability reporting objectives.- Managing utility(electricity, Natural Gas, water, etc) level data and reporting on consumption, cost and emissions.- Develop a detailed understanding of JLL s sustainability reporting application and how we support clients in measuring sustainability performance.- Assist the team with client delivery milestones to ensure they are being met.Sounds like you This is what we are looking for- A passion for Sustainability and pulling together associated Data and Reporting.- Intermediate Excel skills.- Insights, element visualisation, and presenting data.- Excellent communication skills.

We are organizing a direct walk-in drive at Bengaluru location. Please find below details and skills for which we have a walk-in at TCS - Bengaluru on 14th June 2025 Experience: 4 - 8 years Skill Name :- (1) SharePoint Developer (2) SPFX (3) PowerPlatform (4) AWS Data Engineer (5) AWS Devops (6) Azure Dot Net Fullstack Developer (7) Azure Data Engineer (8) Azure devops (9) Data Analyst (10) Node JS (11) Informatica Developer (12) Java Springboot / Microservice

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

QNXT/Schema knowledge Healthcare/business knowledge in member, eligibility, TPL, claims processing, provider, pharmacy claims Good/Excellent SQL skills Good Oral/Written communication skills Data Mapping experience Conversion/Interface/Reporting Experience Data Collection & Management Gather, clean, and validate data from various internal and external sources. Ensure data integrity and consistency across different datasets. Develop and maintain data pipelines and databases to manage incoming data efficiently. Data Analysis & Interpretation Analyze data sets using statistical techniques and tools (Excel, SQL, Python, R, etc.). Identify trends, patterns, and insights from large datasets. Interpret data to provide actionable recommendations and business solutions. Reporting & Visualization Prepare detailed reports with key metrics, analysis, and trends. Create data visualizations (using tools like Tableau, Power BI, or others) to simplify complex data and provide stakeholders with clear insights. Develop dashboards and regular performance reports for management. Collaboration & Communication Collaborate with cross-functional teams (marketing, finance, operations) to understand their data needs. Present findings to stakeholders in a clear, concise manner, translating technical data into business-friendly insights. Support decision-making by providing data-driven reports and analysis. Process Improvement Suggest improvements to existing data collection, processing, and reporting practices. Participate in the design and optimization of automated reporting systems. Work on optimizing data models and processes for better efficiency and insights.

About the Role: Okta s Strategic Sourcing & Procurement (SS&P) team is evolving to deliver greater efficiency, data-driven decision-making, and strategic value. We are seeking a Sourcing Excellence Data Analyst to support sourcing operations through strong data analytics, process optimization, and policy enablement. This role will play a key part in helping the SS&P function scale with Okta s continued growth by enhancing consistency, visibility, and performance across procurement. The ideal candidate is a self-starter who thrives in a fast-paced environment, proactively identifies problems, and brings forward practical, data-driven solutions.Please noteYou will be required to work US hours. Key Responsibilities: Analyze procurement & sourcing data to generate actionable insights that inform category strategies, supplier performance, and sourcing opportunities. Gathering data from primary or secondary sources (e.g., databases, surveys etc.) and cleaning and organizing raw data to ensure accuracy and consistency. Write SQL queries to extract data from relational databases. Build both ad hoc and repeatable reports and visualizations for executives and users using Excel and tools like Power BI, Tableau and other application reporting tools. Ensure reports and dashboards enable data interpretation in a business context. Ensure accuracy and quality of the data sets and reports Build and maintain dashboards and reporting tools to track savings, cycle times, compliance, and project pipeline health. Work with multiple internal and external team members to understand their data needs, translating business requirements into data analysis tasks Maintain and support sourcing systems such as Workday, ensuring data accuracy, user access, and workflow consistency. Regularly update datasets in Snowflake and proactively identify data discrepancies or errors. Troubleshoot data integrity issues and propose solutions to improve dataset accuracy and reliability. Support savings methodology tracking, project intake data cleansing, and alignment to financial planning and budgeting cycles. Support improvements in sourcing processes and policies to increase operational efficiency and scalability. Partner with category managers and sourcing managers to enhance visibility into performance metrics and process bottlenecks. Develop and maintain tools, templates, and standard operating procedures to standardize sourcing execution and improve team effectiveness. Assist with contract and supplier data management, including maintaining a centralized contract repository and ensuring supplier master data integrity. Collaborate with Finance, Legal, IT, and Business Units to ensure procurement processes and governance structures align with enterprise objectives and compliance requirements. Contribute to continuous improvement efforts by identifying gaps or inefficiencies and proposing scalable, pragmatic enhancements. Take ownership of initiatives and drive them forward independently while collaborating across functions. Qualifications: Bachelor s degree in Business, Supply Chain, Finance, Analytics, or a related field. You must have at least 2 years of experience in procurement, supply chain, data analytics, or operations. Understanding of P2P datasets, sourcing processes, procurement KPIs, and supplier management. Strong analytical and data management skills; proficient in Excel, SQL, Power BI, Tableau, or similar tools. Experience with procurement or sourcing tools (e.g., Workday, Coupa, or similar). Demonstrated ability to work independently, take initiative, and solve problems creatively. Strong communication and presentation skills; able to convey complex data clearly to non-technical audiences. Detail-oriented with strong organizational skills and the ability to manage multiple priorities.

Accountabilities: Overall responsibility for handling continuity of overall AMI deployment and O&M in line to contract requirement. Major Activities : To lead team of Data Analyst, Planning & Quality, Site Engineers, set their KRAs, delegate and monitor responsibilities for design and delivery of AMI system in line to contract requirement. Approval of AMI Standard Operating Procedures (SOPs) from DISCOM, rollout with all project partners for compliance. Ensure full compliance to AMI SOPs and exhibit zero tolerance to malpractices in line with Apraava Code of Conduct directly and with project partners. To lead regular reviews with AMI Implementation Partner and Meter Manufacturer and align project priorities as planned. To determine Business process requirements for AMI system, regularly evaluate the efficiency of business processes according to organizational & program objectives and apply improvements. Maintain customer centric approach, attend DISCOM project review meeting and handle escalations. To monitor project issues in real time & ensure resolution. To ensure Operational Go Live of AMI project on time, on budget. Daily MIS reporting to stakeholders. To Identify & target areas in which a business can improve operation by recommending solutions. To ensure strategic capacity planning, conduct interviews, hiring and ensure training to new technical supports staff. Educational Qualifications: Engineering Graduate Functional Skills: Exposure to Energy Distribution Utilities (AMI / AMR Projects would be added advantage). Relevant and total years of Experience: 8 - 10 years.

We are seeking a skilled and dedicated Business Intelligence/ BI Data Analyst with expertise in Sisense data analysis tool to join our dynamic team The ideal candidate will have a strong background in analyzing large datasets, delivering meaningful insights, and presenting the insights to stakeholders WHAT WILL YOU DO: Understand the requirements and objectives of the assigned dashboard creation requests Extract, clean, and manipulate data from various sources, and the Satlmine platform to generate actionable insights Maintaining standard reports and visualizations Ensure data accuracy, integrity, and security across platforms Stay updated on industry trends and best practices in data analytics, Sisense Working closely with other team professionals such as the BI-Tech, PM, Ops-PM, Design, and Planning team, to understand the data definitions to provide a complete solution on insights Q

Data Transformation: Convert raw data into meaningful information that can guide business strategies Life Cycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation Develop reports and refine analysis and reporting tools to provide clear insights into business performance Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis Synthesize complex data sets to extract key trends and insights that drive decision-making processes Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures Constantly monitor, refine and report on the performance of data management systems Maintain a corporate repository of all data analysis artifacts and procedures Perform other functions as may be assigned Power Bi, Data Analyst q

Job Description: Data Analyst Location: Noida, Uttar Pradesh, IND Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it s in our differences that we empower the way the world learns. About the Role: The Enterprise Data & Analytics team provides colleagues with actionable analyses, utilizing multiple data sources to provide insight into product performance and business opportunities while helping to inform product and business development. As a Data Analyst in the Enterprise Data & Analytics team, you will be responsible for providing data, reporting tools, analyses, and actionable insights to support the strategic work of the Research & Learning publishing teams. You will ensure that the data that Research needs to monitor their business and make strategic decisions is available and accessible. You will produce high-quality reporting products, data visualizations, and analytics that expose publishing and product performance data in the most appropriate format to end users throughout Research Publishing. You will partner with data product owners, provide subject matter expertise, and apply industry best practices to the creation, development, and deployment of reporting and visualization tools to achieve this. The role will require ongoing collaboration with a wide range of colleagues globally and at various levels of the business. You will need a background in data manipulation, storage, and retrieval, as well as experience in data visualization and effective report compilation. How will you make an impact: Build, maintain, and develop high-quality BI reports, primarily using Power BI. Provide data, insights, and reporting tools to meet the current and future requirements of key stakeholder groups in support of their business objectives. Collaborate closely with stakeholder to ensure that current reporting needs are met and that future requirements are understood and planned for. Apply a product management approach to the ideation, development, enhancement, feature release, and consolidation/sunset of reporting and data visualization tools. Identify sources, gather and prepare data, and extract relevant data sets, from a variety of sources. Slice and rework existing datasets to provide a new lens on the data via simple data processing and visualization. Meet the varied needs of your stakeholders, prioritizing user features and applying best practices on deployment and enablement. Build subject matter expertise on new publishing workflows and accurate data sources. Ensure all processes, products, data, scripts, and schedules are fully documented in appropriate tools such as Confluence and GitHub. Provide documentation and training materials to colleagues, giving them the ability to conduct their own analyses and interpret data safely. Contribute to clarifying and summarizing the data needs of the Research Publishing stakeholders and ensure data availability. Work with the data owners to support knowledge discovery on new data and pipeline enhancements, troubleshoot, and provide UAT and QA on data sources. What we look for: Strong analytical mindset, data literate, and inquisitive. Experience in data manipulation, database management, SQL, and data visualization skills. Customer-focused approach - an ability to think about reporting from a real-life, author or editors point of view, outside of the structure of a database or business reporting line, for correct interpretation. Stakeholder communication and expectation management skills. Product management experience, particularly in reporting technology or data visualization, is a bonus. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the worlds most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform todays biggest obstacles into tomorrows brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individuals status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers and learning champions all while striving to support the health and well-being of all employees, for example we offer meeting-free Friday afternoons allowing more time for heads down work and professional development. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wileys good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the UK, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for UK, Canada and USA based roles. When applying, please attach your resume/CV to be considered. #LI