958 Data Cleansing Jobs - Page 4

Connecting Dot Consultancy is looking for Business and 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.

About the Role: Grade Level (for internal use): 07 The Team The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact In this role, you will play a vital part in supporting the data teams objectives by focusing on the collection, analysis, and maintenance of datasets. Your contributions will directly impact the accuracy, completeness, and timeliness of the data we provide. You will collaborate with team members to execute data quality initiatives and assist in the execution of ad-hoc projects aimed at enhancing our data offerings. This role offers an opportunity to develop your analytical skills while working with motivated individuals, contributing to the teams goals by generating actionable insights that inform decision-making and support operational excellence. Your work will help ensure that our datasets meet the highest standards, driving value for our clients and stakeholders. Responsibilities Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Conduct data cleansing to ensure accuracy and consistency in datasets by regularly reviewing and refining them. Perform routine reporting and basic trend analysis to generate reports that highlight trends for actionable insights. Automate data collection and reporting tasks using SQL and Lean methodologies to streamline processes and enhance efficiency. Utilize GenAI tools for exploratory data analysis to extract deeper insights from datasets for informed decision-making. Maintain thorough documentation of data collection processes to ensure compliance and facilitate future reference. Deliver individual and team targets by achieving predefined goals with a focus on quality and accuracy. Provide input for new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot data-related issues and support team members by addressing discrepancies and fostering collaboration. Support workflow and process improvements by participating in initiatives aimed at refining team performance. Preferred Qualification/What We are Looking For Masters degree in finance, economics, data science, or related fields. Strong analytical mindset with attention to detail and quantitative skills. Basic knowledge of SQL and Excel; familiarity with BI tools is a plus. Understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is desirable. Willingness to learn and adapt to modern technologies, including GenAI . Excellent communication, time-management, and multi-tasking skills. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Basic project management skills for ad-hoc projects. Interest in market trends and ability to analyze market dynamics. Strong collaboration and interpersonal skills to build team relationships. Proactive in enhancing technical skills relevant to data analysis. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Gurugram,Bengaluru,Mumbai,Maharastra

Executing Fit Gap Analysis and Business Process BlueprintingExecuting initiatives to build competency in global tempplatesLeading/Executing Training and Knowledge sharingExecuting Demo Content Creation and Demos Executing initiatives to build system based and non system based accelerators for rollouts and implementationsExecuting competency building in new areas eg POCsCreating sales collateralsExecuting Innovation projectsExecuting Study and concept projectsTroubleshooting eg with regard to technical issues/process issues faced by customersSpot consultingExecuting realisation activities in a rollout/implementation project eg configuration, functional specifications for developments, data cleansing, data migration, testing, training, cutover, support for authorisations, support for OCM

Data Cleaning and Preparation: Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. Data Exploration and Analysis: Use statistical tools and techniques to explore and analyze data Required Candidate profile Data Visualization: Visual Representation of data findings through charts, graphs, and dashboards to make the data understandable at a glance. Candidate must have good knowledge of Advanced Excel.

Position : Data Science Trainer Salary : As per company standards Experience : 1yr- 5yrs WORK FROM OFFICE MANDATORY (Full time, permanent) Notice Period : immediate Location : Pune Job Description : Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django .Able to resolve students' queries. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Dynamic personality. Should be flexible to conduct Weekend Batches as well as Weekday Batches. Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda. Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Execute training sessions Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements. (Note: No part time , No work from home) Interested candidates can drop their CV on vpachori@sevenmentor.com OR contact on 88061 78325

Attain ETL - Data Expert | SmartRecruiters Company Description Founded in 2018 in Bangalore, the center of Indias high-tech industry area, Attain has grown to serve a global client base of startups, early stage companies, and SMEs. Attain is US based software company TANGOs India partner. TANGOs software solution helps customers find, build and manage retail and office locations in a single suite/ software platform. Attain supports Tango with services in the areas of development, implementation, QA, and client support. Job Description Prepare Data templates based on Source to Target Mapping (STM) document Add/remove columns in Kettle scripts using STM/Data Templates Run Lookups query and update lookups Run Data Quality scripts Format and validate Data Quality report Run scripts on loaded staging data and update data load checklist Execute internal smoke testing of loaded data in TANGO application Prepare/add/remove columns in Sample Business Data validation tracker using STM Assist to create training materials and help documentation Perform data transformations, including merging, ordering, aggregation, etc., using various data processing tools. Be able to understand the business-domain context for the data well enough to clean and transform it into a form useful for subsequent analysis. Integrate information from multiple data sources, solving common transformation problems, and resolve data cleansing and quality issues Effectively communicate with managers and project teams across different disciplines regarding data sets and reporting needs Qualifications Must Have: SQL basics Understanding of waterfall methodology Willing to learn new technologies Proficient in Microsoft Office software applications, such as Word, Excel, and PowerPoint Strong attention to detail Strong prioritization skills; ability to perform multiple tasks and meet deadlines in a fast-paced dynamic environment Strong written and verbal communication skills Desirable Skills (nice to have): Hands-on experience in any ETL/Reporting tool Excellent analytical and problem-solving skills. Ability to perform root cause analysis Manual data analysis using Excel or other spreadsheet tools Education/ Experience: Bachelor s degree in Data Science, Computer Science, Mathematics, statistics or similar quantitative field plus at least 3 years of relevant experience working with data. Demonstrated experience in Data Wrangling including extracting and transforming different types of data files (csv, xlsx) into analyzable data using reproducible coding and scripting techniques Minimum 3 years of data scripting experience in a common language (SQL, Python, R, etc.) Experience with data formatting and storage Skills/ Training: Data-orientated personality. Analytical, planning, problem solving, and decision-making skills Good scripting practices Experience with SQL. Ability to learn and implement new techniques and skills, and seek guidance when needed. Excellent written and oral communication skills including effectively explaining concepts to managers and other project team members. Ability to work effectively in a multi-disciplinary setting. Ability to effectively manage multiple concurrent tasks and seek direction on competing priorities. Experience with data wrangling and harmonization across a variety of data file types and formats.

Job Summary: We are looking for a Tableau Developer with 3 to 5 years of hands-on experience in designing interactive dashboards and BI solutions. This role requires strong Tableau expertise, solid SQL skills, and a good understanding of integrating Tableau with enterprise data platforms like Cloudera Data Platform (CDP 7.1). You will collaborate with architects, engineers, and business analysts to deliver scalable, high-performance BI solutions. Responsibilities: Design, develop, and maintain interactive dashboards and reports using Tableau Desktop. Follow and help enforce best practices in dashboard design, folder structure, naming conventions, and visualization standards. Collaborate with senior BI and data engineering teams to optimize Tableau's connectivity with Cloudera Data Platform (CDP 7.1) and other enterprise data sources. Implement filters, parameters, extracts, and Hyper Extracts to support performance-efficient reporting. Support query performance tuning, incremental extract strategies, and dashboard performance improvements. Maintain Tableau Server environments by publishing dashboards, managing permissions, and monitoring usage analytics. Participate in code reviews, documentation, and internal knowledge-sharing initiatives. Align dashboards with optimized data models and collaborate closely with backend data engineering teams. Stay current with Tableau feature updates and apply them to enhance dashboard functionality and user experience. Required Skills & Experience: Tableau Expertise: Tableau Desktop: Calculated fields, LOD expressions, dual-axis charts, actions, dashboard formatting, and storytelling. Tableau Server/Online: Publishing, scheduling, permissioning, and tuning. Tableau Prep: Data cleansing and transformation workflows. Data & Querying: SQL: Writing complex queries with joins, subqueries, CTEs, and aggregations. Data Modeling: Star/snowflake schemas, normalization, and data blending.

Description: Bank GL Reconciliation Review accounts, clear transactions in SAP, ensure accuracy, maintain ledgers. Customer Sub-Ledger & Open Items – Analyze accounts, clear/match transactions, escalate issues, coordinate with GBSS/third parties, maintain ongoing clearing. Open Sales Orders – Monitor/manage SOs and delivery status in SAP. Fixed Assets – Review/update records, correct errors, coordinate for missing data, ensure accuracy. Cutover Support – Assist in transition and migration activities. Legacy Data Cleaning – Coordinate with departments to clean legacy data. Customer Advances – Manage and clear customer advances in SAP. Documentation – Record processes and communication related to data management. Pre-Go-Live – Support and participate in system readiness activities. Other Data Management Tasks – Perform additional tasks as needed Skilled in Microsoft Excel and Word, with a good command of their functionalities Possess excellent verbal and written communication abilities Additional Details : Working day- Mon to Fri Working time- General 9 hrs Payroll Company- Talisman HR Solutions, min duration 1 year Experience- min 4 years can also be considered Not mandatory to have experience in ECC 6.0 Financial Information module, candidate with experience in SAP HANA is also fine. Good communication skills required Should be good with excel Any graduation can be considered 3 rounds of interview. Contract period 1 year, On Third Party Payroll (Talisman HR) Interested can share updated cv on search@talismanstaffing.com or What's app : 9136435341

Summary: Candidate would develop and create regular and ad-hoc business reports for Consumer Healthcare brand and categories. Expertise in the creation of Excel, Power Pivot, Power Query, DAX, and Power BI based Reports & Dashboards. Perform continues automation and process improvement. Integrate and manage complex data from multiple sources. Requirements: Advance Analytics, Consulting and Project Management, Consumer Analytics in CPG, Retail and FMCG domain Proficiency in reporting, handling large data set and development/maintenance of new solutions (reports/dashboards) Expert in Excel, Power BI, Power Pivot (DAX). Knowledge of associated programming languages required Excellent communication skills to manage multiple stakeholders Experience in report building and Dashboard creation in Power BI. Proficient in Data Integration, transformation and automation Passion for automation and processes, and continuous improvement mindset Data management including maintenance of the data hierarchies Can handle multiple project effectively, plan & priorities the task for himself and team (if needed) QUALIFICATIONS - Btech /BE/Any Post Graduate Degree

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. This is an exciting opportunity to join a dynamic, tightly-knit team of global power and utilities technology experts leading the energy transition, and be on the forefront of digital, data-driven network operations to facilitate the better working world. As part of EY, you will work with global companies combining your technical expertise, proven consulting skills, and industry knowledge to help solve their most complex problems in the design and implementation of integrated IT/OT system landscapes using the top technologies of the day. We're looking for Data Analysts at Senior rank with expertise in Client Systems, Data Analysis, and exposure to Operational Technology to join the P&U Sector Team of GDS Consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Your Key Responsibilities include: - Assess, prepare, cleanse, migrate, and provide the data as part of major systems implementation projects - Understand the clients" existing and new technology, their data sets, and data needs, and plan the data migration strategy - Extract data from different sources (client machine and client data) - Transform and load data to client systems as per the business need - Design, plan, and execute the utility network model build for client systems and projects - Validate the network model and migrated data - Test the OT system applications to ensure data completeness and correctness - Prepare valuable insights out of the data, which will aid in quick and right decision making - Develop different visualizations to help understand the data easily - Send reports to end clients according to the expectations - Develop client documentation of technology, processes, or procedures Skills And Attributes For Success: - Demonstrate expert core consulting skills and advanced level of Data Analysis knowledge and industry expertise to support delivery to clients - Perform an appropriate role in business development in terms of presales and practice development - Experience working with clients throughout various parts of the implementation lifecycle - Proactive with a solution-oriented mindset, ready to learn new technologies for client requirements - Demonstrate people management and an ability to conduct and lead consultancy assignments - Be result-oriented as well as people-focused - Work as part of an engagement team with various onshore and offshore roles, collaborating with EY colleagues and external technology vendors - Training and development support To qualify for the role, you must have Data analysis skills, SQL, scripting, lightweight tool development capability, and the ability to work proficiently in various technological environments. Ideally, you'll also have a Degree in electrical engineering or computer science, good business writing skills, good communication skills, and maintaining end-to-end accountability and expectations for customer satisfaction and overall delivery excellence. Prioritize deliveries in conjunction with the implementation team and adopt a proactive, logical, and organized approach to problem resolution. Any relevant product/platform certification is a bonus. The incumbent should be able to analyze and manage Data requirements for OT/CS. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

About the Company: The Hitachi Energy India Operations Center (INOPC) is home to over 3,000 energy transition technologists stationed in three different locations, specializing in grid automation, transformers, high voltage products, grid integration, and service businesses. With a total area of 3,00,000 square feet, including 50,000 square feet dedicated to lab space, the center serves as a hub for diverse engineering capabilities aimed at advancing the world's energy system towards sustainability, flexibility, and security. INOPC collaborates with Hitachi Energy units in over 40 countries to execute projects across 80+ countries. As technology leaders, we are actively shaping the future of the global energy system. The increasing energy consumption driven by evolving lifestyles and rapid urbanization underscores the demand for affordable, reliable, and sustainable energy solutions. Our innovative technologies play a crucial role in enhancing the resilience, security, and safety of the energy system. Electricity is set to become the cornerstone of a carbon-neutral future. Alongside our customers and partners, we are co-creating solutions to expedite the energy transition process. Our technologies enable the integration of large volumes of renewable energy into global grids, manage growing complexity, and facilitate the electrification of transportation, industry, and smart life sectors. The center prioritizes addressing the escalating complexity in both domestic and international grids, playing a pivotal role in driving Hitachi Energy's global expansion. How you'll make an impact: - Collaborate with BU Operations, Quality, and SCM leaders to define key metrics to monitor annually. - Engage closely with HUB Operations, Quality, and SCM Managers to align on KPI measurement and provide analytical insights for driving enhancements. - Partner with the Division-level Performance and Analytics team to enhance existing tools and establish measurement metrics for the business unit. - Generate timely reports for Monthly HUB reviews, ensuring data completeness and quality for KPI assessments. - Lead the monthly HUB review process, overseeing planning and governance to ensure effectiveness and follow-up on actions for improved business outcomes. - Support Quality, SCM, and Operations teams in enhancing data availability in an efficient manner. - Enhance and automate data collection, analysis, and visualization tools. - Conduct Data Collection, Cleansing, and Analysis. - Demonstrate expertise in various visual representation tools and possess advanced knowledge in analytical and visual tools like Power BI and Advanced Excel. - Understand key metrics relevant to Operations, Quality, and SCM in the manufacturing industry. - Proficient in using MS Office tools. - Uphold Hitachi Energy's core values of safety and integrity by taking accountability for actions, caring for colleagues, and the business. Your background: - Hold a degree in Engineering or Statistics with at least 5+ years of experience in Operational and Quality performance analysis within a manufacturing company. - Exhibit self-starter qualities with a commitment to task ownership and completion. - Possess strong attention to detail. - Excellent written and verbal communication skills. Qualified individuals with disabilities may request reasonable accommodations for accessibility assistance during the job application process by completing a general inquiry form on the Hitachi Energy website. Please provide your contact information and specific details regarding the required accommodation to facilitate support during the application process. This accommodation service is exclusively for job seekers with disabilities needing assistance in accessing the Hitachi Energy career site. Messages left for other purposes will not receive a response.,

As a Senior/Lead Consultant, you should have a minimum of 6 years of experience in SAP Data Conversion and Migration projects. It is essential to have experience working with public cloud services and hold relevant certifications. Proficiency in ETL/Reporting/Business Intelligence applications, especially SAP BODS, is a must. Your role will involve tasks such as data profiling, cleansing, and remediation. Functional knowledge in modules like FICO, SD, MM, PP, PM, QM, HCM, VC, EWM is required. You should be adept at working with SQL query tools, understanding entity relationship models, SAP Data Model, and database relationships. Having worked on at least 3 end-to-end SAP data migration projects, you should be experienced in data validation, verification, and cleansing using appropriate tools. Proficiency in SQL performance tuning, complex SQL statements, and knowledge of hyperscalers like Azure, AWS, Google, Alibaba, and cloud-based products such as SAP, Salesforce, Ariba, among others, is crucial. Any knowledge in Data Science, python, AI/ML will be considered an advantage. Effective collaboration with project teams, good communication skills, and the ability to interact independently with client teams are essential qualities. Strong interpersonal, team-building, organizational, and motivational skills are desired. Possessing certifications in Data Migration/ETL tools will be preferred for this role. If you meet these requirements and are ready to take on the responsibilities of this position, we would like to hear from you.,

TattvaFoundation 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.

Generation of the shared data toolkit comprises of BNY s proprietary iFlow indicators and Investment & Wealth Management (IWM) forecasts. Help own the health and evolution of our Shared Data Toolkit a modular data library that ingests, pre-processes, and delivers clean time-series data and model components to research, trading, and client-facing teams. Toolkit Development & Maintenance- Extend core utilities for data cleansing, feature engineering, and model integration. Enforce documentation, versioning, and unit-test standards across the toolkit. Refactor legacy code into reusable, production-ready modules. R&D Collaboration Partner with quants to onboard new macro, market-microstructure, and behavioral datasets. Prototype and benchmark forecasting models; monitor drift and align output with research intent. Conduct code reviews and coach analysts on best practices. Data Governance- Automate quality-checks and anomaly alerts for high-frequency updates. Coordinate with Data Ops to ensure secure, traceable data lineage. To be successful in this role, we re seeking the following: Technical skills required: SQL / SQL Server, Python, Oracle , ETL orchestration experience with AI/ML a plus High school/secondary school or the equivalent combination of education and experience is required;

Generation of the shared data toolkit comprises of BNY s proprietary iFlow indicators and Investment & Wealth Management (IWM) forecasts. Help own the health and evolution of our Shared Data Toolkit a modular data library that ingests, pre-processes, and delivers clean time-series data and model components to research, trading, and client-facing teams. Toolkit Development & Maintenance- Extend core utilities for data cleansing, feature engineering, and model integration. Enforce documentation, versioning, and unit-test standards across the toolkit. Refactor legacy code into reusable, production-ready modules. R&D Collaboration Partner with quants to onboard new macro, market-microstructure, and behavioral datasets. Prototype and benchmark forecasting models; monitor drift and align output with research intent. Conduct code reviews and coach analysts on best practices. Data Governance- Automate quality-checks and anomaly alerts for high-frequency updates. Coordinate with Data Ops to ensure secure, traceable data lineage. To be successful in this role, we re seeking the following: Technical skills required: SQL / SQL Server, Python, Oracle , ETL orchestration experience with AI/ML a plus High school/secondary school or the equivalent combination of education and experience is required;

We re seeking a future team member for the role of Associate, Data Management & Quantitative Analysis II to join our BNY Institute BNY s macro strategy insights platform team. This role is located in Pune, MH HYBRID. In this role, you ll make an impact in the following ways: We are building out the capabilities of BNY Institute to transform complex data into compelling stories for internal strategists and external clients. Help architect and deliver interactive chart packs, exploratory dashboards, and over time AI-augmented smart visualizations that helps our data tell a story for clients. Platform Build-out Design a scalable charting framework with reusable templates. Integrate with data APIs and Snowflake/S3 for real-time refreshes and cache management. Establish CI/CD pipelines for front-end deployments. Chart Pack Development Produce automated macro & flow packs that update with latest data drops. Implement advanced interactivity: drill-downs, scenario sliders, annotation layers. Optimize performance for large time-series and high-frequency charts.for data cleansing, feature engineering, and model integration. Smart Visualization R&D Prototype NLP-driven chart search, automated chart recommendations, and anomaly-surfacing visuals. Collaborate with AI engineers to embed models into UX seamlessly. UX - Visualize large data sets (structured/unstructured) Drive best practices in data-driven storytelling; host demos and training sessions. Gather feedback from research, sales, and marketing to iterate quickly. To be successful in this role, we re seeking the following: SQL, Python, SaaS analytics, finance interactive data products High school/secondary school or the equivalent combination of education and experience is required;

We are building out the capabilities of BNY Institute to transform complex data into compelling stories for internal strategists and external clients. Help architect and deliver interactive chart packs, exploratory dashboards, and over time AI-augmented smart visualizations that helps our data tell a story for clients. Platform Build-out Design a scalable charting framework with reusable templates. Integrate with data APIs and Snowflake/S3 for real-time refreshes and cache management. Establish CI/CD pipelines for front-end deployments. Chart Pack Development Produce automated macro & flow packs that update with latest data drops. Implement advanced interactivity: drill-downs, scenario sliders, annotation layers. Optimize performance for large time-series and high-frequency charts.for data cleansing, feature engineering, and model integration. Smart Visualization R&D Prototype NLP-driven chart search, automated chart recommendations, and anomaly-surfacing visuals. Collaborate with AI engineers to embed models into UX seamlessly. UX - Visualize large data sets (structured/unstructured) Drive best practices in data-driven storytelling; host demos and training sessions. Gather feedback from research, sales, and marketing to iterate quickly. To be successful in this role, we re seeking the following: SQL, Python, SaaS analytics, finance interactive data products High school/secondary school or the equivalent combination of education and experience is required;

We re seeking a future team member for the role of Associate, Data Management & Quantitative Analysis II to join our BNY Institute BNY s macro strategy insights platform team. This role is located in Pune, MH HYBRID. In this role, you ll make an impact in the following ways: Generation of the shared data toolkit comprises of BNY s proprietary iFlow indicators and Investment & Wealth Management (IWM) forecasts. Help own the health and evolution of our Shared Data Toolkit a modular data library that ingests, pre-processes, and delivers clean time-series data and model components to research, trading, and client-facing teams. Toolkit Development & Maintenance- Extend core utilities for data cleansing, feature engineering, and model integration. Enforce documentation, versioning, and unit-test standards across the toolkit. Refactor legacy code into reusable, production-ready modules. R&D Collaboration Partner with quants to onboard new macro, market-microstructure, and behavioral datasets. Prototype and benchmark forecasting models; monitor drift and align output with research intent. Conduct code reviews and coach analysts on best practices. Data Governance- Automate quality-checks and anomaly alerts for high-frequency updates. Coordinate with Data Ops to ensure secure, traceable data lineage. To be successful in this role, we re seeking the following: Technical skills required: SQL / SQL Server, Python, Oracle , ETL orchestration experience with AI/ML a plus High school/secondary school or the equivalent combination of education and experience is required;

Overview The Tech Strategy & Enterprise Solutions Consumer Capability at PepsiCo drives personalization at scale by leveraging best-in-class technology stack. The team elevates consumer engagement through Salesforce Marketing Cloud, Data Cloud, MCP, and Service Cloud, enabling targeted campaigns and loyalty initiatives. Looking for an administrator who can manage the Marketing clod and CDP orgs. Responsibilities Creating and managing roles and permissions. Manage and create users/accesses. Create and manage FTP users and directories, Handle SFTP key management. Setup Sender Authentication Package (SAP) , Manage send classifications . Manage Audit trail, Manage data import, and export in SFMC. Create reports and send analytics. Create and monitor file drop and schedule automation. Track latest release impacts, install packages, and Set up New SFMC Bus. Document CRs, Basic SQL hands-on Work with data integration technologies to design and implement new solutions and processes for clients to support new customer experience strategies Identify data points required to enable use cases Analyze data for usability in CDP Identify data cleansing requirements Map data sources to CDP data objects (which requires detailed knowledge of the CDP data model) Map data fields to CDP data fields Identify the need to custom CDP objects Determine the relationship between CDP data objects Identify the appropriate primary and secondary keys for each object Determine the specific unification algorithms required for the data of a given client Design test data to test the data model and unification algorithms Execute complex system tests Qualifications 2+ years of hands-on experience with marketing data in MarTech and/or Data Cloud (CDP) space. 3 year of experience in administrator role in other Salesforce cloud. Minimum 1-year implementation experience for one or more Customer Data Platforms Minimum 1-year hands on SQL experience Bachelors degree or equivalent Experience on Lightning web components. 2+ years of experience with data management, data transformation, ETL, preferably using cloud-based tools/infrastructure. Attitude for taking on technical challenges. Relevant Salesforce experience in Sales & Service Cloud as well as Marketing Cloud, related certifications is a plus (Marketing Cloud Consultant, Administrator, Advanced Administrator, Service Cloud Consultant, Sales Cloud Consultant, etc. 2+ years of hands-on experience with marketing data in MarTech and/or Data Cloud (CDP) space. 3 year of experience in administrator role in other Salesforce cloud. Minimum 1-year implementation experience for one or more Customer Data Platforms Minimum 1-year hands on SQL experience Bachelors degree or equivalent Experience on Lightning web components. 2+ years of experience with data management, data transformation, ETL, preferably using cloud-based tools/infrastructure. Attitude for taking on technical challenges. Relevant Salesforce experience in Sales & Service Cloud as well as Marketing Cloud, related certifications is a plus (Marketing Cloud Consultant, Administrator, Advanced Administrator, Service Cloud Consultant, Sales Cloud Consultant, etc. Creating and managing roles and permissions. Manage and create users/accesses. Create and manage FTP users and directories, Handle SFTP key management. Setup Sender Authentication Package (SAP) , Manage send classifications . Manage Audit trail, Manage data import, and export in SFMC. Create reports and send analytics. Create and monitor file drop and schedule automation. Track latest release impacts, install packages, and Set up New SFMC Bus. Document CRs, Basic SQL hands-on Work with data integration technologies to design and implement new solutions and processes for clients to support new customer experience strategies Identify data points required to enable use cases Analyze data for usability in CDP Identify data cleansing requirements Map data sources to CDP data objects (which requires detailed knowledge of the CDP data model) Map data fields to CDP data fields Identify the need to custom CDP objects Determine the relationship between CDP data objects Identify the appropriate primary and secondary keys for each object Determine the specific unification algorithms required for the data of a given client Design test data to test the data model and unification algorithms Execute complex system tests

Embark on a transformative journey as a Data Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. This role is within the Data Curation and Engagement team, which is responsible for the delivery and development of business, regulatory and Client reporting across Barclaycard Payments. The role will involve engaging with stakeholders from across the business, to carry out requirement analysis, data discovery and prototyping to assist in leveraging available data and in the development of reporting and analytical solutions to satisfy business use case needs and ensuring the continuity of reporting following source systems and platform changes. The roles holder will be required to drive best practice in data solutions, demonstrate strong data governance principles and be seeking to continually drive process improvements. To be a successful Data Analyst you should have experience with: Accountable to the Head of Data Curation and Engagement to provide support to the data delivery. Engage with the required stakeholders to analyse requirements, undertake data discovery and prototype business rules to fastrack subsequent data solution delivery / automate data movement and processing. Maintain documentation of data reporting controls and processes for compliance. Empowered to optimise and improve data processes. Application of advanced data analytical techniques to solve complex business problems. Designing and prototyping Solutions for data transformation and data cleansing to prepare data for analysis. Some other highly valued skills may include: Experience of working with a range of stakeholders and building effective relationships across the business and geographies. Strong knowledge of SAS, Databricks and SQL. Excellent communication and stakeholder management skills. Ability to articulate technical findings in business terms and demonstrate value to stakeholders. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking, as well as job-specific technical skills. The job location of this role is Noida. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Position Staff - Data Engineer Staff Designing and developing software components using various tools viz., PySpark, Sqoop, Flume, Azure Databricks and etc. Perform detailed analysis and effectively interact with the onshore/offshore team members. Ensure all deliverables conform to the highest quality standards and are executed in a timely manner. Work independently with minimum supervision. The role is deadline oriented and may require working under US time schedule. Identify areas of improvement and bring in a change to streamline the work environment. Conducting performance tests. Consulting with the design team. Ensuring high performance of applications and providing support. Team player and works well with development/ product engineering teams Problem solver and good at troubleshooting complex problems to find the root cause and provide solution. Passionate developer who is committed to deliver high-quality solutions/products. Position Requirements - Staff 2 4 years of experience in BCM or WAM industry, Exposure to US based asset management or fund administration firm will be an add on. Should have an understanding of data in BCM/WAM space, well versed with KDEs (Funds, Positions, Transactions, Trail Balance, Securities, Investor and etc) and their granularities. Should be strong in programming languages namely Python. Should have hands-on experience on Big Data tools namely PySpark, Sqoop, Hive and Hadoop Cluster. Should have hands-on experience on Cloud technologies, preferably Azure and experience in working with Azure Databricks. Should be an expert working on databases namely Oracle, SQL Server and exposure to Big Data is a plus. Knowledge on Data Visualization tools is a plus. Should be able to write programs to perform file/data validations, EDA and data cleansing. Should be highly data driven and able to write complex data transformation programs using PySpark, Python. Experience in data integration and data processing using Spark and Python. Hands-on experience in creating real time data streamin solutions using Spark Streaming, Flume. Experience in handling large data set (in terabytes) and writing Spark jobs and hive queries to perform data analysis. Experience working in an agile environment

We are seeking a highly skilled and motivated Data Scientist to join our team and contribute to building data-driven solutions for critical business problems.

Role Description The Compliance and Anti-Financial Crime (CAFC) Data Office is responsible for Data Governance and Management across key functions including AFC, Compliance, and Legal. The team supports these functions in establishing and improving data governance to achieve critical business outcomes such as effective control operation, regulatory compliance, and operational efficiency. The CAFC Data Governance and Management team implements Deutsche Banks Enterprise Data Management Frameworkfocusing on controls, culture, and capabilitiesto drive improved data quality, reduce audit and regulatory findings, and strengthen controls. As a member of the Divisional Data Office, the role holder will support both Run-the-Bank and Change-the-Bank initiatives, with a particular focus on Financial Crime Risk Assessment (FCRA) data collation, processing, testing, and automation. Your key responsibilities Document and maintain existing and new processes; respond to internal and external audit queries and communicate updates clearly to both technical and non-technical audiences. Independently manage the FCRA data collection process including data collection template generation, quality checks, and stakeholder escalation. Execution of data cleansing and transformation tasks to prepare data for analysis. Perform variance analysis and develop a deep understanding of underlying data sources used in Financial Crime Risk Assessment. Documentation of data quality findings and recommendations for improvement/feeding into the technology requirements. Work with Data Architecture & developers to design and build data FCRA Risk data metrics. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. To ensure new data sources align with Deutsche Banks Data Governance standards, maintain metadata in Collibra, visualize data lineage in Solidatus, and ensure certification and control coverage. Automate manual data processes using tools such as Python, SQL, Power Query and MS excel to improve efficiency and reduce operational risk. Translate complex technical issues into simple, actionable insights for business stakeholders, demonstrating strong communication and stakeholder management skills. Your skills and experience 6+ years of experience in data management within financial services, with a strong understanding of data risks and controls. Familiarity with industry-standard frameworks such as DCAM or DAMA (certification preferred). Hands-on experience with Data cataloguing using Collibra, Data lineage documentation using Solidatus and Data control assessment and monitoring Proficiency in Python, SQL, and Power Query/excel for data analysis and automation. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively across global teams.

About You experience, education, skills, and accomplishments Bachelor degree is required. 3-5 years direct experience preferred working in a role required to manage customer and/or product data. Working knowledge of CRM, preferably Salesforce and order management and billing systems like Netsuite or Zuora. Experience with D&B, Zoominfo, and other 3rd party data providers is preferred. Must possess knowledge of data governance concepts Solid business acumen of business transactions and end-to-end sales processes. Experience with quality management practices including lean sigma is helpful Detail oriented and experience in audit and data cleansing. What will you be doing in this role: Daily Data Management Maintain data sets to designated level of quality and standards Review and monitor the quality of both new and reoccurring data sets. Monitor operational dashboards for anomalies and patterns indicating a broader existing or potential issue. Support sales, contract, and order processing teams in processing or correcting data directly affecting customer transactions. Support reporting and planning teams in rectifying data quality problems directly affecting operational reports. Collaborate with key global functions including sales, sales operations, customer support, fulfillment, order management and billing to reduce re-work. Ensure all business activities follow the governance rules and corporate compliance standards. Manage workflow via cases to support root cause analysis and overall data health measurements. Special Project Support Support data cleansing, mapping, or improvement projects initiated anywhere across the organization. Review Salesforce.com, NetSuite, and other data sources for data accuracy. Support testing of new or enhanced data acquisition and maintenance tooling and processes. Collaborate with global teams around the world in local time zones to discuss and troubleshoot issues. Talent Development & Management Be part of a high-performance culture working towards SMART objectives to measure his/her individual performance. Manage and take personal responsibility for ones professional development plan. Act as a strong contributor to an operating culture that makes possible collaboration, open communications, and a focus on talent development. Work with management to ensure clear role definitions, processes, ownership and expectations.

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Veeva Vault Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Offshore Migration Lead, you will oversee and coordinate offshore migration execution into the Veeva Vault platform. You will lead a team of migration specialists and analysts and BA, apply hands-on expertise in Vault migrations, SQL, and RDBMS, and collaborate with onshore counterparts to execute plans, manage timelines, resolve issues, and ensure compliance with quality standards. Roles & Responsibilities:-Lead and mentor a team of offshore migration specialists handling execution of document and metadata migration tasks.-Review deliverables and ensure adherence to migration standards, best practices, and compliance expectations.-Manage work allocation, backlog tracking, and progress reporting for offshore migration tasks.-Monitor the completion of daily/weekly migration targets, ensuring on-time and accurate delivery.-Perform root cause analysis on migration errors and coordinate with technical teams to resolve Vault Loader or API issues.-Validate output quality through spot checks, sampling, and test case validations.-Provide hands-on support when needed for migration jobs, SQL-driven data transformation, and validation checks.-Troubleshoot migration errors using Vault logs and work with developers or Vault SMEs to resolve blockers.-Act as the primary offshore contact for the onshore Migration Lead or Project Manager.-Ensure the offshore team follows controlled migration procedures and documentation protocols.-Maintain audit trails, job trackers, and version-controlled artifacts. Professional & Technical Skills: Must To Have Skills: Hands-on experience with Vault Loader and Vault REST APIs for document and object migration.-Strong command of SQL for data extraction, transformation, and validation.-Experience working with CSVs, XML, JSON payloads, and migration packaging.-Strong leadership and coordination skills in an offshore delivery model.-Excellent communication skills for daily sync-ups, reporting, and issue escalations.-Attention to detail, quality orientation, and ability to manage workload under deadlines.-Familiarity with regulatory requirements in GxP, 21 CFR Part 11 contexts.-Familiarity with Vault metadata models, document types, lifecycles, and object structures.-Experience with PromoMats / MedComms / Quality Suite / RIMS / Clinical and other Vault domains.-Proficiency in working with RDBMS like Oracle, SQL Server, PostgreSQL, or MySQL.-Experience in writing complex joins, subqueries, case statements, and data cleansing scripts.-Familiarity with legacy content/document systems such as Documentum, SharePoint, Calyx Insight, OpenText.-The candidate should have experience leading offshore migration teams for Veeva Vault projects.-Prior experience in regulated environments (GxP, 21 CFR Part 11) is required.-A minimum of 3-5 years of experience in Vault migrations is expected. Additional Information:-The candidate should have a minimum of 3 years of experience in Computer System Validation (CSV).-This position is PAN-INDIA based.-A 15 years full-time education is required. Qualification 15 years full time education