294 Data Cleansing Jobs - Page 3

Infinite Computer Solutions India Pvt. Ltd. is looking for Billops 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.

Armanino is proud to beAmong the top 20 Largest Accounting and Consulting Firms in the Nationand one of theBest Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you dont check-out of life when you check-in at work. Thats why weve created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas. This open position is for Armanino India LLP, which is located in Ahmedabad, Gujarat, India. Armanino India LLP is a fully owned subsidiary of Armanino. Job Responsibilities Collecting and cleaning data from various sources. Accurately input data into CRM and other third-party systems. Perform regular updates to existing data entries to reflect current information. Execute mass data loading procedures into the CRM and third-party applications while adhering to best practices to avoid data corruption. Monitor and troubleshoot any issues that arise during data loading processes. Ensuring data quality, accuracy, and consistency across all data sources. Conduct regular audits of data to ensure accuracy, completeness, and consistency. Maintain comprehensive documentation of data sources, processes, and data management best practices Bachelors Degree in relevant field. 1 to 3 years of proven experience in data entry, data management, or a similar role. Strong skills in data cleaning, processing, and validation. Proficiency with CRM systems and experience in mass data loading. Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams. Ability to work independently and manage multiple tasks simultaneously. Excellent organizational skills and attention to detail to detail with the ability to work with large data sets. A willingness to learn and adapt to new tools and technologies as needed. Compensation and Benefits CompensationCommensurate with Industry standards Other BenefitsProvident Fund, Gratuity, Medical Insurance, Group Personal Accident Insurance etc. employment benefits depending on the position. "Armanino is the brand name under which Armanino LLP, Armanino CPA Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall,transfer, leaves of absence, compensation and training. Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.

Description of the position/role: Design, develop, and maintain interactive dashboards and reports in Power BI to showcase key performance indicators and business trends. Write complex SQL queries to extract, manipulate, and analyze data from relational databases, ensuring data accuracy and integrity. Develop and implement Macros and VBA scripts to automate repetitive tasks and streamline data processing workflows. Collaborate with cross-functional teams to gather requirements, understand business needs, and translate them into technical specifications for reporting and analytics. Perform data analysis to identify trends, patterns, and anomalies, and provide recommendations based on findings. Ensure timely delivery of reports and analyses to meet business objectives and support decision-making processes. Troubleshoot and resolve any data-related issues, ensuring high-quality data for reporting and analysis. Stay updated on industry trends and best practices related to data visualization and analytics. Requirements: Bachelors degree/Diploma in data science, Information Technology, Business Analytics, or a related field. 2 to 5 years of experience as Data or Business Analyst, Night shift ( 06 :00 PM to 03 :00 AM) Proven experience in data analysis and business intelligence, specifically using Power BI, SQL, and Macro/VBA. Strong understanding of database management systems and ETL processes. Proficient in writing SQL queries for data extraction and manipulation. Experience with Power BI, including DAX functions, data modeling, and report designing. Building relations, parameters and measures and Back-end formatting. Knowledge of Macros and VBA programming to automate tasks within Excel and other applications. Excellent analytical and problem-solving skills, with the ability to interpret data and offer actionable insights. Strong attention to detail and the ability to work independently as well as in a team environment. Good communication skills to effectively present findings and collaborate with stakeholders.

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

Data Migration Specialists play a crucial role in ensuring the successful transfer of data between systems. Their technical expertise in data extraction, transformation, and validation, coupled with strong communication and problem-solving skills, make them invaluable assets in data migration projects. Responsibilities Proficiency in data extraction and transformation tools Strong SQL querying and scripting skills Knowledge of ETL (Extract, Transform, Load) processes Familiarity with data modeling and database design principles Experience with data migration tools and software Understanding of data mapping and data transformation techniques Proficiency in data cleansing and data validation techniques Knowledge in PHP and Script writing Expertise in data profiling and data quality assessment Understanding of data security and privacy regulations Experience with data migration in large-scale enterprise environments Understanding of data synchronization and replication techniques Skills Required PHP, SQL

Title : S&C Global Network - Strategy - MC - Industry X - Smart Connected Professional Title : S&C Global Network - Strategy - MC - Industry X - Smart Connected Products- Consultant Job Title - + + S&C Global Network) > Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team.As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM toolsQualificationExperience:Minimum 5 years of experience is requiredEducational Qualification:Engineering & MBA Preferred

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 12 years of experience required Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, data quality, and data integration principles.

About Us Work with the World of Talent. Global, culturally diverse, inclusive, and innovative - welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionizing how organizations approach talent acquisition, AMS stands as a world leader in the industry. Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us. https://www.weareams.com/ The Role At AMS, talent is our world and now, we're expanding that world with a fresh perspective. Our newly established Insights & Intelligence team is a global group of innovators and data experts, dedicated to revolutionising talent services through the power of data. Together, we uncover our clients' unique needs and translate them into actionable insights, empowering Talent Acquisition teams to excel. he Specialist Data Mining plays a key role in ensuring the availability and accuracy of comprehensive data sets by collecting, cleaning, and processing relevant client operational data, AMS aggregate data, external market data, and other trusted sources. This position is instrumental in enhancing data mining practices through the adoption of best practices, advanced technologies, and innovative techniques. Role & Responsibilities Implementing automation tools to streamline the data collection process and increase efficiency Following standardization guidelines, creates procedures for extracting data from identified sources, ensuring consistency and reliability. Conducting validation checks to confirm the integrity and accuracy of the cleaned data before it is made available for analysis Refining and optimizing statistical models and reports based on performance evaluations Skills & Experience Minimum 3 years of experience in Data Mining. Technical skills: Data Modelling, VBA, Macros, SQL, Power Query, Power Apps, SharePoint Development, Data Visualization and Data Cleansing. Experience interpreting complex data sets and presenting insights to both technical and non-technical stakeholders Extensive experience in identifying, gathering, and integrating internal and external data sets Experience in ensuring data quality by handling and addressing missing values and inconsistencies Why AMS? At AMS, we recognize the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems. We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. Its our world but you can do it your way. We offer: Full training and support High value and challenging work A vibrant, diverse, and collaborative culture Flexible working A competitive reward and benefits package* *Details may vary slightly depending on your location, local labour law, etc. Our culture of inclusion and belonging. We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic. Hit the Apply now button to get your journey started!

Job Title: SAP Analytics Cloud Analyst Career Level : C3 Introduction to role: Are you ready to play a central role in transforming AstraZenecas business processes through automation, analytics, and AIJoin our Process Insights team within Global Business Services as an SAP Analytics Cloud Analyst. We are seeking specialists in SAP Analytics (Datasphere Analytics Cloud) to scale our capabilities and deliver impactful solutions across AstraZeneca. Dive into meaningful work that makes a bigger impact and helps shape the future of healthcare! Accountabilities: Collaborate with collaborators to understand their business process requirements and objectives, translating them into SAP Analytics solutions (SAC Datasphere). Create Extract, Transform, and Load (ETL) data pipelines, data warehousing, and testing. Validate and assure data quality and accuracy through data cleansing, enrichment, and building data models. Develop comprehensive analytics and dashboards for business stakeholders for reporting, business planning, and KPI tracking purposes. Enhance solution experiences and visualizations using low/no-code development. Essential Skills/Experience: Degree in Computer Science, Business Informatics or a comparable degree. Overall 5-7 years of experience and at least 2 years experience working on SAP SAC / Datasphere solutions as a Data Analyst and/or Data Engineer. Experience in SAP Datasphere, ETL, building data pipelines, preparing and integrating data, data modelling, understanding of relational data modelling and denormalization techniques. Experience in SAP Analytics Cloud in creating advanced analytics/dashboards i.e. stories, boardrooms, planning. Knowledge of analytics standard processes. Understanding of SAP related Finance and/or Operations processes will be valued. Certification in one or more of the following will be appreciated: SAC Data Analyst, Data Engineer, Low-Code/No-Code Developer. Superb communication skills and ability to work in an Agile environment. Energetic, organised and self-motivated. Fluent in business English. Desirable Skills/Experience: NA At AstraZeneca, youll be part of a distributed team that drives excellence and breakthroughs. Here, you can apply your skills to genuinely impact patients lives while shaping our digital transformation journey. With a focus on innovation and intelligent risks, we empower our teams to make a difference. Our collaborative environment fosters learning, sharing, and celebrating successes together. Join us as we harness radical technologies to achieve more and contribute to society. Ready to make an impactApply now to join AstraZenecas dynamic team! 13-Jun-2025 13-Jun-2025

Job responsibilities - 4+ years of experience in developing highly available and scalable web applications in an agile environment - 2+ years of experience building full stack applications with MongoDB, Express, React, Node.js (MERN technology stack), Vue.js and Strapi.js - Hands on experience building micro services architectures - Implementing search capabilities using tools such as elastic, solr and graph databases - Ability to look at a big picture and provide architectural solutions - Experience building applications using Postgresql database is a plus - Knowledge of data modelling, data staging, data pipelining, data cleansing is plus - Knowledge of building services using java stack is a plus - Excellent knowledge and working experience with AWS services such as EC2, S3, RDS, Lambda, API Gateway, SQS, and SNS

AMZN IN Transportation Execution team is looking for a PM (Program Manager) to identify, develop, integrate and support innovative solutions and programs driving transportation Transportation programs end to end across IN. Amazon s transportation systems get millions of packages to customers worldwide from checkout to shipment tracking to delivery. Our systems team owns the input for the services that handle thousands or requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers worldwide, maintain business rules for millions of unique products, and improve experience for online shoppers while optimizing the network to eliminate excess cost. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build a transportation network that scales the business, leads the industry through innovation and delights millions of customers worldwide. As a PM , you will be responsible development, process management and launch of new features and products. You will own services which model Amazons transportation network and carrier capabilities/constraints, optimizes it for cost and exposes it to other systems in Amazon. You will contribute business expertise to the program requests, manage configurations in Amazon tools, identify technical dependencies, co-ordinate will cross-functional teams, develop milestones and launch schedules, assess and manage risks, measure and report on progress, anticipate and resolve bottlenecks and balance the business needs with the technical constraints to ensure timely and successful delivery. These services improve customer experience by providing better promises and drive fulfillment planning and execution to lower transportation cost. It is critical part of Amazons ordering and fulfillment pipeline. Successful candidates will be strong leaders who can prioritize well, communicate clearly, and have a consistent track record of delivery. As a technical leader, you should be able to translate business needs into technology solutions that scale both technically and operationally. Understand basics of transportation systems end to end Lead a program charter and communicate with stakeholders Build competency on systems to solve key business problems Support team initiatives for learning, knowledge bank and operational reporting metrics Bachelors degree or equivalent 2+ years of program or project management experience Knowledge of Excel at an intermediate level (e.g., pivot tables charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)

What we offer: Group Summary: Job Responsibilities: Roles Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelors or Masters degree 4 - 7+ years Data Analysis experience Proficient in SQL Power BI Technical Skills - Power BI Desktop Service, Data Modeling (DAX Relationships), Power Query (M Language), Data Visualization UI Design, Paginated Reports (Power BI Report Builder), Power Automate Integration Data Skills - SQL, Data Warehousing, Data Cleansing Transformation Business Analytical Skills -Requirement Gathering, Data Storytelling, KPI Metrics Development Administration Security - Row-Level Security (RLS), Power BI Service Administration Other Relevant Skills- Python/R (Optional), Excel (Power Pivot, Power Query), Idea of Project Management Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Worker Type: Regular / Permanent Group: Magna Powertrain

Join us as a MI Reporting Engineer at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. To be successful as a MI Reporting Engineer you should have experience with: Hands on experience in developing complex/medium/easy reports in Tableau, QlikView SAP BO reports. Comfortable with Extracting, transforming and loading data from multiple sources such as Teradata and Hive into BI tools. Experience in Snowflake / AWS Quicksight preferrable. Create performance efficient data models and dashboards. Solid working knowledge of writing SQL queries in Teradata and Hive/Impala Experience in writing PySpark queries and exposure to AWS Athena Attention to details with strong analytical and problem solving skills. Exceptional communication and interpersonal skills Comfortable working in a corporate environment, someone who has business acumen and an innovative mind-set Some other highly valued skills includes: High level understanding of ETL processes Banking domain experience Quantitative mind set, with a desire to work in a data-intensive environment Familiarity with Agile delivery methodologies and project management techniques You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To design and develop compelling visualizations that effectively communicate data insights to stakeholders across the bank, influencing decision-making and improving business outcomes. Accountabilities Performing exploratory data analysis and data cleansing to prepare data for visualization. Translation of complex data into clear, concise, and visually appealing charts, graphs, maps, and other data storytelling formats. Utilisation of best practices in data visualization principles and design aesthetics to ensure clarity, accuracy, and accessibility. Documentation of visualization methodologies and findings in clear and concise reports. Presentation of data insights and visualizations to stakeholders at all levels, including executives, business users, and data analysts. 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.

You will be part of the global Marketing & Creative Services team and will be responsible for working with marketing teams (onshore & offshore) to Build enterprise data and analytics solutions generating meaningful KPI dashboards for Capgemini Group Drive BI and Data Analytics solutions for measuring strategies aligned to marketing and business objectives. Understand the overall digital landscape of the organization as well as that of key competitors. Key Responsibilities Participate in marketing/campaign briefing, solution architecture building and design activities. Manage the implementation of tracking tags using Google Tag Manager to measure web & marketing campaign performance Develop integrated corporate visualization solutions derived from multiple data sources using state-of-the-art tools to enable insight and decision-making at various levels Develop data models, including performance measures, to enable scorecard analysis Perform ad-hoc analysis and present results in a clear manner Learn and establish data visualization standards and explore new, cutting-edge tools to periodically raise those standards Ensure accuracy, completeness and timeliness of reporting through proactive awareness, alerts, testing and processes Perform exploratory data analysis and data pre-processing to arrive at patterns and trends. Communication Working closely with the platforms team, digital & marketing teams. Collaborate with wider business stakeholders from Group Good presentation skills for reports and dashboards Specification / Skills / Experience Must have high level of proficiency in data visualization tools - Power BI and/or Looker Studio, and/ or Tableau, DOMO Hands on experience in implementing and managing Google Tags solutions using GTM or other tag management tools Experience with JavaScript, HTML, and CSS for custom tag implementations will be an Add on Strong understanding of digital marketing KPIs & tracking methods. Capability to create data story with the help of dashboard in defined timelines Strong knowledge of data warehouse concepts including: data modelling, data quality, ETL, reporting, analytics, and visualization Good grasp over Amazon AWS/RedShift/Azure/GCP or other Datawarehouse providers Knowledge on data extraction and data cleansing methodologies Must have proficiency in SQL to write analytical queries, create filters and calculated data sets Strong critical thinking, analytical, organizational, interpersonal, verbal and written communication skills Highly motivated and able to work independently as well as in a team environment Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment Excellent analytical skills with demonstrated ability to solve problems Agile mindset and good understanding of MVP / iterative development is desired

We are seeking a highly detail-oriented and technically adept 3D Data Annotation Specialist to join our growing team. This role is critical in shaping high-quality datasets for training cutting-edge AI and computer vision models, particularly in domains such as LiDAR data processing, and 3D object detection. Roles and Responsibilities Qualifications: B.Tech in Computer Science, IT, or related field preferred (others may also apply strong analytical and software learning abilities required). Strong analytical and reasoning skills, with attention to spatial geometry and object relationships in 3D space. Basic understanding of 3D data formats (e.g., .LAS, .LAZ, .PLY) and visualization tools. Ability to work independently while maintaining high-quality standards. Excellent communication skills and the ability to collaborate in a fast-paced environment. Attention to detail and ability to work with precision in visual/manual tasks. Good understanding of basic geometry, coordinate systems, and file handling. Preferred Qualifications: Prior experience in 3D data annotation or LiDAR data analysis. Exposure to computer vision workflows. Comfortable working with large datasets and remote sensing data Key Responsibilities: Annotate 3D point cloud data with precision using specialized tools [ Training would be provided] Label and segment objects within LiDAR data, aerial scans, or 3D models. Follow annotation guidelines while applying logical and spatial reasoning to 3D environments. Collaborate with ML engineers and data scientists to ensure annotation accuracy and consistency. Provide feedback to improve annotation tools and workflow automation. Participate in quality control reviews and conduct re-annotation as needed

Data Cleansing & Integration Project Delivery: Execute high visibility data programs as assigned by the Data Cleansing Manager. Utilize SAP data load solutions such as SAP Migration Cockpit and LSMW for data loading and template creation. FDO Data Change Management Methodology: Assist in defining data cleansing approaches using Mass Change functionality. Develop and prepare data cleansing strategies. Data Cleansing & Integration Technical Guidance: Understand SAP landscape and data flow to underlying/consumed systems to prevent data synchronization issues. Data Quality: Collaborate with the Data Quality (DQ) team to define DQ rules and enhance visibility of existing data quality. Data Governance: Work with the Data Governance (DG) team to ensure proper governance before implementing system changes. Conduct necessary data load testing in test systems. Data Sourcing: Maintain and update the data catalogue/data dictionary, creating a defined list of data sources indicating the best versions (golden copies). Data Ingestion: Collaborate with DG and project teams on data harmonization by integrating data from multiple sources. Develop sustainable integration routines and methods. Qualifications: Experience: Minimum of 6 years in data-related disciplines such as data management, quality, and cleansing. Technical Skills: Proven experience in delivering data initiatives (cleansing, integration, migrations) using established technical data change methodologies. Proficiency in handling large data sets with tools like Microsoft Excel and Power BI. Experience with SAP native migration and cleansing tools such as SAP Migration Cockpit, LSMW, and MASS. Knowledge of Master Data Management in SAP MDG, SAP ECC, and associated data structures. Collaboration: Ability to work effectively with internal cross-functional teams.

Role: SSIS Developer Skillset: SSIS, ETL (Extract Transform Load), TSQL Experience: 6-8 years Location: Noida and Chennai Job Description: At least 3 years of IT experience in Data Migration preferable SAP Data Migration. Extensive experience in ETL process. Thorough understanding of the Data migration activities like Data Cleansing, Data Mapping, Transformation and Data Load activities. Design and develop SQL Server stored procedures, functions, views and triggers to be used during the ETL process Experience working with SSIS packages Proficient with ETL tools such as Microsoft SSIS Knowledge in SAP ABAP, LTMC and LTMON will be an added advantage. Experience in managing data cutover activities and status reporting back to the cutover lead. Practical knowledge of SAP objects and import methods is good to have Worked on at least 2 E2E Data Migration projects. Understanding of SAP Finance, SAP SD, SAP MM, Business partner and Material Master migration from SAP ECC or Open-source system to S/4 HANA is preferable Extensively used Microsoft Excel, Project, Visio, PowerPoint, Word and MS Office products for data Analysis and data migration. Ability to communicate complex technical concepts to senior, non-technical audiences. In-depth understanding of Data Management and Migration strategies and methodologies. Good understanding of Agile and Waterfall methodologies.

We are seeking an experienced Product Manager-Data Management to lead the development and adoption of our 3rd party data platforms, including D&B and other similar platforms. The successful candidate will be responsible for driving the integration and utilization of 3rd party data across marketing campaigns, improving data quality and accuracy, and expanding the use cases and applications for 3rd party data. About the Role Develop and execute a comprehensive strategy for 3rd party data platform adoption and expansion across the organization, with a focus on driving business outcomes and improving marketing effectiveness. Collaborate with marketing teams to integrate 3rd party data into their campaigns and workflows and provide training and support to ensure effective use of the data. Develop and showcase compelling use cases that demonstrate the value of 3rd party data in improving marketing effectiveness and measure the success of these use cases through metrics such as adoption rate, data quality, and marketing ROI. Develop and maintain a roadmap for 3rd party data platform adoption and expansion across the organization, with a focus on expanding use cases and applications for 3rd party data and developing new data-driven products and services. Monitor and measure the effectiveness of 3rd party data in driving business outcomes, and adjust the adoption strategy accordingly Work with cross-functional teams to ensure data quality and governance, and develop and maintain relationships with 3rd party data vendors to ensure seamless data integration and delivery. Drive the development of new data-driven products and services that leverage 3rd party data, and collaborate with stakeholders to prioritize and develop these products and services. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). About You 12+ years of experience in data management, product management, or a related field. Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Experience with data management tools such as data warehousing, ETL (Extract, Transform, Load), data governance, and data quality. Understanding of the Marketing domain and data platforms such as Treasure Data, Salesforce, Eloqua, 6Sense, Alteryx, Tableau and Snowflake within a MarTech stack. Experience with machine learning and AI frameworks (eg, TensorFlow, PyTorch). Expertise in SQL and Alteryx. Experience with data integration tools and technologies such as APIs, data pipelines, and data virtualization. Experience with data quality and validation tools and techniques such as data profiling, data cleansing, and data validation. Strong understanding of data modeling concepts, data architecture, and data governance. Excellent communication and collaboration skills. Ability to drive adoption and expansion of D&B data across the organization. Certifications in data management, data governance, or data science is nice to have. Experience with cloud-based data platforms (eg, AWS, GCP, Azure) nice to have. Knowledge of machine learning and AI concepts, including supervised and unsupervised learning, neural networks, and deep learning nice to have. What s in it For You Hybrid Work Model: we've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial we'llbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Stakeholder Collaboration & Business Engagement Participate and engage in Data Quality implementation discussions with business and technical product owners in procurement. Participate in architecture discussions around the Data Quality framework. Collaborate with business users from procurement, P2P finance, supply chain etc to capture Business rules. Provide business requirements to BODS / LSMW team to enable data loads. Review and track exceptions for data quality rules and incorporate logic in the tool. Identify and investigate continuous improvement opportunities in the data standards, data quality rules, and data maintenance processes for each master data object by working with Business and other MDM Teams as required. Ensure to capture sign off from key stakeholders at critical stages of the project. Data Quality Rules & Standards Definition. Define and document data quality rules based on business requirements, functional specifications, and compliance needs. Derive technical definitions for agreed business rules / Data Quality rules to support tool development. Support Rule development in DQ tool. Review and validate rule output and inform business. Data Profiling, Cleansing & Monitoring Create and maintain data quality dashboards and reports to track improvements and errors. Review data profiling results for supplier master data and identify opportunities for data cleansing. Support the design and execution of the Data Quality Framework. Perform root cause analysis and recommend process changes and system controls. Perform pre-validation and post-validation as part of Data cleansing execution. Supplier/vendor Master Data Management (SAP) Manage and maintain supplier Master data in SAP where BODs cannot be used. Ensure data accuracy, consistency, and completeness across all supplier master records. Drive discussions on obsolete records identification and define the deactivation criteria. Data Migration, Integration & Tool Support Work closely with IT teams to support data migration, cleansing, and validation activities during SAP projects or enhancements. Perform process analysis and translate business issues and requirements into actionable plans to improve the Master Data Process from a tool and programming perspective. Recommend system and process enhancements to improve data quality and governance practices. Skills required 10+ years experience in SAP vendor Master objects along with knowledge on SAP T-codes and fields Hands-on experience in creating, maintaining, and validating supplier/vendor master data in SAP Good understanding of purchase order process, invoice process, payment process etc within P2P. Familiarity with industry-specific rules in procurement, P2P finance, various vendor types. Knowledge of supplier/vendor lifecycle processes (creation, change, extension, obsolescence, deletion) Strong skills in data quality rule definition, documentation, and enforcement Experience with data profiling, cleansing, and standardization techniques Ability to perform root cause analysis of data issues and recommend remediation Working knowledge of SAP BODS (BusinessObjects Data Services) for ETL, transformation, and data quality operations Ability to provide functional input for BODS developers - mapping rules, logic, validation Hands-on experience with SAP LSMW - recording, field mapping, conversion rules, batch input methods Understanding of data load processes and best practices for data migration in SAP Strong skills in data validation techniques - pre-load and post-load checks, reconciliation, exception reporting Ability to interpret and analyze SAP data using SE16N, SQVI, and custom reports Ability to document data standards, data definitions, and quality rules Technical skills in exploring, analysing, profiling, manipulating data sets through Excel, Power BI, SAP IS, Tableau etc Good understanding of Ariba, SAP ECC, SAP MDG.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data profiling and data cleansing methodologies.- Familiarity with database management systems and SQL.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Property and Casualty Insurance Good to have skills : Business AnalysisMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Additionally, you will research, gather, and synthesize information to contribute to the success of the organization. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Conduct thorough analysis of business processes and systems.- Identify areas for improvement and propose solutions.- Collaborate with stakeholders to gather and document business requirements.- Create and maintain project documentation.- Assist in the development and execution of test plans.- Conduct user acceptance testing and provide feedback.- Support the implementation of new processes and systems.- Provide training and support to end-users.- Stay up-to-date with industry trends and best practices.- Assist in the development and implementation of change management strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Property and Casualty Insurance, Business Analysis.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.- Strong understanding of business process modeling and analysis.- Experience in conducting stakeholder interviews and workshops.- Ability to translate business requirements into functional specifications.- Familiarity with data analysis and visualization tools.- Ability to work effectively in a cross-functional team environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Property and Casualty Insurance and Business Analysis.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. You will shape and manage the product roadmap and product backlog, ensuring the product team consistently delivers on the clients' needs and wants. You will validate and test ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Lead the product vision and strategy.- Collaborate with stakeholders to define product requirements.- Prioritize and manage the product backlog.- Facilitate communication within the product team and with external stakeholders.- Analyze market trends and competition to inform product decisions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Analytics.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Data Management - Microsoft Fabric Designation: Data Eng, Mgmt & Governance Assoc Mgr Qualifications: BE/BTech Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIEnd to end, unified analytics platform that brings together existing offerings like Data Factory, Synapse, and Power BI into a single unified product for all your data and analytics workloads. What are we looking for Microsoft Fabric Microsoft Azure PySparkStrong analytical skillsAbility to establish strong client relationshipAbility to manage multiple stakeholdersAbility to perform under pressure Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech