300 Data Cleansing Jobs - Page 12

Amazons Financial Risk Mitigation (FRM) team works to ensure that bad actors cannot profit from using our services to abuse Customers, Selling Partners or our Store. The FRM Employee Experience Team empowers and enables our employees who support this program. We are seeking a highly motivated Program Manager, who will drive and manage the implementation of creative, data-driven initiatives within FRM, leading projects and initiatives to continuously improve FRM culture and employee engagement, you will be responsible for planning, managing and coordinating various projects and initiatives to improve the employee experience. Your focus is to ensure managers and associates receive information that helps them to grow and succeed in their role. You will work closely with cross-functional teams and stakeholders to ensure the successful execution of projects. The ideal candidate will demonstrate ownership, willingness to dive deep, and maintain focus on delivering results. You will be responsible for planning, executing, managing, and measuring employee experience projects that align with our business objectives. You will be a steward of the employee experience, and help deliver as we strive to be Earth s Best Employer. Key job responsibilities Manage projects from inception to completion, including small, medium, and large-scale employee experience projects across the FRM business Develop detailed project plans and schedules, identify resources needed, and assign responsibilities Continuously monitor project progress, track milestones and deliverables, and ensure timelines and budgets are met Proactively identify and resolve issues, including escalations when obstacles or blockers arise - Assist with employee research initiatives that help us identify pain points and opportunities to improve our products and strategies Dive deep into engagement data to surface trends, opportunities, and successes Write status report documents for internal and leadership review of current projects and strategic priorities - Bachelors degree - 3+ years of program or project management experience - 3+ years of defining and implementing process improvement initiatives using data and metrics 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.) - Experience defining program requirements and using data and metrics to determine improvements - Excellent written and verbal communication skills - Relevant experience communicating with and influencing a range of different stakeholders including senior management - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Relevant experience working in Employee Experience domain in a supply chain, logistics, or operations environment

Master data is a critical business asset with a significant impact on business performance and decision-making. Properly managed and high-quality master data will enable the company to drive business results, while poorly controlled and low-quality data will lead to higher costs and missed opportunities. You will apply data governance best practices in the delivery of master data management services, ensuring that high-quality ( timely , complete, accurate , and consistent) master data is delivered, maintained , and used to drive business results. You will be responsible for delivering master data management services globally, supporting the implementation of systems in partnership with ITS, leading continuous improvement initiatives, and driving global standardization. Role Accountabilities Provide support to the business managing master data effectively to ensure proper controls, high master data quality and efficient process performance: Perform the creation and maintenance of master data records in a timely manner and in accordance with procedures, quality standards and rules. Administer master data workflow tools, processes and the execution of mass updates. Ensure high quality and full validation of master data according to data governance standards and rules. Undertake regular data cleansing activities to raise the quality of each record to target levels. Support controls and regular checks to ensure compliance with internal control, standards and rules. Maintain VMS and identify requirements to effectively track KPIs. Keep proper maintenance of SOPs. Provide first line of support to the business in investigating and solving master data issues of medium to high level of complexity. Qualifications Bachelors degree in Business Administration or Engineering or related field. 2-8 years of Master Data management experience. Advanced Microsoft Excel proficiency . Advanced SAP user. Knowledge of Power BI, Power App, WinShuttle , Macro and/or SAP scripting. Clear understanding of Product Master Data principles, quality, practices and their relationship with business Finished Product knowledge and expertise in areas such as planning, manufacturing, BOM, marketing, finance

Data Analysis & Insights, Retail Data Analytics, Data Processing, Statistical Modeling & Forecasting, Reporting. WhatsApp CV only text +91 8660770495 (no unsch calls pls) Email CV: cv@archangelhr.in, hr@archangelhr.in, hi@archangelhr.in Required Candidate profile B.Tech or equal, with hands-on industry experience in data analysis, R or Python

Role: Master Data Team Lead (Projects) Reporting to Global MDM Manager Technical Competencies: Should have hands on experience on Master data creation and maintenance (Material / Vendor / Pricing / Customer / PIRs / Source List/BOM data etc) Hands on experience on SAP toolsets in Data space including Data extraction programs from SAP, SQVIs, ETL processes, Load programs, LSMW, LTMC, BODS, data quality maintenance and cleansing etc. Knowledge of Request Management tools eg: SNOW, Remedy etc Knowledge of key database concepts, data models, relationships between different types of data An understanding of end-to-end set-up and business impact of master data key fields Knowledge about SAP, S/4 HANA, SAP-MDG, Ariba , SFDC, MW (Informatica etc) or additional ERP platforms, IT tools and technologies is desirable Experience in Data Management Processes (Data Profiling & Cleansing, Workflows, Data Quality, Governance Process, relationships & dependencies with IT teams etc.), or functional knowledge in SAP MM/PP or OTC modules will be an added advantage Should have prior experience of handling a team. Primary Responsibilities/ Role Expectations: As an MDM Team Lead, the role would involve: Getting adept with MDM process and gaining knowledge by initially working on daily business requests for master data objects - creation / update / obsolete / reactivate. Responsible for holding key business stakeholder interactions for feedback, business requirements and to maintain data governance and data quality. Testing master data creations/updates across tools and interfaces Participation in key projects - S/4 HANA global implementation support as functional master data management expert Work with project team on definitions, design, build and implementation of in-scope technology solutions Support MDM 360/MDG Workflows design and deployment ensure integrity of the solution, user acceptance testing, end-user tools and documentation, training, and support Multiple stakeholder interaction and leading a team to meet the above deliverables Keep inhouse team engaged & updated on MDM projects (S4, MDG, MDM360 etc) & key activities (Data Quality etc) Getting the team and the allocated region ready for future additional tasks/requirements/projects as and when needed Responsible for maintaining data governance, data quality and for data cleansing activities Mentoring the team members on topics of expertise Strong ownership focus, drive to excel & deliver Flexibility to work in shifts. Other Skills & Experience: Professional experience of ~ 8 - 10 years Good communication skills, stakeholder alignment, experience of interaction with end clients/ international colleagues across geographies Ability to resolve conflicts, share, collaborate and work as a leader for the allocated team.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Informatica MDM Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in Informatica MDM Strong understanding of data management principles and practices Experience in designing and implementing data integration solutions Knowledge of data quality and data governance concepts Experience with data modeling and database design Good To Have Skills: Experience with ETL tools such as Informatica PowerCenter Experience with data profiling and data cleansing Familiarity with master data management best practices Additional Information: The candidate should have a minimum of 7.5 years of experience in Informatica MDM This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

The purpose of this role is to ensure efficient and effective management of data within the organization by leveraging Microsoft Fabric. Should also be aware of Power BI, tabular editor. Job Description: Key Responsibilities: Data Extraction and Integration: Extract data from various data lakes and integrate it into Microsoft Fabric. Ensure seamless data flow and integration between different data sources and Fabric. Data Modeling: Design and implement data models within Microsoft Fabric. Develop and maintain data pipelines to support data transformation and loading processes. Optimize data models for performance and scalability. Data Transformation and Processing: Utilize Microsoft Fabric tools to transform raw data into actionable insights. Implement data cleansing, enrichment, and validation processes. Collaboration and Communication: Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and deliver solutions. Provide technical guidance and mentorship to junior team members. Performance Monitoring and Optimization: Monitor the performance of data models and pipelines. Identify and resolve performance bottlenecks and ensure data accuracy and reliability. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to ensure efficient and effective management of data within the organization by leveraging Microsoft Fabric. Should also be aware of Power BI, tabular editor. Job Description: Key Responsibilities: Data Extraction and Integration: Extract data from various data lakes and integrate it into Microsoft Fabric. Ensure seamless data flow and integration between different data sources and Fabric. Data Modeling: Design and implement data models within Microsoft Fabric. Develop and maintain data pipelines to support data transformation and loading processes. Optimize data models for performance and scalability. Data Transformation and Processing: Utilize Microsoft Fabric tools to transform raw data into actionable insights. Implement data cleansing, enrichment, and validation processes. Collaboration and Communication: Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and deliver solutions. Provide technical guidance and mentorship to junior team members. Performance Monitoring and Optimization: Monitor the performance of data models and pipelines. Identify and resolve performance bottlenecks and ensure data accuracy and reliability. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That s what we re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. 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 to comply with GDPR requirements and your local Data Privacy Law. Worker Type: Regular / Permanent Group: Magna Powertrain

Immediate Job Opening Informatica CDQ Developer (Contract Position) We are hiring Informatica CDQ Professionals with 4 to 8 years of experience for a contract position (6 months to 1 year). This is a Work from Office opportunity based in Mumbai. Job Details: Role: Informatica CDQ Developer Type: Contract (6 months to 1 year) Start Date: Immediate joiners preferred Skills Required: Strong hands-on experience with Informatica Cloud Data Quality (CDQ) Expertise in data profiling, data cleansing, and implementing data quality rules Solid knowledge of data governance and data management Strong troubleshooting and performance optimization skills

The opportunity Senior Associate at Markets team supports the Account Manager and the Account Leadership team; Global Client serving Partner, Global Client Executive to develop and manage relevant activities on designated Priority accounts. The Senior Account Coordinator will be expected to provide high quality and insightful support to account teams on Go-to-market activities. The Senior Account Coordinator will build network across the account leadership and within GDS to develop account knowledge to benefit the regional/global Account team and our relationship and business with the client. Your key responsibilities Account Management Own account reporting and ensure relevant stakeholders receive and understand reported data In liaison with the Client Service Partner and Director, own the account planning process and ensure regular reviews against planned milestones and targets. Understand the strategic communication and stakeholder engagement requirements to progress the account plan agenda, and work with global teams to respond and deploy Provide relevant knowledge to Account teams focus on dissemination of business analysis and research, competitive intelligence and relevant firm thought leadership To liaise and work with onshore account teams and internal business services groups to scope new support requirements, build processes for the execution of account management tasks, and ensure effective transition of work to the remote GDS support platform Client Relationship Development Contribute to complex account and business development needs, including global account planning, go-to-market research and strategy, pursuit or sales support, pitch development, among others Work with BMC point of contact to plan and execute marketing initiatives that directly drive revenue Accelerate strategy execution, particularly around prioritized Regions and strategic solutions. Understand market trends, what is on our clients' agenda and how these translate into revenue generating opportunities. Monitor solution revenue to understand success, opportunities, underperformance Communication Coordinate with global network of regional account team meetings. Send updated account and sector content and information. Develop and maintain relationships with service lines, Accounts, Market Segments, Emerging Markets and subsectors to serve as a two-way conduit for connection and communication Responsible for working to develop high impact relationships and embedding ABD support into the processes of the accounts Responsible for project management, quality control, review of deliverables, and for embedding the principles of exceptional client service of being connected, responsive and insightful in our support to the account teams and ABD stakeholders Facilitation of knowledge sharing Skills and attributes for success Succinct and structured oral and written communications skills with proven ability to explain complex concepts in a crisp, clear, concise, and graphic-rich style, using appropriate analytics and visualization tools. Experience in Account Management and preparing sales and pipeline reporting, as well as providing insightful analysis on the impact of those trends for EY and its clients Experience in Microsoft tools like excel and PPT To qualify for the role, you must have Any Graduate 4-8 years' experience in Account management and data reporting and analysis Strong Excel and PowerPoint skills. Demonstrated strong written and oral communication skills Ability to use both qualitative and quantitative research and analysis methodologies, including financial analysis skills, to synthesize information, review data inputs and provide analytic insights Ideally, you’ll also have Account Management and data reporting skills Exposure to tools like Tableau, PowerBi etc. Credible experience working in a fast-moving, client-driven environment Technologies and Tools Microsoft 365 Products, Apps, and Services Experience using Procurement portals (i.e., SAP Fieldglass or Ariba) What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment A professional with strong interpersonal skills - confidence, maturity & ability to build strong client relationships

Hiring for one of our clients in Pune Job Type- Contract to Hire (6 months) conversion based on performance Roles & Responsibilities: Working closely with the Data Cleansing team on assigned task to gather missing information from agreed sources as per timelines. Helping the project Team with best practices to prepare cleansing files and good understanding key field mapping in excel template. Good to have SAP end-user experience to ensure familiarity with SAP terminologies. Work closely with the team to ensure respective governance is being obtained before making any changes in the system and to ensure necessary data load testing are performed in the test system. Contribute to gather missing information data attributes from multiple sources with 100% accuracy Job Requirement: 5+ years of experience predominantly in data related disciplines such as master Data Analyst, quality, and cleansing Experience in delivering data cleansing/migration initiatives Experience in manipulation of large data sets in tools such as Microsoft Excel. Hands on experience on Mass change or creation of Master Data in SAP landscape Experience of SAP native migration & cleansing tools, such as LSMW, MASS etc. Knowledge of Master Data Management in SAP MDG, SAP ECC and associated data structures. Work experience with internal cross functional Teams. Soft skills: good communications in English, Ready to take new challenges, Active listening and collaboration. Interested candidates please share updated CV to Angel.Caroline@in.ey.com

Role Summary: Construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provisio:n (IFRS9) models. Role Description Apply data wrangling and credit risk domain expertise in creation of modelling and monitoring databases and evaluating the quality of the same. Manage intermediate level case studies and challenges on around data collection, wrangling and data quality with minimal supervision. Perform root-cause analysis and resolve any team hurdles around data quality issues. Identify, develop and implement process and project enhancements. Know upstream and downstream processes of modelling data creation. Lead process governance meetings with stakeholders - modelling and IT teams. Represent and contribute to internal forums, and innovation. Profile Required: Understanding of Design and Development of Data Analytics. Good experience on SQL Queries and sound programming knowledge in analytical tools like SAS, Python, PySpark. Good to have awareness of Big Data and cloud based BI stack, emerging BI trend. Understanding of designing, defining and documenting solution architecture. Ability in gathering client requirements and work through specifications and develop solutions where appropriate in line with project documentation. Working within time guideline. Knowledge of credit risk modelling such as PD, LGD , CCF and IFRS9. Specific Context Client Focus, Team Sprit, Commitment, Responsibility, Ownership, and Innovation Environment At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether youre joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Groups ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

We are looking for an experienced SAP Data Migration Specialist who will be responsible for leading the migration process from SAP ECC to SAP S/4HANA. The ideal candidate should have a deep understanding of SAP Data Migration processes, including Data Cleansing, Data Analytics, and Data Profiling, along with the ability to manage a team of professionals across parallel projects. Key Responsibilities: Lead the migration process from SAP ECC to SAP S/4HANA. Oversee data cleansing, transformation, and validation processes. Provide subject matter expertise on SAP Data Migration and guide the team. Execute data cleansing activities and resolve data quality issues. Develop and implement migration strategies to ensure data integrity. Perform data analysis, transformation, and standardization according to S/4HANA requirements. Collaborate with project managers, business users, and technical teams to address data issues. Document and report on data quality, progress, and migration status. Qualifications: Education : Bachelors degree in computer science, Information Systems, or related field. Experience : At least 8 years in SAP Data Migration, including 4 years of hands-on experience with SAP S/4HANA migration. Strong expertise in Data Cleansing, Data Analytics, Data Profiling, and Data Migration tools. Experience with SAP MDG methodology and modules is a plus. Certifications : SAP MDG certification is preferred but not mandatory. Ability to manage multiple projects and meet deadlines. Desired Attributes: Strong communication and collaboration skills. Ability to mentor a team and manage project goals. Detail-oriented with a commitment to data accuracy. 4-6 years of experience in SAP MDM and Data Migration projects. Hands-on exposure to data extraction, cleansing, transformation, validation, and ETL processes. At least 1 year of experience supporting SAP S/4HANA migration. Proficiency in SQL and familiarity with Data Migration tools. Good understanding of data profiling and analytics. Strong communication and collaboration skills.

The associate will act as the cornerstone for critical financial planning and reporting operations that empowers the US BPA team with actionable insights and accurate forecasts. System Ownership & Strategy: Take end-to-end ownership of local FP&A and reporting systems for the Central BPA team, ensuring synchronization with global systems. Define strategies and drive enhancements to BPA/reporting systems i.e. SAP BPC / S4HANA / SAC etc., ensuring alignment with Novartis financial goals and digital transformation priorities. Planning Cycles & Guidance: Set up financial planning scenarios in systems (Target, operationalization cycles like Latest Forecast / Latest Outlook etc.) Change Management & Collaboration: Act as the primary Single Point of Contact (SPOC) for the seamless implementation and rollout of S4HANA to the US BPA community to drive change management across systems and processes. Manage hierarchies, master data, and inputs/confirmations for the BPC (Business Planning Consolidation) application. System Accuracy & Synchronization: Ensure the accuracy of local financial planning/reporting systems, driving synchronization with global systems to maintain alignment between local and global BPA processes. Month-End Close Support: Provide vital support during month-end close activities, including data checks, validations, settlements, allocations, reporting, and analysis. System Changes & Reporting Adaptation: Manage changes to local systems, master data, data flows, and reporting structures to align with evolving business requirements. Incorporate changes to BPA reporting during special events/projects and restatements. Governance & Communication: Drive governance, communication, and collaboration across BPA teams on behalf of the Central team for key financial planning initiatives. Digital Finance Collaboration: Collaborate with Digital Finance teams to implement system enhancements, adopt new functionalities, and ensure continued stable operations of BPC systems. Ad Hoc Analysis: Address Basel/central team requests, providing ad hoc analysis on areas like sales/costs reporting, FTE utilization, MCF analysis, and more. Lead or support the creation and maintenance of consolidation reporting, as needed (e.g., TA / brand P&Ls, Functional cost views, etc. Advisory & Training: Deliver advisory inputs to the BPA community on best practices, process improvement, and system optimizations. Develop and maintain process documentation while conducting trainings for both the US and Hyderabad BPA teams. Essential Requirements: Team Management: Lead and manage a team of 4-5 professionals to ensure alignment with objectives and deliver high-quality results. Mentorship & Development: Guide, train, and mentor team members to enhance their technical and leadership skills. Performance & Accountability: Set clear goals, monitor team performance, and provide constructive feedback to drive continuous improvement. Motivation & Collaboration: Foster a culture of collaboration, innovation, and accountability while inspiring team members to perform at their best. Conflict Resolution: Address challenges within the team and ensure open, respectful communication. Building High-Performing Teams: Cultivate a cohesive and results-driven team environment, celebrating achievements and supporting growth opportunities. Desirable Requirements: Education: Bachelor s degree in finance, accounting, business, or related fields. Advanced certifications (e.g., CPA, CFA, MBA Finance, or equivalent) preferred. Experience: 7+ Years of relevant experience in Financial Planning, Consolidation, Systems Ownership, or Reporting roles. Hands-on expertise in FP&A systems (e.g., SAP BPC, S4HANA, SAC etc.) and financial reporting tools. Proven experience in successfully managing complex financial structures and systems upgrades. Familiarity with digital finance tools/processes and governance models.

We re Hiring: Senior Associate - Insights & Analytics at Chryselys Location: Hyderabad Department: Insights & Analytics Job Type: Full-time Reports To: Manager About Us: Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Role Overview: The Senior Associate will provide integral support to our ongoing client projects. Data Insights Analyst will leverage standard pharma industry datasets - Sales, claims, Payer datasets from IQVIA, Symphony and Veeva etc. to synthesize key insights to provide strategic recommendations and implications, as appropriate. A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients. Successful candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable performing univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics. On the tools side, The successful candidate should possess a strong background in a complex data processing environment using SQL platforms (like Redshift, Athena, Snowflake etc), Python/Jupyter Notebooks ( SageMaker etc) and Business Intelligence tools such as Tableau, Qlik, Quicksight. Key Responsibilities: Analyze Pharma datasets like IQVIA, Symphony, Veeva and Open data using SQL and cloud based data analytics tools to provide insights that solve client problems Synthesize and form recommendations using data visualization tools (QuickSight, Tableau, ThoughtSpot, etc.) and PowerPoint slides Analyze new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders Provide findings and final recommendations to client via written communication and formal presentations Understand client business issues, operating business rules, data and standard operating procedures What You Bring: Education: Bachelors or masters degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering Experience: 3-5 years of previous experience working with key pharmaceutical/biotechnology data sets like Sales, Claims, Payer and other secondary data. Skills: Extensive experience in building data pipelines, Data Lake architecture using AWS services Redshift,Athena, S3 . Must be proficient in Python and SQL Demonstrated experience with data processing, data analysis, profiling, data cleansing and standardization process Build data stories and visualization using Business Intelligence tools such as Tableau, Qlik, Quicksight etc. Excellent advanced SQL and analytical skills to query databases to perform data analysis to further enhance business analysis. Ability to demonstrate strong Microsoft Excel skills, including Pivots and macros Ability to work independently and collaborate with colleagues to accomplish team goals and deadlines Advanced problem-solving skills and build / elevate internal capabilities; Ability to adapt quickly in a constantly changing environment. How to Apply: Ready to make an impactApply now by clicking [here] or visit our careers page at https: / / chryselys.com / chryselys-career / Please include your resume and a cover letter detailing why you re the perfect fit for this role. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

About The Role : Job Title Data Engineer for Private Bank One Data Platform on Google Cloud Corporate TitleAssociate LocationPune, India Role Description As part of one of the internationally staffed agile teams of the Private Bank One Data Platform, you are part of the "TDI PB Germany Enterprise & Data" division. The focus here is on the development, design, and provision of different solutions in the field of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes. The PB One Data Platform is the new strategic data platform of the Private Bank and uses the Google Cloud Platform as the basis. With Google as a close partner, we are following Deutsche Banks cloud strategy with the aim of transferring or rebuilding a significant share of todays on-prem applications to the Google Cloud Platform. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Work within software development applications as a Data Engineer to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions. Partner with Service/Backend Engineers to integrate data provided by legacy IT solutions into your designed databases and make it accessible to the services consuming those data. Focus on the design and setup of databases, data models, data transformations (ETL), critical Online banking business processes in the context Customer Intelligence, Financial Reporting and performance controlling. Contribute to data harmonization as well as data cleansing. A passion for constantly learning and applying new technologies and programming languages in a constantly evolving environment. Build solutions are highly scalable and can be operated flawlessly under high load scenarios. Together with your team, you will run and develop you application self-sufficiently. You'll collaborate with Product Owners as well as the team members regarding design and implementation of data analytics solutions and act as support during the conception of products and solutions. When you see a process running with high manual effort, you'll fix it to run automated, optimizing not only our operating model, but also giving yourself more time for development. Your skills and experience Mandatory Skills Hands-on development work building scalabledata engineering pipelinesand other data engineering/modellingwork usingJava/Python. Excellent knowledge of SQL and NOSQL databases. Experience working in a fast-paced and Agile work environment. Working knowledge of public cloud environment. Preferred Skills Experience inDataflow (Apache Beam)/Cloud Functions/Cloud Run Knowledge of workflow management tools such asApache Airflow/Composer. Demonstrated ability to write clear code that is well-documented and stored in a version control system (GitHub). Knowledge ofGCS Buckets, Google Pub Sub, BigQuery Knowledge aboutETLprocesses in theData Warehouseenvironment/Data Lakeand how to automate them. Nice to have Knowledge of provisioning cloud resources usingTerraform. Knowledge ofShell Scripting. Experience withGit,CI/CD pipelines,Docker, andKubernetes. Knowledge ofGoogle Cloud Cloud Monitoring & Alerting Knowledge ofCloud Run, Data Form, Cloud Spanner Knowledge of Data Warehouse solution -Data Vault 2.0 Knowledge onNewRelic Excellent analytical and conceptual thinking. Excellent communication skills, strong independence and initiative, ability to work in agile delivery teams. Good communication and experience in working with distributed teams (especially Germany + India) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Name of Organization: Jarus Technologies (India) Pvt. Ltd. Organization Website: www.jarustech.com Position: Senior Software Engineer - Data warehouse Domain Knowledge: Insurance (Mandatory) Job Type: Permanent Location: Hyderabad - IDA Cherlapally, ECIL and Divyasree Trinity, Hi-Tech City. Experience: 3+ years Education: B. E. / B. Tech. / M. C. A. Resource Availability: Immediately or a maximum period of 30 days. Technical Skills: • Strong knowledge of data warehousing concepts and technologies. • Proficiency in SQL and other database languages. • Experience with ETL tools (e.g., Informatica, Talend, SSIS). • Familiarity with data modelling techniques. • Experience in building dimensional data modelling objects, dimensions, and facts. • Experience with cloud-based data warehouse platforms (e.g., AWS Redshift, Azure Synapse, Google Big Query). • Familiar with optimizing SQL queries and improving ETL processes for better performance. • Knowledge of data transformation, cleansing, and validation techniques. Experience with incremental loads, change data capture (CDC) and data scheduling. • • Comfortable with version control systems like GIT. • Familiar with BI tools like Power BI for visualization and reporting. Responsibilities: Design, develop and maintain data warehouse systems and ETL (Extract, Transform, Load) processes. • • Develop and optimize data models and schemas to support business needs. • Design and implement data warehouse architectures, including physical and logical designs. • Design and develop dimensions, facts and bridges. • Ensure data quality and integrity throughout the ETL process. • Design and implement relational and multidimensional database structures. • Understand data structures and fundamental design principles of data warehouses. • Analyze and modify data structures to adapt them to business needs. • Identify and resolve data quality issues and data warehouse problems. • Debug ETL processes and data warehouse queries. Communication skills: • Good communication skills to interact with customer • Ability to understand requirements for implementing an insurance warehouse system

Job Description Principal Business Analyst IC4 Our Mission At Oracle, we are igniting dreams and making visions a reality. We are forgers of the future, relentlessly pushing the boundaries of what is possible. From creating innovative solutions to tackle global challenges like Covid-19 to standing up for those in need, we are changing lives and shaping tomorrow's world. Our decades of technological expertise and insatiable curiosity drives us to confront and overcome real-world problems. In our Global Customer Success Management division, we are not just partners but co-architects of our customers' success. We guide them on a journey to unlock the transformative power of Oracle technology, empowering them to achieve the extraordinary. Our success is measured in the triumphs of our customers. Each customer victory propels Oracle forward, pushing us to greater heights. So, if you have the audacity to dream big and the drive to make a difference, Oracle is your launchpad to leave an indelible mark on the universe. Join us, and together, let's dare to redefine what is possible. Job Description The Global CSM Business Operations is a dynamic and forward-thinking organization focused on leveraging data to drive strategic decisions. The Global Data Mining, Reporting & Analytics (DRA) division of CSM Business Operations was established with a mission to elevate customer experience by scaling data & driving innovation. DRA is mainly instrumental in executing the strategy of the Global Customer Success Business. As part of our commitment to data-driven excellence, Data Mining, Reporting & Analytics (DRA) team, is seeking a highly motivated, results-oriented person to support our Analytics wing of Business Operations. Key Responsibilities: Collaborate closely with Business Operation Partners to enhance the Global Operating Model. This includes refining the Coverage Model, thresholds, and ratios, among other critical factors. Work together to establish the necessary reporting framework to support the upcoming new initiatives. Develop and implement data mining strategies to collect, clean, and analyze large structured and unstructured datasets. Apply various data mining techniques, machine learning algorithms, and statistical methods to identify patterns, correlations, and trends. Prepare & publish regular data analysis, trends, comparisons & other useful findings of CSM performance. Compile and disseminate periodic insights on CSM performance, encompassing data analysis, identification of trends, comparative assessments, and other valuable observations. Translate business requirements coming from Business Operation Partners and provide timeline for robust solutions. Collaborate closely with teams across different departments and regions to gather data, understand reporting requirements , and ensure alignment with organizational goals. Collaborate closely with designated DV developers to execute the reporting strategy. Propose & implement data quality standards in alignment with the CLM guidelines and to ensure the integrity and reliability of reporting outputs. Documentation of business reports and maintaining the same. Proactively evaluate the ongoing significance of reporting metrics by regularly cross-referencing them with the dynamic requirements of the business. Education & Experience: Bachelors degree in data science, computer science, Analytics, or a related field. Masters degree is a plus. Over 12+ years of extensive experience in data analysis, business intelligence, or analytics roles. Proficiency in using various data analysis tools and programming languages is essential. This includes a strong grasp Oracle Analytics cloud, SQL & other visualization tools. Effective communication and collaboration skills are essential for interacting with cross-functional teams & stakeholders. Hands-on experience with Oracle Analytics Cloud or similar platforms. Adept at handling large datasets, performing data cleansing, handling missing data, and structuring data in a format suitable for modeling and interpretation. Strong critical thinking and problem-solving skills are necessary to identify complex business problems and translate them into actionable insights. Strong understanding of data privacy, security, and ethical considerations is important. A keen eye for detail, a relentless curiosity for learning new things, and strong project management skills are highly advantageous and set candidates apart. Career Level - IC4 Responsibilities Collaborate closely with Business Operation Partners to enhance the Global Operating Model. This includes refining the Coverage Model, thresholds, and ratios, among other critical factors. Work together to establish the necessary reporting framework to support the upcoming new initiatives. Develop and implement data mining strategies to collect, clean, and analyze large structured and unstructured datasets. Apply various data mining techniques, machine learning algorithms, and statistical methods to identify patterns, correlations, and trends. Prepare & publish regular data analysis, trends, comparisons & other useful findings of CSM performance. Compile and disseminate periodic insights on CSM performance, encompassing data analysis, identification of trends, comparative assessments, and other valuable observations. Translate business requirements coming from Business Operation Partners and provide timeline for robust solutions. Collaborate closely with teams across different departments and regions to gather data, understand reporting requirements , and ensure alignment with organizational goals. Collaborate closely with designated DV developers to execute the reporting strategy. Propose & implement data quality standards in alignment with the CLM guidelines and to ensure the integrity and reliability of reporting outputs. Documentation of business reports and maintaining the same. Proactively evaluate the ongoing significance of reporting metrics by regularly cross-referencing them with the dynamic requirements of the business.

Summary In this role, you will be a part of the centralized global office based in India and work closely with each of our markets globally to understand the clients communication objectives, access multiple data sources and visualize it using Tableau / Datorama, support on of ETL process using MSSQL and has sound knowledge of Excel VBA. Key responsibilities Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions and data infrastructure improvements to meet business needs Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Manage on-time delivery of regular client reports including: Building reports from data warehouse Review of completed reports for anomalies & discrepancies Troubleshooting data issues/discrepancies Ensure formatting & delivery parameters are met Updating Tableau dashboards and Excel Dashboard as required for daily/weekly client reporting. Investigate and understand the opportunities of new data sources in the context of integration into Tableau. Updating Tableau dashboards for daily/weekly client reporting. Support data cleansings & manipulation process including but not limited to: Taxonomy classification Conversion re-naming, grouping Removal of test/ghost impression Desired Skills Minimum 2+ years of experience in Analytics Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams. Hands on experience in creating complex Excel reports, SQL Queries joining multiple datasets Data Visualization tools such as Tableau / Power BI / Datorama An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment Expertise in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, Power Bi

About The Role eClerx is hiring a Product Data Management Analyst who will work within our Product Data Management team to help our customers enhance online product data quality for Electrical, Mechanical & Electronics products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customers website taxonomy and navigation. The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Apprentice_Analyst Roles and responsibilities: Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc. Data quality check and correction Data profiling and reporting (basic) Email communication with the client on request acknowledgment, project status and response on queries Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective Provide technical consulting to the customer category managers around the industry best practices of product data enhancement Technical and Functional Skills: Bachelors Degree in Engineering from Electrical, Mechanical OR Electronics stream Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications Intermediate knowledge of MS Office/Internet.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Proficient with MS office and web enabled IT services. Program implementation, monitoring and evaluation. Experience in leading a multidisciplinary team of officials and professionals.

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 Requirements: 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

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll 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, you’ll 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 behaviour’s. 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

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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. Develop and implement data governance policies and procedures. Collaborate with stakeholders to define data standards. Facilitate effective data collection, storage, access, and usage. Drive data stewardship initiatives for comprehensive data governance. Ensure compliance with data governance policies and regulations. Professional & Technical Skills: Must To Have Skills: Proficiency in Collibra Data Governance. Strong understanding of data governance principles. Experience in implementing data governance frameworks. Knowledge of data quality management. Familiarity with data privacy regulations. Additional Information: The candidate should have a minimum of 3 years of experience in Collibra Data Governance. This position is based at our Pune office. A 15 years full time education is required. Qualification 15 years full time education