958 Data Cleansing Jobs - Page 9

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

Role Summary: 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. We believe this role would be an excellent fit for experienced professionals in the SAP Data Migration field, and we would greatly appreciate your support in identifying qualified candidates Please feel free to reach out for any clarifications or additional details.

We are seeking an experienced IDMC MDM + CDQ Consultant to design, develop, and manage Informatica Cloud Master Data Management (MDM) and Cloud Data Quality (CDQ) solutions. The ideal candidate will have expertise in data governance, master data modeling, data quality management, and cloud-based MDM implementations. This role involves working with large-scale datasets, ensuring high-quality master data, and integrating data management solutions across cloud and on-premises environments. Key Responsibilities: Design and implement Informatica IDMC MDM and CDQ solutions for managing customer, product, and entity master data. Configure MDM data models, hierarchies, business rules, and workflows for data consolidation and governance. Implement data matching, survivorship, and golden record creation to ensure high-quality master data. Develop and maintain data quality rules, data cleansing, and profiling processes using Informatica CDQ. Integrate MDM and CDQ with enterprise applications such as ERP, CRM, and cloud data warehouses (Snowflake, Redshift, BigQuery, Synapse, etc.). Ensure data lineage, impact analysis, and metadata management for better data governance. Optimize MDM/CDQ performance, tuning, and data processing pipelines. Ensure compliance with data security, privacy, and regulatory requirements (GDPR, HIPAA, CCPA, etc.). Collaborate with data architects, data engineers, and business stakeholders to define MDM and data quality strategies. Provide training and support to data stewards, analysts, and business users on MDM/CDQ best practices. Required Skills & Qualifications: 6+ years of experience in Master Data Management (MDM) and Data Quality (DQ) solutions. Strong hands-on experience with Informatica IDMC MDM and CDQ. Expertise in data modeling, data cleansing, and golden record management. Proficiency in SQL, API-based integrations (REST/SOAP), and data transformation. Strong understanding of data governance, metadata management, and data lineage. Experience with cloud platforms (AWS, Azure, GCP) and cloud-based MDM implementations. Knowledge of data profiling, standardization, enrichment, and validation techniques. Familiarity with ETL tools, cloud storage solutions, and real-time data processing. Strong problem-solving skills and ability to work in Agile/DevOps environments.

ETL Testing Must have Experience ETL Testing with solid working knowledge on Advanced SQL Queries, Strong SQL, UNIX, Autosys and ETL concepts such as 3NF, Dimensional models, facts loads, surrogate key, joins, data comparison across tables, automated job executions, shell scripting. Advanced knowledge of AWS Services Must have done automation testing on ETL testing such as Python. Ruby, Cucumber, Java etc

Familiar with Mechanical products used in Oil/Gas/Energy industries Should have good domain expertise and analytical skills to identify and assign UNSPSC / NOUN / NOUN MODIFER from product description Ability to study the component / Item specification and analyse for key technical parameters Exposure to MS Excel operation to gather the component / item data in MS Excel Good knowledge of Mechanical / Electrical and understanding Key characteristics given in the datasheets. Working experience with product manufacturing companies

Objectives of this role Improve, execute, and effectively communicate significant analyses that identify meaningful trends and opportunities across the business. Participate in meetings regularly with managers to assess issues and to identify and implement improvements for more-efficient operations. Provide strong, timely financial and business analytics for decisions by partners and organizational stakeholders. Develop actionable roadmaps for improving workflows and processes, and establish and organize KPIs in line with global directives. Comply with all national and local regulations. Responsibilities Interpret data using analytics, research methodologies, and statistical technique. Develop and implement data analyses, leveraging collection systems and other strategies that optimize statistical efficiency and quality. Serve as liaison between staff and management by analyzing and interpreting data for company procedures, policies, and workflows. Prepare, analyze, and summaries operational results for use by various key stakeholders, creating reports, specifications, instructions, and flowcharts. Conduct full lifecycle of analytics projects (including pulling, manipulating, and exporting data) from project requirements documentation to design and execution. Evaluate key performance indicators, provide ongoing reports, and recommend business plan updates. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Advanced analytical & critical thinking skills, with experience collecting, organising, and disseminating abundant information accurately. Ability to write reports. Exceptional verbal, written, and visual communication skills. Presentation Skills. Ability to work seamlessly with cross functional teams operating across geographies & timezones. Emotional Intelligence. Preferred technical and professional experience Bachelor’s degree (or equivalent), preferably in Computer Science / Information Science. Experience in Client Communication Proficiency with statistics and dataset analytics (using SPSS, SAS, Excel, SQL) is an added advantage. Experience in Data Cleaning & preparation, Data exploration & analysis, Data Visualisation & Reporting is a plus.

What this job involves: You will be part of the Investment modeling team that sits within the Business line Capital Market. You will be supporting the business in the form of financial modeling, and template creation of all operating and development properties using Microsoft Excel. Passion for global real estate Working closely with analysts and stakeholders from various global offices and supporting on the various process within the capital market team. This will help enhance the skill and global real estate knowledge. Team work Working with our leadership and business line heads to support the existing process and new business opportunities. You will be working closely with our team and global offices to leverage existing industry research and pair with external data sources to identify prospects and drive pipeline effectiveness. On top of this, you will also be working with management to improve our processes. Delivering excellent service You will attend meetings with global team members for delivering excellent service which are essential for fostering collaboration, gaining valuable insights, and continuously improving our service offerings. This will enable us to leverage our diverse talent pool, adapt to the real estate market dynamics, and provide exceptional service tailored to the needs of our clients across the globe. Sound like you Energetic Individual Are you bursting with energy and ready to hit the road running Your passion in fostering the real estate knowledge will be integral in helping the business grow its share. A go-getter at heart, you aim to excel in this competitive space while creating an impression in the market. Inquisitive Are you interested to acquire more knowledge about global real estate You will be part of a global business and international team. We are happy to bring on enthusiastic candidates with a flair in developing the knowledge in the real estate asset classes such as multifamily, retail, office, hotel, or industrial spaces and providing the opportunity to develop the career. Team player While you will be required to work independently while chasing your own leads, we work closely within the global team to service international clients. You can learn the best industry practice and pick up the global real estate skills required to know how of your clients needs in the long run. Great communicator Can you put your ideas across to your clients clearly both verbally and in writing JLL is the leading real estate solutions provider therefore we pride ourselves to be able to present our proposed commercial spaces and negotiated terms clearly to the various stakeholders within our clients organization. Excellent communication skill is imperative in this case and you will need to manage your schedule well in order to juggle your existing tenants as well as sourcing for new ones. To apply you need to be: Being Analytical You will play a crucial role in the development of financial models from scratch. Your responsibilities will encompass the construction, maintenance, and validation of both primary and secondary data sources. You will be extracting key insights from a diverse range of public data sources, including macroeconomic trends, industry developments, company financials, and competitive landscapes. Your expertise will be essential in data cleaning, preparation, interpretation, and analysis, utilizing advanced statistical techniques and tools such as Excel, our internal CRM database, and other data management systems. This position requires a keen eye for detail, strong analytical skills, and the ability to create, review and handle complex financial models. Meticulous You must pay attention to detail and have excellent problem-solving skills. Possess the ability to collate information into cohesive presentations with proper slide layout design. Skills required 4-7 years of work experience in commercial real estate industry with proficiency in creating, analysing, and maintaining explanatory/predictive financial models in Excel. Possess skills at subject matter expert level in real estate domain. Strong quantitative orientation, with knowledge of real estate property valuations, including Discounted Cash Flow, IRR, NPV, Time Value of Money, Return on Equity, Debt Returns, Three Statement Analysis, Sensitivity Analysis, Scenario Analysis etc. Knowledge of advance excel, and financial modeling. Ability to create financial models from scratch for operating properties, recreational properties, land development, energy projects, infra projects, 3 statements, REIT, JV Structure and waterfall models. Should have experience in understanding and handling complex models. Understanding of VBA macros and power query will be an added advantage. Excellent verbal and written communication skills. Superior problem-solving skills, self-motivation, and the capacity to work under pressure and tight deadlines. Personally, strives to ensure data quality, consistency, and accuracy in all work. A desire to work within a diverse, collaborative, and driven professional environment. Have experience of direct client communication and project management. Ready to adapt as per the changing requirement of the business. Self-motivating individual who is detail-oriented, has strong organizational skills, and the ability to work independently and within a team under deadlines. Qualification required Bachelors or Masters degree in finance, Real Estate, or related disciplines with excellent academic credentials or an equivalent combination of education and experience. Advanced proficiency in Excel and financial modeling. Computer proficiency including Microsoft office (excel, word, power point). Have completed CFA certification but not mandatory. Good to have financial modeling certifications.

Primary Skills- Good R programming Development, Hive SQL, testing, and maintenance of R scripts, functions, and packages to support data analysis and modeling , dplyr, ggplot2, Shiny, and tidy verse Secondary Skills Integrate R-based solutions with other data technologies like SQL Job Description 6-9 years of overall work experience and at least 2 years of R programming with excellent communication skills Experience in Development, testing, and maintenance of R scripts, functions, and packages to support data analysis and modeling. Strong understanding of data structures, data cleaning, and transformation techniques. Experience with version control systems like Git. Proficiency in data wrangling and using R packages such as dplyr, ggplot2, Shiny, and tidy verse Background in cloud platforms in AWS and Snowflake. Experience with big data technologies like Hive SQL is preferable. Integrate R-based solutions with other data technologies like SQL.

Job Responsibilities: You will be responsible for developing and implementing comprehensive data migration strategies for different templates (E.g.: ECC to S4, S4 to S4) as part of the SAP transformation project. This includes ensuring alignment with business objectives and implementation plans, as well as understanding different MB processes like P2P, O2C & RTR. Additionally, you will lead and manage a team of data migration specialists, providing guidance and oversight throughout the migration process to drive efficiencies by cross-utilization and proactive resource management measures. Collaborating closely with functional and technical stakeholders, you will work on understanding data requirements, defining migration scope, and ensuring stakeholder needs are met. You will also conduct workshops with IT units to execute the overall migration plan. Ensuring data quality, integrity, and compliance throughout the migration process will be a key responsibility. This includes conducting data profiling, analysis, cleansing, validation, and reconciliation activities. You will define and manage a comprehensive set of ETL tools for data migration execution in a factory model setup. This involves designing and managing ETL processes using tools like SAP Data Services, LSMW, LTMC, and Syniti. Additionally, you will explore innovative ideas using cutting-edge technologies to automate the migration process, such as the possible use of AI for migration use cases. Maintaining comprehensive documentation of data migration processes and providing regular project updates to stakeholders will be essential. Identifying and resolving data migration issues promptly, tracking them throughout the migration lifecycle, and ensuring timely resolution for overall project success are also part of your responsibilities. Skills: - Strong knowledge of SAP data structures, SAP ABAP, SAP data migration tools (e.g., SAP Data Services, LSMW, LTMC), and proficiency in SQL. - Excellent leadership, communication, and problem-solving skills. - Experience with Syniti tools or other third-party migration tools is beneficial. - Excellent verbal and written communication skills in English. Additional Information: This role may require collaboration with cross-functional teams and travel to client locations as needed. The ability to work in a fast-paced environment and adapt to changing project requirements is essential. Qualifications: - Education: B.E (any field) or M.B.A (General Administration) - Years of Experience: 15 years - Specific Knowledge: - IT Project and Program Management with a good record of accomplishment in managing a large portfolio of projects/topics in one or more domains. - Development background in Java/.NET and experience working in Agile Development teams with exposure to Scrum/Kanban and DevOps methodologies. - Proven ability as an out-of-the-box thinker and contributor to innovative topics. - Excellence in stakeholder and customer/partner management. - Experience in Business Acquisition and Solutioning for new topics/setup. - Experience in driving projects using metrics/KPIs for data-driven decisions and steering. - Knowledge of the German language will be an added advantage. Contact: Mercedes-Benz Research and Development India Private Limited Plot No. 5-P, EPIP 1st Phase, 560066 Bangalore MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com,

As a Data Engineer specializing in Treasure Data Technology, you will play a crucial role in designing, implementing, and managing data pipelines using our customer data platform, Treasure Data. Your main responsibilities will include developing and maintaining scalable data pipelines, ensuring data quality and integrity, optimizing system performance, and collaborating with various stakeholders to deliver solutions that meet business needs. You will be expected to design, develop, and maintain data pipelines to facilitate efficient data flow and processing. This will involve implementing ETL processes to integrate data from different sources and ensuring the accuracy, completeness, and reliability of the data through robust validation and cleansing processes. Monitoring data quality metrics and addressing any discrepancies promptly will be essential in your role. To enhance system performance and reduce latency, you will need to optimize data storage and retrieval processes by implementing techniques such as indexing and partitioning. Collaboration with data scientists, analysts, and other team members is crucial to understanding data requirements and delivering effective solutions. Effective communication of technical concepts to non-technical team members is also a key aspect of your role. Ensuring data security measures are in place to protect sensitive information and comply with relevant regulations and standards will be part of your responsibilities. Regular audits and assessments to identify and mitigate potential security risks are vital to maintaining data security. In terms of essential skills, you should have a strong understanding of enterprise data warehousing principles, experience with Treasure Data and Dig Dag files, proficiency in Presto SQL and optimization techniques, as well as experience with Python, relational databases, and cloud platforms like AWS. Desirable skills include experience with version control systems like Git and knowledge of orchestration tools such as Airflow. Qualifications for this role include a minimum of 3 years of work experience with a focus on Treasure Data and technical certifications demonstrating your commitment to continuous learning. As a successful Data Engineer, you should possess qualities such as inherent curiosity and empathy for customer success, a dedication to solving customer problems, strong collaboration skills, a passion for experimentation and learning, excellent problem-solving abilities, attention to detail, and effective communication skills.,

As a Senior Process Associate - Enterprise Data Management at our Mohali location in Punjab, India, your primary responsibility will be to validate and maintain master data records in compliance with business rules and standards using SAP MDG. You will play a crucial role in timely handling and resolution of IDOCs, as well as supporting Data Cleansing and Quality initiatives alongside the Domain Lead/Service Delivery team. In this role, you will serve as a Data Custodian for Material, Customer, and Supplier data types, collaborating with assigned stakeholders from the Business/Region. Your key accountabilities will include executing master data maintenance, assisting in driving Data Quality programs, validating data against business rules, and providing first-level support, training, and communication to Region stakeholders. To excel in this position, you should possess a strong understanding of SAP master data tables, fields, and SAP MDG, along with knowledge of Data Management processes and the impact of Master Data on transactional processing. Additionally, you are expected to have experience in managing Master Data Management processes, working with SAP MDG or SAP MDM, and engaging directly with business clients. Your educational background should ideally include a degree in Mechanical/Electrical Engineering, B.Tech, or certification in SAP Material Management. With at least 1-2 years of data management experience and a year of working experience in SAP MDG or SAP MDM, you should be capable of thriving in a virtual team environment that operates across distances, cultures, and time zones. At Bunge, a global leader in sourcing, processing, and supplying oilseed and grain products, we value individuals who make data-driven decisions, prioritize customer-centricity, and actively contribute to our global strategy. By collaborating effectively, communicating proactively, and demonstrating initiative in problem-solving, you will play a vital role in advancing our outcomes and creating sustainable products for farmers and consumers worldwide. Join us at Bunge, where we are committed to Equal Opportunity Employment, welcoming veterans and individuals with disabilities to be part of our diverse and inclusive team.,

As a Data Quality professional, your role involves defining and measuring data quality metrics to ensure accuracy, completeness, validity, consistency, timeliness, and reliability. You will continuously monitor and remediate data quality issues by conducting audits, root cause analysis, and implementing preventive measures. Additionally, you will be responsible for developing and maintaining comprehensive data profiles to understand data characteristics, creating validation rules for incoming data, and designing data cleansing processes to correct errors and inconsistencies. Your focus will be on enhancing overall data quality and reliability through these processes. In terms of Data Governance, you will establish a governance framework to enforce data governance practices, ensuring compliance with regulatory requirements and corporate policies. This includes developing and maintaining a metadata repository to document data definitions, lineage, and usage, as well as collaborating with business users to understand data needs and requirements. Furthermore, you will continuously seek opportunities for process improvement in data governance and quality management. Understanding user roles and access requirements for systems is crucial for implementing similar protections in analytical solutions, including establishing row-level security to ensure data access is restricted to authorized users. To drive continuous improvement, you will define naming conventions for business-friendly table and column names, create synonyms to simplify data access, and establish KPIs for tracking data governance and quality efforts. Regular reporting to stakeholders will be essential to demonstrate the value of data governance initiatives. Lastly, you will establish a feedback loop where users can report data quality issues and suggest improvements, fostering a culture of continuous improvement in data quality and governance processes.,

Job Description: As the Workday Absence Management and Time Tracking Consultant, your main focus will be on configuring and optimizing the absence and time tracking module within Workday. Your responsibilities will include configuring and supporting Workday Absence Management and Time Off modules, such as absence plans, accruals, holiday schedules, time-off policies, and maintaining rules for absence tracking, eligibility, and balances. Additionally, you will support the time tracking module by setting up time entry rules, work schedules, time reporting, time approval processes, and maintaining configurations for overtime, shift differentials, and break times. You will be expected to own the Workday absence and time tracking module, leading the designing, solutioning, implementation, configuration, testing, and ongoing management. Leveraging your expert-level knowledge, you will lead efforts to deliver initiatives, projects, and module enhancements identified in the absence and time tracking module optimization roadmap. You will also manage half-yearly Workday release enhancements and resolve Service NAB tickets for all absence and time tracking-related issues, system enhancements, and process improvement initiatives. In addition, you will serve as a subject matter expert for Workday absence and time tracking, providing training to absence partners, managers, and other stakeholders on how to effectively use the absence and time tracking module in Workday. You will be responsible for employee/config data gathering, transformation, mapping, and cleansing, and monitoring mass data loads using tools like EIB to ensure data accuracy, error handling, and post-load validation and support. Implementing testing efforts within P&C Systems for smooth user acceptance testing (UAT) and Integrated testing is also part of your role. To excel in this position, you must stay up to date with Workday updates, releases, and industry best practices to enhance system capabilities. Additionally, you will mentor and guide junior colleagues in their role in configuration and testing. Qualifications: - Bachelor's degree in computer science, business administration, or related field, or equivalent work experience. - Minimum of 5 to 7 years of Workday experience with expertise in Workday absence management and time tracking, along with knowledge in areas like HCM, compensation, benefits, talent, recruiting, and recruitment. - Must be Workday Absence/Time Tracking certified. - Strong problem-solving skills and ability to troubleshoot Workday technical issues. - Excellent verbal and written communication skills, with escalation and conflict resolution abilities. - Works under general direction and must be able to work independently.,

You should have at least 8 years of practical experience in SQL development, focusing on query optimization and performance tuning. Your expertise should also include working with ETL tools such as SSIS, Azure ADF, Databricks, Snowflake (or similar), as well as relational databases like SQL Server, PostgreSQL, MySQL, and Oracle. A solid grasp of data warehousing principles, data modeling, indexing strategies, and query execution plans is essential for this role. You should be adept at writing efficient stored procedures, views, triggers, and functions for managing large datasets. Experience in handling both structured and semi-structured data formats like CSV, JSON, XML, and Parquet is also required. Your responsibilities will involve data validation, cleansing, and reconciliation to ensure high data quality standards are maintained. Familiarity with real-time and batch data processing methods is expected. It would be beneficial if you have prior exposure to Azure/Other Data Engineering tools (ADF, Azure SQL, Synapse, Databricks, Snowflake), Python, Spark, NoSQL databases, and reporting platforms like Power BI or Tableau. In addition to technical skills, you should possess strong problem-solving abilities to troubleshoot ETL failures and performance issues effectively. Collaboration with business and analytics teams to comprehend and implement data requirements is a key aspect of this role.,

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

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Project System (PS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Project System (PS).- Strong understanding of application development methodologies.- Should have solid understanding of the SAP-PS fucntions for both OPEX and CAPEX processes and should have good understanding of the Oil & Gas Upstream industry processes. Should have hand-on experience in designing & defining projects struture and other PS functions and have capability of drafting functional specs and driving discussions with business. Must have experience on data cleansing and migration and should be comfortable with working with data team in the complete migration process.- Experience with integration of SAP modules and third-party applications.- Ability to troubleshoot and resolve application issues effectively.- Familiarity with project management tools and techniques. Additional Information:- A 15 years full time education is required. Qualification 15 years full time education

KPMG India is looking for Assistant Manager - Data Governance Assistant Manager - Data Governance to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

The Opportunity: Analyze moderately complex business problems to be solved with automated systems. Provide technical expertise in identifying, evaluating and developing systems and procedures that are cost effective and meet user requirements. Configure system settings and options; executes unit, integration and acceptance testing; and assists in creating specifications for systems to meet business requirements. Designs details of automated systems. Job Description The position will support the growing needs of MDG implementations. It includes integrations with SAP TMS, Product compliance and setting the stage for S/4 journey. What we're looking for: Education: Bachelors or masters degree in computer science, information systems, industrial engineering, business administration or related field, or equivalent work experience Experience: Minimum 5+ years of relevant experience in SAP MDG on S/4 and at least 2 end to end implementation cycle experience with configuring SAP MDG Ability to work on Master Data Consolidation (MDC) and Data Quality Management (DQM) Experience managing or executing data cleansing, data mapping, and data governance areas, preferably in an SAP environment as well as integration across complex ERP landscapes knowledge/experience of interfacing SAP with legacy systems Good verbal and written communication skills. Able to communicate with business analysts/system analysts. Able to comprehend business needs and concerns and integrate that understanding into design and implementation. Who you are: Provides configuration and development of MDG for all the processes needed for successful implementation and support Provides strategic vision of SAP MDG implementation with a thorough understanding of the dependencies from and impact on other enterprise initiatives Reviews and provides key inputs to SAP MDG Project Plan and detailed tasks Provides expertise on SAP best practices and making best solution recommendations considering scope, requirements and analysis Collaborates with Process Leads and Data Leads from client, third party system integrators and SAP for successful completion of joint responsibilities of the project Support and provide input to MDG Team Members in the development of the processes for Data Cleansing, Data Migration and MDG integration of MDG Data Objects including Material, Business Partner (Customer, Vendor etc) and MDG Financial Objects. Accountable for the deliverables related to SAP MDG and focus on quality and on-time delivery within agreed estimation Works with respective team member and/or management to deliver solutions according to requirements defined and prioritized by Avantor business. Participate in projects and performs design, build, implementation, unit tests, and code review. Translates functional requirements into conceptual and detailed designs; provides estimates for development effort; Implements proof of concept, prototypes and production-grade software; writes unit tests; fully documents code; and coordinates with testing requirements from QA/Test. As needed and according to agile development methodologies, participate in iterative development including sprint planning, daily scrum, release and retrospective meetings. How you will create an impact: Experience in design, coding and Implementing SAP MDG for FINANCE, VENDOR, CUSTOMER & MATERIAL Experience on MDG UI configuration, Standard Data Model/Entity Types enhancement, Custom Data Model creation, FPM UI enhancement, context-based adaptation, customizing & configuration. Ability to work on migration of existing master data into MDG hub, validations and derivations using BADIs and BRF+ Should have worked on data replication framework (DRF), data import using DIF, SOA service, ALE configuration, key & value mapping knowledge on integrating MDG Experience in ABAP Object Oriented Programming, ABAP Floor Plan Manager (FPM) and ABAP WebDynpro. Experience with performance tuning (front-end/back-end) Experience working in an agile development process Support business requests ensuring that the organization adopts common approaches in areas where a global perspective and the sharing of integrated systems. Work flexibly to successfully handle multiple issues and tasks, completing them on time and within budget while exceeding expectations. Complete understanding of SAP Master Data, systems validation concepts, change control procedures, and full knowledge of both configuration and customization standards are required. Ability to work in a team environment with a positive attitude

As a part of this role, you will be responsible for conducting descriptive and diagnostic analytics on various data sources. Your tasks will involve applying machine learning tools to both data and metadata in order to enhance data quality. By identifying patterns and trends within data sets, you will contribute to the overall understanding of the information available. Additionally, you will play a key role in developing data profiles for different data tables and elements present in the data lake. Your responsibilities will also include creating data catalog entries and ensuring the quality of metadata within the data catalog. Collaboration with team members to devise data cleansing methods and rules will be essential to maintain data integrity and consistency. This position is a full-time, permanent role that requires your physical presence at the work location.,

At PwC, we focus on a variety of outsourced solutions and support our clients across numerous functions. Our team members help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. Skilled in project management, technology, and process optimization, we deliver high-quality services to our clients. Those in managed service management and strategy at PwC are responsible for transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Our work involves continuous improvement and optimization of managed services processes, tools, and services. Focused on building relationships, we prioritize building meaningful client connections and learning how to manage and inspire others. Navigating complex situations, we aim to grow our personal brand, deepen technical expertise, and enhance awareness of our strengths. We anticipate the needs of our teams and clients while delivering quality services. Embracing ambiguity, we are comfortable when the path forward isn't clear, ask questions, and view these moments as opportunities for growth. Skills To lead and deliver value at this level, you should: - Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Apply critical thinking to break down complex concepts. - Understand the broader objectives of your project or role and how your work aligns with the overall strategy. - Develop a deeper understanding of the business context and its changing dynamics. - Use reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, the Firm's code of conduct, and independence requirements. Role Summary As a Sr. Data Operations Support Analyst, you will provide foundational support for the data operations team, focusing on maintaining data accuracy and enhancing process efficiency. In this entry-level role, you will perform essential data entry and verification tasks to ensure the integrity of organizational data. You will assist in routine data operations activities, including basic reporting and analysis, while learning to identify and resolve data discrepancies. Key Responsibilities Data Entry and Verification: - Perform data entry tasks with a high level of accuracy and attention to detail. - Verify data entries for correctness and completeness. Routine Data Operations: - Assist in routine data operations tasks, including data cleansing and validation. - Support the resolution of data discrepancies and issues. Basic Reporting: - Help create basic reports and visualizations to monitor data quality. - Assist in compiling data for analysis and presentation. Team Collaboration: - Work closely with team members to support operational processes. - Contribute to team efforts to optimize data operations efficiency. Skill Development: - Participate in training sessions to enhance data management skills. - Seek guidance and mentorship from senior team members. Mandatory Skills - High level of accuracy and attention to detail in performing data entry tasks. - Capability to verify data entries for correctness and completeness. - Familiarity with creating simple reports and visualizations. Good To Have Skills - Ability to work closely with team members and contribute to operational processes. - Eagerness to learn and enhance data management skills through training.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team mission is to develop, implement, and integrate technology solutions that better serve clients and engagement teams. As a member of EY's core Tax practice, you'll develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and analyze more data than ever before. Handling the variety and volume of data is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team works closely with partners, clients, and tax technical subject matter experts to develop technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive tools supporting Tax. We're looking for a Tax Senior with expertise in PMO to join the TTT team in Tax SL. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Responsibilities and Skills:** - Extraction and data cleanse from large datasets to ensure accurate billing information. - Communicate effectively and obtain approvals from clients to resolve billing inquiries and discrepancies. - Coordinate with the Accounts Receivable (AR) team and clients to ensure timely settlement of invoices and highlight necessary cases to the leadership. - Track and manage billing cycles, ensure everything is billed, and invoices are settled within the agreed timeframe. Maintain Status Trackers to record progress of work. - Assist in the preparation of financial reports related to billing, invoicing, budgeting. - Assist with the document upload within internal EY Tools and to work and manage EY Tools. - Manual Testing of Schemas including Target Test, Checklist, and Duplicate scenarios. - Application testing: Smoke, Sanity, Regression & Performance. - Identify technical/functional Anomalies in the form of bugs/issues and raise in DevOps. Ensure bugs/issues are closed. - Coordinate with various stakeholders like CT (PM, Development team, QA & Business Analyst), Schema Team & Operations team. - Act as a conduit between the Client and CT to provide technical requirements of the product. - Draft Test Scenarios based on the User Stories acceptance criteria. - Provide solutions for client queries on reporting requirements & application glitch. - Opportunity to work with multiple overseas EY teams across the world. **Expected skill set:** - Bachelor's degree in Computer Science, Information Technology, Business, or related field. - Minimum of 5 to 7 years of experience in a data analyst or equivalent project management role. - Proficiency in Microsoft Excel for data analysis and reporting. - Strong skills in data extraction and cleansing from large datasets. - Excellent communication skills for client interactions and issue resolution. - Ability to work collaboratively and proactively. - Detail-oriented with strong organizational skills. - Experience of basic Manual testing (Preferable, but not mandatory). - Basic Knowledge of Application testing: Smoke, Sanity, Regression & Performance (Preferable, but not mandatory). - Knowledge of MS Word & Excel. - Team player - ability to track project activities, react quickly/flag issues to the team/deal with overload. - Attention to detail, diligent approach to detailed work. - Ability to work in a high-pressure environment. - Ability to work on different workstreams simultaneously and monitor progress. - Self-starter with good time management skills. At EY Global Delivery Services (GDS), you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Continuous learning, success, transformative leadership, and a diverse and inclusive culture are some of the things you can expect at EY. EY exists to build a better working world, helping to create long-term value for clients, people, and society while building trust in the capital markets.,

Seeking a highly creative and meticulous Senior Data Analyst who will be responsible for all design requirements for leader communications. Reporting to the Manager Communications, you must understand the design process and liaise with multiple stakeholders to deliver in-house design requirements. Additionally, you will coordinate with external agencies to ensure brand guidelines are followed. The Senior Data Analyst plays a critical role in transforming complex datasets into actionable insights that support strategic business decisions. This role involves advanced data analysis, visualization, and collaboration with cross-functional teams to address high-impact business challenges. Furthermore, you will contribute to data governance, quality assurance, and process optimization initiatives. Key responsibilities include data extraction, cleansing, and manipulation, utilizing advanced SQL for query optimization. Proficiency in data visualization tools such as Tableau, Power BI, and Excel is required, as well as experience with cloud platforms like AWS and Snowflake. You will also need to demonstrate Python programming skills for statistical modeling and predictive analytics. Qualifications for this role include a Masters or Bachelors degree in Computer Science or a Masters in Business Administration, along with SAFe Agile Certifications. The ideal candidate will possess 5+ years of Systems Analyst/Business Analyst experience, with a strong background in Data Analytics and defining/managing the scope of Systems projects. Skills and competencies required include an understanding of user-centric design principles, collaboration in large teams, knowledge of design quality guidelines, and technical proficiency in software development and web technologies. Familiarity with Scrum and Agile Software Development Methodologies, decision-making abilities, and excellent communication skills are essential. Strong analytical and problem-solving capabilities, effective stakeholder management, and the ability to translate technical solutions into business value are key attributes. Proficiency in SQL, Python, and Excel is necessary, along with experience in cloud & data platforms like AWS, Azure, and Snowflake. Knowledge of visualization tools such as Power BI and Tableau, statistical techniques including regression, classification, clustering, and forecasting, and understanding of the US HealthCare Domain are additional requirements for this role. This is a full-time position that requires a candidate with a proactive approach, attention to detail, and a passion for leveraging data to drive business decisions effectively.,

As a Senior Data Analyst specializing in Pharma Specialty Data, you will play a crucial role in extracting insights from complex datasets related to pharmaceuticals. Your attention to detail and analytical skills will be essential as you collaborate with cross-functional teams to support strategic decision-making in commercial, medical, and market access functions. Your responsibilities will include developing dashboards and reports using tools like Power BI, Tableau, or Qlik, performing data cleansing and validation, defining KPIs, and presenting findings to non-technical stakeholders in a clear and engaging manner. With over 6 years of experience in pharma/life sciences data analytics, you possess a strong understanding of specialty pharmacy distribution models and data sources. Your proficiency in SQL and data visualization platforms, coupled with experience in real-world data and compliance frameworks like HIPAA, will be critical to your success in this role. Additionally, your excellent communication and storytelling skills will enable you to effectively convey insights to stakeholders. A Bachelor's or Master's degree in Data Science is preferred, along with prior experience working with commercial analytics or market access teams. Exposure to omnichannel analytics or patient journey mapping would be advantageous in this position. By joining our team, you will have the opportunity to work on cutting-edge pharma analytics projects, collaborate with industry leaders in life sciences, and contribute to making a measurable impact on patient outcomes and healthcare innovation.,

The Data & Program specialist supports the programme lead in the delivery of Digital projects and system solutions. You must be able to demonstrate excellent project management skills as you will have several projects running at the same time. Interpret data, analyse results, and provide ongoing reports. Acquire data from primary or secondary data sources and maintain databases/data systems. Perform data cleansing, transformation, and visualization. Participate in the continued improvement of data, processes, and procedures within the programme and participate in the development of standard operating procedures. Build effective working relationships across the programme and achieve results in a responsible and collaborative manner. Communicate and present ideas and concepts clearly and convincingly. Able to triage and resolve basic customer questions and issues related to the technology. Skill Set: - Strong project management skills - Customer Service mindset - Preferred P2P, S2P & analytic systems experience - Technical expertise regarding data models, database design development, data mining, and segmentation techniques Experience: - Bachelor's Degree in Computer Science, Information Technology, Data Science, Supply Chain, or Business Analytics or other related field or an equivalent combination of education and experience. - 3 years minimum working in a project management role, systems/digital environment preferred - Demonstrable experience as a data analyst, business analyst - Experience in the deployment of various P2P platforms is recommended. - Experienced working in a global company, contributing to multiple projects virtually - Language skills: English At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You'll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there's Room for You at IHG. Over recent years, we've transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love. We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That's why here at IHG, we give our colleagues flexibility and balance working in a hybrid way, blending office and remote working collectively. We recognize that every role is different, that's why leaders work with teams to determine how and when they collaborate. We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days, and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow, and make a difference. Don't quite meet every single requirement, but still believe you'd be a great fit for the job We'll never know unless you hit the "Apply" button. Start your journey with us today.,

Project description Luxoft DXC Technology Company is an established company focusing on consulting and implementation of complex projects in the financial industry. At the interface between technology and business, we convince with our know-how, well-founded methodology and pleasure in success. As a reliable partner to our renowned customers, we support them in planning, designing and implementing the desired innovations. Together with the customer, we deliver top performance! For one of our Clients in the Insurance Segment we are searching for a Developer Tableau and SQL. Responsibilities You will work on CISO multi-functional Tableau reports that interface with several applications. You will report to a senior developer who has been working on the project for a few years. Proficiency in writing complex SQL queries involving multiple joins (inner, outer, cross), subqueries, and CTEs is required for this role Strong Tableau Desktop Development Skills are required. Skills Must have Proficiency in writing complex SQL queries involving multiple joins (inner, outer, cross), subqueries, and CTEs Expertise in developing SQL Stored Procedures, Functions & Views Experience in developing ETL processes to extract and transform data using SQL (aggregations, filtering, data cleansing) and loading data into database Familiarity working in Microsoft SQL Server Familiarity with data modeling concepts (star schema) Tableau Desktop Development Skills: Expertise in developing complex, interactive dashboards in Tableau incorporating filters, parameters, and actions Experience in building user-friendly dashboards with menus, tooltips, drill-down and drill-through capabilities Ability to create calculated fields, custom aggregations, table calculations and LOD expressions Knowledge of optimizing Tableau dashboards for performance Understanding of user access & user groups creation & management in Tableau Nice to have insurance domain