23 Data Standardization Jobs

You are currently hiring for a "Data Governance Analyst" position in a leading Bank, located in Kolkata with an option for work from the office. To be considered for this role, you should have a minimum of 5+ years of experience in enterprise data governance. You should also have experience working with Data warehouse technologies and data governance solutions such as Data Catalog, MDM, and Data Quality. Additionally, you must possess at least 3+ years of practical experience configuring business glossaries, dashboards, policies, search, and Data maps. In this role, you will be expected to have 3+ years of experience in Data Standardization, Cleanse, transform, and parse data. You will be responsible for developing data standardization mapplets and mappings. It would be advantageous to have a working knowledge of Data Governance tools like Informatica, Collibra, etc. Furthermore, having certifications in DAMA, EDM Council, IQINT would be beneficial. Knowledge of AI/ML and their application in Data Governance is also considered a plus for this position. If you are interested in this opportunity, please share your resume with bhumika@peoplemint.in.,

As a Senior Consultant with a focus on Data at AIONEERS-EFESO, an integral part of EFESO Management Consultants, you will play a crucial role in optimizing supply chains and achieving best-in-class standards for businesses. Your responsibilities will involve collaborating on customer and internal projects, specifically focusing on Data for Supply Chain Planning and Supply Chain Analytics. This will encompass tasks such as analyzing data, implementing data governance and management practices, and standardizing processes to enhance supply chain efficiency. Throughout projects, your main focus will be on developing master data models, monitoring the effectiveness of data quality enhancements, and presenting these improvements through dashboards in Power BI. Acting as the liaison between business and IT, you will contribute to the design, implementation, and integration of data into Advanced Planning Systems (APS), sourced from ERP systems like SAP, Oracle, or Microsoft Dynamics. Your role will also entail leading subprojects independently, guiding colleagues and stakeholders in defining and executing data architectures, and implementing data visualization tools to communicate analytical findings effectively. To excel in this position, you should possess at least 3 years of professional experience in consulting, analytics, Master Data Management, or Supply Chain Management. Strong expertise in SAP, Power BI, or similar analytics tools is essential, along with a relevant degree in fields like Supply Chain, IT, industrial engineering, or business administration. Your capabilities should extend to analyzing, building, and maintaining various data structures, ensuring seamless integration with Supply Chain Planning Systems like BY, o9, and Kinaxis. Proficiency in BI tools such as Power BI, QlikView, Qlik Sense, or Tableau is required for effective data visualization and reporting. Furthermore, experience in software implementation projects and familiarity with the Scrum methodology are advantageous. Proficiency in MS Office products, particularly MS Excel and PowerPoint, is necessary. Knowledge of end-to-end Supply Chain Planning processes, with a focus on data quality, governance, and standardization, would be a significant asset. Fluency in English is a must, with additional language skills in German, French, or Italian being beneficial. A keen interest in new technologies and digital solutions, coupled with strong interpersonal and communication skills, will further enhance your suitability for this role. At AIONEERS-EFESO, you will have the opportunity to become a thought leader in digital supply chain transformation. The company offers a conducive team culture, flexible work hours, respect for your ideas, open discussions, attractive remuneration, paid maternity and paternity leave, comprehensive insurance plans, sponsored certifications in relevant technology areas, and an office located at a prime location in Mannheim. The focus is on your results rather than hours worked, providing you with the chance to actively contribute to innovative business strategies on a global scale. Join us in reshaping supply chain management and crafting your own success story.,

As an Informatica MDM (Master Data Management) Associate Consultant, your role involves designing, developing, and implementing Informatica MDM solutions as per project requirements. You will be actively engaged in all phases of the software development life cycle, encompassing requirement gathering, design, development, testing, and deployment. Your responsibilities will include configuring and customizing Informatica MDM Hub components, such as data modeling, workflows, match and merge rules, and user interfaces. Additionally, you will be tasked with developing and optimizing data integration processes and APIs to facilitate efficient data movement and synchronization. Collaboration with business users, data stewards, and other stakeholders will be essential to comprehend data requirements and implement data quality rules and processes. You will also be responsible for performing data profiling, data cleansing, and data standardization activities. Furthermore, your role will involve conducting data mapping and transformation using Informatica MDM and ETL tools, as well as troubleshooting and resolving technical issues related to Informatica MDM implementation. Another crucial aspect of your role will be the creation and maintenance of technical documentation, comprising technical specifications, solution designs, and test plans. It is imperative to stay abreast of the latest trends and advancements in Informatica MDM and data management technologies to ensure you are equipped with the most up-to-date knowledge in the field. To qualify for this position, you should hold a Bachelor's degree in computer science, Information Technology, or a related field. A minimum of 2 to 4 years of hands-on experience in Informatica MDM development and implementation is required. A strong understanding of master data management concepts and principles is essential, along with proficiency in Informatica MDM Hub, including data modeling and configuration. Experience with Informatica Data Director, Informatica Data Quality, and other Informatica MDM components will be advantageous. Moreover, you should possess knowledge of data integration techniques, ETL (Extract, Transform, Load) processes, and data governance principles. Strong SQL and database skills are necessary, with familiarity in Oracle, SQL Server, or other databases. Additionally, a good grasp of web services, RESTful APIs, and XML is preferred. Excellent problem-solving and analytical skills, coupled with good communication and teamwork abilities, are crucial for success in this role.,

As a Data Engineering Lead, you will be responsible for developing and implementing data engineering projects, including enterprise data hubs or Big data platforms. Your role will involve defining reference data architecture, leveraging cloud-native data platforms in AWS or Microsoft stack, and staying updated on the latest data trends like data fabric and data mesh. You will play a key role in leading the Center of Excellence (COE) and influencing client revenues through innovative data and analytics solutions. Your responsibilities will include guiding a team of data engineers, overseeing the design and deployment of data solutions, and strategizing new data services and offerings. Collaborating with client teams to understand their business challenges, you will develop tailored data solutions and lead client engagements from project initiation to deployment. Building strong relationships with key clients and stakeholders, you will also create reusable methodologies, pipelines, and models for more efficient data science projects. Your expertise in data architecture solutions, data governance, and data modeling will ensure compliance with regulatory standards and support effective data management processes. You will be proficient in various data integration tools, cloud computing platforms, programming languages, data visualization tools, and big data technologies to process and analyze large volumes of data. In addition to technical skills, you will demonstrate strong people and interpersonal skills by managing a high-performing team, fostering a culture of innovation, and collaborating with cross-functional teams. Candidates for this role should have at least 10+ years of experience in information technology, with a focus on data engineering and architecture, along with a degree in relevant fields like computer science, data science, or engineering. Candidates should also possess experience in managing data projects, creating data and analytics solutions, and have a good understanding of data visualization, reporting tools, and normalizing data as per key KPIs and metrics. Strong problem-solving, communication, and collaboration skills are essential for success in this role.,

As a Machine Learning Engineer, you will be responsible for designing and developing robust analytics models using statistical and machine learning algorithms. Working closely with product and engineering teams, your role involves solving complex business problems, identifying data-driven opportunities, and creating personalized customer experiences. Your main tasks will include building end-to-end machine learning solutions, implementing models in production, and utilizing various data frameworks and tools like Python, Spark, and Databricks. Your key responsibilities will revolve around analytics model development. This will involve analyzing use cases and designing appropriate analytics models tailored to specific business requirements. You will develop machine learning algorithms to drive personalized customer experiences, provide actionable business insights, and apply data mining techniques for tasks such as forecasting, prediction, segmentation, recommendation, and fraud detection. In addition, you will work on data engineering and preparation tasks. This includes extending company data with third-party data to enhance analytics capabilities, improving data collection procedures, and preparing raw data for analysis. You will be responsible for cleaning, imputing missing values, and standardizing data formats using Python data frameworks such as Pandas and NumPy. When it comes to machine learning model implementation, you will implement models considering both performance and scalability using tools like PySpark in Databricks. You will design and build infrastructure to support large-scale data analytics and experimentation, and utilize tools like Jupyter Notebooks for data exploration and model development. To qualify for this role, you should have an undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields. While a PhD is preferred, it is not necessary. You should have at least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms like classification and regression analysis. Proficiency in Python-based machine learning libraries, analytics platforms like Databricks, and tools such as Pandas, NumPy, and Jupyter Notebooks is essential. Additionally, you should have at least 4 years of continuous experience with Spark, particularly PySpark implementation.,

As a Master Data Management (MDM) specialist with 3-4 years of experience in SAP Public Cloud, particularly focused on Materials Management (MM) and Sales & Distribution (SD), your primary responsibility will be to ensure data accuracy, consistency, and governance within the SAP system. Your role involves creating and managing master data on a regular basis as part of operational management. This includes developing MDM strategies, defining data standards, and implementing data governance frameworks. You will collaborate with various departments to maintain data quality and provide expertise in SAP MDM, ensuring end-users are properly trained and supported. Your key responsibilities will include: - Master Data Entry and Updation: Creating and managing master data for SAP Public Cloud, including Item Creation, Customer Creation, Vendor Creation, Tax Code allocation, Plant-related parameters, and GL, among others. - Data Management Strategy: Developing and implementing MDM strategies and policies to ensure data integrity and consistency across the SAP Public Cloud environment. - Data Governance: Designing and executing data governance frameworks to maintain high data quality, focusing on accuracy, completeness, and timeliness. - Data Standardization: Collaborating with business units to define master data requirements and standards, ensuring consistency across all master data domains. - Data Quality Monitoring: Monitoring and auditing master data to identify and resolve discrepancies, ensuring the accuracy and reliability of business-critical data. - Training and Support: Training and supporting end-users on MDM processes and best practices to promote a culture of data accuracy and consistency. - Data Consolidation: Ensuring the creation of a single, trusted source of truth for master data by integrating data from various SAP and third-party sources. - MM/SD Expertise: Possessing a deep understanding of Materials Management and Sales & Distribution modules within SAP, including specific master data requirements and best practices. Qualifications: - A graduate from a reputed institute with extensive experience in SAP systems, particularly MM and SD modules, and a strong understanding of SAP Public Cloud. - Data Management Skills: Strong understanding of data management principles, including data governance, data quality, and data integration. - Collaboration Skills: Ability to effectively collaborate with business users and IT teams to define and implement MDM strategies and processes. - Analytical Skills: Strong analytical skills to identify data issues, evaluate data quality, and recommend solutions, including performing reconciliations. - Communication Skills: Excellent communication skills to effectively train end-users and communicate MDM strategies and processes. - Problem-Solving Skills: Strong problem-solving skills to identify and resolve data discrepancies, ensuring data accuracy.,

The role of an associate in the IND team is to thoroughly review data for five critical quality factors: Consistency, Continuity, Completeness, Validity, and Referential Integrity. These data issues may arise during client data onboarding, implementation, and technical upgrades. It is important for the associate to periodically check data for anomalies even after client activation. Additionally, the role involves comparing data from the source to the destination across multiple subject areas. As an IC1 level employee, you will play a crucial role in the Health Data Intelligence team by serving as a subject matter expert in data onboarding and standardization. Your responsibilities include ensuring the accuracy, completeness, and integrity of healthcare data throughout the onboarding, implementation, and ongoing processes. You will conduct technical investigations, identify root causes of data issues, and resolve problems within the team's scope. Collaboration with external teams may be necessary to ensure timely issue resolution. Direct interaction with clients submitting service requests will be required to efficiently manage the support process. Your duties will involve reviewing data quality factors, particularly focusing on Consistency, Continuity, Completeness, Validity, and Referential Integrity during client onboarding, implementation, and technical upgrades. It will be essential to perform ongoing data quality checks post-client activation to maintain data accuracy across various subject areas. Analyzing and troubleshooting data inconsistencies, missing values, and errors will be necessary to uphold data integrity. Documentation of validation processes, issue resolutions, and system improvements will be critical for transparency and process enhancement. Compliance with HIPAA and other healthcare data standards will also be required. Efforts to automate validation processes wherever possible will be expected to improve efficiency and reduce manual work. As a member of the technical/process QA division, you will apply basic engineering principles to develop methods and procedures that enhance and maintain product quality standards. Oracle, a world leader in cloud solutions, values diverse perspectives and backgrounds for true innovation. The company is committed to expanding its inclusive workforce and promoting diverse insights and perspectives. With a history of success and integrity for over 40 years, Oracle provides global opportunities with a focus on work-life balance. Employee benefits at Oracle are highly competitive, designed on the principles of parity and consistency. The company prioritizes its people by offering flexible medical, life insurance, and retirement options. Employees are encouraged to participate in volunteer programs to give back to their communities. Oracle is committed to including people with disabilities in all stages of the employment process. If you require accessibility assistance or accommodation for a disability, please call +1 888 404 2494, option one. Oracle is a United States Affirmative Action Employer.,

You will be part of a dynamic team at one of the fastest growing digital technology service providers, working with Fortune 1000 companies to leverage innovative digital solutions for competitive advantage. As a digitally native full-service digital transformation services and consulting firm, we specialize in customer experience transformation, data analytics, Artificial Intelligence (AI), platform and product engineering, cloud infrastructure, and security. Your responsibilities will include creating and implementing MDM data, conducting data analysis to identify under merges and over merges for assessing data quality, utilizing API experience to write Python queries, and managing data profiling and standardization. Additionally, you will be involved in data matching, merging, enriching records, hierarchy maintenance, and working with the technical stack to support these activities.,

As a Consultant, you will collaborate in the fulfillment of consulting projects with a special focus on global markets. This will involve working closely with other consultants and project managers located in any of our global offices. Your responsibilities will include conducting primary research with healthcare professionals, industry players, industry associations, and national agencies. You will also be required to conduct secondary research on large data sets from various sources. Furthermore, you will collaborate in the analysis of quantitative and qualitative data for the development of financial models (e.g., eNPV), market models, economic impact models, health-economic models, as well as product adoption and acceptance models. Cleaning, transforming, and standardizing complex datasets from multiple sources will be essential to ensure consistency and reliability in analysis. You will be expected to design and develop interactive dashboards and reports using Excel and visualization tools such as Power BI and Tableau to communicate actionable insights to cross-functional teams. Additionally, developing market landscape presentations, market entry strategies, product positioning strategies, and other related tasks will be part of your role. Your work will involve solving complex business problems and participating in meetings and presentations to clients worldwide. Engaging in regular global training modules and required Pharmacovigilance training, both internally and client-specific, will also be a part of your responsibilities. Qualifications: - Minimum of 2-3 years of demonstrable experience within the healthcare industry in roles related to market insights/analytics, product management, strategy consulting, or related fields - Education: Masters degree in Biotechnology, Pharmacy (MPharm), Bioengineering/Biomedical Engineering, Business Administration, or a related field - Marketing, management consulting, market research, and reimbursement/pricing expertise are advantageous - Flexibility to work within a multicultural interdisciplinary team across various time zones - Fluent in English and preferably speak other foreign languages - Self-motivated with exceptional organizational skills - Advanced degree (PhD) is considered a plus,

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. We are seeking an experienced Data Strategy Specialist with a background in Supply Chain Management to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Your responsibilities will include: - Conducting data assessment for clients using different frameworks and supporting clients to build a successful data strategy. - Working closely with IT, supply chain, and other stakeholders to understand their data analysis needs and translate them into technical requirements. - Developing strategies to validate, clean, transform, and monitor data to ensure its accuracy, consistency, completeness, reliability, and timeliness for its intended uses. - Overseeing key standard reports and dashboards, ensuring legal and other compliance standards are followed. - Collaborating with IT, supply chain teams, and other stakeholders to ensure data integrity and compliance with company standards. - Staying current with the latest trends and technologies in Data in supply chain management to recommend improvements and innovations. - Participating in the full lifecycle of data governance projects, from requirements gathering to deployment and post-implementation review. - Performing Data Analysis and Data Manipulation as per client requirements and collaborating with cross-functional teams to implement data-driven strategic initiatives. - Possessing strong SQL, data integration, and handling skills, with exposure to AI Models, Python, and using them in Data Cleaning/Standardization. To qualify for this role, you must have: - 5+ years of experience as a Data Quality/Cleansing Specialist with a strong background in data quality/maturity frameworks. - Expertise in Data Governance design and setup, Data Strategy roadmap development and adoption, and familiarity with Data quality standards, Data profiling, Data quality assessment, Data quality reporting, Data cleaning, Monitoring and control, Data governance. - Experience in cloud databases like Snowflake, Azure, databricks. Ideally, you'll also have: - Exceptional communication skills to build strong business relationships with senior executives. - Superior internal and external stakeholder management skills with the ability to communicate, negotiate, and influence strategic outcomes. - Excellent critical thinking, problem-solving analytical capabilities as a Data Strategist, with the ability to translate complex solutions into clear and understandable content and context. - Knowledge of collecting and identifying business requirements and translating them into functional requirements and acceptance criteria. At EY, we offer support, coaching, and feedback from engaging colleagues, opportunities for skills development and career progression, and the freedom and flexibility to handle your role in a way that suits you best. EY exists to build a better working world, helping create long-term value for clients, people, and society, and build trust in the capital markets. Across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

We are looking for hardworking individuals to join our team in Bangalore, India office. Role Profile Index Data Management is part of the Benchmark & Indices Division. The Index Data Management Team is a customer focused, technology enabled team, producing High value & outstanding analytics & data derivations to drive insight and value to our internal and external customers. Index Data Management is responsible for crafting LSEG Intellectual Property by generating ICB Classifications, Free Float and similar data fields based on data standardization from raw data. For our team based in Bangalore we are currently recruiting for an Analyst Position in our Index Data Management Team. Analysts handle a wide range of data & information on a universe of companies, and for ensuring quality and accuracy in all our products. We are looking for individuals with very high attention to detail and who can work under strict delivery timelines. Besides data management you are encouraged to become a subject matter authority on capital markets and their operations, and information on companies and securities. Key Responsibilities Standardize & Maintain quantitative and qualitative data from multiple information sources including annual reports, websites, and other filings of public and private companies to a high degree of quality Support analysis with brief comments and rationale Provide appropriate references of source documents used Develop strong subject matter expertise on various parts of our data methodology Identify and suggest ideas for reducing effort spent on data management and analysis by using automation or by process optimization Supply towards developing and maintaining methodology mentorship and quality manuals The ability to work optimally with peers, research analysts, and manager both within the team as well as other teams in multiple time zones. Key Behaviours And Skills Required Bachelors Degree or equivalent experience Excellent Analytical Skills Excellent English Language Skills (write, read, talk) Excellent problem-solving skills Ability to work independently with high degree of ownership Ability to meet strict weekly timeliness and quality standards established by the department Ability to multi-task and be results driven Join us and be part of a team that values innovation, quality, and continuous improvement. If you&aposre ready to take your career to the next level and make a significant impact, we&aposd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyones race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what its used for, and how its obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Show more Show less

The job involves configuring and building the EDQ Tool for products data cleansing and transformation. You will be responsible for setting the metadata according to the PHC list of attributes. Your tasks will also include building product data transformation rules from any source system template to the PHC template in EDQ. You will need to perform data transformation based on provided values and transformation rules. Additionally, data deduplication and standardization in alignment with business rules will be part of your responsibilities. Your role will also involve iterative data cleansing during CRP, UAT, and PROD stages to support Go Live milestones.,

You are an experienced Data Quality Specialist with a background in Supply Chain Domain, seeking an opportunity to join a dynamic team. Your main responsibility will be to design, develop, and deploy data-driven solutions that improve supply chain operations and decision-making processes. Your key responsibilities include assessing data for clients using various frameworks, collaborating with IT and supply chain stakeholders to understand their data analysis needs, developing strategies to ensure data accuracy and consistency, overseeing standard reports and dashboards, and ensuring compliance with legal and other standards. You will also need to stay updated on the latest trends and technologies in Data for supply chain management and participate in data governance projects. To qualify for this role, you must have at least 3 years of experience as a Data Quality/Cleansing Specialist, expertise in Data Governance design and setup, and experience with data quality standards, data profiling, data quality assessment, data cleaning, monitoring, control, and governance. Exposure to cloud databases like Snowflake, Azure, and Databricks is preferred. Ideal candidates will possess exceptional communication skills, stakeholder management skills, critical thinking abilities, and the capability to translate complex solutions into clear and understandable content. You should be able to identify business requirements and translate them into functional requirements and acceptance criteria. Working at EY offers you the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle your role in a way that suits you, along with opportunities for personal development and growth in a high-quality, interdisciplinary environment.,

At EY, youll 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 were 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. We are currently looking for a Data Quality Specialist Senior to join our dynamic team. As a Data Strategy Specialist with a background in Customer Domain, you will be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Your key responsibilities will include data assessment for clients using different frameworks, collaborating with IT, supply chain, and other stakeholders to understand data analysis needs, developing strategies to validate, clean, transform, and monitor data, overseeing key standard reports and dashboards, ensuring compliance with legal and other standards, documenting data, collaborating with cross-functional teams, and staying current with the latest trends and technologies in Data for supply chain management. To qualify for this role, you must have at least 3 years of experience as a Data Quality/Cleansing Specialist with expertise in data quality/maturity frameworks, Data Governance design and setup, Data Strategy roadmap development, and proficiency in cloud databases like Snowflake, Azure, and databricks. Additionally, exceptional communication skills, stakeholder management skills, critical thinking, problem-solving capabilities, and the ability to translate complex solutions into clear content are highly desired. Working at EY offers a variety of benefits including support, coaching, and feedback from engaging colleagues, opportunities for skill development and career progression, as well as the freedom and flexibility to handle your role in a way that works best for you. EY is dedicated to building a better working world by creating long-term value for clients, people, and society, and building trust in the capital markets. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate across various sectors.,

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. We are seeking an experienced Data Strategy Specialist with a background in Supply Chain Domain and Finance to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Your key responsibilities include: - Conducting data assessment for clients using different frameworks and supporting clients to build a successful data strategy. - Working closely with IT, supply chain, and other stakeholders to understand their data analysis needs and translating them into technical requirements. - Developing strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeliness for its intended uses. - Overseeing key standard reports and dashboards, ensuring legal and other compliance standards are followed, and maintaining data documentation. - Collaborating with IT, supply chain teams, and other stakeholders to ensure data integrity and compliance with company standards. - Staying current with the latest trends and technologies in Data in supply chain management to recommend improvements and innovations. - Participating in the full lifecycle of data governance projects, from requirements gathering to deployment and post-implementation review. - Performing Data Analysis and Data Manipulation as per client requirements. - Collaborating with cross-functional teams to implement data-driven strategic initiatives. - Possessing strong SQL, data integration, and handling skills, with exposure to AI Models, Python, and using them in Data Cleaning/Standardization. To qualify for the role, you must have: - 3+ years of experience as a Data Quality/Cleansing Specialist with a strong background in data quality/maturity frameworks. - Experience in integrating data from ERP Systems, strong hands-on experience in SQL and Informatica, along with data quality standards, profiling, assessment, reporting, cleaning, monitoring, and control, and data governance. - Experience in cloud databases like Snowflake, Azure, and Databricks. Ideally, you'll also have: - Exceptional communication skills to build strong business relationships with senior executives. - Superior internal and external stakeholder management skills with the ability to communicate, negotiate, and influence strategic outcomes. - Excellent critical thinking, problem-solving, and analytical capabilities as a Data Strategist. - The ability to build storylines and translate complex solutions into clear and understandable content and context. - The capability to collect and identify business requirements and translate them into functional requirements and acceptance criteria. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, with inspiring and meaningful projects. We focus on education, coaching, and practical experience for personal development. We value our employees and offer support, coaching, and feedback from engaging colleagues, opportunities for skill development and career progression, and the freedom and flexibility to handle your role in a way that suits you. EY exists to build a better working world, helping create long-term value for clients, people, and society while building trust in the capital markets. Join us in building a better working world. Apply now.,

You are not the person who settles for just any role. Neither are we. Because we are out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you will bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you will help deliver better care for billions of people around the world. It all starts with YOU. As a Data Transformation Senior Consultant, your primary responsibility will be the transformation of Global People data from various sources into the format required by downstream systems and our Workday HRIS. You will oversee the Workday EIB (ETL) process. In this role, you will: - Extract data from multiple sources such as databases, applications, and flat files. - Map data to define how information from different sources should be matched and transformed to align with the target structure. - Apply various manipulation techniques like aggregation, filtering, calculation, and normalization to structure the data appropriately. - Validate data to ensure quality and accuracy post transformations. - Integrate data from multiple sources into a unified dataset. - Standardize data by applying consistent formatting and data types across the dataset. - Document transformation processes meticulously to maintain records of transformation logic, mappings, and data lineage for traceability and troubleshooting. - Develop transformation workflows using ETL (Extract, Transform, Load) tools and principles, including Workday EIBs. - Identify and resolve performance bottlenecks within data transformation processes to optimize performance. Huggies. Kleenex. Cottonelle. Scott. Kotex. Poise. Depend. Kimberly-Clark Professional. You are likely familiar with our legendary brands, as millions of people use Kimberly-Clark products every day. At Kimberly-Clark, you will be part of a team committed to driving innovation, growth, and impact. The company has a rich history of over 150 years of market leadership and is constantly seeking new and improved ways to excel. This is your opportunity at Kimberly-Clark. You perform at the highest possible level and thrive in a performance culture driven by genuine care. You want to be part of a company that is actively committed to sustainability, inclusion, wellbeing, and career development. You find purpose in your work, especially when it makes a difference. Kimberly-Clark is dedicated to exploring new ideas on achieving results effectively. With Flex That Works, you will have flexible work arrangements that empower you to have meaningful time in the office while collaborating with your leader to make flexibility work for both you and the business. In technical roles at Kimberly-Clark, the focus is on winning with consumers and the market while prioritizing safety, mutual respect, and human dignity. To excel in this role, the following qualifications are required: - 5+ years of experience in hands-on data transformations using ETL tools, specifically Workday EIBs. - Demonstrated problem-solving skills in identifying and resolving data transformation challenges. - Effective communication of data mapping, transformation, structure, critical requirements, and findings to stakeholders. - Proven data modeling ability by developing data structures and relationships. - Knowledge of Power BI, Power Query, and SQL with the ability to create data visualizations. To be considered for this role, click the Apply button to complete the online application process. Our recruiting team will review your application and follow up if you are a great fit for the position. Please visit the careers website for more information. *The statements above describe the general nature and level of work performed by employees in this classification. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required for this position.* Employment is subject to verification of pre-screening tests, including drug screening, background check, and DMV check. **Primary Location:** No KC Work Site - India **Additional Locations:** Not specified **Worker Type:** Employee **Worker Sub-Type:** Regular **Time Type:** Full time,

As a part of Comcast, you will play a vital role in maintaining uniform access and complete transparency for data assets, which are essential for making informed business decisions that drive profitable growth. Your responsibilities will include collecting, analyzing, and validating data aligned with business requirements before it is stored for final use by the organization and its clients. Furthermore, you will provide technical requirements to operationalize data assets for organizational and client use, ensuring data accuracy through quality assurance checks, daily monitoring, triage, and user communication. Your efforts will also involve enhancing transparency to upstream source owners regarding data availability and accuracy alerts to stabilize data for downstream use. While working with moderate guidance in your area of expertise, you will contribute to various aspects of the data lifecycle processing to maintain transparent communication and meet deadline expectations. Key Responsibilities: - Contribute to utilizing business unit data for reporting, analytics, and addressing user community inquiries. - Participate in data discovery, profiling, requirements gathering, testing, and documentation processes. - Collaborate with business units to document enterprise base and semantic layer requirements. - Assist in estimating effort and timelines with the management team. - Maintain detailed documentation throughout the data lifecycle processing. - Support the development of business rules and logic for data harmonization. - Assist in creating test plans and conducting User Acceptance Testing for data-dependent projects. - Contribute to standardization efforts for referential data used in data analysis and project output. - Provide regular status updates to the leadership team. You will be expected to adhere to Comcast's Operating Principles, prioritize customer experience, stay abreast of technology advancements, collaborate effectively within a team, and actively contribute to the Net Promoter System. Additionally, you will be required to demonstrate punctuality, exercise independent judgment, and fulfill assigned duties and responsibilities. Working nights and weekends based on project requirements may be necessary. Qualifications: - Education: Bachelor's Degree - Relevant Work Experience: 2-5 Years Please note that while holding a Bachelor's Degree is preferred, Comcast also considers applicants with a combination of coursework and experience or extensive related professional experience. This job description provides an overview of the general responsibilities and expectations for this role and is not an exhaustive list of duties, responsibilities, and qualifications.,

You will be responsible for defining and implementing the data governance strategy within the Telecom Domain. This role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. As a Telecom Data Governance Lead, you will define and implement an enterprise-wide data governance framework. You will own the metadata catalog, ensuring consistency across business and technical assets. Additionally, you will develop and manage KPI registries, data dictionaries, and lineage documentation. Collaborating with data stewards and domain owners is essential to establish attribute ownership. Your role will also involve leading efforts around data standardization, quality rules, and classification of sensitive data. Ensuring privacy and compliance by enforcing tagging, masking, and access rules is a key responsibility. Defining access control rules, overseeing governance for data products and federated data domains, supporting audits, and coordinating with various teams are also part of the role. To qualify for this position, you should have a Bachelor's or Master's degree in Computer Science, Telecommunications Engineering, Data Science, or a related technical field. A minimum of 10 years of experience in data governance roles, with at least 3-4 years specifically in the telecommunications industry, is required. Experience integrating governance with modern data stacks such as Data bricks and Snowflake is essential. Proficiency in data governance tools like Alation, Unity Catalog, Azure Purview, and a proven understanding of metadata management, data lineage, and data quality frameworks are necessary. Experience in implementing federated governance models, data stewardship programs, and knowledge of compliance requirements (GDPR, HIPAA, PII, etc.) are important qualifications. Familiarity with data mesh principles, data contract approaches, excellent communication, stakeholder management skills, and a background in telecom, networking, or other data-rich industries are beneficial. Certification in data governance or management frameworks is a plus.,

Seeking a new challenge where your professional and personal aspirations are not only possible but supported Kaufman Rossin might be just the place for you! As one of the top accounting firms in the country, our foundation is people first. In the words of James Kaufman, "We prioritize our people, their development, and their well-being. Our values are translated into action every day." Celebrated as the Best Place to Work in South Florida over a dozen times, Kaufman Rossin has grown to over 600 employees, with offices spanning the tri-county area, including sister entities Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services. The Firm is ranked 49 among the top 100 firms in the US by Inside Public Accounting 2023. Internationally, the Firm has offices in Bangalore and Haryana in India and the Ivory Coast in Africa. Kaufman Rossin Professional Services Private Limited's (the Company) offices are located in the World Trade Center (WTC) in Bangalore, Karnataka, India, and at the Unitech Cyber Park in Gurgaon, Haryana, India. While the Bangalore office provides a range of services, including risk management, corporate governance, tax, assurance, and family office services, out of the Gurgaon office, we render highly specialized back office alternative investment services for global hedge funds and related fund types. Think you have what it takes We are looking for a detail-oriented Data Steward to join our India team. You will ensure data quality, Security, compliance by managing Data assets, implementing data governance policies, and collaborating with stakeholders to maintain data integrity and usability. How You'll Contribute: - Establish and enforce data quality standards and processes to ensure consistency and reliability across systems. - Proactively identify and resolve data quality issues, including data cleansing and standardization to maintain high-quality data. - Track and monitor data quality metrics to ensure data accuracy and address any discrepancies. - Ensure that data is complete, consistent, and accurate to support effective decision-making and business operations. Requirements: What Skills You'll Bring: - Bachelor's Degree in a related field. - Strong Understanding of Data Quality Standards. - Experience with Data Cleansing & Standardization. - Proficiency in Monitoring Data Metrics. - Proficiency in Microsoft Office Applications. - Ability to work overtime. How You'll Stand Out: - SQL experience is a plus. - STAR Practice Management experience is a plus. - BC365 experience is a plus. Benefits: - Work-Life Balance. - People First Company. - Hybrid work policy. - Working directly with peers in the US.,

Bringing together traditional and alternative investments, you will provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, you will offer investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors, and individuals, overseeing more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team passionate about the craft, clients, and building sustainable success. You are investors, advisors, thought leaders, and innovators spanning traditional and alternative markets, offering timely insights and using digital solutions to address complex challenges and meet financial goals. Operations is a dynamic, multi-faceted function partnering with all parts of the firm to provide banking, securities, and asset management services globally. Operations ensures essential risk management and controls to preserve and enhance the firm's assets and reputation. Your impact will be significant as part of the Asset and Wealth Management Division (AWM) team, collaborating with various groups to facilitate multi-asset, dynamic, and bespoke business in a high-growth investing environment. As a member of the Data Management & Controls Operations team within AWM, you will play a vital role in ensuring timely, complete, and accurate data across all investing products for business and regulatory reporting. You will drive the creation of a data quality program and governance strategy to improve data reliability, oversee administrative aspects of investments, and work with cross-functional teams to enhance data infrastructure. Your responsibilities will include data entry, cleansing, standardization, resolving data breaks, implementing governance models, analysing root causes, synthesizing data, collaborating with teams, establishing controls, and driving priorities while exhibiting excellent judgment and problem-solving skills. Basic qualifications for this role include a Bachelor's degree with a minimum of three years of experience in financial services, preferably in a data operations role. You should possess proven analytical skills, problem-solving ability, attention to detail, relationship-building aptitude, communication skills, self-motivation, proactive teamwork, organizational skills, ability to manage competing priorities, flexibility, and knowledge/experience in an Operations role. Goldman Sachs commits its people, capital, and ideas to help clients, shareholders, and communities grow. The firm fosters diversity and inclusion, offering opportunities for professional and personal growth through training, development, networks, benefits, wellness programs, and mindfulness initiatives. Goldman Sachs is an equal employment/affirmative action employer committed to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process.,

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

You should have 2-4 years of relevant experience in producing periodic accurate and timely Client Reports and Presentations across multiple investment strategies for an Asset Manager or Bank. Your responsibilities will include working with others to draft Requirement Documents, review data sets, source data accurately, standardize data for consistency, create reporting templates, perform testing, and implement suitable reporting templates in a timely manner. You must have a proven working knowledge of client reporting platforms, processes, internal and external data providers, and a strong sense of risk mitigation. Coordinating information flow between relevant internal business areas to ensure accurate and timely completion of reports is crucial. Additionally, you should continuously maintain reporting templates, suggest ways to check for data issues and resolve them, manage project timelines, support functional testing, and deployment. Experience in MS Excel, MS Power Query / BI, automation software like Alteryx, SQL, Simcorp Coric, object-oriented programming, TFS, .NET, C#, and understanding of performance principles and calculations is required. Your role will involve creating and maintaining SOPs, risk logs, BCP, suggesting and implementing tools to automate and optimize reporting workflows, and resolving automation issues. You should have excellent communication and interpersonal skills, be highly motivated, independent, have a strong interest in solving complex problems, and be able to manage projects and deadlines effectively. Maintaining strong working relationships with external/internal clients and responding to queries in a timely manner is essential.,

You should have 2-4 years of relevant experience in producing periodic, accurate, and timely client reports and presentations across multiple investment strategies regularly for an asset manager or bank. It is essential to have a proven working knowledge of client reporting platforms, processes, internal and external data providers, coupled with a strong sense of risk mitigation. Your responsibilities will include working with others to draft requirement documents, reviewing data sets and flows for suitability and quality, accurately sourcing data, standardizing data for consistency, creating reporting templates with accurate configurations, performing functional/integration testing, and implementing suitable reporting templates in a timely manner. Coordinating information flow between all relevant internal business areas to ensure all allocated reports are completed accurately and promptly is crucial. You will need to continuously maintain reporting templates to ensure they are operating efficiently and fit for purpose. Identifying and resolving data issues promptly is essential. Managing project timelines, supporting functional/integration testing and deployment, creating and maintaining SOPs, risk logs, and BCP are also part of your responsibilities. Proficiency in MS Excel, MS Power Query/BI, automation software like Alteryx, and SQL is required. You should be able to suggest and implement tools to automate and optimize reporting workflows and mitigate risks. Experience with Simcorp Coric, object-oriented programming, TFS, .NET, and C# would be highly beneficial. A strong understanding of the end-to-end process of data collection, data review, and report production, including performance principles and calculations, is essential. You should demonstrate an understanding of how incorrect data points can impact reporting. Excellent communication and interpersonal skills, along with a command of English, are necessary. You must be highly motivated, independent, have a strong interest in solving complex problems, and demonstrate a proven ability to manage projects and deadlines effectively. Maintaining strong working relationships with all external/internal clients, ensuring clear and accurate communication, and responding to queries promptly are critical aspects of this role.,