959 Data Cleansing Jobs - Page 26

Mech Design guys ready to shift to Product Data Management & handle: PMD tasks in CS Quotations from MATCH locations Global PMD in SAP-MRP Type, Weight, Dimensions, Delivery Time & Origin, Stackable Process Intercompany Order Manage information flow Required Candidate profile Understand technical /mechanical topics-machines / spare /wear parts Exp with data admn Good communication in English-MUST MS Office Interpersonal/teamwork Customer focus Manufacturing Background ONLY Perks and benefits Good Mech Design Exp; ready to shift to PDM-MUST

Artha India Ventures is looking for Data Analytics & Research Intern 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.

. This role supports the Customer Experience and Commercial Transformation (CXCT) organization, driving the data transformation agenda for UNIFY and CXCT. UNIFY is Schneider Electric s global business transformation initiative, integrating business, supply chain, and finance processes into a standardized, simplified global model. This transformation is enabled by the adoption of SAP Public Cloud (market standard processes), requiring re-engineering of processes, tools, data, and operating models to align with market-standard practices. CXCT and UNIFY Collaboration Partner with multiple streams (Domain/Sub-domain Data Teams, Business Process Owners, Central Governance, Data Domain Owners, etc.) to clarify and drive the Data Transformation for business transformation. Develop and implement a detailed plan that encompasses all data activities aligned with the goals of the transformation program, with a specific focus on unifying ERP systems within SAP S/4 HANA. Master Data Leadership o Serve as a data and technology leader for master data within the transformation program. o Act as a subject matter expert for the Order-to-Cash data stream, understanding global and local business flows and related data dependencies. o Analyze end-to-end data flows across applications and SAP Public Cloud, identifying impacts and opportunities for optimization. Data Architecture & Modeling o Enrich and align the target data model with business requirements and best practices. o Identify data owners and authoritative sources for each attribute to ensure accountability and traceability. o Define critical data elements (CDEs) for the data objects. Data Quality & Governance o Engage with data domain leaders to define governance requirements and implement tailored governance models. o Enforce data governance processes to uphold data integrity, compliance, and security. o Support the adoption of SAP Master Data Governance (MDG) and other relevant platforms. Data Migration o Understand business requirements and support the definition of the data migration strategy at the object level. o Define the scope of data objects and attributes to be included in migration activities. o Identify data cleansing rules and ensure their application across relevant data sets. o Ensure alignment of migration activities with transformation goals and data readiness. CXCT Data Office Responsibilities Cascade and adapt the data strategy and vision to all relevant teams including, but not limited to data domain offices. Clearly communicate strategy, agenda, priorities, ways of working to senior leaders, unit members and relevant stakeholders in the domain data offices Re-configure/Hire/Elevate resources to build the virtual delivery pool for DCR (e.g. tapping into the distributed resources) Establish o Convergence : standardization of data problem solving, data, tech, people practices and adoption of common language and change management o Cross-leverage : leveraging data assets, tech assets, tools and processes from across business functions and establishing global benchmarks) o Collaboration : build the right organizational structure and governance to share knowledge and scale Initiate data capability building and change management through workshops. Set-up or leverage current communities of practice (data governance, master data management) for value cross-pollination. Human Resources Responsibilities Support UNIFY data resources identification and hiring - Onboard with a minimal ramp up time. Support the build and management of the data operations network in domains and geos, leveraging the data business officer network. Provide mentorship for the purpose of developing a continuous talent pipeline for key roles in the CXCT data offices. Technical Requirements Over 10 years of experience in SAP S/4HANA implementation, with a strong understanding of Order to Cash business processes and data management. Expertise in driving the strategy, vision, and mission for data management, including but not limited to Master Data initiatives. Proven experience in identifying data requirements for relevant SAP business processes and ensuring that the necessary data is available. Hands-on experience in managing SAP data, including data mapping, migration, data quality, and analytics. Familiarity with SAP Master Data Governance and its capabilities is a plus. Experience in developing and implementing data quality improvement frameworks. Understanding of global data privacy and security guidelines and best practices is a plus. Fluent understanding of the technical architecture within a complex application landscape. Professional Competency Requirements Excellent interpersonal skills, strong verbal and written communication skills, attention to details, and intuitive storytelling ability Excellent problem-solving, organizational, and analytical skills with the ability to make high-velocity decisions quickly and based on data, industry trends and stakeholder feedback. Confidence, engaging leader, able to communicate a vision and bring people along on the journey. Pro-active problem solver with an ability to take initiative and have a strong sense of ownership over shaping and executing upon our analytics transformation initiatives. A change agent attitude, constantly pushing for new opportunities, more efficient processes, and new perspectives. The successful candidate will have an exceptional track record of working within businesses to tackle large-scale business problems, across multiple domains and functions. You must have commercial acumen, ability to understand business problems, exceptional interpersonal skills, and strong background in the data field. Furthermore, you will have a demonstrable track record of successfully building and managing scaled, high-quality, data solutions for internal or external organizations with high adoption rates. You must be a self-motivated, team player who can contribute to the overall business objectives of the organization.

Join global organization with 82000+ employees around the world, as a Senior SQL Developer based in IQVIA Bangalore. You will be part of IQVIA s world class technology team and will be involved in design, development, enhanced software programs or cloud applications or proprietary products. Qualifications Excellent data skills (data cleansing, manipulation, analysis) Intermediate Excel skills (pivot tables, complex formulas, pivot tables) Strong SQL programming skills Detail oriented, process documentation skills Strong communication and interpersonal skills Able to work with business team to probe, understand, and execute project requirements Excellent problem-solving and analytical skills Basic to intermediate knowledge of statistics Experience with data visualization/ BI software - Tableau, MicroStrategy, etc.

Join us as a Data Governance Analyst at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. Youll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as Data Governance Analyst, you should have experience with: Data and Record governance, data controls, data lineage and associated methodologies. Experience in data products, cloud and data warehouses Business Domain (Retail or Banking) and Regulatory reporting experience. Working in a regulated environment and solid understanding of data and control risk management. SQL and related skill set Knowledge is required Additional relevant skills include: Understanding of different technologies around the execution of data control. Ability to proactively drive change. Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders. Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls. Proficiency in data analytics and insight generation to derive actionable insights from data. AWS (Any Cloud) and related components and Python Skill set will have added advantage. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Job Title: Data Processing (DP) Executive Location: MIDC, Andheri East, Mumbai Work Mode: Work From Office (WFO) Work Days: Monday to Friday Work Hours: 9:00 PM 6:00 AM IST (Night Shift) Job Summary: We are seeking a highly skilled and detail-oriented Data Processing (DP) Executive to join our team. The ideal candidate will have a solid background in data analysis and processing, strong proficiency in industry-standard tools, and the ability to manage large data sets efficiently. This role is critical in ensuring data integrity and delivering accurate insights for business decision-making. Key Responsibilities: Manage and process data using tools like SPSS and Q programming . Perform data cleaning, transformation, and statistical analysis. Collaborate with research and analytics teams to interpret and format data for reporting. Create reports and dashboards; experience with Tableau or similar visualization tools is an advantage. Utilize SQL for data querying and validation. Ensure accuracy and consistency of data deliverables across projects. Handle multiple projects simultaneously with a keen eye for detail and timelines. Technical Skills: Proficiency in SPSS and Q programming . Strong understanding of data processing techniques and statistical methods. Familiarity with Tableau or other data visualization tools (preferred). Basic working knowledge of SQL . Educational Qualifications: Bachelor's degree in Statistics, Computer Science, Data Science , or a related field. Experience: Minimum 3 years of experience in data processing or a similar analytical role. Soft Skills: Excellent analytical and problem-solving abilities. Strong attention to detail and accuracy. Good communication skills and the ability to work in a team-oriented environment. Self-motivated with the ability to work independently and manage multiple tasks effectively.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Graduate Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : SAP Master Data Governance MDG Tool Good to Have Skills : No Technology Specialization Job Requirements : Key Responsibilities : 1 Good knowledge of Implementing and managing master data governance solutions 2Worked on enhancements and extensions to the standard SAP MDG 3 Worked on monitoring the performance of SAP MDG applications and workflows 4 Good knowledge in ABAP Technical Experience : 1 4-5 years experience in MDG 1-2 years in ABAP 2 Worked on comprehensive documentation of SAP MDG solution designs 3 Good knowledge of MDG configurations 4 Good in impact analysis Worked on solution design and Implementation 5 Good experience of Customization and Enhancements Customize SAP MDG applications using SAP technologies like ABAP, SAP UI5, and WebDynpro 6 Worked on optimize application efficiency and scalability 7 MDG Functional Knowledge. Professional Attributes : 1 Good communication skill 2 Good analytical skill Educational Qualification: Graduate Across location flex

Job Description Summary The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospaces multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with basic experience. Desired Characteristics: - Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. - Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems. - Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL). - Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams - Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains. Preferred Qualifications: - Awareness of feature extraction and real-time analytics methods. - Understanding of analytic prototyping, scaling, and solutions integration. - Ability to work with large, complex data sets and derive meaningful insights. - Familiarity with machine learning techniques and their application in solving real-world problems. - Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. - Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Domain Knowledge: Demonstrated awareness of industry and technology trends in data science Demonstrated awareness of customer and stakeholder management and business metrics Leadership: Demonstrated awareness of how to function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation skills Personal Attributes: Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward . Additional Information Relocation Assistance Provided: No

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

We are looking for a skilled Power BI Developer to design, develop, and manage business intelligence solutions that provide actionable insights. You will work closely with stakeholders to understand data needs and transform complex datasets into intuitive, interactive dashboards and reports using Power BI. Key Responsibilities: Understand business requirements and translate them into technical BI solutions Design and develop Power BI dashboards, reports, and datasets Optimize data models for performance and scalability Use Python scripts within Power BI for advanced data manipulation, forecasting, and automation Integrate data from multiple sources (SQL, Excel, APIs, etc.) Work with DAX and Power Query for data transformation and calculations Collaborate with data engineers and business analysts to ensure data accuracy Maintain and support existing BI solutions and troubleshoot issues Stay current on Power BI updates and best practices Requirement: Bachelor's degree; MBA or relevant technical degree preferred, with 3-7 years of experience in Data Analytics. Excellent visualization skills, storytelling abilities, and familiarity with best practices for conveying insights in an intuitive and visually compelling manner. Experience in creating, collecting, analyzing, and communicating business insights from data. Strong background in retention, churn, engagement, and marketing analytics metrics. Knowledge of analytics self-service BI approaches and predictive analytics solutions is a strong advantage. Proficiency in SQL and experience working with Microsoft Azure environment. Experience in statistical techniques (e.g., R, hypothesis testing). 2-3 years of hands-on experience with BI Tools such as Tableau, Power BI, or Fabric. Knowledge of GCS or AWS, AI/ML will be a plus. Preferred Qualifications: Microsoft Power BI certification Experience with large data sets and performance tuning

Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Python Professionals in the following areas : Job Description: This Position will be Right to Hire! Experience 5+ years Degree in computer science, engineering, or similar fields Skill Set: AWS, Python, PySpark Primary Responsibilities Responsible for designing, developing, testing and supporting data pipelines and applications Industrialize data feeds Experience in working with cloud environments AWS Creates data pipelines into existing systems Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms. Improves data cleansing and facilitates connectivity of data and applied technologies between both external and internal data sources. Establishes a continuous quality improvement process and to systematically optimizes data quality Translates data requirements from data users to ingestion activities B.Tech/ B.Sc./M.Sc. in Computer Science or related field and 3+ years of relevant industry experience Interest in solving challenging technical problems Nice to have test driven development and CI/CD workflows Knowledge of version control software such as Git and experience in working with major hosting services (e. g. Azure DevOps, Github, Bitbucket, Gitlab) Nice to have in working with cloud environments such as AWSe especially creating serverless architectures and using infrastructure as code facilities such as CloudFormation/CDK, Terraform, ARM. Hands-on experience in working with various frontend and backend languages (e.g., Python, R, Java, Scala, C/C++, Rust, Typescript, ...) At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

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

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

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

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

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

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

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

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

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

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

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

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

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