300 Data Cleansing Jobs - Page 6

Greetings from Euclid!! We are Hiring!!!!! Role: Legal Professional/ Legal Data Analyst/ Legal Documentation Job Description: We are looking for resource who have experience in managing data & contract for legal teams. Exp 7+ years Location Gurgaon (preferred ) Job Description Extensive experience working in MS Excel spanning formulas, pivot tables, and advanced functions (e.g., VLOOKUP, XLOOKUP, INDEX / MATCH) Support the parsing, organizing, and tracking of large volumes of contract metadata within Excel spreadsheets Automate repetitive tasks using Excel macros or VBA scripts to streamline review and analysis Collaborate with Legal and Business stakeholders to understand contract structures, potential extraction issues, and opportunities for normalization Create simple dashboards or visualizations in Excel to summarize contract metadata Assist in migrating and/or overlaying contract data from Excel to Evisort repository

Responsibilities : - Data Gathering/ Data Analysis/Data Modelling/ Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Job Description: We are seeking a skilled AI Engineer with 3-4 years of experience to design, develop, and deploy AI/ML solutions, with a strong emphasis on Generative AI, NLP, Retrieval-Augmented Generation (RAG), and Time Series Forecasting. The ideal candidate will have hands-on experience with LangGraph and other Generative AI frameworks to build cutting-edge AI applications. Key Responsibilities: Develop and deploy AI/ML models with a focus on NLP, Generative AI, RAG, and Time Series Forecasting workflows. Engineer and refine prompts to optimize performance for large language models (LLMs) and generative AI applications. Implement and maintain data preprocessing pipelines, including data cleansing, feature engineering, embedding generation, and transformation for time series data. Develop end-to-end solutions integrating LLMs with VectorDB (e.g., Weaviate, Pinecone, FAISS) for document retrieval, semantic search, and contextual query answering. Utilize LangGraph and other Generative AI frameworks to build structured workflows for LLM-based applications. Train and fine-tune machine learning models, including LLMs, to optimize performance for various use cases. Analyze and interpret complex datasets, including time series data, ensuring scalable and efficient AI model deployment. Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows. Ensure models are robust, scalable, and adhere to best practices in ethical AI development. Conduct testing, performance benchmarking, and iterative refinements of AI models and pipelines. Stay updated with the latest advancements in AI/ML, NLP, and cloud technologies and recommend integration strategies for emerging tools and techniques. Create technical documentation and presentations to effectively communicate AI concepts to stakeholders. Required Skills: AI/ML Expertise: Proven experience in developing, fine-tuning, and deploying AI/ML models, focusing on NLP, Generative AI, and Time Series Forecasting. Prompt Engineering: Proficiency in designing, testing, and optimizing prompts for LLMs. Data Analysis: Strong ability to process and interpret large and complex datasets, including time series data, for AI model training and validation. Programming: Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. NLP Techniques: Understanding of tokenization, embeddings, transformer-based models (e.g., BERT, GPT, LLaMA), and RAG workflows. Vector Databases: Experience with Weaviate, Pinecone, FAISS, or similar VectorDBs for document retrieval and storage. LangGraph & GenAI Frameworks: Hands-on experience with LangGraph, LangChain, HuggingFace Transformers, OpenAI API, and other Generative AI tools. Cloud Deployment: Familiarity with deploying AI solutions on AWS, GCP, or Azure. Time Series Forecasting: Experience with ARIMA, LSTM, Prophet, and other forecasting techniques. Model Training & Fine-Tuning: Ability to train and fine-tune machine learning models, including large language models (LLMs), to enhance performance and accuracy. Problem-Solving & Collaboration: Strong analytical, problem-solving, and teamwork skills to work effectively in a cross-functional environment. Preferred Skills: Experience in implementing RAG workflows and integrating generative AI with retrieval-based systems. Familiarity with ethical AI principles and compliance frameworks. Knowledge of additional programming languages such as JavaScript or SQL. Proficiency in MLOps practices for automating AI/ML pipelines and lifecycle management. Experience in developing AI-driven applications for real-world industry use cases.

Overview We are seeking an experienced and strategic leader to join our Business Intelligence & Reporting organization as Deputy Director BI Governance. This role will lead the design, implementation, and ongoing management of BI governance frameworks across sectors and capability centres. The ideal candidate will bring deep expertise in BI governance, data stewardship, demand management, and stakeholder engagement to ensure a standardized, scalable, and value-driven BI ecosystem across the enterprise. Responsibilities Key Responsibilities Governance Leadership Define and implement the enterprise BI governance strategy, policies, and operating model. Drive consistent governance processes across sectors and global capability centers. Set standards for BI solution lifecycle, metadata management, report rationalization, and data access controls. Stakeholder Management Serve as a trusted partner to sector business leaders, IT, data stewards, and COEs to ensure alignment with business priorities. Lead governance councils, working groups, and decision forums to drive adoption and compliance. Policy and Compliance Establish and enforce policies related to report publishing rights, tool usage, naming conventions, and version control. Implement approval and exception processes for BI development outside the COE. Demand and Intake Governance Lead the governance of BI demand intake and prioritization processes. Ensure transparency and traceability of BI requests and outcomes across business units. Metrics and Continuous Improvement Define KPIs and dashboards to monitor BI governance maturity and compliance. Identify areas for process optimization and lead continuous improvement efforts. Qualifications Experience12+ years in Business Intelligence, Data Governance, or related roles, with at least 4+ years in a leadership capacity. Domain ExpertiseStrong understanding of BI platforms (Power BI, Tableau, etc.), data management practices, and governance frameworks Strategic MindsetProven ability to drive change, influence at senior levels, and align governance initiatives with enterprise goals. Operational ExcellenceExperience managing cross-functional governance processes and balancing centralized control with local flexibility. EducationBachelor's degree required; MBA or Masters in Data/Analytics preferred.

About the role The Senior Data Manager plays a crucial role by ensuring the highest standards of data quality measurement, monitoring, analysis, and remediation. With a primary focus on data quality, the Senior Data Manager adopts a data quality by design approach to drive excellence in data management. This role also involves expertise in master data management and data governance to support effective decision-making and operational efficiency. Develop and implement data quality measurement frameworks, methodologies, and tools to assess and monitor data quality across the organization. Conduct in-depth data quality analysis, identify data issues, and recommend appropriate remediation strategies to improve data accuracy, completeness, consistency, and integrity. Collaborate with cross-functional teams to establish data quality standards, policies, and procedures, ensuring adherence to regulatory requirements and industry best practices. Drive the adoption of a data quality by design approach, integrating data quality controls and processes into system development life cycles and data management practices. Provide expert guidance and support in master data management, including data modeling, data mapping, data integration, and data cleansing activities. Establish and maintain data governance frameworks, including data stewardship, data ownership, and data quality roles and responsibilities. Develop and deliver training programs to enhance data management capabilities across the organization, promoting a data-driven culture Collaborate with IT teams to ensure data quality tools and technologies are effectively implemented and utilized to support data management initiatives. Stay updated with industry trends, emerging technologies, and regulatory changes related to data management, and recommend innovative solutions to enhance data quality and governance practices. Foster strong relationships with internal stakeholders, including business leaders, data owners, and data custodians, to drive collaboration and alignment in data management efforts. Work closely with data stewards and data owners to define and enforce data quality standards and policies. About you knowledge and abilities Proven experience in data management, data quality measurement, and data analysis within a multinational network and IT services organization. Strong knowledge of data quality frameworks, methodologies, and best practices. Excellent analytical and problem-solving skills, with the ability to identify data issues and recommend effective remediation strategies. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders at all levels. Ability to drive initiatives from within the team and realize them for organization and/or teams benefit. Continuous learning mindset to stay updated with emerging trends and technologies in data management. Education, qualifications, and certifications A bachelor's degree in science, computers/IT, engineering or commerce. Professional Software Certifications on Data Management Analysis will be a plus. Project Management certifications such as SCRUM, PRINCE2, PMi-ACP & ITIL will be an advantage. Experience The right person for this role will be a seasoned expert in data management and have extensive experience of Data Governance, Master Data & Data quality. Should have worked on handling Data Quality & Governance projects. Positive work attitude with ability to work well as a team with personnel from other teams/organizations. Additional information why become a Senior Data Manager? As a Senior Data Manager, you will work with a variety of business functions across the organization and have the opportunity to work on a wide range of projects. This can provide a stimulating and challenging work environment, By helping clients implement effective data strategies, you can have a significant impact on their business operations, efficiency, and profitability.

Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone). Location: Remote- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

WSP is looking for a business analyst who specializes in data and reporting to join the HR team. At WSP, you ll find yourself challenged in more fascinating and far-reaching ways than ever before. You ll explore new and inspiring opportunities to make the most of your expertise, broaden your professional horizons and create exciting new possibilities for people, organisations and society in general. Your ability to swiftly understand reporting requirements and build structure to how data is collated, tracked and used for decision making will be key to success in the role. The role of the HR Business Analyst, Reporting and Analytics is designed to bring much needed support to the HR Reporting team. The focus being to ease the burden of data collection and ensure data collected can be used effectively for decision making. The role has the unique opportunity to build the new position and have a high impact for the HR team. ROLE REQUIREMENTS This is a role which will be fast paced and at times reactive, requiring collaboration with multiple stakeholders in a technical environment. Data interpretation and lead in data cleansing, report testing and troubleshooting Ability to analyse requirements and present alternative solutions as necessary Ability to present concepts to non-technical audiences in understandable terms Advanced skills in MS Office tools, with an expert level in Excel and Power BI The ability to working autonomously with a positive, can-do attitude with confidence to manage projects make connections and seek support when required. Working in collaboration with the wider HR Team to understand the changing needs of the business. ROLE PROFILE The successful candidate will be able to demonstrate the following: Relationship management skills: proven experience in building rapport, gaining credibility as part of a team, building trust, working in partnership with cross functional teams and to proactively deliver upon commitments and expectations. Comfortable with routinely shifting demands Ability to prioritize projects and execute and deliver key objectives in a timely manner under tight deadlines Meticulous attention to detail, self-motivated, and the ability to maintain confidentiality. Team player: the candidate should demonstrate a proven ability to work within real and virtual teams, create a team working environment and participate within a team. Analytical; able to analyse, interpret and communicate business, financial and people data to inform discussions and operational plans. Results driven; proactive, accountable, responsible for delivery with a strong client orientation. Resilient, self-motivated and able to remain calm under pressure when working to deadlines. Considerable experience recruiting for global multinational companies with prior management of a resourcing function Capable and comfortable operating independently with minimal supervision, able to work through new tasks. Strong attention to detail with accuracy. Ability to work in teams and collaborate virtually Proven success in multi-tasking, prioritizing between competing priorities and adapting to change. Strong ability to adapt and learn new skills, technologies and approaches Proven organizational skills with an ability to balance competing priorities DUTIES AND RESPONSIBILITIES: Build partnerships with multiple levels of WSP s team across the HR Data teams and ensure alignment and consistency of the reporting strategy. Monthly Headcount Reporting: collecting of data used to gain an accurate understanding of the total number of people in an organization Monthly People Dashboard: View, track and analyze various key performance indicators in both the short and long term Monthly HR analytics report: Provide insights on regional, country and BU specific stats such as recruitment metrics, employee performance data and turnover rates Build the HR Dashboard development, working on the development, validation testing and ensuring that business requirements are met Support with data collection automation process and utilizing solutions through Microsoft Power platforms and others. QUALIFICATIONS 4-7 years of experience working with HR systems, knowledge of Power BI would be a strong asset Bachelor s degree in human resources, computer science, mathematics or in any other relevant area

Collect and clean data, Power BI, Should have knowledge Tableau, or Excel, Collaborate with cross-functional teams including marketing, finance, operations, and IT, Maintain databases and ensure data integrity and security.

Design, develop, and implement data solutions using Microsoft Fabric , including data pipelines, data warehouses, and data marts. Develop data pipelines, data transformations, and data workflows using Microsoft Fabric.

Role :- Manage and analyze ERP system data to optimize business processes within the medical technology sector. • Collect, cleanse, and validate data within the ERP system to ensure accuracy and consistency. • Analyze data to generate Inventory management, Supply chain optimization, Operational efficiency • Develop dynamic dashboards using Odoo CRM application and advanced Excel tools. • Utilize data from multiple ERP modules including: o Human Resources (HR) o Sales o Inventory o Manufacturing o Customer Relationship Management (CRM) Detail-oriented and analytical Manufacturing Data Analyst with a strong background in transforming raw production data into actionable insights that drive operational efficiency and productivity. Skilled in collecting, cleaning, and analyzing large data sets from manufacturing systems such as ERP. Proficient in tools such as Microsoft Excel, Power BI, and SQL for building real-time dashboards, conducting root cause analysis, and supporting continuous improvement initiatives. Collaborating cross-functionally with engineering, operations, and quality teams to optimize processes and reduce waste. Committed to leveraging data to enhance decision-making and support lean manufacturing practices. Tools used: Power BI, Power query, Excel Functions, PowerPoint, Pivot Table. Designed and developed interactive reports and dashboards for monthly, quarterly, and yearly performance analysis • Created visualizations to identify best-selling products and areas for improvement. • Created data models and relationships, integrating data from Power BI, Excel, and other sources. • Designed Power BI, Excel dashboard for financial claims portfolio. • Displays total sales revenue over specific periods, allowing you to assess growth and trends. • Showing profit margins and comparisons across different products, regions, or timeframes. • The Highlights number of units sold, helping identify best-selling products and areas needing improvement. • Measures the average amount spent per transaction, giving insights into customer purchasing behavior. • Breaks down sales data by region, product, or salesperson, identifying top performers and market trends. • The objective of the effort is for Customer services management to get a better overview on their agents performance and get Other insights into ordering trends for different business units. • Maintain the Deployment Documents to client. Maintain the SDS and BRD Document for validation • Monitor system performance, troubleshoot issues, and ensure high availability and reliability of the Excel environment. Creating and maintaining reports. • Participating in every phase of SDLC from Requirement & Impact analysis. • Crafted Excel reports for global analysis & restaurant performance by using Power Query, Charts use in calculations. Tools used: Power BI, Power query, Excel Functions, PowerPoint, Pivot Table, SQL, Python, AW

Job Title: Intern (DS) Job Overview: As a Data Science Intern, you will collaborate with experienced data scientists to analyze temporal data and develop machine learning models. Your contributions will play a vital role in our data-driven decision-making processes. Role and Responsibilities: Assist in collecting, cleaning, and preprocessing time series data for analysis. Conduct exploratory data analysis to identify trends, patterns, and seasonality in datasets. Develop and implement machine learning models for time series forecasting. Collaborate with team members to evaluate model performance and refine algorithms. Document methodologies, findings, and insights for internal knowledge sharing. Create visualizations and reports to effectively communicate results to stakeholders. Stay updated on best practices and emerging trends in machine learning and time series analysis. Qualifications: Completed bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with machine learning concepts and techniques, particularly in time series analysis. Proficiency in programming languages such as Python or R, along with libraries like Pandas, NumPy. Understanding of statistical methods and time series forecasting techniques. Strong analytical and problem-solving skills with attention to detail. Good communication skills to present complex findings clearly and effective.

About the Role: We are seeking a skilled and detail-oriented Data Migration Specialist with hands-on experience in Alteryx and Snowflake. The ideal candidate will be responsible for analyzing existing Alteryx workflows, documenting the logic and data transformation steps and converting them into optimized, scalable SQL queries and processes in Snowflake. The ideal candidate should have solid SQL expertise, a strong understanding of data warehousing concepts. This role plays a critical part in our cloud modernization and data platform transformation initiatives. Key Responsibilities: Analyze and interpret complex Alteryx workflows to identify data sources, transformations, joins, filters, aggregations, and output steps. Document the logical flow of each Alteryx workflow, including inputs, business logic, and outputs. Translate Alteryx logic into equivalent SQL scripts optimized for Snowflake, ensuring accuracy and performance. Write advanced SQL queries , stored procedures, and use Snowflake-specific features like Streams, Tasks, Cloning, Time Travel , and Zero-Copy Cloning . Implement data ingestion strategies using Snowpipe , stages, and external tables. Optimize Snowflake performance through query tuning , partitioning, clustering, and caching strategies. Collaborate with data analysts, engineers, and stakeholders to validate transformed logic against expected results. Handle data cleansing, enrichment, aggregation, and business logic implementation within Snowflake. Suggest improvements and automation opportunities during migration. Conduct unit testing and support UAT (User Acceptance Testing) for migrated workflows. Maintain version control, documentation, and audit trail for all converted workflows. Required Skills: Bachelor s or master s degree in computer science, Information Technology, Data Science, or a related field. Must have aleast 4 years of hands-on experience in designing and developing scalable data solutions using the Snowflake Data Cloud platform Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions. 1+ years of experience with Alteryx Designer, including advanced workflow development and debugging. Strong proficiency in SQL, with 3+ years specifically working with Snowflake or other cloud data warehouses. Python programming experience focused on data engineering. Experience with data APIs , batch/stream processing. Solid understanding of data transformation logic like joins, unions, filters, formulas, aggregations, pivots, and transpositions. Experience in performance tuning and optimization of SQL queries in Snowflake. Familiarity with Snowflake features like CTEs, Window Functions, Tasks, Streams, Stages, and External Tables. Exposure to migration or modernization projects from ETL tools (like Alteryx/Informatica) to SQL-based cloud platforms. Strong documentation skills and attention to detail. Experience working in Agile/Scrum development environments. Good communication and collaboration skills.

Data Management Resource Job Type Fulltime Shift: 2 PM 11 PM Location: Hyderabad/Work from Office No of Positions: 2 Resource 1 : Salesforce expertise ( certified Admin at minimum). Experience with Data governance as a Data Steward. Experience with Data Cleansing efforts as the main POC for KDEs (key data elements). Experience with Data quality efforts including conducting data quality health checks and data quality analysis. Working with business SMEs and IT (for data updates). Strong understanding of data lineage and data dependencies. Experience working with DQ tools like Informatica, Purview would be an added advantage. Resource 2 : Experience with Data governance as a Data Steward. Experience with Data Cleansing efforts as the main POC for KDEs (key data elements). Experience with Data quality efforts including conducting data quality health checks and data quality analysis. Working with business SMEs and IT (for data updates). Strong understanding of data lineage and data dependencies. Experience working with DQ tools like Informatica, Purview would be an added advantage. Apply / Refer to Vertex I want to refer

SUMMARY The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties and skills required personnel so classified. WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of this job. TERMS OF EMPLOYMENT Salary and benefits shall be paid consistent with Arete salary and benefit policy. DECLARATION The Arete Incident Response Human Resources Department retains the sole right and discretion to make changes to this job description. EQUAL EMPLOYMENT OPPORTUNITY We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better. Arete Incident Response is an outstanding (and growing) company with a very dedicated, fun team. We offer competitive salaries, fully paid benefits including Medical/Dental, Life/Disability Insurance, 401(k) and the opportunity to work with some of the latest and greatest in the fast-growing cyber security industry. When you join Arete You ll be doing work that matters alongside other talented people, transforming the way people, businesses, and things connect with each other. Of course, we will offer you great pay and benefits, but we re about more than that. Arete is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Arete, where experience matters. Equal Employment Opportunity We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

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

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . The Item Center of Excellence has elevated the importance of Item Excellence as it has direct impact on Target s digital guest experience, operating expenses, and gross margin. As an Item Data Steward, you will be responsible for working across the enterprise to establish partnerships, best practices, and processes focused on driving digital growth and a strong guest experience. This will include, but not be limited to, stewarding overall item quality, managing data sources, resolving item issues, and documenting best practices and definitions for overall item excellence. As a Sr. Item Data Steward, you will take the lead as you: Manage cross-functional efforts focused on driving item data consistency, accessibility, reliability and discoverability. Develop processes to evaluate and govern overall item data quality to meet business needs across the Enterprise. Develop project plans for driving key objectives and priorities in support of the Item Center of Excellence strategy. Analyze item attribute usage by category and guest significance to understand the impact and importance of each item attribute within the business. Collaborate with internal teams to drive continuous improvement to operational and item excellence routines. Identify and lead key item accuracy, completeness, consistency, and uniqueness strategies (IQI) within the Item COE and across the enterprise. Work closely with the item certification team to implement processes to identify item discrepancies causing significant guest, compliance, or operational issues. Collaborate with product teams to inform and share item excellence data and best practices in support of key initiatives. Consult with taxonomy team to provide clarity on item structure with identified issues. Champion the development and implementation of product data and hierarchy standards within and across categories. Influence the coverage and breadth of item quality business processes in partnership with data quality analysts. Display strong cross-functional leadership as you build strong working relationships with Item Process, Item Taxonomy, Item Content, and Item Data Quality across all levels including leadership. Provide timely communication of item excellence performance to all levels of leadership within Item COE. Team and Partner Management: Reports to Director, Enterprise Item. No direct team member reports. Partners with multiple Item COE teams including Item Setup, Item Process, Data Quality, Taxonomy, Item Product, Item Data Acquisition, and Item Certification as required. Will be responsible for building and maintaining strong external partnerships (where applicable)product, Target+, AP, Legal and Compliance, site merchandising, merchandising Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you College degree or equivalent work experience Experience in project management, partnership management, program management, and/or data stewardship High level of analytical aptitude with experience measuring and tracking key metrics for continual improvement Strong verbal and written communication skills Strong organizational and prioritization skills with the ability to manage multiple projects concurrently in a fast-paced environment. Ability to train new concepts, processes, requirements, and expectations A partner-centric mindset; motivated by collaboration and cross-functional work PC experience (Excel, Word, PowerPoint)

The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed

Preparing active skus list for amazon, walmart, ebay Magento stores. Preparing buy box report for the skus across the marketplaces. Ensure across the board are the prices according to our policy implemented. Responsible updating the pricing rules in our dashboard making the process automated with our any discrepancy in the primary database. Understand reports and take necessary data manipulation actions. Compiling data and performing analytics. Pull data from various sources using Excel formulas and arrange it in the templates as per the system requirements to upload. Manual Data Processing which includes Data cleansing, scrubbing, and transformation using MS Excel. Troubleshoot issues relating to items that are not active, or listings that might be suppressed due to price Responsible on Amazon StoreBuy box stuck sku price change, Responsible on price alerts Responsible on non-automated skus Responsible on having complete price structure on all the skus on store Assessing data from a variety of sources to gain insights into pricing strategies and market trends. Analyzing competitor pricing and market trends to increase market share and profitability. Applying statistical modeling methods to determine the potential impact of pricing strategies on profitability. Developing dynamic pricing tools to effectively respond to changing market needs and trends. Preparing and presenting pricing analysis findings to executives, marketing teams, and sales staff. Proficiency in MS-excel Should be comfortable to work with with numbers/statistics Should have excellent data manipulation skills Bachelors Degree (preferably in maths,statistics ) 4-5 years of relevant experience Good with numbers

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions that align with the organization's goals and objectives. You will utilize your expertise in Databricks Unified Data Analytics Platform to create efficient and effective applications that enhance business processes and drive innovation. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Collaborate with stakeholders to gather requirements and understand business needs. Design and develop applications using Databricks Unified Data Analytics Platform. Configure and customize applications to meet specific business process requirements. Perform code reviews and ensure adherence to coding standards. Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Good To Have Skills: Experience with Microsoft Azure Data Services, Microsoft Azure Analytics Services. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Chennai office. A Full Time Education is required. Qualification 15 years full time education

About the role As a Marketing Data Specialist , you will work alongside the Marketing Data Lead in managing and optimizing lead and contact creation and management processes with a focus on data quality, enrichment, standardization, and supporting ongoing data-related initiatives. What you’ll do Assist with data enrichment, acquisition, standardization, and segmentation efforts Aid in the management of lead and contact creation and routing workflows, ensuring data flows smoothly to and from CRM (Salesforce) and other systems using tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Ensure lead creation and conversion processes across Sales and Marketing are optimized and adhere to internal and external data health and compliance requirements Support Marketing Data Lead in implementing data governance policies and practices Oversee intake, perform related actions, and ensure positive outcomes of lead generation program s with goal to automate process where appropriate Collaborate with marketing , sales , and customer success teams to support data-driven initiatives and reporting What you’ll bring 5 + years of experience in data management, marketing operations, sales operations , or customer success operations Familiarity with CRM systems (e.g., Salesforce) and data management tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Has a high level of autonomy in day-to-day operations Strong attention to detail with an understanding of global data governance principles and best practices Ability to work independently and collaboratively with a global team Analytical mindset adept at problem finding and problem solving Able to work flexible hours as required by business priorities Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Description Summary The Sr Director - Data Architecture will manage a team of Data Architects and partner with Product Managers to define the data architecture and strategy of the GE HealthCare One Data Platform, and identify product advancement & enhancement opportunities for critical enterprise use cases. Job Description Roles and Responsibilities The Sr Director - Data Architecture is a critical leadership role responsible for shaping and executing the organization s enterprise data architecture strategy. This individual will lead a team of data architects, driving the evolution of our enterprise data landscape and support business objectives and enabling data-driven decision-making. The ideal candidate should possess a deep understanding of data architecture principles, domain-driven design, and emerging technologies, coupled with exceptional leadership and communication skills. (S)He will be a champion for data quality, governance, and security, and a key influencer in shaping the future of the enterprise data strategy at GE HealthCare. Strategic Data Architecture Leadership: Establish the overall vision for the team, d efine and champion the overall data architecture strategy, aligning it directly with business objectives and growth plans. Develop and maintain a multi-year data architecture roadmap, incorporating emerging technologies and industry best practices. Lead the evolution of the organization s data landscape, ensuring scalability, reliability, security, and performance. Drive the transition towards a data mesh architecture, defining principles, patterns, and governance frameworks to enable decentralized data ownership and domain autonomy. Data Architecture Design & Standards: Define and evangelize standard data patterns, reference architectures, and architectural guidelines for various data domains (viz., Finance, Supply Chain, Services, Manufacturing, Enterprise Operations, etc.). Ensure architectural designs are aligned with domain-driven design (DDD) principles, promoting data ownership and accountability within business domains. Oversee the design and implementation of data models, data pipelines, and data integration solutions. Evaluate and recommend data technologies and platforms (e.g., data warehouses, data lakes, streaming platforms, graph databases, cloud services). Data Mesh Implementation: Define and enforce data architecture standards related to data privacy, access control, data lifecycle management, and operational models for a data mesh architecture. Guide domain teams in adopting data mesh principles and building data products. Establish clear ownership and accountability for data assets within each domain. Develop and enforce data contracts and APIs to ensure interoperability between data products. Team Leadership & Development: Attract, recruit, and retain top data architecture talent, building a high-performing team. Mentor and develop data architects, fostering a culture of innovation, collaboration, and continuous learning. Lead a large team of data architects, providing technical guidance and oversight to the team. Conduct performance reviews and provide constructive feedback. Collaboration & Communication: Partner closely with business stakeholders, data scientists, data engineers, and other technology leaders to understand data needs and translate them into architectural solutions. Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Influence and advocate for data architecture best practices across the organization. Collaborate with the Data Governance team to ensure data quality, compliance, and security. Stay abreast of emerging data technologies and trends (e.g., AI/ML, blockchain, data fabrics) and evaluate their potential impact on the organization. Education Qualification: Bachelors Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 15+ years of relevant experience. Desired Characteristics: Passionate about driving change and influence across enterprise Demonstrated ability to lead in a highly matrixed environment Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company Ability to acquire any specialized domain knowledge required to be more effective in all required activities Willingness to learn and develop critical data science skills (e.g. statistical analyses, advanced data visualization, data mining, and data cleansing/transformation) Competency in major analytics frameworks and programming environments like Data Mesh and Data Fabric Technical Expertise: Understands technical and business discussions relative to future architecture direction aligning with business goals. Understands concepts of setting and driving architecture direction. Familiar with elements of gathering architecture requirements. Understands architecture standards concepts to apply to project work. Business Acumen: Understand key cross-functional concepts that impact the organization; is aware of business priorities and organizational dynamics. Personal Attributes: Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice. Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate. Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives. Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Relocation Assistance Provided: Yes

TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you re working in our four global Home Offices, Distribution Centers or Retail Stores TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family a Fortune 100 company and the world s leading off-price retailer. Job Description: Data Insights & Analysis: Collaborate with the analytics team to extract actionable insights from TJXs expansive data sources, addressing strategic inquiries. Communicate findings effectively to business partners, facilitating understanding and meaningful data-driven decision-sharing. Support ad-hoc analysis, custom reporting, and special projects for business partners, including industry benchmarking. Support the data Analytics managers with data cleansing and preparation. Support the category management team in category planning process where data/insights are required. Supplier Evaluation & RFx Support: Contribute to creating and executing various tender events from a pricing & Bid perspective. Analyze complex tender offers in Coupa/GEP and other sourcing platforms where required. Building scenarios to help demonstrate financial impact based on commercial decisions. Reporting & Metrics: Gather, Create, and provide tailored reports to support GBS operations and strategic goals. Create, maintain, and update performance monitoring metrics and dashboards. Decision Making: Lead sourcing initiatives and determine event structures and criteria. Collaborate with global partners and project leads on various projects. Scope of Responsibility (i.e. Financial impact) Work closely with Data Analytics Managers to support Global Sourcing & Procurement, Workplace Services and Global Continuous Improvement on various size projects. Supports GS&P with complex analysis to identify savings opportunities across USD $8B non-merchandise spend. Skills/Knowledge Experience in Coupa Sourcing Optimization is Required Proficient/Advanced levels in Microsoft Office suite, Excel, Access, Power BI, Power Query Strong Mathematic Acumen for quantitative analysis Expertise in database querying and design. Skilled problem solver Adaptable to fast-paced environments. Interpersonal and relationship-building skills. Education: Bachelor s or Master s degree in Social Sciences, Finance or Business Management is advantageous, but not required. Minimum Experience: 4-5 years of data analytics experience required. Expertise in current analytics best practices, tools, and applications. Additional Areas of Experience Preferred: Data Modelling In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individuals status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: Salarpuria Sattva Knowledge City, Inorbit Road Location: APAC Home Office Hyderabad IN

Position: Sales Ops Analyst Organization: WW Sales Operations Location: Noida, India Direct Manager: Senior Manager Sales Ops Description The Sales Ops Analyst functions as an integral part of the sales operations team. The candidate should know how to manage compensation processes for WW Sales Organization Reps, manage compensation rules in the compensation tool, report around attainment, set quotas for sales reps, and ensure that compensation and revenue actuals are followed and completed within the required timelines provided. The candidate develops, implements, and utilizes processes and tools to enable the sales lifecycle. He/ She should how to analyze and report order pipeline, bookings, forecasting, sales productivity, and goal attainment. We seek energetic, dynamic, engaging individuals who are passionate about working with data, complex rules, sales performance metrics, etc. This position will report to the Manager Sales Operations and will be responsible for interacting regularly with WW Sales & Sales Operations teams, etc. Primary Responsibilities Lead multiple concurrent projects and initiate, and drive projects to completion with minimal guidance Understanding process bottlenecks and inconsistencies to improve the sales team s performance Engage and work with aligned operations teams and lines of business to more effectively achieve data needs and analysis results Develop and maintain sales analytics reports and dashboards to provide actionable insights that support data-driven decision-making for the sales and executive leadership teams Strengthen sales and operational efficiency by applying innovative methods, streamlining processes and systems, and exchanging standard practices. Augment data quality assurance processes by putting in place required QA activities to run sanity, correctness, and quality of data to ensure trust among end consumers/stakeholders and accurate payouts to reps Apply data cleansing techniques to improve the quality and accuracy of contacts and accounts databases and develop processes and methods for acquiring net new names to our database. Skills: 4-7 years of work experience Bachelor s Degree (MBA preferred) Project Management experience in handling complex projects with multiple stakeholders Experience working in sales operations Expert in Microsoft Excel (creation of multi-variable models; fuzzy logic matching, use of v-lookups, h-lookups, sum-if, pivots, etc.) and PowerPoint (linking PPT to Excel, embedded charts, etc.) Expert in creating Excel VBA Macros and automating many excel based reports Experience using tools & platforms such as SFDC, Power BI, Tableau Working knowledge of MS Access & SQL Highly organized, and pays attention to details Ability to work under minimal supervision, a strong team player Strong Analytical skills Strong project management skills Ability to work under tight schedules & have the flexibility to work under different time zones at times .

Amazon s Last Mile Analytics and Quality (LMAQ) team is seeking an experienced program manager to lead program(s) focused on transporter safety in the Amazon Geospatial domain. In this vertical, we drive initiatives by partnering with various teams in Last Mile to improve Amazon map data and to identify and mitigate risk factors concerning on the road driver safety using geospatial data. An ideal candidate for this role has solid program management skills and is eager to develop them further. S/he has the ability to implement and maintain processes and mechanisms to effectively support program execution. S/he should be comfortable with data analysis, assisting in process improvements, and helping to standardize procedures under guidance. The candidate should be able to identify issues within current systems and contribute to resolving them. This job requires good communication and interpersonal skills, with the ability to work collaboratively in a team environment while also managing tasks independently. The successful candidate will be capable of addressing logistical challenges, show initiative in problem-solving, and demonstrate a strong commitment to completing projects and delivering results. The ideal L4 Program Manager will be detail-oriented, organized, and able to juggle multiple priorities effectively. S/he should be proficient in using project management tools and be ready to learn and adapt to new methodologies and technologies in the world of geospatial data. Responsibilities include, but are not limited to: - Own the Program, define and achieve KPIs; Drive performance improvement initiatives. - Develop and monitor program metrics to identify potential issues in last mile deliveries. - Identify patterns of defects that will help us build initiatives to reduce defects at scale. - Ability to pull data and perform deep-dives and root-cause analysis as needed. - Lead initiatives to identify and eliminate root causes of defects in order to reduce defects and improve the delivery experience for Amazon customers. - Very good communication, both verbal and written to regularly provide business updates during weekly/monthly/quarterly reviews. - Communicate with stakeholders to share regular updates, resolve blockers and deliver programs/initiatives on time. - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met. - Must be able to systematically escalate problems to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. About the team The Last Mile Analytics & Quality (LMAQ) team is part of the Last Mile Tech team and works on improving Geospatial data, route quality, and support the driver lifecycle programs. We run programs to identify and reduce defects through manual audits, and leverage data and anecdotes to identify opportunities and closely collaborate with Tech, Science and Product teams to improve our products at scale. - 2+ years of program or project management experience - Bachelors degree or equivalent - Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) - Experience with SQL - Experience in requirement gathering and ability to write clear and detailed requirement document

Cantor Fitzgerald is looking for Analyst 1 - Document Imaging 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.