12 Data Cleanup Jobs

The business/systems analysis specialist at Amdocs has a comprehensive understanding of customers" business environments, operations, regulatory frameworks, and industry processes. You will leverage this knowledge to advise on, capture, and define business and system requirements that align with customer needs and product capabilities. Your responsibilities will include: - ETL Work Description: Designing and building extracts using Informatica from various sources to create a unified input file for migration, testing support across all stages, migration support for loading data into SFDC, data cleanup using extracts, and B2B support. - SFDC Work Description: Designing extracts and loads for Billing Accounts, Assets, and Contacts, mapping legacy SFDC products to new Core Commerce products, executing migrations, supporting testing and integration, analyzing errors, and conducting B2B analysis within SFDC-Cloudsense. The ideal candidate will have: - A degree in Computer Science or Industrial Engineering & Management - Information System. - 10 years of experience in the telecom industry and/or IT, with at least 5 years in business/system analysis. - Customer-facing experience, proficiency in E2E Business processes, and partner/client management skills. In this role, you will: - Utilize customer insights to influence solution design. - Collaborate with a global team for personal and professional development. - Work in a multinational environment with a market leader. - Enjoy a range of benefits including health insurance, paid time off, and parental leave. Amdocs is an equal opportunity employer dedicated to building a diverse and inclusive workforce.,

The Specification Data & System Administration (SDSA) Assistant Scientist's role focuses on administering data input into the Specification System (on SAP PLM), optimizing Business Processes, delivering Training on SAP PLM, and supporting Product Developers with SAP PLM troubleshooting. Responsibilities include supporting Reporting Lead/Sr. Managers/Managers in delivering information needs articulated by Business Partners, providing consultations for R&Ds Foods Snacks formula specification and documentation applications, troubleshooting system, product, and process issues, collaborating with IT on changes from key customers, coordinating special project requests, providing training on R&Ds Foods Applications and specification standards, leading User Acceptance Testing for R&Ds Foods SAP Applications, performing system testing for upgrades and enhancements, managing user access and security, maintaining data for SAP systems, serving as a Subject Matter Expert for R&Ds formula standards, providing product development and project support, creating workflows for product launches, revising control documents/templates, and creating monthly metric reports. The role also involves querying the Specification Database, creating monthly reports for customer awareness on specification status, working on special projects with cross-functional groups, supporting strategy delivery efforts, establishing Specifications sub-team within the service center, supporting simplification and digitalization efforts, and collaborating with global R&D stakeholders. Qualifications include a Bachelor's degree with related experience, training/coaching/facilitation skills, significant experience with IT systems (especially SAP PLM module), proficiency in Microsoft Office Suite, and English communication skills. Essential competencies required are business maturity, time management, problem-solving, communication skills, ability to work independently and in a team, and appreciation for diverse cultures. Desired competencies include industry experience, project management experience, system/software implementation experience, proficiency in Change Management, Visual Basic, SQL, collaboration skills, knowledge of Azure DevOps, and Agile SAFe Methodology.,

You will be responsible for architecting data warehousing and business intelligence solutions to address cross-functional business challenges. This will involve interacting with business stakeholders to gather requirements and deliver comprehensive Data Engineering, Data Warehousing, and analytics solutions. Additionally, you will collaborate with other technology teams to extract, transform, and load data from diverse sources. You should have a minimum of 5-8 years of end-to-end Data Engineering Development experience, preferably across industries such as Retail, FMCG, Manufacturing, Finance, Oil & Gas. Experience in functional domains like Sales, Procurement, Cost Control, Business Development, and Finance is desirable. You are expected to have 3 to 10 years of experience in data engineering projects using Azure or AWS services, with hands-on expertise in data transformation, processing, and migration using various tools such as Azure Data Lake Storage, Azure Data Factory, Databricks, AWS Glue, Redshift, and Athena. Familiarity with MS Fabric and its components will be advantageous, along with experience in working with different source/target systems like Oracle Database, SQL Server Database, Azure Data Lake Storage, ERP, CRM, and SCM systems. Proficiency in reading data from sources via APIs/Web Services and utilizing APIs to write data to target systems is essential. You should also have experience in Data Cleanup, Data Cleansing, and optimization tasks, including working with non-structured data sets in Azure. Knowledge of analytics tools like Power BI and Azure Analysis Service, as well as exposure to private and public cloud architectures, will be beneficial. Excellent written and verbal communication skills are crucial for this role. Ideally, you hold a degree in M.Tech / B.E. / B.Tech (Computer Science, Information systems, IT) / MCA / MCS. Key requirements include expertise in MS Azure Data Factory, Python, PySpark Coding, Synapse Analytics, Azure Function Apps, Azure Databricks, AWS Glue, Athena, Redshift, and Databricks Pysark. Exposure to integration with various applications/systems like ERP, CRM, SCM, WebApp using APIs, Cloud, On-premise systems, DBs, and file systems is expected. The role necessitates a minimum of 3 Full Cycle Data Engineering Implementations (5-10 years of experience) with a focus on building data warehouses and implementing data models. Exposure to the consulting industry is mandatory, along with strong verbal and written communication skills. Your primary skills should encompass Data Engineering Development, Cloud Engineering with Azure or AWS, Data Warehousing & BI Solutions Architecture, Programming (Python PySpark), Data Integration across various systems, Consulting experience, ETL and Data Transformation, and knowledge in Cloud Architecture. Additionally, familiarity with MS Fabric, handling non-structured data, Data Cleanup and Optimization, API/Web Services, Data Visualization, and industry and functional knowledge will be advantageous. The compensation package ranges from INR 12-28 lpa, subject to the candidate's performance and experience level.,

As a Data Entry Operator at our company, your primary responsibility will be inputting, updating, and verifying data in our database. You will play a crucial role in ensuring data integrity and accuracy through regular quality checks. Additionally, you will be tasked with managing and organizing electronic files and documents, as well as assisting in data cleanup and maintenance projects as needed. Collaboration with team members to enhance data management processes will also be a key aspect of your role. The ideal candidate for this position should possess a minimum qualification of 12th grade or Graduation or relevant educational background. The salary offered for this position ranges from 7,000 to 10,000 per month. If you believe you meet the qualifications and are interested in this opportunity, please share your CV with us at hr@skinhealsolutions.com. We are conducting walk-ins for this position from 11 am to 5 pm. The work location is at Plot No 52, N4, F-2, opp. Pundlik nagar Water Tank, Cidco, Aurangabad, Maharashtra 431003. This is a full-time job with day shift schedule and requires the candidate to work in person.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. **What you'll do:** We are looking for experienced Knowledge Graph developers who have the following set of technical skillsets and experience. Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of the project lifecycle to solve business problems across one or more client engagements. Apply appropriate development methodologies (e.g., agile, waterfall) and best practices (e.g., mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. Bring transparency in driving assigned tasks to completion and report accurate status. Bring a Consulting mindset in problem-solving, innovation by leveraging technical and business knowledge/expertise and collaborate across other teams. Assist senior team members, delivery leads in project management responsibilities. Build complex solutions using Programming languages, ETL service platform, etc. **What you'll bring:** - Bachelor's or master's degree in computer science, Engineering, or a related field. - 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. - 3+ years of experience in RDF ontologies, Data modeling & ontology development. - Strong expertise in python, pyspark, SQL. - Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. - Project management and task planning experience, ensuring smooth execution of deliverables and timelines. - Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. - Experience with automation testing. - Performance Optimization: Knowledge of techniques to optimize knowledge graph operations like data inserts. - Data Modeling: Proficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. - Motivation and willingness to learn new tools and technologies as per the team's requirements. **Additional Skills:** - Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations. - Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. - Experience in manufacturing data is a plus. - Capability to simplify complex concepts into easily understandable frameworks and presentations. - Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects. - Travel to other offices as required to collaborate with clients and internal project teams. **Perks & Benefits:** ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. **Travel:** Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. **Considering applying ** At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. **To Complete Your Application:** Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

What You'll Do This position will be responsible for maintaining product information within Eaton's Product Data Hub, with a focus on attaining a high degree of product data quality, consistency and completeness for over 6 million products globally. The position is responsible for cleansing and maintaining product attributes across the Electrical group. Collect and consolidate demand data from customers in different formats and prepare data for upload into demand planning process. Collaborate with Demand Planning and Commercial team to assist in monthly demand planning process (including reporting of output) Collaborate with cross-functional teams to ensure data accuracy and integrity. Collaborate with Product Data management team to support the task related to Data cleanup, Data validation, Data Maintenance in PDH tool. Ensure accuracy, completeness and health requirements for product data globally. Responsibility for collecting, organizing, creating, documenting, and entering detailed products information. Excellent analytical and problem-solving skills. Ability to work Independently and as a team. Flexible attitude to work with and the willingness to learn new skills when required. Collaborate with Business Development team to execute and distribute regular sales and marketing reports. Strong understanding of Demantra functionalities and reporting tools. Develop and generate reports using Demantra's reporting tools. Skills And Qualification Diploma/ BE - Electronics/Electrical 1-3 years of experience Electronics Products and Componets, Product data management Good communication, Team player

As a Data Management Executive & Coordinator at our Events Company, you will be responsible for managing participant data, inventory, assets, and general data across various platforms. Your key duties will include: Managing Participant Data: - Overseeing the participant database, including approved and unapproved applicants. - Conducting continuous data cleanup and enrichment for data quality maintenance. - Refining and managing the participant application, selection, and invitation process. - Handling CRM migration, testing, setup, and staff training. - Ensuring consistency in CRM backend systems across events. - Analyzing participant sales and feedback data to derive actionable insights and prepare reports. Inventory & Asset Management: - Building and managing a system to track warehouse inventory. - Maintaining logs of items used in events, including tracking conditions and return status. - Designing a replicable structure for inventory allocation, usage, and recovery. General Data Management Responsibilities: - Updating and maintaining data across multiple Excel sheets with high accuracy. - Verifying product details, pricing, stock status, and supplier information. - Collaborating with teams to ensure data is always up to date. - Identifying and resolving data inconsistencies or gaps proactively. Digital File & Folder Management: - Organizing and standardizing digital folders across various platforms. - Creating structured folder naming conventions for ease of navigation and sharing. Data Organization & Storage: - Structuring and organizing data logically for easy access. - Assisting in implementing and managing data storage systems and databases. Data Security & Permissions: - Managing data access rights and ensuring data privacy and confidentiality. Requirements: - Preferred Bachelor's degree with a preference for BComm. - Highly organized, detail-oriented, and self-driven individual. - Comfortable working with large datasets and digital platforms. - Strong skills in Excel, Google Workspace, and file management. - Ability to balance operational efficiency with data accuracy and integrity. This is a full-time position with benefits including paid sick time and paid time off. The work schedule is during the day shift and requires in-person presence at the work location.,

As a key member of our team, you will be responsible for maintaining and updating HR data to ensure accuracy and completeness. This includes conducting regular data check-ups, collaborating with local HR teams, and ensuring the quality of HR data. You will also be tasked with updating the organizational structure in the HR system, providing support to HR teams in various countries, handling and resolving HR central tickets, and preparing basic HR reports as needed. To excel in this role, you should have a B2 level of English proficiency, with fluency in another language considered an advantage. You should also possess the ability to quickly grasp HR information systems (HRIS) and understand the interdependencies of HR data. Basic knowledge of Excel is required to effectively carry out your responsibilities. In addition to the exciting responsibilities outlined above, you will have the opportunity to participate in our buddy program, company events, and internal career development initiatives. Our comprehensive onboarding program will ensure you are equipped with the necessary tools and knowledge to succeed in your role. Join us at Hemmersbach, a global leader in providing IT infrastructure services across 190 countries through our 50 subsidiaries. We work exclusively with the top companies in the IT industry, going above and beyond to not only satisfy our customers but also contribute to making the world a better place. A significant portion of our profits is dedicated to our Direct Actions Hemmersbach Rhino Force and Hemmersbach Kids Family, reflecting our commitment to social responsibility. Become part of our team and be a part of our mission to be The Social Purpose IT Company.,

Work with the founder and core team to build and optimize quant trading strategies. Use Python and ML to analyze market data. No prior finance experience needed—training in options and execution provided. Just bring curiosity and coding skills!

Responsibilities: * Prepare daily,weekly & monthly reports using Excel * Ensure data accuracy through cleanup processes * Develop dashboards with Excel PowerPoint * Collaborate on MIS initiatives within the team Provident fund

Collaborate with client teams to understand data and business problem statements Identify and define appropriate analysis approaches, adjusting as needed during the project Apply strong business acumen to connect data insights with overall business objectives Work with large, unstructured data sets to generate actionable insights Perform data cleanup and validation to ensure data quality Execute data analysis and interpret results to provide meaningful recommendations Prepare and present outputs, including reports and presentations using Excel and PowerPoint Utilize advanced Excel skills, including VBA, for data manipulation and automation

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems