300 Data Cleansing Jobs - Page 10

Summary Business Data Migration expert for Order to Cash on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Customer master, Product Pricing, Contracts. Acts as the functional SPoC for data migration on the assigned objects for a given release. Job Purpose Business Data Migration expert for Order to Cash on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Customer master, Product Pricing, Contracts. Acts as the functional SPoC for data migration on the assigned objects for a given release. Major Accountabilities Perform or ensure data cleansing tasks are completed on time Complete data collection for manual/construction objects on time Work together with IT counterparts to prepare value mappings Create and maintain master lists if applicable for assigned objects Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects Work together with IT team and country Business Data Owners to identify objects in scope for country Ensure data readiness verify quality throughout data journey for assigned data objects Verify that data is fit for purpose (incl. alignment with internal/external stakeholders) Approve upload files before and after load for all assigned data objects (including formal approval) Perform manual (type-in) data loads into target clients where applicable for assigned objects Perform dual maintenance Execution and approval of data verification scripts Act as SPoC for assigned objects as part of defect management process during Hypercare Key Performance Indicators / Measures Of Success Data Cleansing completion for relevant data objects on project(s) within the region based on given data migration schedule Data Loads completion for relevant data objects on project(s) within the region based on given data migration schedule All major issues related to data quality for relevant data objects resolved based on given project(s) schedule IDEAL BACKGROUND Education Qualifications Bachelor or Master degree preferred Languages Fluent English (additional languages preferred) Experiences 5+ years in country global roles (ERP project implementation experience preferred) Competencies Good communication and negotiation skills, good stakeholder management Strategic and hands on way of working (running meetings, tracking progress, managing issues) Strong Excel Skills Technical/Functional Skills Knowledge Strong knowledge about the business processes in the area of Order to Cash, Contract management, Order to Cash, Pricing and good visibility to Customer master and sales view of Material master data Data Migration experience preferred

Summary As the Business Data Migration expert - Manufacturing, you will perform business related tasks of data migration activities on the assigned data objects in Manufacturing area (Material master, Inventory, batches, BOM, routings, plant maintenance in SAP), in line with global/deployment/country requirements and timelines. You will be part of deployment (above-country) data migration team, work closely with functional points of contact for data migration, business users from countries and IT counterparts. This position offers an opportunity to participate on Data Migration activities including (Technical Research Development) business. About the Role Business Data Migration Expert - Manufacturing About the Role: As the Business Data Migration expert - Manufacturing, you will perform business related tasks of data migration activities on the assigned data objects in Manufacturing area (Material master, Inventory, batches, BOM, routings, plant maintenance in SAP), in line with global/deployment/country requirements and timelines. You will be part of deployment (above-country) data migration team, work closely with functional points of contact for data migration, business users from countries and IT counterparts. This position offers an opportunity to participate on Data Migration activities including (Technical Research Development) business. Key Responsibilities: Your responsibilities include, but are not limited to: Ensure Manufacturing data cleansing tasks are completed on time Complete data collection for manual/construction objects on time Work together with IT counterparts to prepare value mappings Create and maintain master lists if applicable for assigned objects Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects. Ensure Manufacturing data readiness verify quality throughout data journey for assigned data objects Verify that data is fit for purpose (incl. alignment with internal/external stakeholders) Perform manual (type-in) data loads into target clients where applicable for assigned objects Execution and approval of data verification scripts Essential Requirements: Understand business processes in Manufacturing area (materials, inventory, batches, BOM, routings, plant maintenance in SAP) Experience with using ERP system in Manufacturing area Good communication and negotiation skills, stakeholder management. 5+ years in country global roles. Fluent English (additional languages preferred) Strategic and hands on way of working (running meetings, tracking progress, managing issues) Strong Excel Skills. ERP project implementation experience preferred Data Migration experience preferred Desirable Requirements: Graduate / Post Graduate in Supply Chain/Operations/Pharmacy/Life Sciences / Engineering / Commerce / Economics.

Work Type: Hybrid Job Type: Full Time Job Description: Experience in designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform, using Agentforce capabilities to create automated customer interactions across various channels, often requiring strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Core Responsibilities: Architecting and building data integration solutions using Salesforce Data Cloud to unify customer data from diverse sources. Implementing data cleansing, matching, and enrichment processes to improve data quality. Designing and managing data pipelines for efficient data ingestion, transformation, and loading. Collaborating with cross-functional teams to understand business requirements and translate them into data solutions Monitoring data quality, identifying discrepancies, and taking corrective actions Establishing and enforcing data governance policies to maintain data consistency and compliance Minimum Skills Required: Technical Skills: Expertise in Salesforce Data Cloud features like data matching, data cleansing, data enrichment, and data quality rules Understanding of data modeling concepts and ability to design data models within Salesforce Data Cloud Proficiency in using Salesforce Data Cloud APIs and tools to integrate data from various sources Knowledge of data warehousing concepts and data pipeline development Relevant Experience: Implementing Salesforce Data Cloud for customer 360 initiatives, creating a unified customer view across channels Designing and developing data integration solutions to connect disparate data sources Managing data quality issues, identifying and resolving data inconsistencies Collaborating with business stakeholders to define data requirements and KPIs Agentforce Design and Development: Building and customizing Agentforce conversational flows, defining dialogue trees, and creating intent-based interactions to handle customer inquiries effectively. NLP Integration: Training and refining natural language processing models to ensure accurate understanding of customer queries and provide relevant responses. Data Analysis and Optimization: Monitoring Agentforce performance, analyzing customer interaction data to identify areas for improvement and refine bot responses. Salesforce Integration: Seamlessly integrating Agentforce with other Salesforce components like CRM data, sales pipelines, and customer support systems to provide a unified customer experience. Testing and Deployment: Thoroughly testing Agentforce interactions to ensure quality and functionality before deployment across various channels (webchat, SMS, etc.). Skills to highlight on your resume: Salesforce Platform: Expertise in Salesforce administration, development (Apex, Visualforce), and understanding of Salesforce architecture. Agentforce Specifics: Deep knowledge of Agentforce features, capabilities, and configuration options. NLP Techniques: Familiarity with natural language processing concepts like intent classification, entity extraction, and dialogue management. Conversational Design: Proven ability to design engaging and effective conversational flows for virtual agents. Data Analysis: Skills in analyzing customer interaction data to identify patterns and optimize Agentforce performance. Design, develop, and deploy solutions on Salesforce Data Cloud platform. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Build custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies. Develop and optimize data models to support business processes and reporting needs. Implement data governance and security best practices to ensure data integrity and compliance. Perform troubleshooting, debugging, and performance tuning

Data Quality : Define and Measure Data Quality Metrics: Establish metrics for accuracy, completeness, validity, consistency, timeliness, and reliability. Continuous Monitoring and Remediation: Regularly monitor data quality, conduct audits, perform root cause analysis for recurring data issues, and implement preventive measures and remediation plans. Data Profiling: Develop and maintain comprehensive data profiles to understand data characteristics. Data Validation: Create and implement validation rules to ensure that incoming data conforms to expected formats and values. Data Cleansing: Design and execute data cleansing processes to correct errors and inconsistencies, enhancing overall data quality and reliability. Data Governance : Establish Governance Framework: Implement and enforce data governance practices to ensure compliance with regulatory requirements and corporate policies, ensuring data is managed according to best practices. Metadata Management: Develop and maintain a comprehensive metadata repository to document data definitions, lineage, and usage, ensuring it is kept up to date and accessible to end users. Understand User Needs: Collaborate with business users to identify data needs, pain points, and requirements, ensuring the data is fit for its intended use. Identify Improvement Areas: Continuously seek opportunities for process improvement in data governance and quality management. User Roles and Access Requirements: Understand user roles and access requirements for systems, so that similar protection can be implemented into the analytical solutions. Row-Level Security: Work with the data & analytics team to establish row-level security for analytical solutions, ensuring data is accessible only to authorised users. Continuous Improvement: Establish Naming Conventions: Define business friendly table names and column names, along with synonyms, to ensure data easily accessible using AI. Create Synonyms: Implement synonyms to simplify data access and enhance data readability. Establish KPIs for data governance and quality efforts and create regular reports for stakeholders to track progress and demonstrate the value of data governance initiatives. Continuous Improvement: Establish a feedback loop where users can report data quality issues and suggest improvements.

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Mandatory Skills: Project Management. Experience5-8 Years.

We are hiring Informatica CDQ Professionals with 4 to 8 years of experience for a contract position (6 months to 1 year). Type: Contract (6 months to 1 year) Start Date: Immediate joiners preferred Skills Required: Strong hands-on experience with Informatica Cloud Data Quality (CDQ) Expertise in data profiling, data cleansing, and implementing data quality rules Solid knowledge of data governance and data management Strong troubleshooting and performance optimization skills To Apply: Please share your updated resume along with: Current CTC Expected CTC Current Location Email to: navaneetha@suzva.com

Proven expert at writing SQL code with at least 5+ years of experience. DW BI- Data Warehouse with BI tools. ETL, SSIS, SQL, AWS Responsibilities: Design, develop, and maintain data warehouse solutions to support business intelligence and analytics requirements. Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse. Develop and optimize data models, schemas, and databases to ensure efficient data storage and retrieval. Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into technical specifications. Ensure data quality, integrity, and consistency by implementing data validation, cleansing, and transformation processes. Monitor and maintain the performance, availability, and security of the data warehouse. Develop and maintain documentation for data warehouse architectures, processes, and procedures. Stay current with industry trends, best practices, and emerging technologies in data warehousing and business intelligence. Troubleshoot and resolve issues related to data warehouse performance, data integration, and data quality. Provide support and training to end-users on data warehouse tools and applications.

Job Description: MUST have skills Microsoft Azure BI Stack (ADF, Azure Databricks, PySpark, ADLS) SQL Python Understanding of Big Data, ETL concepts Experience in Azure Analytics and DevOps Experience in building data pipelines using Python, PySpark Spark SQL Responsibilities Play the role of senior developer for the assigned projects Provide technology consulting to customers and internal project teams Responsible for create/maintain scalable ETL pipeline with Azure data factory Responsible to ingest data from various sources. Create complex ETL work flows using ADF, ADB, ADL and Datawarehouse Responsible for creating Databricks notebooks using PySpark for performing data cleansing, transformation and processing Deployment of code using CI/CD pipelines General Skills At least 3-5 years relevant experience as Data Engineer in Azure Stack Strong communication skills, ability to work directly with client and to lead junior team members Problem solving and analytical skills Ability to explore emerging technologies Eagerness to learn and ability to adapt to changes Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps Nice to have skills Azure DP 203 Certified PowerBI Apache Airflow Automation scripts Log Analytics, KQL Understanding of DWH concepts Good Knowledge of database modelling and database performance tuning. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Department : Business Intelligence & Analytics Job Summary: We are looking for a Tableau Developer with 3 to 5 years of hands-on experience in designing interactive dashboards and BI solutions. This role requires strong Tableau expertise, solid SQL skills, and a good understanding of integrating Tableau with enterprise data platforms like Cloudera Data Platform (CDP 7.1). You will collaborate with architects, engineers, and business analysts to deliver scalable, high-performance BI solutions. Responsibilities: Design, develop, and maintain interactive dashboards and reports using Tableau Desktop. Follow and help enforce best practices in dashboard design, folder structure, naming conventions, and visualization standards. Collaborate with senior BI and data engineering teams to optimize Tableau's connectivity with Cloudera Data Platform (CDP 7.1) and other enterprise data sources. Implement filters, parameters, extracts, and Hyper Extracts to support performance-efficient reporting. Support query performance tuning, incremental extract strategies, and dashboard performance improvements. Maintain Tableau Server environments by publishing dashboards, managing permissions, and monitoring usage analytics. Participate in code reviews, documentation, and internal knowledge-sharing initiatives. Align dashboards with optimized data models and collaborate closely with backend data engineering teams. Stay current with Tableau feature updates and apply them to enhance dashboard functionality and user experience. Required Skills & Experience: Tableau Expertise: Tableau Desktop: Calculated fields, LOD expressions, dual-axis charts, actions, dashboard formatting, and storytelling. Tableau Server/Online: Publishing, scheduling, permissioning, and tuning. Tableau Prep: Data cleansing and transformation workflows. Data & Querying: SQL: Writing complex queries with joins, subqueries, CTEs, and aggregations. Data Modeling: Star/snowflake schemas, normalization, and data blending.

Department: Personal Investing (PI) & Advisory Operations - India Team for Germany Reports To: Head of Personal Investing (PI) & Advisory Operations - India Team for Germany Department Description The German Customer Operations department is part of Global Personal Investing and Advisory Operations (GPIA Operations). Operations in Germany supports profitable business growth by continuously improving operational processes and the overarching operating model. The department aims to deliver an outstanding customer experience and works collaboratively with Technology, Client Services and Sales (cross-functional approach). As PI & Advisory Operations in Germany is embedded into the global Operations unit of the group, the German team is able to access additional resources and knowledge to continuously improve operational processes and follow a digital first approach. Purpose of the Role PI & Advisory Operations Germany consists of different teams and is organized into the key functions of Post and Document Management, Client-Onboarding and Client Maintenance, Re-Registration and Transfers, Dealing, Ordering, Reconciliation and Distributions, as well as customer regulatory reporting and tax. This role covers core client set-up and maintenance activity. Key Responsibilities Set-up and maintenance of client accounts. Maintenance of client details (e.g. name, address and bank details). Deletion of client information. Completion of data cleansing activities to adhere to data accuracy and consistency requirements. Ensure that quality and productivity standards are adhered to. Experience and Qualifications Required Fluency in German and English Good numeracy and attention to detail Process and continuous process improvement knowledge Client-centricity High level of quality assurance and risk awareness Motivation and collaboration.

About The Role : At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence. Requirements We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Experience 0 to 2 years Knowledge of the following will be advantageous : - SQL Query writing- MS Power BI- Python/R for data science Responsibilities : Selected candidates will be responsible for the following :- Data Cleaning and Preparation This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.- Data Exploration and Analysis Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.- Data Visualization They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.- Reporting Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.- Collaboration They often work with other departments to understand their data needs and help them make informed decisions based on data insights.- Understand requirements given by business users in the functional domain.- Access data stored in databases/warehouses/flat files.- Create/test/deploy intuitive and interactive, analytical dashboards.- Create algorithms in Python/R for advanced analytics.- Create data governance policies like RLS to manage data security.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Role & responsibilities Role : Third Party Data Acquisition Study Analyst * Collaborate closely with the Third Party Data Acquisition Study Analyst to facilitate the setup and acquisition of external clinical data at the study level during study startup, conduct, and closeout phases. * Ensure data accuracy, completeness, and consistency through effective cleaning, validation, and transformation processes. * Monitor data feeds regularly to uphold data quality and accuracy. * Support the setup of infrastructure enabling external data integration into client's clinical data pipelines. * Provide guidance and coordination to vendors on data acquisition systems, including GlobalScape, Veeva FTP, Veeva training, and IP whitelisting. * Review incoming data from multiple sources to confirm compliance with Data Transfer Agreements (DTA) regarding format, file extensions, and field requirements. Validate all third-party data generated during clinical trials for integration into Clients clinical data ecosystem. * Assist the Third Party Data Acquisition Study Analyst in conducting periodic Trial Master File (TMF) reviews per the study TMF plan. * Adhere to procedural documents and participate in their review and updates to ensure alignment with industry standards, regulatory requirements, and best practices. * Coordinate with and review deliverables from external partners (e.g., labs, eCOA providers, technology vendors) performing services for Client. * Appropriately escalate issues to the Third Party Data Acquisition Study Lead. * Routinely monitor proprietary applications for scanned mail and distribute documents to relevant teams.Perform regular quality checks to ensure optimal system performance and data integrity. Preferred candidate profile

Position Overview: We are seeking a meticulous and tech-savvy individual to join our India team as a Customer Onboarding & Data Ingestion Specialist. This crucial role serves as a bridge between our US-based clients/business teams and our India-based development team. You will be responsible for ensuring a seamless onboarding experience for new clients and managing the accurate ingestion of critical deposition transcript data into our system. This role requires working in shifts that allow for significant overlap with both the US team CST and the India team (IST), likely aligning with UK shift timings or a similar split-shift model. Key Responsibilities: Customer Onboarding: Guide new customers through the setup and configuration of our software. Conduct remote training sessions to ensure clients understand how to use the platform effectively, focusing on data submission and report generation. Develop and maintain onboarding documentation, tutorials, and best practice guides. Data Ingestion & Validation: Receive raw deposition and trial transcripts from clients in various formats. Process, format, and meticulously review transcripts before ingestion into the software. Ensure the highest level of accuracy and completeness during the data ingestion process, identifying and rectifying any discrepancies. Monitor data ingestion pipelines and troubleshoot any failures or errors. Cross-functional Collaboration & Support: Liaise effectively between US-based customers/business teams and the India-based development team. Communicate customer feedback, feature requests, and technical issues related to onboarding and data ingestion to the relevant internal teams. Provide ongoing support to clients regarding data submission and basic platform usage. Collaborate with the development team to understand new features and their impact on onboarding and data processes. Process Improvement: Identify opportunities to streamline and improve the efficiency of the customer onboarding and data ingestion workflows. Contribute to the enhancement of internal tools and processes related to data management. Required Qualifications & Skills: Bachelor's degree.. Candidates with degrees in related fields (e.g., English, Linguistics, law, Computer Science with relevant experience) demonstrating exceptional attention to detail will also be considered. Exceptional attention to detail is paramount for handling sensitive legal data accurately. Strong technical aptitude and willingness to learn new software platforms quickly (Tech Savvy). Comfortable working with digital tools and data formats. Excellent verbal and written communication skills in English, suitable for professional client interaction in the US market. Strong organizational and time management skills, with the ability to manage multiple tasks concurrently. Proactive problem-solving abilities. Customer-centric mindset with patience and empathy. Willingness and ability to work in shifts that overlap significantly with US business hours CST and IST, apparently this will be UK shift which covers both CST and IST. Preferred Qualifications: Prior experience in a customer-facing role (support, success, onboarding). Some familiarity with legal terminology or the deposition process is a plus. Experience with data entry, data processing, or quality assurance. Work Environment: This role requires close collaboration with teams across different time zones. Flexibility to work adjusted hours (split shift / UK shift) is essential for success in this role.

Identifying unapproved invoices in Legal Tracker and liaising with internal lawyers for approval. Acting as single point of contact for credit controllers at the law firms, Accounts Payable and all Legal colleagues around unpaid or unapproved invoices. Reviewing all invoices approved, confirming payments status, and engaging with Accounts Payabale for any unpaid invoices. Identifying, gathering, and challenging any Purchase Order and invoices not submitted through the Legal Tracker system to understand why the matter is not set up in Tracker and whether this is valid. Ensuring compliance and full adherence to billing guidance. Providing support, guidance, communications, and training to the function on invoice management and billing best practices. Ensuring management information and ad-hoc reports are produced in a timely manner, as we'll as data cleansing and reporting. Responsible for evolving / maintaining the invoice management framework and MI financial reporting for Legal function in the Legal. Escalating billing issues as appropriate. Requirements bachelors degree in finance, or equivalent with minimum of 6+ years of experience in Finance / Procurement / Accounts Payable. Strong financial and administrative background. Ability to accurately analyze large amounts of information and is experienced in the production of reports. Should be highly proficient in Advance Excel and excellent working knowledge of MS PowerPoint. Ability to produce Dashboards using spreadsheets efficiently, perform calculations to process large volumes of data. Contribute productively to team objectives, sometimes supporting and sometimes leading activities to achieve shared goals. Develop and maintain a strong and professional working relationship within Function at local, regional, and global levels. Strong spoken and written communication skills with experience of adapting your style and approach to the audience.

Job Title: Data Analyst Location: Bangalore Experience: 1- 3 years Industry: Insurtech / Employee Benefits Company: Pazcare Job Type: Full-Time Job Summary: Pazcare is seeking a Data Analyst to help us unlock actionable insights from our growing datasets across insurance, wellness, and employee benefits. You will work closely with our business, product, and growth teams to drive data-informed decision-making. Responsibilities: Collect, clean, and analyze structured and unstructured data across various channels. Design and maintain dashboards to track key metrics and business KPIs. Perform root-cause analyses and identify actionable insights for product and growth teams. Collaborate with stakeholders to define data requirements and reporting goals. Present findings clearly with visualizations, summaries, and recommendations. Requirements: 13 years of experience in a data analyst or business intelligence role. Proficiency in SQL and spreadsheet tools like Excel/Google Sheets. Experience with data visualization tools (Tableau, Power BI, Looker, or similar). Familiarity with scripting in Python or R for data wrangling and analysis. Strong analytical thinking and attention to detail. Excellent communication and presentation skills. Nice to Have: Experience working with insurance or employee benefits data. Exposure to data warehouses (BigQuery, Snowflake, Redshift). Understanding of basic statistical methods and/or A/B testing.

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role Ethos is seeking a Senior Data Analyst Engineer to join our Enterprise Systems team and help drive data operations Sales, Marketing, and Product teams. As a Senior Data Analyst Engineer, you will play a critical role in transforming raw data into actionable insights that drive business growth. If you have a passion for data analysis, development, and are proficient in SQL, DBT data modeling, we encourage you to apply. Duties and Responsibilities: Build and maintain data marts to support various business functions Work closely with cross functional stakeholders to identify and build a roadmap for new data model development Collaborate with application and product teams to understand product and application behavior to arrive at the appropriate data model Build and maintain data marts to support various business functions and carrier partners Optimize queries, and refine data structures to ensure efficient data retrieval and reporting Ensure data accuracy, consistency, and integrity by implementing data validation and data cleansing processes. Perform data quality checks and troubleshoot any issues Set standards for data model development, establish and evangelize best practices within the team and organization wide Maintain detailed documentation of data models for reference and knowledge sharing Qualifications and Skills: Proven experience in data analytics, data engineering, or a related role Strong proficiency in SQL and DBT for data model development Experience with data integration tools and platforms, including Airflow Familiarity with Mode or similar data visualization tools Knowledge of tools like Segment, Amplitude Iterable is a plus #LI-Hybrid #LI-DG1 Don t meet every single requirementIf you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice .

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Mandatory Skills: Transition Management. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Date 15 May 2025 Location: Kolkata, WB, IN #job-location.job-location-inline {displayinline;} Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities a we reduce carbon and replace cars. Could you be the full-time EPU Manager in Kolkata were looking for? Your future role Take on a new challenge and apply your expertise in ERP implementation and business processes in a cutting-edge field. Youll work alongside proactive and collaborative teammates. You'll play a critical role in implementing Alstoms Global Single Instance (GSI) Core Model, ensuring that ERP processes are correctly adopted and optimized. Day-to-day, youll work closely with teams across the business (such as engineering, operations, and IT), lead data cleansing operations, and provide training for end-users and newcomers on processes, business rules, and tools. Youll specifically take care of testing new functionalities and preparing data for migration, but also supporting end-users post-Go Live. Well look to you for: Providing in-depth knowledge of local business processes Leading data cleansing, validation, and migration efforts Testing new functionalities and addressing incidents or defects Communicating process changes to local management and end-users Developing and delivering training materials for end-users Contributing to the cutover plan and its execution Ensuring business roles are correctly defined with needed authorizations Supporting functional stream continuous improvement by sharing best practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: A graduate degree or extensive experience in a relevant stream such as engineering Extensive knowledge of local business processes Experience in ERP implementation (45 years preferred) Knowledge of Alstoms business and product lines Continuous improvement awareness Experience in end-user training Proficiency in English for daily communication (speaking, reading, and writing) Strong analytical skills Project management or change management experience Ability to work in a multicultural environment Excellent communication skills and a disciplined, proactive approach Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with innovative ERP solutions for rail operations Collaborate with transverse teams and helpful colleagues Contribute to impactful and innovative projects Utilise our dynamic and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development through award-winning learning Progress towards leadership roles or specialized ERP expertise Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Job Summary The Senior Process Executive - HC will play a crucial role in managing provider data cleansing and updates ensuring accuracy and efficiency in healthcare data processes. With a hybrid work model and rotational shifts the candidate will utilize their expertise in MS Excel and Excel Services on SharePoint to streamline operations and enhance data integrity. This position requires 2 to 4 years of experience in relevant technical and domain skills. Responsibilities Manage provider data cleansing processes to ensure accuracy and reliability of healthcare information. Utilize MS Excel to analyze and organize large datasets for efficient data management. Implement Excel Services on SharePoint to enhance collaboration and data sharing among team members. Oversee provider add/update processes to maintain up-to-date and accurate provider information. Collaborate with cross-functional teams to identify and resolve data discrepancies. Develop and maintain documentation for data management processes to ensure consistency and compliance. Provide insights and recommendations for process improvements based on data analysis. Ensure adherence to data governance policies and procedures to protect sensitive information. Support rotational shifts to ensure continuous data management operations. Contribute to the development of best practices for provider data management. Assist in training team members on data management tools and techniques. Monitor data quality metrics to identify areas for improvement and implement corrective actions. Engage in regular communication with stakeholders to provide updates on data management activities. Qualifications Demonstrate proficiency in MS Excel for data analysis and management tasks. Exhibit experience with Excel Services on SharePoint for enhanced data collaboration. Possess strong skills in provider data cleansing and update processes. Show ability to work effectively in a hybrid work model and rotational shifts. Display excellent problem-solving skills to address data discrepancies. Have experience in maintaining documentation for data processes. Present strong communication skills for stakeholder engagement.

Location: Hyderabad Function: HD HR Requisition ID: 1033270 Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The role: We are looking for a detail-oriented and proactive HR Senior Data Analyst to join our HR team. The ideal candidate will support HR reporting, manage HR reporting service tickets, and help translate data into impactful visualizations and presentations. A foundational understanding of HR functions, proficiency in Excel, and comfort working on PowerPoint decks is essential. Familiarity with Power BI will be a strong plus. Key Responsibilities: Handle HR reporting tickets and queries, ensuring timely resolution and stakeholder satisfaction Collaborate with HRBPs and functional teams to understand data/reporting needs Prepare insightful presentations and decks using PowerPoint to support HR meetings and reviews for analyses Assist in workforce analytics, employee lifecycle tracking, and ad-hoc HR data requests using Excel (pivot tables, lookups, data cleaning, etc.) Work closely with the HRIS team to ensure data integrity and consistency Support data gathering for audits, compliance, and HR metrics reporting Leverage Power BI to create or update visual reports and dashboards What you’ll bring: 3–7 years of experience in an HR or HR analytics role Strong proficiency in Microsoft Excel (pivot tables, charts, formulas, etc.) Working knowledge of PowerPoint for corporate presentation creation Familiarity with HR processes, systems, and terminologies Experience handling HR service requests/tickets Good communication and stakeholder management skills Ability to handle multiple tasks and work in a fast-paced environment Exposure to or hands-on experience with Power BI Nice to Have: Understanding of HRIS tools like Workday SQL knowledge About us We’re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. #LI-RR1 Championing diversity, equity, and inclusion

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

Inspira Enterprise India Pvt. Ltd. is looking for 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. BE/B.Tech/B.SC IT/ BCA Total 3 years of exp. CEH certification Must Monitoring Tracking Incidents/Alerts 24x7, Reporting Escalation, Regular SIEM Administrati

Collect & manage data from various sources. Clean & organize data to ensure accuracy. Spot trends and patterns in data to help the business. Create charts, dashboards, and reports for different departments. Required Candidate profile Strong skills in Excel, Google Sheets, SQL, & Python. Expwith data visualization tools - Power BI, Tableau, or Looker Studio. Excellent communication skills to explain complex data in simple terms.

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 Requirements 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 Compensation: Commensurate with Industry standards Other Benefits: Provident Fund, Gratuity, Medical Insurance, Group Personal Accident Insurance etc. employment benefits depending on the position.