876 Data Validation Jobs - Page 34

Confidence Petroleum is looking for Documentation Executive to join our dynamic team and embark on a rewarding career journey. Preparing and maintaining all types of documents, such as user manuals, training materials, and technical reports Ensuring that all documentation is accurate, complete, and up-to-date Collaborating with cross-functional teams to gather information and develop comprehensive documentation Reviewing and editing documentation to ensure consistency and readability Developing and implementing documentation processes and procedures Staying current with industry trends and best practices in technical documentation Managing document version control and ensuring that all documentation is stored securely

Job Summary We are looking for a proactive and detail-oriented Sales Intern to join our sales team. The ideal candidate will be responsible for identifying potential clients, gathering accurate contact information, and collaborating with the sales team to convert prospects into business opportunities. The role requires proficiency in market research, sales intelligence platforms, data validation, and a strong understanding of customer personas. Key Responsibilities, Deliverables / Outcomes Lead Generation & Prospecting: - Identify and research potential clients based on the ideal customer profile. - Use sales intelligence tools (like ZoomInfo, LinkedIn Sales Navigator, Lusha, etc.) to build prospect lists. - Extract accurate contact information of decision-makers (CXOs, Heads, etc.) across industries. - Track and maintain a high-quality lead database to support sales outreach. Persona Analysis Customer Profiling & Targeting: - Understand customer personas and segment prospects accordingly. - Stay updated on industry trends and new sectors that align with our service offerings. - Collaborate with sales and marketing teams to refine targeting strategie Data Validation & Accuracy Database Management: - Maintain structured and up-to-date client and lead databases using CRM tools. - Validate and verify collected data to ensure accuracy and eliminate duplicates or outdated contacts. - Regularly clean and enrich the data for maximum outreach efficiency. Database Management: - Maintain structured and up-to-date client and lead databases using CRM tools. - Validate and verify collected data to ensure accuracy and eliminate duplicates or outdated contacts. - Regularly clean and enrich the data for maximum outreach efficiency. Sales Collaboration & Reporting: - Share qualified leads with the sales team and assist with outreach strategy. - Provide weekly/monthly reports on lead status, conversion potential, and outreach performance. - Support the sales team with insights and background information on key prospects.

We are looking candidate for MIS Executive Role based out at Head Office in Gomti Nagar, Lucknow. Job description: Data Management: Collect, process, and manage data from various sources. Ensure data accuracy, consistency, and integrity. Reporting: Generate and distribute regular and ad-hoc reports to management and other stakeholders. System Management: Maintain and manage the organization s MIS systems, ensuring they are up-to-date and functioning correctly. Provide technical support and training to users as needed. Data Analysis: Analyze data to identify trends, patterns, and insights that can support decision-making processes. Recommend improvements based on data analysis. Documentation: Develop and maintain documentation related to MIS processes, systems, and data management. Ensure that all procedures are documented and easily accessible. Location: Candidates from Lucknow location will be preferred. Work Experience: Minimum 2 years of Experience required as an MIS Executive role. Proficient in Advance Excel (Mandatory) Excel Proficiency skills: Conditional formatting Data sorting Data analysis Data manipulation Data validation Flash Fill Power Pivot Cell formatting INDEX MATCH Power Query Using shortcuts and formula functions Advanced macros and vba Business Analysis Calculate the sum Capturing and recording important data Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

We are looking for a Sr. Business Analyst to join our Go-To-Market Reporting and Analytics team. In this role, you will help build data models and reports to support the broader sales organization. The ideal candidate will have experience working with sales data, SQL scripting, developing production-quality dashboards, and managing large data sets. They should possess a keen attention to detail, a creative problem-solving mindset, and strong communication skills. This individual will collaborate across functions to empower the sales operations community and leadership in making data-driven, strategic decisions. What you get to do in this role: Build complex data models to perform analysis of sales data in support of various reporting initiatives. Research required data and provide insights for ad-hoc questions from leadership. Use BI tools to design and implement industry standard best practices for scalable data management and processing architecture. Work with local and remote team members to design and build data models and perform data validation, integration testing, and support models. Develop functional subject matter expertise within various areas of the enterprise and maintain documentation for all areas of involvement, including metadata objects for end users. Manage and nurture relationships with key stakeholders, ensuring clear communication and alignment across all levels of the organization. To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

Please download the comprehensive job description, including the position summary, specific responsibilities, and qualifications . APPLICATION DEADLINE: Applications will be reviewed as they are received, so interested candidates should apply immediately.

This incumbent will be responsible for the overall Slot Management, Capacity Planning & Statistics & Planning Cell for GHIAL.Slot Management:Slot Management is precisely to manage airport capacity through the application of set of rules contained in the IATA Worldwide Slot Guidelines (WSG) & local authorities guidelines. Slot Management involves the allocation of constrained or limited airport capacity to airlines and other aircraft operators to ensure a viable airport and air transport operation. It is also a process to maximize the efficient use of airport infrastructure. The prime objective of airport Slot Management is to ensure the most efficient use of airport infrastructure in order to maximize benefits to the greatest number of airport users and capitalize on revenue generation.Statistics & Planning Cell (SPC):To ensure timely collation & circulation of Air Traffic Movement, Passenger numbers, Cargo tonnage & Mail data to various stakeholders on regular basis. The need is to establish a single point of contact (SPOC) for data generation, distribution, facilitate necessary information and support to all the stakeholders. SPC provides MIS to various intenal and external stakeholders.Another integral role of SPC is to work on long term Capacity Planning, Master Planning, Forecasting, OTP, Strategic Initiatives, Process Improvement, & various other projects. Collecting, processing, analyzing data to identify trends, business insights, tracking of key performance indicators of APOC to come up with meaningful insights, underlying causes of operational issues, keeping up to date with industry trends, tools , methodologies ORGANISATION CHART KEY ACCOUNTABILITIES Responsible for Post operational analysis. Collect and manage data from primary or secondary data sources and organize the data in a meaningful way. Preparing and analyzing data and metrics to identify trends, successes, and areas needing improvement, assessment, and reporting on the effectiveness and outcomes of operational parameters. Daily/ periodical reports to Management/DGCA/AAI. AODB management, data validation and consolidation Preparing detailed reports and presentations for stakeholders, outlining findings and recommendations, working with various departments to gather necessary information and to ensure cohesive implementation of improvements. Tracking and analyzing key performance indicators (KPIs) to assess the effectiveness of operations and make necessary adjustments. Extending support in Analyzing throughputs at touch points as per the BCAS capacity guidelines for optimum utilization of resources, also identifying capacity constraints to put mitigation measures in place. Support in Airport simulation and capacity assessment and helping for optimization of certain resources Acts as a SPOC for all operational projects and technology driven initiatives of APOC, also handles Business excellence , ACI ASQ, Skytrax, 5S, DuPont, CIP projects KEY ACCOUNTABILITIES - Additional Details EXTERNAL INTERACTIONS Airlines, Ground handlers, CISF, ATC, Cargo, AAI, BCAS, DGCA. INTERNAL INTERACTIONS All Internal departments including Cargo and duty-free subsidiaries FINANCIAL DIMENSIONS OTHER DIMENSIONS EDUCATION QUALIFICATIONS B.Tech/BE (Full time) RELEVANT EXPERIENCE 6+ yrs of relevant experience in Airport Operation COMPETENCIES Personal Effectiveness Social Awareness Entrepreneurship Problem Solving & Analytical Thinking Planning & Decision Making Capability Building Strategic Orientation Stakeholder Focus Networking Execution & Results Teamwork & Interpersonal influence

remote typeOn-site locationsBengaluru, KA time typeFull time posted onPosted 2 Days Ago job requisition idREQ416597 100% uptime for all the facilities and utility machineries, also responsible for operation of utilities 24x7. Should have good documentation skills. Responsible for operation and adjustment of equipment per facilities requirement. Frequently training and guiding operators and workers on maintenance related activities. Daily tracking and monitoring of equipment performance. Responsible for preparation and updating equipment master list as and when required. Preparation of maintenance calendar for the equipment based on the manufacturer recommendations. Preparation of SOP and Work instructions as per the OEM requirements. Performing planned and unplanned maintenance for the equipment by coordinating with respective users. Maintaining PM, AMC and other maintenance related records for the equipment. Coordination with the external vendors for the OEM dependent activities (AMC). Preparation and maintenance of the critical spares for the machineries as per the OEM recommendations. Verification and maintenance of water generation and storage systems. Quick problem solving and finding root cause for the problems. Reducing MTTR and MTBF for the machineries. Finding root cause and implementing the CAPA for the failures. Ensuring safety, adherence to the procedures and policy. Supporting for the cross functional team. Monitoring technicians performance and providing guidance as and when required. Daily reporting to respective manager. Should have knowledge on GMP. Responsible for Energy conservation, validating and implementing suggestions. Reporting unsafe act and conditions to reduce the incident in the workplace. Kaizen and 5S Skills: Strong knowledge in Operation and maintenance of the utility and facility equipment. Ability to guide the team as and when required. Good communication skills and agile. Should have strong knowledge in electrical machineries like MAU(AHU),Pumps, Chiller ,Cooling tower, vacuum pump, Heat exchangers, VRF, Compressor, plumbing system. Qualification: Diploma / BE mechanical engineer with 3-6 years of experience in manufacturing /process industries. Location On-site Bengaluru, KA Scheduled Weekly Hours: 48. Jones Lang LaSalle (JLL) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process including the online application and/or overall selection process you may contact us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary s Job Title Full Stack Developer (React, Node.js, Microservices) Job Type FullTime Job Overview As a Full Stack Developer , you will be responsible for developing both the frontend and backend of scalable and performant applications. You will work on creating clean, maintainable, and efficient code, building microservices architecture, and integrating with thirdparty services. You will also contribute to system design and participate in architectural decisions, following best practices and design patterns. Key Responsibilities Frontend Develop user interfaces using React.js, ensuring responsiveness and crossbrowser compatibility. Backend Build and maintain serverside logic using Node.js and Express, ensuring scalability and performance. Microservices Design and implement microservicesbased architecture, ensuring robust, modular, and decoupled services. Design Patterns Apply relevant software design patterns such as MVC, Singleton, Factory, Observer, and Dependency Injection to create maintainable, testable, and reusable code. API Integration Develop RESTful APIs and integrate with thirdparty APIs, ensuring efficient and secure data exchange. Collaboration Work closely with frontend and backend teams to ensure seamless integration of components and services. Testing & Quality Assurance Write unit and integration tests for frontend and backend systems to ensure highquality code. CI/CD Participate in Continuous Integration and Continuous Deployment processes, ensuring smooth deployment pipelines. Documentation Document code, architectures, and API endpoints for ease of use and future development. Required Skills & Qualifications Strong proficiency in React.js and Node.js . Expertise with at least one Object Oriented JavaScript Framework ( React , Angular , Ember, Dojo, Node etc.) Proficiency with Object Oriented Programming, multithreading, data serialization and REST API to connect applications to backend services. Proficiency in Docker , Kubernetes (k8s), Jenkins , and GitHub Actions is essential for this role. Proven cloud development experience AWS. Understanding of IT life cycle methodology & processes. Experience in understanding and Leading Enterprise Platform /Solutions Experience working with Microservices / Service Oriented Architecture Frameworks Good Understanding on Middleware technologies Experience with design patterns and software architecture best practices. Proficiency with databases like MongoDB , MySQL , or PostgreSQL . Solid understanding of RESTful services and API design. Familiarity with version control systems (Git) and Git workflows. Experience with testing frameworks (e.g., Jest, Mocha, Chai). Strong problemsolving skills and attention to detail. Good understanding of security practices, such as authentication, authorization, and data encryption. Experience with agile methodologies (Scrum, Kanban). Preferred Skills Knowledge of GraphQL . Experience with Kubernetes and container orchestration. Familiarity with cloud platforms (AWS, Azure, GCP). Experience with message brokers (e.g., Kafka, RabbitMQ). Knowledge of serverless architecture. Familiarity with frontend build tools (Webpack, Babel, etc.). Education & Experience Bachelor s degree in Computer Science, Engineering, or related field, or equivalent practical experience. 47 years of experience as a Full Stack Developer or in a similar role. Mandatory skill sets React.js and Node.js. Preferred skill sets React.js and Node.js. Years of experience required 47 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Node.js Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more} No

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Warehouse ETL Testing Good to have skills : NA Minimum 5 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 teams to develop innovative solutions and ensure seamless application functionality. 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 Provide solutions to problems for their immediate team and across multiple teams Lead testing efforts to ensure the quality and performance of applications Develop and execute test plans, test cases, and test scripts Identify and report defects to ensure quality assurance Professional & Technical Skills: Must To Have Skills: Proficiency in Data Warehouse ETL Testing Strong understanding of ETL processes and tools Experience in SQL querying and data validation Knowledge of data warehousing concepts and methodologies Hands-on experience with ETL testing tools and techniques Additional Information: The candidate should have a minimum of 5 years of experience in Data Warehouse ETL Testing This position is based at our Gurugram office A 15 years full-time education is required Qualification 15 years full time education

Job Title - Pricing CPQ Specialist ACS SONG Management Level:9-Specialist Location:Kochi, Coimbatore, Trivandrum, Bangalore, Mumbai, Hyderabad, Chennai, Ahmedabad Must have skills:PROS Pricing /CPQ Good to have skills:PROS Smart Price Optimization Job Summary Results-driven Pricing CPQ Associate Manager who designs and implements CPQ solutions to streamline sales processes, ensuring accurate product configurations, pricing, and quoting. They work with business stakeholders to understand requirements and translate them into technical specifications, while also providing guidance to development teams and ensuring integration with other systems. Proven track record of improving pricing accuracy, reducing quote turnaround time, and supporting revenue growth through process enhancements and strategic pricing recommendations. Roles and Responsibilities Lead Pricing/CPQ transformation initiatives, designing scalable and flexible PROS-based solutions. Oversee the end-to-end implementation of PROS Pricing/CPQ solutions, ensuring alignment with business objectives. Develop detailed Technical design and architecture to implement PROS Pricing/CPQ Manage large-scale Pricing/CPQ implementations, providing hands-on technical and functional guidance. Resolve integration challenges between various backend enterprise systems. Ensure application performance, scalability, and optimization. Act as a trusted advisor, guiding clients through best practices and digital transformation in pricing and CPQ. Professional and Technical Skills 2+ years of experience architecting PROS Pricing/CPQ solutions, with expertise in Product modelling, configuration, and rules (CTO and ETO) Guided selling and complex pricing models Discounting structures and approval workflows Quoting, document generation, and e-signature processes Contracts, subscriptions, and renewals Seamless Quote-to-Order conversion 5+ years working with pricing and CPQ platforms Strong hands-on experience in solution design and validation, including code review and script validation. Certification in PROS Pricing/ CPQ is a must Additional Information About Our Company | Accenture (do not remove the hyperlink) Qualification Experience:5 - 8 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Workday Data Conversion Consultant Company Description We are a consulting company with a bunch of technology-interested and happy people! We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued. With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level. We are looking for you who is immediate joiner and want to grow with us! With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility About the Role: We are seeking a skilled Workday Data Conversion Consultant to join our dynamic team. The ideal candidate will have hands-on experience in Workday HCM modules and a strong understanding of data conversion, validation, and reporting processes. This role will be pivotal in ensuring accurate data migration and integrity during Workday implementations and upgrades. Key Responsibilities: Execute data conversion activities for Workday HCM, Recruiting, Advanced Compensation, and Absence Management modules. Utilize EIB (Enterprise Interface Builder) and Workday Worksheets for seamless data import/export operations. Perform thorough data validation and debugging to ensure accuracy and consistency of migrated data. Interpret and work with Workday organizational structures including supervisory orgs and org charts. Collaborate with functional and technical teams to understand data requirements and deliver high-quality outputs. Develop or support Workday custom reports and dashboards as needed. Provide support during UAT and cutover phases for data conversion-related issues. Required Experience & Skills: 2-3 years of hands-on experience with Workday HCM , Recruiting , Advanced Compensation , and Absence Management . Strong expertise in EIBs , Workday Worksheets , and Org Chart structures . Proven debugging and data validation capabilities. Familiarity with Workday data models and reporting tools (e.g., Workday Report Writer, Calculated Fields). Knowledge of SQL and Python is a strong plus. Tech Stack / Modules Involved: Workday HCM Recruiting Compensation Absence Management EIB (Enterprise Interface Builder) Position Title: Workday Data Conversion Consultant Location: Hyderabad / Bangalore / Pune Mode: Hybrid Start: Immediate Form of employment: Full-time until further notice, we apply 6 months probationary employment. We interview candidates on an ongoing basis, do not wait to submit your application.

We are looking for an experienced OneStream Developer to design, develop, and maintain OneStream XF solutions that support enterprise-wide financial planning, consolidation, and reporting needs. This role requires strong technical and analytical skills, with hands-on experience in the OneStream platform. Design and develop OneStream solutions including workflows, business rules, dashboards, cube views, and reports. Create and maintain data integrations between OneStream and source systems (ERP, Data Warehouses). Configure metadata, data models, and security roles within the OneStream platform. Write and troubleshoot VB.NET business rules and custom calculations. Support financial close and planning cycles through automation, data validation, and performance tuning. Partner with business stakeholders to gather requirements and translate them into functional and technical specifications. Develop and execute unit, system, and user acceptance test plans. Provide ongoing maintenance and enhancements to OneStream applications. Document technical designs, processes, and user guides.

Job Description: Job Responsibility Data Extract from various tools and data validation, formatting etc. Data Analysis and Reporting Process Optimization Data Security and Compliance Collaboration and Communication Good in analytical thinking for translating data into informative visuals and reports. Responsible for publishing reports to stake holders. Managing and coordinating the maintenance of Internal Systems DescriptionCollecting, analyzing, and reporting on data to support management decision-making. This includes generating regular and ad-hoc reports, maintaining databases, and ensuring data accuracy and timeliness. The role also often involves collaborating with other departments, implementing reporting tools, and providing recommendations for system improvements. QualificationGraduate (Bcom,Bsc,BCA MCA, MBA) Level of Experience3+ of Experience in MIS Reporting Other Skills (If Any) Advanced MS Excel skills (Understanding Pivot tables,Lookup, formulas, and Charts) Should be expert in maintaining data. Good communication skills both in verbal and written. Good Presentation Skills Start DateImmediate Location- Bengalore Additional Sills:

Responsibilities: -Assist in developing ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines to ingest and transform data from multiple internal and external sources. -Participate in data integration efforts, connecting to REST APIs, flat files, cloud storage, on-prem databases, and SaaS applications. -Implement basic to moderately complex data transformations (joins, filters, aggregations, derived columns) using SQL or mapping data flows. -Support the creation and execution of data quality checks, validations, and logging mechanisms to ensure data accuracy and completeness. -Help monitor and troubleshoot pipeline failures or data anomalies, escalating issues when needed. -Contribute to data cataloging, lineage documentation, and metadata tracking using Microsoft Purview. -Maintain clean, reusable code and follow team development practices. -Work closely with BI developers to ensure data is properly prepared for Power BI dashboards and reports. Qualifications: -3+ years in a data engineering, data analytics, or software development role with a data focus. -Exposure to or hands-on experience with Azure Data Factory, Synapse Analytics, SQL, and Azure Data Lake. -Familiarity with data transformation logic and data integration concepts. -Understanding of data quality assurance techniques and data validation principles. -Basic scripting skills (e.g., Python) and version control (Git). -Eagerness to learn modern data tools including Microsoft Fabric, Power BI, Purview, and CI/CD for data pipelines.

Description & Requirements As a Data Consultant, you will build solutions for data migration and mastering, which involve analyzing, cleaning, transforming, and loading data to ensure it is accurately migrated and mastered for Infor CloudSuites using the optimum solutions available within the Infor Datamesh platform, along with additional Infor products and tools. You will be responsible for developing data migration strategies, building comprehensive data pipelines, and defining data mapping logics, solutions, and strategies from source to target based on business requirements. Additionally, you will provide end-to-end access, storage, and data transfer strategies throughout the migration process. This role requires collaboration with cross-functional teams to deliver high-quality data solutions that meet business needs. A Day in The Life Typically Includes: Build and develop data migration and mastering solutions using the Infor Datamesh platform to meet business requirements. Create source-to-target mappings to facilitate seamless data migration. Analyze source data, and clean, transform, and master data from multiple sources in alignment with business requirements. Build and monitor data pipelines, ensuring data quality and accuracy. Collaborate with cross-departmental teams to improve data migration and mastering processes. Develop and implement data validation and cleansing processes to ensure data integrity. Optimize data migration workflows to enhance efficiency and reduce downtime. Document data migration processes and solutions. Provide support to stakeholders on data migration processes. List essential duties Basic Qualifications: 4-5 years of experience in data migration and mastering. Expertise in SQL, with knowledge of multiple data storage systems, DBMS, cloud storage solutions. Experience with data analysis tools and large datasets. Strong ability to analyze data and provide insights for business improvements. Familiarity with Agile methodologies. Proficient in developing data migration and mastering solutions. Strong understanding of data migration, mastering, governance principles and best practices. Excellent problem-solving skills and attention to detail. Effective communication skills to collaborate with technical and non-technical stakeholders. Preferred Qualifications: Knowledge of data migration and mastering processes within enterprise environments. Familiarity with Infor ERP CloudSuites. Proficiency in Python Scripting.

Responsibilities: -Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines, and Spark (via Synapse or Databricks). -Implement complex data integration efforts across a wide range of structured, semi-structured, and unstructured sources (e.g., SQL, APIs, Event Hubs, Blob Storage, SharePoint). -Develop and optimize advanced transformations including joins, aggregations, window functions, slowly changing dimensions (SCDs), and schema evolution handling. -Establish and automate data quality checks, validations, and alerting for data anomalies using tools like Azure Data Quality, custom Python scripts. -Implement robust data lineage tracking, auditing, and error handling mechanisms. -Enforce data governance and compliance policies using Microsoft Purview, RBAC,Managed Identities, and Key Vault integration and data masking techniques. -Support data modeling activities (e.g., star/snowflake schemas, lakehouse structures) for reporting and analytics in Synapse and Power BI. -Collaborate with BI, ML, and application teams for end-to-end data integration and delivery. -Lead code reviews, mentor junior engineers, and ensure adherence to best practices and documentation. -Integrate DevOps pipelines for CI/CD deployment of data infrastructure using Azure DevOps, ARM/Bicep, or Terraform. Qualifications: -8+ years of experience in Data Engineering roles, with 2+ in senior or lead roles. -Strong expertise in Azure Data Factory, Synapse Analytics, Azure Data Lake, Delta Lake, and SQL. -Proficient in Python, Spark, and data orchestration. -Deep experience with data integration, API data ingestion, and real-time/streaming ingestion using Event Hubs, Kafka, or similar tools. -Proven track record implementing data quality frameworks and data validation logic. -Experience deploying data solutions in Fabric Workspaces and managing lifecycle through CI/CD tools (e.g., Azure DevOps, GitHub Actions) -Solid understanding of data warehousing, data lakehouse architecture, and data governance -Strong problem-solving skills and ability to drive architecture decisions collaboratively.

Position Title : Analyst Service Delivery Management Location : Pune, India Reports to : Team Lead / Manager Sakon is the world's first SaaS platform purpose built to help the enterprise understand, manage and evolve its communications and cloud infrastructure. For more information, please visit our website :- www.sakon.com Job Summary : The Analyst will handle following tasks: To handle/to take ownership of multiple wireline TEM activities includes invoice processing, monthly invoice audit, AP payment file creation and maintenance, Research on past due balance/Payment reconciliation, other account maintenance activities come under invoice management. To interact with vendors to procure invoice copies, information on payments, resolve past due/payment issues, etc. To interact with Clients via emails, conference calls, etc. To take ownership of reporting (weekly/monthly). Education : Graduate/PG (Preferably from Telecom, Commerce, Banking) Skills and Knowledge: Excellent communication skills spoken & written. Preferred Neutral/ US accent Experience in wireline process/TEM process - both client and vendor-side. Prior experience of vendors/client interaction. Good knowledge of Microsoft Excel/ Word/PowerPoint Must be multi-tasking and a very good team player Strong Analytical and Reporting skills. Key Responsibilities: Responsible for Clients assigned to work on TEM (invoice management) process (from procurement to pay the telecom invoices). Responsible for Clients assigned to interact with the Vendors. Interacting with India team Analysts / US team to resolve any questions arising from Vendor/Client Creation and maintenance of various weekly and monthly reports. Should be willing to work in flexible shifts. Terms and Conditions: Job timing- 12pm to 9.30pm, should be flexible for rotational shift as well Consent - We will be using your resume for job applications open with us for a full-time Appointment and will save them for future reference.

Work as a Credit Risk Consultant on Murex MLC. Configure Risk Settings, Limits, MLC Formulas, Excess Management, and Limits Engine. Write SQL scripts and automate using shell scripting; handle scheduling via Control-M or Autosys. Support testing and deployment activities end-to-end. Liaise with cross-functional teams to implement changes. Provide troubleshooting support and documentation. Skills Must have 4+ years of experience in a similar role. Strong understanding of credit risk exposures and hands-on delivery experience. Familiarity with PFE, xVA, compliance, and collateral practices. Knowledge of IRS, CCS, FX Forward instruments, and pricing. Regulatory exposure: Basel II/2.5/III, SA-CCR, SIMM, FRTB-xVA. Experience with Murex (MLC), Markit, Calypso, or similar tools. Good problem-solving and communication skills. Nice to have MLC-specific configuration knowledge (LRB, Limits Engine). Agile environment exposure. Data validation and reconciliation skills.

Design, build, and maintain scalable and efficient data architectures to support current and future business needs. Ensure data modelling practices align with best practices for maintainability, scalability, and performance. Solve business problems by applying advanced data engineering and complex data transformation techniques on large volumes of data. Stay abreast of the latest technologies and tools in data engineering (e.g., cloud platforms, databases, ETL tools) and lead the evaluation and integration of new solutions. Identify opportunities to implement emerging technologies (e.g., machine learning, AI-driven data management) to enhance data capabilities. Develop, optimize, and manage batch and real-time data ingestion pipelines. Work closely with software engineers and data scientists to ensure seamless integration of data pipelines into the larger system architecture. Automate data validation and monitoring processes to ensure data quality and integrity. Foster a collaborative environment focused on continuous learning, growth, and innovation. Manage the day-to-day operations of the team, setting priorities and ensuring timely delivery of data-related projects. The skills you bring: Strong knowledge of database and data warehousing technologies (e.g., SQL, NoSQL, etc) Strong experience in data engineering or a related field, with a strong focus on designing, developing, and managing large-scale data pipelines and architectures. Proficiency in building ETL/ELT pipelines using python / spark (pyspark). Advanced skills in programming languages such as Python, SQL. Expertise in designing and optimizing data models and complex SQL queries for high-volume systems. Strong problem-solving abilities, with a focus on diagnosing and resolving complex data engineering challenges. Relevant certifications in data engineering, cloud platforms (e.g., AWS, GCP, Azure), or big data technologies (e.g., Hadoop, Spark) are a plus. Experience in HANA, Snowflake and other database system.

Join our Team About this opportunity: We are now looking for a Senior Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence. Provide data science tasks, perform advanced statistical analysis, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable. What you will do: Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesize problems into data questions. Convert data into practical insights. Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders. Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction. Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data. Develop Data Science and Engineering Infrastructure &Tools. Derive key metrics suitable for the use-case and present the analysis to key stakeholder. The skills you bring: 5-10 years of relevant Industry experience. A bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyze data and communicate outcome to key stakeholders exploring new data source. Excellent coding skills in python, R, SQL etc. Understanding of cloud services. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field. A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding. Experience in large scale product development is a plus. Exposure to Generative AI and Large Language Models. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Bangalore Req ID: 766533

Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Do you want to be the go-to resource for data analytics in the company The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects Provide 1st level insights / conclusions / assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Lead, mentor and guide more junior team members. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Bring your Passion and Expertise All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, Databricks a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor s or Master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 4+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Associate Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 2+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

We are actively seeking a Workday Finance Consultant with deep expertise in Accounting Center and Workday Prism Analytics to support complex data transformation and financial reporting initiatives. This role will focus on building, optimizing, and supporting data pipelines and reporting structures that enhance financial visibility and control across the enterprise. This is a fully remote contract position, with a preference for candidates located in Chennai, Bangalore, or Kochi. Key Responsibilities: Lead the design and configuration of Workday Accounting Center , including source data transformation, journal line generation, and mapping strategies. Build and maintain Prism data pipelines to support advanced financial reporting, regulatory compliance, and operational dashboards. Collaborate with data owners and finance stakeholders to gather requirements, translate them into technical specifications, and deliver scalable analytics solutions. Develop calculated fields, derived datasets, and secure data catalogs within Prism. Perform data validation, reconciliation, and testing to ensure data integrity and alignment with financial reporting standards. Troubleshoot issues related to Accounting Center loads, Prism reporting, and integrations with external systems. Required Qualifications: 4+ years of experience in Workday Financials , with at least 2 years of hands-on experience in Accounting Center and Prism Analytics . Strong understanding of journal processing, source system data transformation, and financial data modeling. Experience creating advanced reports, calculated fields, and datasets within Workday Prism. Familiarity with Workday integration tools (EIBs, Studio, or Core Connectors) for data ingestion. Strong analytical mindset with attention to data accuracy and compliance. Excellent communication and collaboration skills across technical and finance teams. Preferred Skills: Prior experience working with large enterprise or higher education clients. Workday certifications in Financials, Accounting Center, or Prism Analytics. Experience integrating third-party systems with Accounting Center.

Job Area: Engineering Services Group, Engineering Services Group > Engineering Operations General Summary: About The Role : The successful candidate will be responsible for managing HW related tasks (including, but not limited to demand forecast, build planning, allocation and distribution, etc.) for SW engineering teams across multiple chipset programs. Responsibilities include: Manage hardware demand for organizations through efficient collaboration and coordination across multiple development sites and cross-functional departments/teams. Negotiate demand from engineering leads, provide a consolidated report and analytical justification for budget approval. Analyze supply to identify and resolve shortages and broadcast appropriate notifications to engineering leads. Generate hardware related reports using a variety of tools for input and output. Develop scripts/tools that automate the consolidation of demand, generate reports, and publish accurate dashboards. Identify process improvements and implement/drive efficiency enhancements. Develop pertinent program indicators to push information to internal teams and management. Understand project constraints, consolidate these challenges and then recommend solutions. Identify technology teams impacted by silicon, hardware board layout, and/or software changes as well as collaborates with them to adjust their hardware accordingly. Represent engineering in weekly supply meetings to provide technical justification for driving builds on certain configurations. Preferred Qualifications Master's degree in Business, Computer Science, Engineering, Information Systems, or related field. PMP Certification. Intermediate to advanced knowledge of analytical SW tools such as MS Excel (Pivot table, formulas and Power Query) and PowerApps. 2+ year of experience with technical project management including managing resources, mitigating risk, etc. 2+ year of experience with business metrics such as customer support tickets, KPIs, etc. 2+ year of experience working in a large matrixed organization. 3+ years of embedded software development/testing experience. 3+ years of embedded hardware design/validation experience Minimum Qualifications: Bachelor's degree in Business, Engineering, Science, or related field. OR Associate's degree and 2+ years of relevant work experience. OR High School Diploma or equivalent and 4+ years of relevant work experience.