2484 Data Quality Jobs - Page 35

As a Senior Data Research Analyst , you will be responsible for acquiring and validating portfolio holdings data from various vendor sources. Your core responsibilities will involve standardizing this data into agreed formats using internal collection tools and resolving exceptions through thorough validation processes. Working within the Portfolio Data Team, your role will focus on ensuring the accuracy and completeness of portfolio information, which is critical for downstream analytics and reporting. You will collaborate closely with leadership and cross-functional teams to support strategic goals, enhance operational performance, and contribute to the achievement of key KPIs. Shift: UK/AU /US Roles Responsibilities: Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals. Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors. Partner with quality assurance, products, and technical departments to resolve clients data issues timely and effectively. P articipat e in the initiative s focused on consolidating global data collection platforms and supporting database integration projects. Establish and achieve the set O bjectives K ey R esults (OKRs) with the direction of team lead. Monitor, analyze and execute summary reports including an investigation of potential data error to c ontinuously improve data collection and quality assurance process using L ean S ix S igma tools. Actively discover and raise issues in work (including system, process, and collection methodology ) and propose enhancement suggestions to further improve system functionality, process efficiency and data quality. Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc. Facilitate cross-team projects to implement approved solutions based on priority and impact . Demonstrate a high sense of ownership of the process , u nderstand roles responsibilities by act ing as a process trainer and mentor Requirements: > 3 years experience in finance domain , w ith emphasis on collection systems and methodologies, senior data research analyst role or above . Fund Portfolio experience would be preferred G ood command i n MS Office (Excel, PowerPoint etc.); advanced users preferred. SQL, Macro or Python and machine learning will be a plus. Should be critical thinker and should possess good communication skill . Should be equipped with understanding of data competencies like data content expertise , data analysis etc. Strong analytical, problem-solving capabilities, and excellent communication written as well as verbal reporting skills. Should be a good team player with good learning ability and equipped with self-motivation in an independent, fast-paced work environment. Ability to exercise control over the planned activities like training / mentoring new hires, doing quality checks etc . Able to work under tight deadlines and handle pressure during peak seasons. Good project management skills with proven track record of working on and delivering projects independently. Remote team working experience is a plus . Flexibility to work in shifts.

Diverse Lynx is looking for ETL Test Engineer to join our dynamic team and embark on a rewarding career journey Responsible for ensuring the accuracy, completeness, and efficiency of the ETL process used to transfer data from one system to another The primary duties of an ETL Test Engineer may include:1 Developing ETL test cases and test plans that ensure data quality, accuracy, and completeness 2 Conducting functional and non-functional testing of ETL processes to validate the integrity of the data being transferred 3 Identifying and documenting defects, issues, and potential improvements in the ETL process and sharing them with the development team 4 Creating and maintaining ETL test environments that simulate production environments for testing purposes 5 Conducting load testing to measure the scalability and performance of ETL processes under different workloads 6 Conducting regression testing to ensure that changes made to ETL processes do not introduce new defects or issues 7 Developing and maintaining test automation scripts to improve the efficiency of ETL testing To perform the role of an ETL Test Engineer effectively, candidates should possess strong analytical, problem-solving, and communication skills, as well as experience with ETL testing tools and technologies, such as SQL, ETL testing frameworks, and test automation tools

Diverse Lynx is looking for Power BI Professional to join our dynamic team and embark on a rewarding career journey Responsible for designing, developing, and implementing business intelligence solutions using Power BI, a data visualization and reporting tool from Microsoft Connecting to and integrating data from various sources, including databases, spreadsheets, and cloud services Designing and creating data models, dashboards, reports, and other data visualizations Enhancing existing Power BI solutions to meet evolving business requirements Collaborating with stakeholders to understand their data needs and requirements Building and maintaining data pipelines and ETL processes to ensure data quality and accuracy Developing and implementing security and access control measures to ensure the protection of sensitive data Troubleshooting and resolving issues with Power BI solutions Documenting and communicating solutions to stakeholders Excellent communication, analytical, and problem-solving skills

Grade G - Office/ CoreResponsible for delivering business analysis and consulting activities for the defined specialism using advanced technical capabilities, building and maintaining effective working relationships with a range of stakeholders, ensuring relevant standards are defined and maintained, and managing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Finance ITS Group The Master Data Solution Manager for Master Data Governance (MDG) supervises the implementation and management of SAP MDG processes. This role involves crafting and driving data mastering strategies, standardizing master data across domains like Finance, Vendor, Customer, and Material Master. The lead collaborates with business collaborators, Technology, Data Quality and MDG GPO, to embed MDM strategy in decision-making and ensure data policy compliance. They develop expertise in SAP master data processes, work with data operations and governance teams and advise on standard processes. A key objective is implementing SAP Master Data objects in S4 Hana and preparing architecture for phased launch by following a thumb rule of Fit to Standard approach and keeping the core clean ! WHAT YOU WILL DELIVER Solution Design and Architecture: Develop both end-state and interim-state architecture for master data, ensuring alignment with business requirements and industry standard processes. Define and implement data models that align with business needs and assemble requirements for master data structures. Craft scalable and maintainable data models by ensuring data creation through single source of truth. Ensure detailed integration of master data across systems with vital collaboration with IT, business Team and respective GPOs Ensuring maintenance of high data standards throughout the implementation of data quality rules and critical metrics Customer Engagement: Lead discussions with system integrators and key collaborators articulating the architecture vision and ensuring their consensus and dedication. Lead project work, timelines, and resources (Maintain project plans and schedules, Coordinate with multi-functional teams Report project progress and risks. Lead and deliver the usage of MDG key functionalities - Master data consolidation, Data Quality Management (DQM), and central governance Offering data harmonization and standardization solutions to unify multiple ERPs under S/4. Defining the approach of Master data Governance implementation by ensuring Data is compliant, trusted and crafted through single source of truth Data Governance: Establish and implement data governance standards to maintain data quality, integrity, and security across supplier and finance master data. Continuous Improvement: Find opportunities for continuous improvement in master data processes and systems to improve efficiency and effectiveness! EXPERIENCE AND QUALIFICATIONS Proven track record predominantly in data related disciplines such as Master Data Governance (MDG), SAP master Data understanding (upstream and downstream) and data quality in oil and gas or financial services domain. Experience of implementing data governance in SAP environment for master data. Demonstrable experience in leading Master data solutioning to implement S/4 Hana Green field. Strong knowledge on SAP peripheral systems and good understanding Upstream and downstream impact. Excellent project management and leadership skills Solid grasp of Master data attributes and its impact Strong analytical and problem-solving abilities. Superb communication and customer management skill. The role requires collaboration with various teams and customers to drive and prepare to be and interim state solutioning. Deep knowledge of SAP ERP and associated data structures. Experience of driving large, multi-year transformational change across multiple geographies across multiple data domains. Leadership skills required for steering meetings from an FDO Data Management perspective and addressing current practices. Ability to influence senior customers for data transformation agenda. Soft skills: Active listening, communication and partnership, presentation, Problem solving, Team management, Customer management. Other: Project management. Domain knowledge [Procurement, Finance, Customer], Critical thinking, Story telling. Stay updated with industry trends, standard methodologies and new technologies in data management, data analytics space.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Your Way to Impact As a Principal Machine Learning Engineer, you ll lead mission-critical initiatives that define PayPal s AI edge from large-scale model fine-tuning to the architecture of foundational AI systems. Your leadership will enable AI-native capabilities across personalization, fraud detection, customer experience, and internal productivity. You will shape how PayPal delivers trust, speed, and intelligence in every user interaction. Meet Our Team You ll work within the core Applied Intelligence team, a cross-functional hub driving AI-first innovation across PayPal s product and platform landscape. Your team s work powers smarter workflows and more seamless experiences for our global customer base. This is a hands-on leadership role where you ll help align strategy, technology, and business outcomes. Job Description: Your Day to Day Define and drive strategic vision for model development and ML applications across business domains. Lead architecture and experimentation for foundational model pipelines. Manage end-to-end lifecycle from data prep and training to deployment and monitoring. Collaborate with product, infra, and engineering leaders to ship impactful solutions. Guide model evaluation frameworks, bias detection, and performance monitoring practices. Mentor technical leads and contribute to thought leadership internally and externally. What You Need to Bring Minimum of 15 years of relevant experience with a Bachelor s degree or equivalent. Deep expertise in building and fine-tuning advanced ML models at scale. Strong experience with cloud-native ML solutions (e.g., SageMaker, Vertex AI). Proven success in leading multi-functional ML projects from research to production. Strong communication and strategic planning abilities to align tech with business. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Project Role : Service Management Practitioner Project Role Description : Support the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : Microsoft Power AppsMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Service Management Practitioner, you will support the delivery of programs, projects, or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Coordinate the delivery of programs, projects, or managed services.- Develop and maintain relationships with key stakeholders and sponsors.- Ensure high levels of commitment from stakeholders.- Enable strategic agenda through effective coordination.- Provide regular updates and reports on project progress. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI).- Good To Have Skills: Experience with Microsoft Power Apps.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft Power Business Intelligence (BI).- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

JD for Power Bi. Key Responsibilities: Develop and Maintain Power BI Reports and Dashboards: Create visually compelling and interactive dashboards and reports based on business requirements, ensuring accuracy and consistency. Data Modeling and DAX: Design and implement efficient data models, utilizing DAX (Data Analysis Expressions) for calculations and measures. Data Transformation and ETL: Extract, transform, and load (ETL) data from various sources (SQL, Excel, APIs, etc.) using Power Query, ensuring data quality and integrity. Performance Optimization: Optimize Power BI solutions for performance and scalability, ensuring quick report loading and efficient data processing. Security and Access Control: Implement row-level security (RLS) and other security measures to protect sensitive data. Collaboration and Communication: Work closely with business stakeholders to understand requirements, translate them into technical specifications, and communicate findings effectively. Technical Documentation: Maintain technical documentation related to Power BI reports and workflows. Continuous Learning: Stay updated with the latest Power BI and Microsoft analytics features and best practices. Integration with Other Tools: Potentially integrate Power BI with other tools like Azure, Power Automate, Power Apps, and Python-based scripts when needed. SQL and Data Warehouse Expertise: Strong expertise in back-end database development (i.e., Microsoft SQL) and experience with data warehousing concepts.

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job - no more, no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time matching the scale, velocity, and changing needs of today s cloud-oriented, modern enterprise. About the role: We are seeking a dynamic and experienced Director of Data Governance and Operations to lead our data governance and data quality initiatives . Reporting to the VP of IT, this leadership role will be pivotal in driving data-driven decision-making across our Go-To-Market (GTM) operations and Finance organizations. The ideal candidate will possess a deep passion for data governance, a proven track record of developing and executing successful data quality strategies, and a strong understanding of how data fuels AI innovation. Essential Duties and Responsibilities Develop and champion a comprehensive data strategy aligned with SailPoint s overall business objectives , with a particular focus on GTM and Finance. Establish and maintain a robust data governance framework, including policies, standards, and procedures, to ensure data quality, accuracy, and compliance. Partner with GTM and Finance leadership to identify data needs, develop data solutions, and drive the adoption of data-driven insights to improve performance. Lead efforts to monitor and improve data quality across key systems and data sources, implementing data cleansing and validation processes. Ensure data readiness for AI initiatives, collaborating with Enterprise Applications and D ata E ngineering teams to prepare and structure data for AI model development and deployment. Salesforce Expertise: Leverage in-depth knowledge of Salesforce to optimize data management, reporting, and analytics within the platform. Build, mentor, and manage a high-performing team of data professionals, fostering a culture of collaboration, innovation, and continuous improvement. Collaborate effectively with stakeholders across IT, GTM, Finance, and other departments to ensure alignment on data strategy and priorities. Stay abreast of emerging trends in data management, AI, and analytics, and identify opportunities to leverage new technologies to enhance SailPoint s data capabilities. Required Qualifications 15 + years of experience in data management, data governance, or data strategy roles, with increasing levels of responsibility. Proven track record of developing and executing successful data strategies for GTM operations and Finance. Strong experience with Master Data Management (MDM) Deep understanding of data governance principles , practices , tools, and technologies. In-depth knowledge of Salesforce data model, reporting, and analytics capabilities. Experience with Salesforce administration. Strong understanding of AI and machine learning concepts, and the importance of data readiness for AI. Excellent leadership, communication, and interpersonal skills. Ability to influence and collaborate effectively with stakeholders at all levels of the organization. Experience building and managing high-performing teams. Strong analytical and problem-solving skills. Salesforce certifications are highly desirable. Bachelor s degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics). What success looks like 30-Day Plan (Orientation and Integration): Objective: Establish foundational knowledge and integrate into the team. Training Learning: Intr oduction to SailPoint Enterprise Systems and Data Platform Review company policies, procedures, and compliance requirements Roles Responsibilities: Understand job expectations, key performance indicators (KPIs), and deliverables. Review IT team structure and individual roles Review GTM and Finance team structure and roles and responsibilities of key stakeholders Relationship Building: Meet team members, key stakeholders, and cross-department colleagues. Participate in onboarding activities and one-on-one meetings with IT leaders . Immediate Contributions: Assess and compile problem statement on data governance and data quality Assess and compile data flow diagrams for the key GTM and Finance metrics Assist with data requests to get familiar with SailPoint internal data needs , e.g. ACV/ARR Initiate recruiting of data analyst 60-Day Plan ( Data Leadership and Strategic Thinking ) Objective: Expertise on SailPoint business data and define strategy for data governance and data quality Establish structure and recurring cadence with key business stakeholders and IT system owners on data governance Define SailPoint Master Data and process to ensure data integrity Establish metrics to measure data quality Recommend industry best practice for data governance and data quality De fine roadmap Data Governance and MDM initiatives Data repository and metadata for AI Project Involvement: SailPoint ARR/ACV Reporting Data found ation for AI Team Building and Relationship Building : Complete recruiting of new data analyst Demonstrate ability to engage business and IT stakeholders and partnership on key data initiatives 90 -180 Day Plan ( Execution on Roadmap ) Objective: Establish leadership and make impact to key data initiatives Data Quality Complete the top 2 initiatives for data quality for Salesforce Data Governance and MDM Publish the master data definition and framework Collaborate with business stakeholders and IT system owners to implement system validation and business operations to ensure data integrity AI Collaborate with IT system owners and Data Engineering team to build metadata for AI consumption Deliver data for AI model training and AI search Validate the AI output to ensure accuracy

Join us as a Assistant Vice President -Financial Control, where youll play a pivotal role in accountable for timely accurate month-end close process for compensation and benefits across business clusters functions. At Barclays, we dont just adapt to the future - we create it. This includes bonus accounting for discretionary bonus and share based payments, accounting for post-retirement benefits and redundancy costs. You will be responsible to manage external disclosures in Annual report and notes to financial statements for staff costs share based payments and pensions . To be successful in this role, you should have: Qualified Accountant - ACA, CIMA, ACCA or MBA (Finance). Experience in Financial Reporting, Financial and regulatory reporting controls. Strong knowledge of Finance, regulatory reporting. Highly motivated self-starter and Strong planning organizational skill. Strong Excel and presentation skills. Require producing different set of MI/decks thus would require knowledge of PowerPoint and analytical mind-set. Strong control awareness, Analytical and problem-solving skills. Strong communication - verbal and written, role demands frequent interaction with senior management. Some other highly valued skills may include: Confident and assertive manner. Develops relationships and manages stakeholder s expectations professionally Displays integrity, initiative, commitment, and credibility through interactions with colleagues and clients Eye for detail and exception track record in managing and resolving conflict situations Works well in a team and maintains good relations with team members. Shows enthusiasm and diligence and ensures team motivation is optimized. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of Noida. Purpose of the role To understand, assess, and manage climate-related financial risks by combining financial expertise . and understanding of climate change. Support the Bank in enhancing disclosures and meeting regulatory demands. Provide data and insights that inform decision-making and support the banks transition to a low-carbon economy. Accountabilities Support the development of the banks climate-related financial strategy, including risk management strategies, investment strategies, and climate action plans. Identification, assessment, and analysis of climate-related financial risks, and the development of risk assessment methodologies and tools to measure and monitor climate-related financial risks. Management of climate-related data and governance around data quality to enable measurement of the impact of climate change on the Bank s financial position and climate strategy. Preparation and review of climate-related disclosures, and communication of climate related financial risk to senior colleagues and investors. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Applause is raising the bar for digital quality and employee experience. Recognized as a Top Workplace, Applause provides award-winning software testing and UX research solutions to top brands. Our fully managed services leverage a global team and the worlds largest independent testing community. We improve digital experiences for global innovators like Google, Microsoft, PayPal, Starbucks, Vodafone, and BMW. As a Business Intelligence Analyst you will be part of our global Data and Analytics team. This position will play a key role in maintaining and enhancing our enterprise business intelligence environment. This individual will form relationships with subject matter experts across the company and business leaders to help enhance business decisions and reporting capabilities by having a strong data background. The right candidate will exhibit outstanding data understanding, a drive to learn new systems and business data, and the ability to thrive in a fast-paced, and sometimes ambiguous, work environment. . Key Responsibilities: Must be able to work 9am-1pm EST Collaborating with business users and stakeholders to understand their data analysis and reporting requirements. Identifying the key metrics, dimensions, and data sources needed for the Qlik applications. Designing and implementing the data model within the Qlik environment. This includes extracting, transforming, and loading (ETL) data from various sources, creating data connections, and defining relationships between data tables. Developing interactive dashboards, visualizations, and reports using Qliks data visualization tools. Designing and implementing user-friendly interfaces that allow users to explore data, apply filters, and drill down into details. Writing and maintaining Qlik scripting to load and transform data from different sources. This involves data cleansing, aggregation, joining tables, and implementing complex calculations or business logic. Writing, modifying, testing, and verifying SQL queries based on business requirements. Optimizing Qlik applications for performance and efficiency. Identifying and resolving issues related to data model design, data loading, scripting, or visualizations to ensure optimal application responsiveness and speed. Conducting thorough testing of Qlik applications to ensure data accuracy, functionality, and performance Documenting the design, development process, and application functionalities for future reference in Jira and internal training documentation Creating user guides and providing training to end-users on how to use the Qlik applications effectively. Designing and building complex BI solutions that have a global perspective, but can be flexible for regional-specific requirements. Working with colleagues across the company to obtain requirements, business logic, and technical details for BI solutions. Determining and scheduling data jobs during optimum business hours. Working closely with and collaborating with team members on initiatives. Maintaining high standards of data quality and integrity. Taking lead on projects, but collaborating with team members. Job Requirements and Preferred Skills: 5+ years working with Qlik Sense, Qlik View, or Qlik Cloud, other BI tool experience may be considered. 5+ years of Business Intelligence experience 5+ years of SQL writing experience Experience with Fivetran, Snowflake, Hightouch, Informatica, or other related tools is a plus Strong analytical skills to troubleshoot databases and data issues and identify and solutions. A clear sense of urgency and a desire to learn. Ability to manage communications effectively with various cultures and across multiple time zones across the globe. Excellent organizational, analytical, problem-solving and communication skills. Team player with solid communication and presentation skills. Why Applause We re proud to cultivate an inspiring, engaging employee culture that s consistently reflected in high employee retention rates and satisfaction. Our talented team known as Applause Nation is set up for success with the latest collaboration and learning tools, opportunities for career advancement, and more. We have a flexible work environment with top talent from across the globe Collaborate with an international team of 450+ passionate, talented co-workers Expand your portfolio with exciting, hands-on projects providing exposure to well-known, global brands Learn and grow through structured onboarding, in-house knowledge sessions and access to thousands of virtual courses available on demand Incorporate AI and other exciting technologies into your work, to help you prioritize and boost productivity Experience a supportive culture that emphasizes teamwork, innovation and transparency Share your voice! Contribute and integrate creative and innovative ideas across roles and departments Applause Core Values: As a global employee community, we strive to uphold the following core values, which are critical to business success and how we measure individual and team performance. Do you share our core values Be Accountable: You love to take ownership, and hold yourself and others accountable to increase empowerment and success. Celebrate Authenticity: You love bringing your true self to work and creating genuine and trustful relationships within a diverse environment. In It Together: You have a team-first mindset and love collaborating with your peers. Create Value for Our Customers: You love delivering meaningful business impact and being a release partner for all aspects of digital quality. Crush Your Goals: You always strive for excellence and constantly seek ways to be better, more effective and more efficient. #LI-DA1

Job Title: Senior AI Engineer Location: Bengaluru, India - (Hybrid) At Reltio , we believe data should fuel business success. Reltio s AI-powered data unification and management capabilities encompassing entity resolution, multi-domain master data management (MDM), and data products transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud delivers interoperable data where and when its needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our Customer First , we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It . Every day, we innovate and evolve, so that today is Always Better Than Yesterday . If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let s talk! Job Summary: As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale. You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform. This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment . Job Duties and Responsibilities: Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection. Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines. Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow , with seamless integration into production systems. Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models. Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies. Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias. Actively contribute to research and experimentation efforts, staying updated with latest AI trends in graph learning, NLP, probabilistic modeling , etc. Document designs and present outcomes to both technical and non-technical stakeholders , fostering transparency and knowledge sharing. Skills You Must Have: Bachelor s or Master s degree in Computer Science, Machine Learning, Artificial Intelligence , or related field. PhD is a plus. 5+ years of hands-on experience in developing and deploying machine learning models in production environments. Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools ( Spark, Kafka, Airflow ). Strong understanding of ML fundamentals , including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics. Demonstrated experience working with entity resolution, identity graphs, or data deduplication . Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Strong debugging, analytical, and communication skills with a focus on delivery and impact. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science Skills Good to Have: Experience with knowledge graphs, graph-based ML, or embedding techniques . Exposure to deep learning applications in data quality, record matching, or information retrieval . Experience building explainable AI solutions in regulated domains. Prior work in SaaS, B2B enterprise platforms , or data infrastructure companies . Why Join Reltio* Health Wellness: Comprehensive Group medical insurance, including your parent,s with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which include Sick leaves - 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile Internet Reimbursement No need to pack a lunch we ve got you covered with a free meal. And many more ..

you ll be our : Technician - Vehicle Engineering you ll be based at : IBC Knowledge Park, Bengaluru you ll be Aligned with : VD Attribute Engineer you ll be A member of: Vehicle Dynamics MBS in Simulation CoC What you ll do at Ather: Ather Energy has proved itself to be the hallmark and the synonym for Smart,Connected and Intelligent Electric Vehicles in India. Today we are on a journey of exponential growth and marking our presence across the length and breadth of Indian roads. Continuing this journey further means massive ramping up of production and developing many more top-notch products to redefine and upgrade Customers Experience in India. We dont design just products, rather we design and develop \\Product Experience\\for which we have to design non-conventional Platforms. One such experience we work on and boast about is Robust Handling and Comfort performance of our vehicles. Engineering the product to target nothing but the best attributes while it is going through the design cycle and monitor the impact any system/component can have on Vehicle dynamics and have a risk assessment and mitigation plan around it is what our VD team holds the fort for. The Technician will support various test and development activities related to vehicle handling, stability, ride comfort, and overall dynamic performance. Additional responsibility would be to support other Vehicle Engineering teams for various components developments/testing. This role will be instrumental in building, instrumenting, testing, and acquiring crucial vehicle performance data to facilitate engineering analysis and product development. As our VD Technician, you ll : - Vehicle Build Preparation Assemble, modify, and prepare prototype and production-level vehicles for vehicle dynamics testing. Install and adjust suspension, steering, tires, and other dynamic components as per engineering instructions. Conduct pre- and post-test inspections to ensure vehicle integrity and safety compliance. Instrumentation Equipment Setup Data Collection Processing Assist engineers in running test procedures and acquiring vehicle dynamics data during various tests (track, lab, and road conditions). Utilize data acquisition tools to collect, monitor, and verify data quality. Perform basic filtering and preliminary analysis of collected data for engineer review. Riding On-Vehicle Testing Participate in on-vehicle dynamic testing as a co-driver or support rider where required. Support riders during test runs, log test conditions, and observe vehicle behavior for further analysis. Here s what we are looking for: Familiarity with vehicle systems, especially suspension, steering, brakes, and ride dynamics. Ability to use and troubleshoot data acquisition systems and sensors. Basic understanding of vehicle testing procedures and safety requirements. A team player with a proactive and organized approach. You bring to Ather: Diploma / ITI / Associate Degree in Automotive Technology, Mechanical Engineering, or a related field . 4+ years of relevant automotive technician experience, preferably in vehicle dynamics or chassis development. Hands-on experience with instrumentation, vehicle setup, or driving/riding support during vehicle testing is preferred. you ll be collaborating with: Mechanical, Electrical, Powerelectronics Design Teams, Testing Team, different Simulation CoC divisions, Product managers and Program Managers ,\

We support a fast-paced environment where each day brings new challenges and opportunities. As a Support Engineer, you will play a pivotal role in ensuring the stability, compliance, and operational excellence of our enterprise Data Warehouse (DW) environment. In this role, you will be responsible for monitoring and maintaining production data pipelines, proactively identifying and resolving issues that impact data quality, availability, or timeliness. You ll collaborate closely with data engineers and cross-functional teams to troubleshoot incidents, implement scalable solutions, and enhance the overall resilience of our data infrastructure. A key aspect of this role involves supporting our data compliance and governance initiatives, ensuring systems align with internal policies and external regulatory standards such as GDPR. You will help enforce access controls, manage data retention policies, and support audit readiness through strong logging and monitoring practices. You ll also lead efforts to automate manual support processes, improving team efficiency and reducing operational risk. Additionally, you will be responsible for maintaining clear, up-to-date documentation and runbooks for operational procedures and issue resolution, promoting consistency and knowledge sharing across the team. We re looking for a self-motivated, quick-learning team player with a strong sense of ownership and a can-do attitude, someone who thrives in a dynamic, high-impact environment and is eager to make meaningful contributions to our data operations. 2+ years of software development, or 2+ years of technical support experience Bachelors degree in engineering or equivalent Experience troubleshooting and debugging technical systems Experience scripting in modern program languages Experience with SQL databases (querying and analyzing) Good to have experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/Spark etc Good to have experience with reporting tools like Tableau, OBIEE or other BI packages. Knowledge of software engineering best practices across the development lifecycle is a plus

Job Description As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results

Job Description As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fie

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

DataArchitecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. DataModeling:Createand managelogical, physical, and conceptual data models to support various business applications and analytics. DatabaseDesign: Design and implement database solutions, including data warehouses, data lakes, and operational databases. DataIntegration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. DataGovernance:Implementand enforce data governance policies and procedures to ensure data quality, consistency, and security. TechnologyEvaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world s leading brands Documentation:Createand maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. PerformanceTuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Requirements: Helpingproject teams withsolutions architecture,troubleshooting, and technical implementation assistance. Experiencewithbig data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertisewithcloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledgeofdataintegration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understandingofdatawarehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experiencewithdata governanceframeworks and tools.

Role Purpose The Assistant Manager will play a critical role in supporting the Manager/Senior Manager by delivering accurate, timely, and insightful management information to a variety of stakeholders including Global Finance Corporate teams, Regional and Hotel users, and the Finance Decision Support teams. They will have a proactive mindset, strong analytical capabilities, and a passion for leveraging new technologies including AI tools to drive efficiency and add value through smarter ways of working. Key Accountabilities 1.Ensure timely and accurate loading of data from multiple sources into the reporting systems or dashboards. Applications include those used for IHG and Hotel Management reporting of actuals, budgets, forecast as well as those used for other analytical needs. 2.Validate incoming data for completeness, consistency, and accuracy according to defined rules and business logic. 3.Responsible for organization/outline changes and coordination of those changes with Finance Decision Support, along with SOX/Audit controls and sign-off. 4.Perform regular data audits to maintain data integrity and identify anomalies. 5.Assist in the automation and streamlining of regular reports using tools like GCP, Kyvos, Tableau etc 6.Translate business requirements into meaningful reports and insights for decision-makers. 7.Act as the first point of contact for stakeholders (internal customers) using reporting tools and data outputs. 8.Provide training, guidance, and troubleshooting support on tools 9.Gather feedback and requirements from users to improve existing tools and reporting processes 10.Identify opportunities for process improvements in data handling, validation, and reporting workflows 11.Collaborate with Production Support/GT Development teams to implement enhancements and ensure data infrastructure supports business needs 12.Maintain clear documentation of data sources, processes, validation rules, and issue logs 13.Communicate technical concepts and data insights in a clear, business-friendly manner 14.Ensure delivery of high-quality, accurate data and reports within agreed timelines. 15.Proactively flag issues that might delay delivery and suggest mitigation strategies 16.Train/coach less experienced team members of Data Solution team. 17.Responsible for global passback adjustments in Essbase. 18.Assist in the year end application rollover process and on other global projects as required. Key Skills & Experiences Education Degree in Accounting, Finance, Business, or international equivalent Experience 5+ years experience along with team handling in a management accounting or reporting position, preferably including hotel reporting and forecasting Technical Skills and Knowledge Experience in data extraction, transformation, and loading (ETL) from various systems or databases. Proven track record of working with large data sets, identifying data quality issues, and applying validation rules. Familiarity with data governance, data accuracy, and reconciliation processes. Exposure to KPIs, metrics, and performance dashboards, preferably in finance Strong analytical skills to derive insights from data and highlight issues Advanced Excel skills (pivot tables, lookups, macros, Power Query). Exposure to ERP systems (e.g.Oracle, PeopleSoft) and data warehousing concepts is a plus Experience supporting internal stakeholders with reporting tools and data-related queries Ability to translate business requirements into reporting logic and data models Strong communication skills to explain data issues or report logic to non-technical users Practical knowledge of automating reports and reducing manual intervention in data handling processes. Experience in identifying process inefficiencies and implementing improvements using tools or scripting. Familiarity with key metrics used in that function can help tailor reports more effectively Role Purpose The Assistant Manager will play a critical role in supporting the Manager/Senior Manager by delivering accurate, timely, and insightful management information to a variety of stakeholders including Global Finance Corporate teams, Regional and Hotel users, and the Finance Decision Support teams. They will have a proactive mindset, strong analytical capabilities, and a passion for leveraging new technologies including AI tools to drive efficiency and add value through smarter ways of working. Key Accountabilities 1.Ensure timely and accurate loading of data from multiple sources into the reporting systems or dashboards. Applications include those used for IHG and Hotel Management reporting of actuals, budgets, forecast as well as those used for other analytical needs. 2.Validate incoming data for completeness, consistency, and accuracy according to defined rules and business logic. 3.Responsible for organization/outline changes and coordination of those changes with Finance Decision Support, along with SOX/Audit controls and sign-off. 4.Perform regular data audits to maintain data integrity and identify anomalies. 5.Assist in the automation and streamlining of regular reports using tools like GCP, Kyvos, Tableau etc 6.Translate business requirements into meaningful reports and insights for decision-makers. 7.Act as the first point of contact for stakeholders (internal customers) using reporting tools and data outputs. 8.Provide training, guidance, and troubleshooting support on tools 9.Gather feedback and requirements from users to improve existing tools and reporting processes 10.Identify opportunities for process improvements in data handling, validation, and reporting workflows 11.Collaborate with Production Support/GT Development teams to implement enhancements and ensure data infrastructure supports business needs 12.Maintain clear documentation of data sources, processes, validation rules, and issue logs 13.Communicate technical concepts and data insights in a clear, business-friendly manner 14.Ensure delivery of high-quality, accurate data and reports within agreed timelines. 15.Proactively flag issues that might delay delivery and suggest mitigation strategies 16.Train/coach less experienced team members of Data Solution team. 17.Responsible for global passback adjustments in Essbase. 18.Assist in the year end application rollover process and on other global projects as required. Key Skills & Experiences Education Degree in Accounting, Finance, Business, or international equivalent Experience 5+ years experience along with team handling in a management accounting or reporting position, preferably including hotel reporting and forecasting Technical Skills and Knowledge Experience in data extraction, transformation, and loading (ETL) from various systems or databases. Proven track record of working with large data sets, identifying data quality issues, and applying validation rules. Familiarity with data governance, data accuracy, and reconciliation processes. Exposure to KPIs, metrics, and performance dashboards, preferably in finance Strong analytical skills to derive insights from data and highlight issues Advanced Excel skills (pivot tables, lookups, macros, Power Query). Exposure to ERP systems (e.g.Oracle, PeopleSoft) and data warehousing concepts is a plus Experience supporting internal stakeholders with reporting tools and data-related queries Ability to translate business requirements into reporting logic and data models Strong communication skills to explain data issues or report logic to non-technical users Practical knowledge of automating reports and reducing manual intervention in data handling processes. Experience in identifying process inefficiencies and implementing improvements using tools or scripting. Familiarity with key metrics used in that function can help tailor reports more effectively

Company: Description: Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office: Senior Principal Engineer - Data Science We will count on you to: Design and implement data analytics products to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around Power BI/LLM/RAG will be preferred What you need to have: Bachelor s degree in engineering / Analytics or Master s Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics. 2-5 years of progressive experience in Data Science Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools -Power BI Technical expertise with data models, data mining, and segmentation techniques Strong consulting experience and stakeholder management Basic to intermediate visualization experience in Power BI Excellent with data understanding, transformation and EDA Keenness and urgency to learn about the Marsh and the business unit s business, and insurance industry in general What makes you stand out Should have an aspiration to learn and grow. Strong communication skills with an ability to work in a team. Should be able to work as a Team-player and adopt changes without hesitation. A commercial sense to apply proportionality to the depth of analytics used versus desired output. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

YourStory is Indias largest Media Tech company for Startups, Entrepreneurs, Investors and Change-makers. With more than 10 million users every month, a repository of 200,000+ stories partnerships with 200+ brands, it has established itself as a leading player in this space. YourStory s portfolio of brands includes The CapTable, HerStory and YS Life amongst others. About the role YourStory seeks to onboard entrepreneurial folks excited about high-ownership roles in a fast-paced environment. In this role of Lead Analyst, you will be the custodian of all things data and will be working closely with various stakeholders within YS. You would own the entire data journey from building data warehouses, ensuring data sanctity, building reporting systems, providing the right insights and deep user understanding for content/business performance, social media analytics and product analytics while working with multiple stakeholders within YourStory which will help you grow learn. Key Responsibilities Cross-functional collaboration for Insights Data-Driven/Informed Growth Collaborate with key teams Product, Tech, Editorial, Sales, Operations, Social Media Marketing and Growth to deliver data-driven insights that optimize content performance, improve user experience and foster business growth. Social Media Analytics Explore social media metrics to uncover trends, measure ROI, and identify growth opportunities to craft data-driven strategies for enhancing digital presence. Proficiency in Advanced Analytical Tools Leverage tools like BigQuery, GCP, Redash, AWS, Piano and Google Analytics to gather and interpret data, with a focus on continuously improving core metrics such as DAU, MAU, retention, digital presence and user engagement. Data Custodianship Actionable Insights Serve as the central resource for synthesizing complex data into actionable goals, ensuring data quality and insights support the success of YourStorys products. Ensure Data Integrity Structure Coordinate with the tech team to build robust and centralized structured databases, ensuring all data is captured and organized for product launches while maintaining high data quality standards. Revenue Operations and Sales Analytics Oversees the analysts work for both revenue ops and sales analytics - Responsible for weekly and quarterly forecasts for revenue from sales teams. On an annual basis, helps plans territories for sales teams and provide actionable insights on SKU performance What are we looking for Experience : 2-4 years work experience in the data analytics domain. Technical Skills : Proficiency in using SQL data wrangling from databases like BigQuery, AWS etc. Communication : Excellent written and verbal communication skills. Analytical Skills : Strong analytical and structured logical thinking abilities. Software/Platform Proficiency : Proficiency in Google Sheets or Excel familiarity with data visualization tools like Looker, Tableau, or PowerBI and analytics/data platforms such as Google Analytics, Piano Suite.

What this Job Entails: The Vendor Management role will be responsible for managing multiple suppliers who provide telecommunications services to our client, including resolution of complex billing issues and ensuring data integrity of client s TEM platform for accurate reporting and auditing of telecommunications expenses. Additionally, the Vendor Management role is responsible for ensuring there is adequate funding available to make timely and accurate payment of all supplier invoices and plays a key role in delivering high-value services to the business stakeholders. Scope: Applies company policies and procedures to resolve a variety of issues Works on problems of moderate scope Receives general instructions on routine work and detailed instructions on new projects Your Roles and Responsibilities: Participate in managing global supplier relationship from an invoice perspective Engage in resolving complex billing issues to resolution Participate in managing the funding process to ensure adequate funding exists using client AP policies and procedures Initiate cost savings claims with suppliers when amounts billed deviate from contractual pricing Engage in overseeing data integrity of vendor accounts in database Collaborate with cross-functional teams to support data quality throughout the process Maintain vendor and internal relationships to ensure timely payment, resolution of billing questions/issues and disputes Communicate with negotiators, project managers, legal, and finance to ensure adherence to contracted commercial terms Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position Required Qualifications/Skills: Bachelor s degree (B.S/B.A) from four-college or university and 2 to 5 years related experience and/or training; or equivalent combination of education and experience Builds productive internal and external working relationships Exercises judgment within defined procedures and practices to determine appropriate action Excellent oral/written communication, interpersonal, and analytical skills Ability to interact with multiple levels within a company Able to work successfully both individually as well as to contribute as a team player Level spreadsheets and basic data analytics skills Outstanding organizational, prioritization, and multitasking skills Attention to detail and a sense of urgency Ability to meet deadlines on a consistent basis Understanding of technical concepts related to data center operations and/or network backbone operations preferred Self-starter with ability to accept responsibility for projects and see them through to completion Preferred Qualifications: Telecom/data center cost experience Physical Demand Work Environment: Must have the ability to perform office-related tasks which may include prolonged sitting or standing Must have the ability to move from place to place within an office environment Must be able to use a computer Must have the ability to communicate effectively Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers

Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Experience with Snowflake-specific features: Snowpipe, Streams Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development is good to have. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives. BTech/MCA

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Tableau Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing innovative solutions to enhance business operations and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions.- Develop and maintain high-quality software design and architecture.- Implement best practices for software development and ensure code quality.- Conduct code reviews and provide constructive feedback to team members.- Stay updated with the latest technologies and trends in application development.Tableau Platform AdministrationTableau User Management Tableau Site AdministrationTableau Server Management Professional & Technical Skills: - Must To Have Skills: Proficiency in Tableau.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.Teamplayer Problem Solving Good Communication Skills Strong understanding on Tableau BI ToolsExperience in problem solving Tableau Platform Issues when upgrading and addressing user issuesTableau Administration Good to Have Skills :Installations, Configurations, administration, Migrations, Performance tuning, load balancing - Working with Databases such as PostgreSQL, Oracle Additional Information:- The candidate should have a minimum of 2 years of experience in Tableau.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects.- Ensure cohesive integration between systems and data models.- Implement data platform components.- Troubleshoot and resolve data platform issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education