2484 Data Quality Jobs - Page 31

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What s in it For You? Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 10+ years experience in technology roles. Must have a minimum of 5 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What s in it For You? Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

Skills and experience required: Postgraduate degree or diploma in health or Master of Public health or Master of Social Work would be preferred. At least 1 year of experience working in public health programs at the State or district level. Must have experience in Tuberculosis program. Ability to work independently, coupled with management and organizational skills. Excellent time management, able to prioritize tasks and accomplish set goals efficiently. Basic computer applications like Word, Excel, and Power Point. Knowledge of electronic data capture and experience with CRF development. A team-oriented approach with strong written and oral communication skills. Available to travel extensively (up to 95% of the time) within project State on short notice.Nature of Appointment:The selected candidate shall initially be offered a full-time consultancy contract through a third-party arrangement for a duration of 03 months.Deadline to share your application:Please apply by via.

Snowflake Development: Design, build, and optimize ETL pipelines within and outside of Snowflake. Develop scripts using languages like Python, Unix, or other relevant technologies for data loading, extraction, and transformation. Create and maintain views, stored procedures, and other database objects in Snowflake. Optimize query performance and troubleshoot data-related issues. Databricks Integration: Collaborate with data scientists and analysts to integrate Snowflake with Databricks. Build and maintain highly scalable data pipelines using Databricks, Azure, AWS, or other cloud platforms. Design and implement ETL/ELT data pipelines to extract, process, and transform data from various sources. Work on data insights, machine learning models, and fraud detection within the Databricks environment. Data Quality and Security: Implement extensive data quality checks to ensure high-quality data. Define and enforce data security measures within both Snowflake and Databricks. Monitor and manage access control for data assets. Collaboration and Communication: Collaborate with business leaders to understand organizational goals and align data engineering efforts. Communicate data trends, insights, and recommendations to business executives. Qualifications: Bachelor s degree in Computer Science, Information Systems, or a related field. Exp Level- 4-7 Years Proven experience as a Data Engineer, with a focus on Snowflake and Databricks. Strong proficiency in SQL and Snowflake s Snow SQL. Familiarity with cloud platforms (Azure, AWS, or Google Cloud). Experience with ETL/ELT processes, data modeling, and performance optimization. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Additional Notes: This role offers an exciting opportunity to work at the intersection of Snowflake and Databricks, leveraging the strengths of both platforms. You ll contribute to building scalable, reliable, and secure data solutions that drive business insights and innovation. Ideal to have some background knowledge around Finance / Investment Banking / Fixed Income / OCIO Business Career Level - IC2

Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists to extract insights and solve business problems Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior/lead data science analysts. KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics, data science and GenAI Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis/modelling Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail and self driven continuous learning Participation in external data hackathons and competitions will be an added advantage

About CRU: CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market. About the Role: As a Product Modeller, you will play a pivotal role in generating accurate data on production, costs, demand, and prices empowering our clients to navigate the ever-changing global marketplace with confidence. If you are passionate about data-driven analysis and eager to make a significant impact in the commodities sector, we invite you to apply and help us illuminate the future of these vital industries. Responsibilities: Collaborate in a fast-paced environment, solving complex problems and managing data lifecycles Analyse business needs, formalise requirements, and design innovative solutions using cutting-edge tools like Snowflake Develop and optimize data models, ensuring high-quality outputs that drive client success Work closely with developers to implement solutions and champion best practices Contribute to continuous improvement through proactive review and bug resolution Present clear evidence of success, progress, separations of problems from solutions and lessons learned as part of diagnosing and managing change. Champion good practice with users. Create measures of data quality that can be used in marketing. Document models for internal staff. Proactively review and optimise data models and processes, anticipating any problems ahead. Reactively diagnose, prioritise and solve bugs. Test data models to ensure they meet business requirements and acceptance criteria. Essential Criteria: Qualifications: Degree in numerate discipline maths, natural science, engineering, computer science or economics Required Skills: 2-4 years of experience as Product Modeller/Data Analyst/ BI Developer or similar Proven ability to read and write maths and formal notation. Some experience with Excel, Excel formulas and data analysis is desired. Familiarity with Data modelling concepts such as Attributes, Annotations, Formula, Objects, Cube, Dataset, Slice, Range, Templates, Parameters, Instances, Value Tree, Landing Page, Dashboard of KPI and Data adopters. Familiarity with business intelligence analytics such as Market Lever Analysis, Profit Line Chart, Dimension Editor, Time-Based Canvas, Input Editor, Scenario Analyser, Fixed and Variable Cost Breakdown analysis. Experience with Python, SQL, HTML will be useful. What We Offer: Competitive salary and flexible benefits package Opportunities for professional growth and development as part of a global company A collaborative and supportive work environment The chance to work with industry-leading experts and over a diverse range of topics and projects Share Join the Team Markets are changing, and technology is advancing, making data expertise crucial for efficient, sustainable growth. At CRU, we help businesses meet these challenges as a leading data intelligence partner by staying adaptable, collaborative, and proactive.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE/Btech br/>Key Responsibilities : "1. Ability to work as a part of a team/work independently with minimal guidance 2. US Healthcare domain knowledge will be added advantage" br/>Technical Experience : Hands-on Experience in Collibra and Master Data Management Experience with good working knowledge of Collibra suite Experience working on Implementing Metadata, Glossary and Lineage Experience in Data Governance and Management MDM skill and Retail experience is good to have br/>Professional Attributes : Good at Communication and leadership skills, team handling skills, analytical skills br/>Educational Qualification : BE/Btech

We are looking for a Senior Data Engineer to lead the design and implementation of scalable data infrastructure and engineering practices. This role will be critical in laying down the architectural foundations for advanced analytics and AI/ML use cases across global business units. Youll work closely with the Data Science Lead, Product Manager, and other cross-functional stakeholders to ensure data systems are robust, secure, and future-ready. Key Responsibilities: Architect and implement end-to-end data infrastructure including ingestion, transformation, storage, and access layers to support enterprise-scale analytics and machine learning. Define and enforce data engineering standards, design patterns, and best practices across the CoE. Lead the evaluation and selection of tools, frameworks, and platforms (cloud, open source, commercial) for scalable and secure data processing. Work with data scientists to enable efficient feature extraction, experimentation, and model deployment pipelines. Design for real-time and batch processing architectures , including support for streaming data and event-driven workflows. Own the data quality, lineage, and governance frameworks to ensure trust and traceability in data pipelines. Collaborate with central IT, data platform teams, and business units to align on data strategy, infrastructure, and integration patterns. Mentor and guide junior engineers as the team expands, creating a culture of high performance and engineering excellence. Qualifications: 10+ years of hands-on experience in data engineering, data architecture, or platform development. Strong expertise in building distributed data pipelines using tools like Spark, Kafka, Airflow, or equivalent orchestration frameworks. Deep understanding of data modeling, data lake/lakehouse architectures , and scalable data warehousing (e.g., Snowflake, BigQuery, Redshift). Advanced proficiency in Python and SQL , with working knowledge of Java or Scala preferred. Strong experience working on cloud-native data architectures (AWS, GCP, or Azure) including serverless, storage, and compute optimization. Proven experience in architecting ML/AI-ready data environments , supporting MLOps pipelines and production-grade data flows. Familiarity with DevOps practices, CI/CD for data , and infrastructure-as-code (e.g., Terraform) is a plus. Excellent problem-solving skills and the ability to communicate technical solutions to non-technical stakeholders.

About The Role As a Data Engineer you ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions. What You ll Do Design, build, and manage robust data pipelines and data architectures. Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows, ensuring reliability, scalability, and performance. Collaborate with internal stakeholders to understand data needs and deliver tailored solutions. Ensure data security and compliance with industry standards and best practices. Perform data modelling, data extraction, transformation, and loading (ETL/ELT). Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications Bachelor s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. At least 3 years of professional experience as a Data Engineer or similar role. Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake. Hands-on experience with data pipeline tools, cloud services, and storage solutions. Strong programming skills in SQL, Python, or related languages. Experience with big data technologies and concepts (Spark, Hadoop, Kafka). Excellent analytical, troubleshooting, and problem-solving skills. Ability to effectively communicate technical concepts clearly to non-technical stakeholders. Nice to have Certifications related to Azure Data Engineering, Databricks, or Snowflake. Familiarity with DevOps practices and CI/CD pipelines. Perks and Benefits Comprehensive Health Wellness Benefits Package Socials, Outings Retreats Retirement Planning Parental Leave Program Culture of Learning Development Flexible Working Hours Work from Home Flexibility Service Recognition Programs

About The Role As a Senior Data Engineer you ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions. What You ll Do Design, build, and manage robust data pipelines and data architectures. Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows, ensuring reliability, scalability, and performance. Collaborate with internal stakeholders to understand data needs and deliver tailored solutions. Ensure data security and compliance with industry standards and best practices. Perform data modelling, data extraction, transformation, and loading (ETL/ELT). Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications Bachelor s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. 5+ years of professional experience as a Data Engineer or similar role. Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake. Hands-on experience with data pipeline tools, cloud services, and storage solutions. Strong programming skills in SQL, Python, or related languages. Experience with big data technologies and concepts (Spark, Hadoop, Kafka). Excellent analytical, troubleshooting, and problem-solving skills. Ability to effectively communicate technical concepts clearly to non-technical stakeholders. Nice to have Certifications related to Azure Data Engineering, Databricks, or Snowflake. Familiarity with DevOps practices and CI/CD pipelines

Roles and Responsibilities Account Research Validation: Analyze and validate new sales account and NASP requests, utilizing GCH, Salesforce CRM, DNB, SOS, and external research tools. Ensure requests meet the following criteria: No duplicate accounts Legitimate business entities Not currently assigned to other sales team members across segments Initiate and manage DNB research inquiries. Update GCH and Salesforce records with validated information. Data Integrity Maintenance: Assist with CLE (Customer Legal Entity) review, updates, and duplicate cleanup to maintain a single, accurate CLE per customer. Support year-end sales city cleanup initiatives. Champion data quality best practices within the team. Collaboration Support: Collaborate with Sales and IT teams to report and resolve system issues. Contribute to the development and implementation of GCH 2.0 in collaboration with the GCH team. Address CLE inquiry requests. Provide support for OneView international sales requests. LV BAN Mapping Segmentation: Review LV BAN (Legal View Billing Account Number) mapping queues. Leverage GCH 2.0, DNB portal, CRM, Secretary of State data, and public records to research and establish accurate DUNS numbers. Adhere to GCH 2.0 and LV guidelines for segment, DUNS, and CLE determination.

Job_Description":" Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams. ","

Bahwan Cybertek Group is seeking a skilled T24 Data Migration Lead who will be responsible for planning and executing data migration strategies for T24 core banking solutions. This role involves managing the entire data migration process, ensuring data integrity, high quality, and consistency throughout the migration lifecycle. Key Responsibilities Lead the data migration efforts for T24 implementations, including the extraction, transformation, and loading (ETL) of data. Develop and implement data migration strategies, including mapping source data to target structures, and ensuring compliance with data governance standards. Collaborate with cross-functional teams, including business analysts, developers, and stakeholders to understand data requirements and oversee data quality assurance. Perform data analysis, profiling, and cleansing activities to ensure high-quality data migration outcomes. Document data migration processes, including ETL procedures, mapping documents, and reports. Provide training and support to team members on best practices in data migration. Ensure smooth transition and support post-migration reviews and audits. Bachelor s degree in Computer Science, Information Systems, or a related field. 5+ years of experience in data migration projects, specifically related to T24 core banking systems. Strong expertise in ETL tools and data mig

Key Responsibilities: Demonstrates proficiency in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Expected to deepen this expertise further. Translates data-related client requirements into project tasks and deliverables, with an understanding of complex problems and solutions. Drives data solutions within projects, with a focus on innovation and value creation. Provides technical guidance and support to team members on data science methodologies, tools, and algorithms. Acts as a point of escalation for data science-related issues within the project, working towards efficient resolution. Reviews and ensures adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Balances data science workload within the team, considering the skills and capacities of team members. Champions learning initiatives for upskilling and cross-skilling in data science within the team, including knowledge sharing sessions and promoting best practices. Contributes to the development of new data science solution offerings, leveraging insights from project work. Encourages team members to build technical expertise and innovate within the realm of data science. Begins to build and nurture client relationships with a focus on identifying opportunities to add value through data science. Starts to develop proficiency in at least one of data engineering, MLOps, product engineering, and cloud services, and applies this knowledge within projects. Begins to contribute to the organizations thought leadership in data science, such as writing articles, giving presentations, or contributing to internal forums. Actively identifies and communicates opportunities for the organization to enhance its data science capabilities, including new tools, methodologies, or service offerings. Keeps an eye on industry trends in data science to ensure personal growth and the competitive advantage of the organization

We are looking for a skilled Test Engineer with experience in automated testing, rollback testing, and continuous integration environments. You will be responsible for ensuring the quality and reliability of our software products through automated testing strategies and robust test frameworks Design and execute end-to-end test strategies for data pipelines, ETL/ELT jobs, and database systems. Validate data quality, completeness, transformation logic, and integrity across distributed data systems (e.g., Hadoop, Spark, Hive). Develop Python-based automated test scripts to validate data flows, schema validations, and business rules. Perform complex SQL queries to verify large datasets across staging and production environments. Identify data issues and work closely with data engineers to resolve discrepancies. Contribute to test data management, environment setup, and regression testing processes. Work collaboratively with data engineers, business analysts, and QA leads to ensure accurate and timely data delivery. Participate in sprint planning, reviews, and defect triaging as part of the Agile process. 4+ of experience in Data Testing, Big Data Testing, and/or Database Testing. Strong programming skills in Python for automation and scripting. Expertise in SQL for writing complex queries a

Job Description We are looking for a skilled Test Engineer with experience in automated testing, rollback testing, and continuous integration environments. You will be responsible for ensuring the quality and reliability of our software products through automated testing strategies and robust test frameworks Design and execute end-to-end test strategies for data pipelines, ETL/ELT jobs, and database systems. Validate data quality, completeness, transformation logic, and integrity across distributed data systems (e.g., Hadoop, Spark, Hive). Develop Python-based automated test scripts to validate data flows, schema validations, and business rules. Perform complex SQL queries to verify large datasets across staging and production environments. Identify data issues and work closely with data engineers to resolve discrepancies. Contribute to test data management, environment setup, and regression testing processes. Work collaboratively with data engineers, business analysts, and QA leads to ensure accurate and timely data delivery. Participate in sprint planning, reviews, and defect triaging as part of the Agile process. Qualifications 4+ of experience in Data Testing, Big Data Testing, and/or Database Testing. Strong programming skills in Python for automation and scripting. Expertise in

About Us: KPI Partners is a leading provider of data analytics and performance management solutions, dedicated to helping organizations harness the power of their data to drive business success. Our team of experts is at the forefront of the data revolution, delivering innovative solutions to our clients. We are currently seeking a talented and experienced Senior Developer / Lead Data Engineer with expertise in Incorta to join our dynamic team. Job Description: As a Senior Developer / Lead Data Engineer at KPI Partners, you will play a critical role in designing, developing, and implementing data solutions using Incorta. You will work closely with cross-functional teams to understand data requirements, build and optimize data pipelines, and ensure that our data integration processes are efficient and effective. This position requires strong analytical skills, proficiency in Incorta, and a passion for leveraging data to drive business insights. Key Responsibilities: - Design and develop scalable data integration solutions using Incorta. - Collaborate with business stakeholders to gather data requirements and translate them into technical specifications. - Create and optimize data pipelines to ensure high data quality and availability. - Perform data modeling, ETL processes, and data engineering activities to support analytics initiatives. - Troubleshoot and resolve data-related issues across various systems and environments. - Mentor and guide junior developers and data engineers, fostering a culture of learning and collaboration. - Stay updated on industry trends, best practices, and emerging technologies related to data engineering and analytics. - Work with the implementation team to ensure smooth deployment of solutions and provide ongoing support. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field. - 5+ years of experience in data engineering or related roles with a strong focus on Incorta. - Expertise in Incorta and its features, along with experience in data modeling and ETL processes. - Proficiency in SQL and experience with relational databases (e.g., MySQL, Oracle, SQL Server). - Strong analytical and problem-solving skills, with the ability to work with complex data sets. - Excellent communication and collaboration skills to work effectively in a team-oriented environment. - Familiarity with cloud platforms (e.g., AWS, Azure) and data visualization tools is a plus. - Experience with programming languages such as Python, Java, or Scala is advantageous. Why Join KPI Partners - Opportunity to work with a talented and passionate team in a fast-paced environment. - Competitive salary and benefits package. - Continuous learning and professional development opportunities. - A collaborative and inclusive workplace culture that values diversity and innovation. KPI Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at KPI Partners and help us unlock the power of data for our clients!

Whats the roleAs a Reporting Analyst, you will work in a global, multicultural, collaborative, fun and agile work environment. This role will require you to work closely with key stakeholders from the business to build systematic insights, accurate and effective data visualization, intuitive dashboards, and data modelling to support the adoption of analytics into the decision-making processes across the Hilti organization as well as supporting internal stakeholders in ad-hoc tasks e.g., project work, operational tasks etc. Who is HiltiAt Hilti, we are a passionate global team committed to making construction better. As a trusted partner for productivity, safety, and sustainability, we provide our customers innovative solutions that impact the buildings, roads, and infrastructure people rely on every day. Hilti is where individuals grow lasting careers by exploring possibilities, maximizing their potential, owning their development, and making a real difference every day. What does the role involveResponsibilities Accountabilities: Be the first point of contact for a specific business unit for all reporting requirements within a small reporting team Own front end data development and continuously improve overall data quality and ease of data access within a global data governance team Proactively develop and drive reporting strategies including implementation Define business requirements and recommend solutions in the form of features/epics, user stories, and other document artifacts Data source identifications and management using SAP BW, BW4/HANA, Power PI etc. Development of dashboard using data visualization tools e.g., SAP Analytics Cloud. Perform data source mapping and ensure the expected flow of data from back-end to front-end in cooperation with IT developers Participate in global and regional information management meetings to align on priorities, development design and improvements Ask the right questions to drive innovation, simplification and reduce complexity Diversity and inclusion is one of our keythemes: in our team of over 34,000 employees worldwide, there are 135 differentnationalities, 24% women worldwide and 20% women in management positions What do we offerYour responsibilities will be great and, with them, we ll give you the freedom and autonomy to do whatever it takes to deliver outstanding results. We ll offer you opportunities to move around the business you will get global exposure, experience different job functions and tackle different markets. It s a great way to find the right match for your ambitions and achieve the exciting career you re after. We have a very thorough people review process which enables your career progression as soon as you re ready for the next challenge. What you need is: Specification: Background Minimum Bachelor s in Computer Science/Technology/Data Science, preferred Master s Ideally 3+ years on job experience with relevant skillsets Skills Experience in reporting ideally in international environment Proficient in Microsoft Office applications (Excel, PowerPoint) Good common sense and ability to understand and think in context Working experience with SAP Analytics Cloud/Power BI (SAP Analytics Cloud preferred) Work experience with BexQuery Designer, Eclipse Query Designer, Power PI or similar tools Preferred experience in SAP Application Designer/Lumira/SAP Design Studio/SAP BW Know-how of SQL, VBA, RPython programming will be propitious You enjoy reporting and work precisely and conscientiously Personality High learning agility Strong communication, analytical and interpersonal skills Willingness to shape your career path together with team lead Work independent, precisely and well organized with high output quality Structured working approach General interest to understand business/end users "Who uses our products and what do they need" Keen eye for details and aptitude for working with data in agile environment Thinks out-of-the-box to creatively resolve development problems Strong storytelling skills and visual understanding Good team player and able to effectively work in multi-functional/cross-cultural environment Why should you applyWe have an excellent mix of people, which we believe makes for a more vibrant, more innovative, more productive team. So, if you ve never worked in construction, that s fine with us. Success at Hilti is down to teamwork, ability and competitive drive, no matter what your background.

Job Summary: We are seeking an experienced and detail-oriented Technical Project Manager , with strong interpersonal skills to lead and manage Data, Business Intelligence (BI), and Analytics initiatives across single and multiple client engagements. The ideal candidate will have a solid background in data project delivery, knowledge of modern cloud platforms, and familiarity with tools like Snowflake , Tableau , and Power BI . Understanding of AI and machine learning projects is a strong plus. This role requires strong communication and leadership skills, with the ability to translate complex technical requirements into actionable plans and ensure successful, timely, and high-quality delivery with attention to details. Key Responsibilities: Project Program Delivery Manage end-to-end, the full lifecycle of data engineering and analytics, projects including data platform migrations, dashboard/report development, and advanced analytics initiatives. Define project scope, timelines, milestones, resource needs, and deliverables in alignment with stakeholder objectives. Manage budgets, resource allocation, and risk mitigation strategies to ensure successful program delivery. Use Agile, Scrum, or hybrid methodologies to ensure iterative delivery and continuous improvement. Monitor performance, track KPIs, and adjust plans to maintain scope, schedule, and quality. Excellence in execution and ensure client satisfaction Client Stakeholder Engagement Serve as the primary point of contact for clients and internal teams across all data initiatives. Translate business needs into actionable technical requirements and facilitate alignment across teams. Conduct regular status meetings, monthly and quarterly reviews, executive updates, and retrospectives. Manage Large teams Ability to manage up to 50+ resources working on different projects for different clients. Work with practice and talent acquisition teams for resourcing needs Manage P L Manage allocation, gross margin, utilization etc effectively Team Coordination Lead and coordinate cross-functional teams including data engineers, BI developers, analysts, and QA testers. Ensure appropriate allocation of resources across concurrent projects and clients. Foster collaboration, accountability, and a results-oriented team culture. Data, AI and BI Technology Oversight Manage project delivery using modern cloud data platforms Oversee BI development using Tableau and/or Power BI , ensuring dashboards meet user needs and follow visualization best practices. Conduct UATs Manage initiatives involving ETL/ELT processes, data modeling, and real-time analytics pipelines. Ensure compatibility with data governance, security, and privacy requirements. Manage AL ML projects Data Cloud Understanding Oversee delivery of solutions involving cloud data platforms (e.g., Azure, AWS, GCP), data lakes, and modern data stacks. Support planning for data migrations, ETL processes, data modeling, and analytics pipelines. Be conversant in tools such as Power BI, Tableau, Snowflake, Databricks, Azure Synapse, or BigQuery. Risk, Quality Governance Identify and mitigate risks related to data quality, project timelines, and resource availability. Ensure adherence to governance, compliance, and data privacy standards (e.g., GDPR, HIPAA). Maintain thorough project documentation including charters, RACI matrices, RAID logs, and retrospectives. Qualifications: Bachelor s degree in Computer Science, Information Systems, Business, or a related field. Certifications (Preferred): PMP, PRINCE2, or Certified ScrumMaster (CSM) Cloud certifications (e.g., AWS Cloud Practitioner , Azure Fundamentals , Google Cloud Certified ) BI/analytics certifications (e.g., Tableau Desktop Specialist , Power BI Data Analyst Associate , DA-100 ) Must Have Skills: Strong communication skills Strong interpersonal Ability to work collaboratively Excellent Organizing skills Stakeholder Management Customer Management People Management Contract Management Risk Compliance Management C-suite reporting Team Management Resourcing Experience using tools like JIRA, MS Plan etc. Desirable Skills: 15 years of IT experience with 8+ years of proven project management experience, in delivering data, AI Ml, BI / analytics-focused environments. Experience delivering projects with cloud platforms (e.g., Azure , AWS , GCP ) and data platforms like Snowflake . Proficiency in managing BI projects preferably Tableau and/or Power BI . Knowledge or hands on experience on legacy tools is a plus. Solid understanding of the data lifecycle including ingestion, transformation, visualization, and reporting. Comfortable using PM tools like Jira, Azure DevOps, Monday.com, or Smartsheet. Experience managing projects involving data governance , metadata management , or master data management (MDM) .

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. This role supports Empower s data and AI strategy, with a focus on building Responsible AI capabilities. The Data Engineer will design and implement scalable, ethical, and secure data pipelines and infrastructure that underpin AI/ML systems, ensuring high-quality data flows into model development, testing, monitoring, and governance workflows. The candidate will work across cloud (AWS) and on-premises environments, contributing to the lifecycle of data used for Responsible AI tooling, including bias detection, model transparency, and compliance tracking. ESSENTIAL FUNCTIONS: Design, build, and maintain data pipelines that support model development, testing, and monitoring, with a focus on AI governance and traceability. Collaborate with cross-functional teams (including Data Scientists, ML Engineers, and Risk) to understand data needs for AI use cases. Integrate data quality, lineage, and metadata tracking into ETL pipelines to support Responsible AI workflows. Support ingestion and transformation of structured and unstructured data (including NLP datasets) for AI model training and evaluation. Design with compliance in mind: integrate secure handling of PII and support auditability in data flows. Participate in technical design discussions focused on enabling transparency, fairness, and explainability in data workflows. Troubleshoot and resolve performance and data quality issues in distributed AI pipelines. Contribute to reusable libraries or templates to support standardized data practices across AI projects. QUALIFICATIONS: Bachelor s Degree in Computer Science , Information Systems, or related field. 2-6 years of experience in data engineering, preferably in AI/ML environments. Strong Python and SQL skills with experience in data pipeline orchestration (e.g., Airflow, Step Functions). Experience with Big Data frameworks (e.g., Spark, Hadoop) and streaming data platforms (e.g., Kafka). Experience working in AWS environments with services like S3, Glue, Redshift, SageMaker, and Lake Formation. Familiarity with machine learning workflows and data requirements (e.g., training/test splits, data versioning, feature stores). Experience integrating data validation, data lineage, or metadata tools (e.g., Great Expectations, Apache Atlas, Amundsen). Understanding of Responsible AI principles and experience supporting data aspects of fairness, bias, explainability, or model monitoring is a strong plus. Experience with JIRA and Agile methodologies. Experience in financial services or other highly regulated environments preferred. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the role: Ethos is looking for a highly driven, self-starter to join the Revenue Operations team for our B2C go to market teams. This role will be responsible for driving the Consumer Rev Ops team towards operational excellence by being a versatile, dynamic team-player who can wear multiple hats drive key initiatives across workstreams. You will be a key tactical member of the team, providing insights and analysis to guide our day-to-day decisions along with driving multiple projects that support rapid revenue growth and scalability of our operations. NOTE: This will be an extremely High-impact, High-Visibility, Strong Individual Contribution role with a career progression leading to Managerial position responsibilities over time. Roles and responsibilities: High-impact self-starter who takes initiative to move projects forward and can operate independently when given direction. Enjoys working with tools and getting the most out of them whether that means improving the back-end, managing dashboards reporting, or optimizing usability. Gets excited about exploring new platforms that can help us scale our work. You have scrappy instincts and good judgment. When faced with a new problem, your gut says to get your hands dirty and get it done, but you also know when to step back and re-evaluate. You know that it takes a village to grow a business so no task is beneath you and you get excited by a variety of projects from troubleshooting a field in Salesforce to helping to plan a GTM team quarterly business get together. You want a career in operations, sales, marketing or client services and want to dig in on how to build elegant, robust processes, and scalable systems for a fast-growing, continuously changing company. You thrive in a small team where you can make a big impact. You are confident in your toolkit and experience, and you also love to pick up new skills and knowledge. You work collaboratively across disciplines to meet your objectives. When you know a better way, you voice your opinion Reporting, Dashboards Analytics : Own creation of reports and dashboards to measure and report on key revenue metrics, and perform deep analyses on the leading, in-process, and lagging indicators to support the revenue organization Drive data cleanliness initiatives and support reporting needs for Executive GTM teams including monthly revenue dashboards and Quarterly Business Reviews. Turn quantitative analysis and qualitative feedback into actionable insights across the business to improve our processes and strategy. Ops Processes: Proactively monitor and strive to maintain high levels of data quality, accuracy, and process consistency across all Revenue Operations functions. Develop, implement, and maintain standard operating procedures for Salesforce and other systems to ensure the team is keeping up to date on cases, tasks and overall activity goals Optimize processes with a view to continually improve how the systems are configured to optimize the efficiency and effectiveness of our sales programs and people Drive end to end initiatives aligned with the strategic quarterly goals of the Revenue Org and the company, support strategic projects working internally and cross functionally. Systems Tools: Help define and maintain the full marketing to sales funnel process, data, systems and workflows. Enable maintain the Consumer Sales system stack and roadmap, with tools like Salesforce and more while always keeping an eye out for what s the next best thing. Qualifications and skills: Overall 4-6 years of experience, preferably in Revenue/ Sales Operations, PnL, Ops Strategy or other related fields Preferred MBA - with at least 2 years of experience post MBA Salesforce system admin experience (Not mandatory) Preferred - Experience with configuring and using sales technologies (e.g. CRM - Salesforce,Regal, Balto,etc.) Must Have - Experience with analytics dashboarding tools like SQL, Mode, Tableau, Amplitude etc. Highly motivated, self-directed, team player that can be a jack-of-all-trades. Comfort with ambiguity, a positive attitude, and a drive to manage projects to completion. Comfort with numbers and analysis with a desire to build on analytical skills. Exceptional written and oral communication skills. High standards of accuracy and strong attention to detail with a drive to get things right. Ability to work cross-functionally in a fast paced and dynamic environment - preferably comes with experience in B2C/ D2C startups #LI-ND3 #LI-Hybrid Don t meet every single requirementIf you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice .

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the role: Ethos is looking for a highly driven, self-starter to join the Revenue Operations team for our B2C go to market teams. This role will be responsible for driving the Consumer Rev Ops team towards operational excellence by being a versatile, dynamic team-player who can wear multiple hats drive key initiatives across workstreams. You will be a key tactical member of the team, providing insights and analysis to guide our day-to-day decisions along with driving multiple projects that support rapid revenue growth and scalability of our operations. NOTE: This will be an extremely High-impact, High-Visibility, Strong Individual Contribution role with a career progression leading to People Management position responsibilities over time Roles and responsibilities: High-impact self-starter who takes initiative to move projects forward and can operate independently when given direction. Enjoys working with tools and getting the most out of them whether that means improving the back-end, managing dashboards reporting, or optimizing usability Gets excited about exploring new platforms that can help us scale our work You have scrappy instincts and good judgment. When faced with a new problem, your gut says to get your hands dirty and get it done, but you also know when to step back and re-evaluate You know that it takes a village to grow a business so no task is beneath you and you get excited by a variety of projects from troubleshooting a field in Salesforce to helping to plan a GTM team quarterly business get together. You want a career in operations and sales, and want to dig in on how to build elegant, robust processes, and scalable systems for a fast-growing, continuously changing company You thrive in a small team where you can make a big impact. You are confident in your toolkit and experience, and you also love to pick up new skills and knowledge You work collaboratively across disciplines to meet your objectives. When you know a better way, you voice your opinion Systems Tools: Own the build, troubleshooting analytics for the Sales Telephony system Design, build, and maintain effective call cadences for different customer segments and sales stages Collaborate with sales and marketing teams to align call strategies with broader go-to-market initiatives Day to day troubleshooting and improvement of the Telephony system basis feedback Lead experimentation initiatives to improve call cadence effectiveness. Develop hypotheses and test new approaches to maximize engagement and conversion rates Help define and maintain the full marketing to sales funnel process, data, systems and workflows Enable maintain the Consumer Sales system stack and roadmap, with tools like Salesforce and more while always keeping an eye out for what s the next best thing Ops Processes: Proactively monitor and strive to maintain high levels of data quality, accuracy, and process consistency across all Revenue Operations functions. Develop, implement, and maintain standard operating procedures for Salesforce and other systems to ensure the team is keeping up to date on cases, tasks and overall activity goals Optimize processes with a view to continually improve how the systems are configured to optimize the efficiency and effectiveness of our sales programs and people Drive end to end initiatives aligned with the strategic quarterly goals of the Revenue Org and the company, support strategic projects working internally and cross functionally Reporting, Dashboards Analytics : Own creation of reports and dashboards to measure and report on key revenue metrics, and perform deep analyses on the leading, in-process, and lagging indicators to support the revenue organization Drive data cleanliness initiatives and support reporting needs for Executive GTM teams including monthly revenue dashboards and Quarterly Business Reviews. Turn quantitative analysis and qualitative feedback into actionable insights across the business to improve our processes and strategy. Qualifications and skills: Overall 6-8 years of experience, preferably in Revenue/ Sales Operations, PnL, Ops Strategy or other related fields Preferred MBA - with at least 2-4 years of experience post MBA Salesforce system admin experience (Not mandatory) Must Have Experience with configuring and using sales technologies (CRM tools like Salesforce, Telephony Tools like Regal.ai) Willingness to work during US Business hours (11 AM - 8 PM EST/ 8:30 PM - 5:30 AM EST) Good to Have - Experience with analytics dashboarding tools like SQL, Mode, Tableau, Amplitude etc. Highly motivated, self-directed, team player that can be a jack-of-all-trades. Comfort with ambiguity, a positive attitude, and a drive to manage projects to completion. Comfort with numbers and analysis with a desire to build on analytical skills. Exceptional written and oral communication skills. High standards of accuracy and strong attention to detail with a drive to get things right. Ability to work cross-functionally in a fast paced and dynamic environment - preferably comes with experience in B2C/ D2C startups #LI-ND3 #LI-Hybrid Don t meet every single requirementIf you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice .

The ideal candidate should have 6-8 years of exclusive hands-on experience in SAP SuccessFactors Succession Management. The candidate should have worked on implementation and maintenance of this module across countries, preferably in mid/large size organization. You will . Investigate, analyze, and resolve technical problems and develop effective solutions. Collaborate with clients to define business requirements and conduct gap analysis to ensure alignment with SF Succession Management capabilities. Translate business needs into system configurations, creating solution designs that adhere to best practices. Lead data migration initiatives, including understanding client requirements, defining data quality rules, and providing migration recommendations. Manage system configuration, refresh, and migration processes to ensure a smooth implementation. Develop and execute test plans to validate system functionality and support user acceptance testing (UAT). Oversee system cutover, go-live activities, and provide post-implementation support and knowledge transfer documentation. Experienced in Story Reporting is mandatory. Experience with Integration of SF Succession Management with other SF Modules. Your skills. Active/valid certified Succession Management professional. Bachelordegree/ masterdegree in Information Technology, Computer Science, or a related field. Proven experience with SF Succession Management, including data migration, reporting, and experience in end-to-end implementations. Expertise in consulting with global organizations on Succession Management best practices. Knowledge in Talent Intelligence Hub (TIH), Skill Competency Management, Personal Development Plan (PDP) also called as Goal Management, Job Profile Builder (JPB), Role-Based Permissions (RBP), Succession, Story Reporting, and Integration. Strong communication and articulation skills (verbal/written/presentation). Collaboration and entrepreneurial mindset. Strong customer focus with excellent communication, presentation, and conflict resolution skills. Adaptability and ability to manage complex and diverse client needs. Independent, responsible, and meticulous work ethic with a high degree of initiative. Culturally sensitive with the ability to thrive in a multinational project environment. Prior experience in Europe and/or agile methodologies a plus. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us. Lets care for tomorrow. ","

About the Opportunity Job TypeFixed Term ContractorContract duration 11 months.Application 21 June 2025 Title Performance Operations Senior Analyst Department Performance Analytics Team Location Gurgaon, India Reports To Senior Manager, Performance Operations Level Senior Analyst Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Performance Operations team and feel like youre part of something bigger. About your team The Performance Analytics group provides performance information and portfolio analysis for Fidelity International Limited (FIL) globally. The group consists of three closely collaborating teams that work together to deliver analysis on Fidelity products and mandates to both internal and external clients: The Performance Attribution & Risk Reporting teams provide attribution and risk analytics, including quarterly fund reports, investment risk oversight packs, liquidity reporting, and support for our investment teams. The Performance Operations & Oversight team is responsible for ensuring data quality, managing systems, overseeing GIPS and regulatory performance and risk, and delivering key metrics to senior management. The Performance Measurement team supplies performance data and ex-post analysis to all our clients. About your role Senior Analyst working with the wider team, will assist in the delivery of Performance Operations. They will be responsible for data uploading, data cleansing and validation of the results using various performance calculation systems. The team provides data for use in external publications, report and accounts, as well as producing a wide variety of analysis and internal management reports. Principle duties: Setup and maintain FIL and FIJ fund and benchmark data within the performance systems. Implement a data governance model and implement stringent data controls on source data and calculated analytics. Responsible for the reconciliation of advisory mandates to client real portfolios on request by the client. Validation of results and production of reports. Supporting the technology roll out of performance systems ensuring advisory business requirements are met. Assisting colleagues where required Your skills and experience Numerically/analytically minded. Understanding of performance measurement and analysis techniques such as return calculation methodologies is preferred. Excel, Access, VBA, Python and SQL knowledge is desirable but not a requirement as this will be thought. Project management experience is a plus. Self-motivated and responsive to a changing environment. Enthusiasm and a desire to learn new skills and continue self-development. Accuracy and attention to detail. Ability to work to tight deadlines. Team contributor. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com . Or, if youre feeling inspired, start your journey with us right now.

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience