2484 Data Quality Jobs - Page 23

As one of the world s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If youre looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description The Data Steward executes on the defined data strategy and roadmaps to improve the quality, availability, and usability of their respective domain data. They develop a strong understanding of their data domain, including both how it is produced and consumed and how to apply Data & Analytics strategy and practices to drive data capabilities forward. All work is done in partnership with business and technology stakeholders to ensure consistency of services and deliverables. They perform complex hands-on-keys work to identify, research, and remediate data quality issues, create processes to prevent recurrence, and measure continual improvement in data quality. The Data Steward is crucial to enable and track progress against Invesco s strategy - trustworthy data is foundational to deliver a superior investment and client experience. Provide support for various Data Domains. Consistently make proactive suggestions regarding product usability, presentation, and data quality. Continually learn, through formal and self-guided channels, to gain a growing understanding of data management, Invesco, and the industry. Responsible for the integrity of data and runs day-to-day activities necessary to produce, validate, and deliver quality data to consuming functions and systems. Proactively identifies, escalates, and resolves data issues. Perform initial triage/research for data issues and escalate/route as necessary. Work with senior associates on projects which improve and develop subject matter expertise. Provide insights regarding themes around issues and errors and propose solutions. Working closely with Data Product Owners, provide Data Analysis support for various development and research efforts. The Experience You Bring 2 years relevant experience, BA/BS in a relevant field. Strong attention to detail, natural curiosity, with a strong desire to learn, ask questions, and share ideas. Effectively manages multiple responsibilities, demonstrates initiative, and meets deadlines. Solid understanding of desk top tools and ability to leverage for analytic and communication purposes. Solid written and verbal communication skills. Intermediate level SQL and Excel skills required. Analytical skills with the ability to collect, organize, analyze, and disseminate information. Purposeful and execution-oriented who sets bar high for self. Good relationship building skills; appreciates diversity of thought and is a true team- player/collaborator. Displays positive attitude, professional demeanor and is highly reliable. Experience with additional data analysis tools such as VBA, Python, Alteryx, or PowerBI is nice to have. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To know more about us About Invesco: https: / / www.invesco.com / corporate / en / home.html About our Culture: https: / / www.invesco.com / corporate / en / about-us / our-culture.html About our D&I policy: https: / / www.invesco.com / corporate / en / our-commitments / diversity-and-inclusion.html About our CR program: https: / / www.invesco.com / corporate / en / our-commitments / corporate-responsibility.html Apply for the role @ Invesco Careers : https: / / careers.invesco.com / india /

About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. Were proud to be recognized as a Great Place to Work , a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose. About the Role: We are seeking an experienced Talend ETL Developer with 3-5 years of hands-on experience to design, develop, and maintain robust ETL solutions. The ideal candidate should have strong technical skills, excellent communication abilities, and a good understanding of business data needs. Key Responsibilities: Design, develop, and deploy ETL jobs using Talend to integrate data from multiple sources into target systems. Optimize ETL processes for performance, reliability, and maintainability. Work with business analysts and stakeholders to gather data requirements and translate them into technical specifications. Perform data profiling, cleansing, and transformation to ensure high data quality. Monitor and troubleshoot ETL workflows and provide timely resolution of issues. Document data flows, mappings, and transformation logic. Collaborate with other developers, DBAs, and QA teams to deliver end-to-end solutions. Required Skills & Experience: 3-5 years of strong hands-on experience with Talend ETL tools. Proficiency in designing and developing complex ETL processes and data integration solutions. Good knowledge of relational databases (e.g., MySQL, Oracle, SQL Server) and writing complex SQL queries. Experience with data profiling, data quality checks, and error handling in ETL pipelines. Strong understanding of data warehousing concepts and best practices. Good communication skills to interact with business users and technical teams. Ability to translate business requirements into efficient data processing workflows. Good to Have: Experience with cloud data platforms (AWS, Azure, or GCP). Familiarity with scheduling tools and version control systems. Exposure to Agile delivery methods.

About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. Were proud to be recognized as a Great Place to Work , a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose. About the Role: We are looking for a skilled Python + SQL Developer with 3-5 years of experience, strong technical expertise, excellent communication skills, and solid business understanding. This role involves developing robust data solutions and working closely with business stakeholders to turn requirements into impactful deliverables. Key Responsibilities: Design, develop, and maintain efficient Python scripts and optimized SQL queries for ETL, data processing, and reporting tasks. Work with large datasets to ensure high data quality, integrity, and performance. Understand business requirements and translate them into clear, actionable technical solutions. Collaborate with cross-functional teams, including analysts, business users, and other developers. Document processes, follow coding standards, and contribute to continuous improvement initiatives. Communicate progress, challenges, and solutions effectively with both technical and non-technical audiences. Required Skills & Experience: 3-5 years of hands-on experience with Python programming. Strong proficiency in SQL for complex data queries, joins, and performance tuning. Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and large datasets. Good understanding of ETL workflows and data pipeline design. Strong communication and interpersonal skills to interact with business teams and stakeholders. Ability to understand and analyze business processes to deliver relevant technical solutions. Good to Have: Exposure to cloud data tools (e.g., AWS RDS, Snowflake, or similar). Familiarity with data visualization tools or BI reporting. Experience in an Agile environment.

We are seeking a highly skilled and experienced Data Engineering Architect to join our growing team. As a Data Engineering Architect, you will play a critical role in designing, building, and scaling Googles massive data infrastructure and platforms. You will be a technical leader and mentor, driving innovation and ensuring the highest standards of data quality, reliability, and performance. Responsibilities: Design and Architecture: Design and implement scalable, reliable, and efficient data pipelines and architectures for various Google products and services. Develop and maintain data models, schemas, and ontologies to support diverse data sources and use cases. Evaluate and recommend new and emerging data technologies and tools to improve Googles data infrastructure. Collaborate with product managers, engineers, and researchers to define data requirements and translate them into technical solutions. Data Processing and Pipelines: Build and optimize batch and real-time data pipelines using Google Cloud Platform (GCP) services such as Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Develop and implement data quality checks and validation processes to ensure data accuracy and consistency. Design and implement data governance policies and procedures to ensure data security and compliance. Data Storage and Management: Design and implement scalable data storage solutions using GCP services such as BigQuery, Cloud Storage, and Spanner. Optimize data storage and retrieval for performance and cost-effectiveness. Implement data lifecycle management policies and procedures. Team Leadership and Mentorship: Provide technical leadership and guidance to data engineers and other team members. Mentor and coach junior engineers to develop their skills and expertise. Foster a culture of innovation and collaboration within the team. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in data engineering or a related field. Strong understanding of data warehousing, data modeling, and ETL processes. Expertise in designing and implementing large-scale data pipelines and architectures. Proficiency in SQL and at least one programming language such as Python or Java. Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. Experience with open-source data processing frameworks such as Hadoop, Spark, and Kafka. Excellent communication, interpersonal, and collaboration skills. Preferred Qualifications: Experience with data governance and data quality management. Experience with machine learning and data science. Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Job Description Summary The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospaces multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with basic experience. Desired Characteristics: - Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. - Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems. - Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL). - Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams - Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains. Preferred Qualifications: - Awareness of feature extraction and real-time analytics methods. - Understanding of analytic prototyping, scaling, and solutions integration. - Ability to work with large, complex data sets and derive meaningful insights. - Familiarity with machine learning techniques and their application in solving real-world problems. - Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. - Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Domain Knowledge: Demonstrated awareness of industry and technology trends in data science Demonstrated awareness of customer and stakeholder management and business metrics Leadership: Demonstrated awareness of how to function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation skills Personal Attributes: Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward . Additional Information Relocation Assistance Provided: No

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

P2 Grade- (3+ to 5 yrs) -> CTC -> 11.50 LPA Max P3 Grade (5 to 8 yrs) CTC -> 21 LPA Max POSITION SUMMARY This role is accountable to develop, expand and optimize Data Management Architecture, Design & Implementation under Singtel Data Platform & Management 1. Design, develop and implement data governance and management solution, data quality, Privacy, protection & associated control technology solutions as per best industry practice. 2. Review, evaluate and implement Data Management standards primarily Data Classification, Data Retention across systems. 3. Design, develop and implement Automated Data Discovery rules to identify presence of PII attributes. 4. Drive development, optimization, testing and tooling to improve overall data control management (Security, Data Privacy, protection, Data Quality) 5. Review, analyze, benchmark, and approve solution design from product companies, internal teams, and vendors. 6. Ensure that proposed solutions are aligned and conformed to the data landscape, big data architecture guidelines and roadmap. KEY RESPONSIBILITIES AND RESULTS 1 Design and implement data management standards like Catalog Management, Data Quality, Data Classification, Data Retention 2 Drive BAU process, testing and tooling to improve data security, privacy, and protection 3 Identify, design, and implement internal process improvements: automating manual processes, control and optimizing data technology service delivery. 4 Implement and support Data Management Technology solution throughout lifecycle like user onboarding, upgrades, fixes, access management etc.. QUALIFICATIONS / EXPERIENCE / KNOWLEDGE REQUIRED Category Essential for this role Education and Qualifications Diploma in Data Analytics, Data Engineering, IT, Computer Science, Software Engineering, or equivalent. Work Experience • Exposure to Data Management and Big Data Concepts Knowledge and experience in Data Management, Data Integration, Data Quality products Technical Skills • Informatica CDGC, Collibra, Alatian Informatica Data Quality, Data Privacy Management Azure Data Bricks

Grade Level (for internal use): 08 Grade Level (for internal use): 8 Job Title: Lead Data Analyst Functional Domain: Enterprise Data Organization Job Overview: The Lead Data Analyst will play a critical role in the CCST team, working in partnership with the Quality Assurance team. The role involves managing client inquiries, analyzing banking datasets, and leveraging advanced data manipulation skills. This position requires proficiency in SQL, and experience with Python, Salesforce, and Power BI is preferred. The successful candidate will thrive in a global team environment, demonstrating a strong commitment to data integrity and client satisfaction. Key Responsibilities: Client Management & Inquiry Resolution: Act as the primary contact for managing and resolving client inquiries, ensuring exceptional service and satisfaction. Data Analysis & Insights: Analyse client questions to uncover actionable insights that support strategic business decisions. Quality Assurance Participation: Participate in the execution of sampling workflow and quality assurance initiatives to enhance data accuracy and reliability. Data Visualization: Design and develop intuitive Power BI dashboards to facilitate effective data visualization for stakeholders. Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis, driving product enhancement. Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives, fostering a global mindset. Shift Adaptability: Adapt to varying shifts as required, ensuring consistent and reliable support across diverse time zones. What's In It for You: Collaborative Environment: Work closely with client-facing teams to enhance service delivery and client satisfaction. Quality Focus: Engage with the Quality Assurance team to ensure data accuracy and integrity across all analyses. Career Growth: Opportunity to progress within the organization by leveraging strong technical knowledge and expertise. Skill Development: Enhance your skills in data analysis, visualization, and client management through continuous learning and development. Global Exposure: Be part of a diverse team that operates across different time zones, promoting a global mindset and cultural understanding. Basic Required Qualifications: Bachelors degree in Data Science, Computer Science, Finance, or a related field. Proven experience working with banking datasets and managing client inquiries. Proficiency in SQL for data analysis and manipulation. Ability to work in varying shifts to accommodate global business needs. Key Soft Skills: Strong attention to detail and analytical thinking. Excellent communication skills, both written and verbal. Ability to work collaboratively in a team-oriented environment. Flexibility and adaptability to changing work conditions and priorities. Additional Preferred Qualifications: Experience with Python for advanced data analysis and automation. Familiarity with Salesforce for client relationship management. Proficiency in Power BI for creating impactful data visualizations. Demonstrated ability to quickly learn and apply new technologies. Previous experience in a client-facing role within the financial sector.

Data Architect with Cloud Expert, Data Architecture, Data Integration & Data Engineering ETL/ELT - Talend, Informatica, Apache NiFi. Big Data - Hadoop, Spark Cloud platforms (AWS, Azure, GCP), Redshift, BigQuery Python, SQL, Scala,, GDPR, CCPA

The Data Engineering manager needs to be we'll versed with Microsoft Business Intelligence stack having strong skills and experience in development and implementation of BI and advanced analytics solutions as per business requirements. Strong hands-on experience in Microsoft ADF pipelines, databricks notebooks, Pyspark. Adept in design and development of data flows using ADF. Expertise in implementing complex ETL logics through databricks notebooks Experience in implementing CI-CD pipelines through azure devops Experience in writing complexT- SQLs Understand the business requirements and develop data models accordingl Have knowledge and experience in prototyping, designing, and requirement analysis. Excellent knowledge in data usage, Scheduling, Data Refresh and diagnostics Experience in tools such as Microsoft Azure, SQL data warehouse, Visual Studio, etc Worked in an agile (scrum) environment with globally distributed teams Analytical bent of mind Business acumen and articulation skills; ability to capture business needs and translate into a solution Ability to manage interaction with business stakeholders and others within the organization Good communication and documentation skills Proven experience in interfacing with different source systems Proven experience in data modelling Minimum required Education: BE Computer Science / MCA / MSC IT Minimum required Experience: Minimum 2 years of experience in Data Engineering or equivalent with Bachelors Degree. Preferred Certification: Azure ADF/Databricks/T-SQL Preferred Skills: Azure ADF/Databricks PySpark / T-SQL Data Governance Data Harmonization & Processing Data Quality Assurance Business Intelligence Tools Requirements Analysis Root Cause Analysis (RCA) Requirements Gathering

Support data analysis on existing processes and datasets to understand and support Point of Arrival (POA) process design Support and guide determining portfolios, data elements and grain of data required for designing processes Support team review data scenarios and provide clarification on how to report on these scenarios in alignment with regulatory guidance Identify and support business requirements, functional design, prototyping, testing, training, and supporting implementations Support developing functional requirement documents (FRDs) and process specific design documentation to support process and report owner requirements Document and understand core components of solution architecture including data patterns, data-related capabilities, and standardization and conformance of disparate datasets Support the implementation of master and reference data to be used across operational and reporting processes Participate in daily meetings with the pods (implementation groups for various portfolios of the Company for data sourcing and regulatory classification and reporting). Coordinate with various Product Owners, Process Owners, Subject Matter Experts, Solution Architecture colleagues, and Data Management team to ensure builds are appropriate for American Express products Participate on user acceptance testing, parallel run testing, and any other testing required to ensure the build meets the requirements authored including development and execution of test cases, and documentation of results Assist on development of executable testing algorithms that enable validation of the expected system functionality, including replication of deterministic logic and filtering criteria Minimum Qualifications SQL and data analysis experience Product/platform understanding and process design experience Knowledgeable about Financial Data Warehouse and Reporting Solutions (such as ODS, AxiomSL, OFSAA, and Hadoop concepts) Knowledgeable in Data Analytics/profiling Knowledgeable with creating S2T and Functional designs Knowledgeable in creating Data Mappings, analyzing the SOR (System of Record) data, implementing Data Quality Rules to identify data issues in SORs Experience with of MS Excel and Power Query Testing management and execution experience Foundational data warehousing principles and data modeling experience is a plus Agile trained is a plus Financial reporting or accounting experience is a plus A good understanding of the banking products is a plus Exhibits organizational skills with the ability to meet/exceed critical deadlines and manage multiple deliverables simultaneously A self-starter, proactive team player with a passion to consistently deliver high quality service and exceed customers expectations Excellent written and verbal communications with ability to communicate highly complex concepts and processes in simple terms and pragmatically across Finance, Business and Technology stakeholders Excellent relationship building, presentation and collaboration skills Preferred Qualifications Knowledge of US Regulatory Reports (Y9C, Y14, Y15, 2052a, amongst others) Working exposure in data analysis and testing of financial data domains to support regulatory and analytical requirements for large scale banking/financial organizations Experience in development of testing automation capabilities Experience in Cloud capabilities We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Drive Strategic Growth & Revenue Defining the vision and roadmap to transform data as a key asset to power business growth. Modernize Data Management Ongoing data management, data discovery and collaboration across Global Commercial Services Ensure Health of the Commercial Business Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future Purpose of the Role This role would be focused on solutioning for GCS Data governance, Data Quality (DQ), and managing DQ Issues. This would involve partnering with stakeholders/GCS teams to gather requirements; performing Root Cause Analysis via data mining and analysis, identifying process gaps or monitoring existing solutions; proposing and presenting the possible solutions to the leaders/stakeholders and if required, working with technology for development of scalable Data Quality solutions. Responsibilities Accountable for the necessary remediation of data quality Issues originating from business processes and accountable for notifying key stakeholders on remediation activities Ensure data quality Issues are captured, managed, and have a plan for remediation that is thorough, complete, and timely to ensure a comprehensive fix is completed. Writing and executing SQL and python scripts to analyze/profile data and solution for data quality issues in a big data environment and propose robust data quality controls. Knowledge of business data and systems that your domain/business unit produce and consume. Participate in project meetings and communicate effectively with leaders, peers, architects, system analysts, project managers & others, reporting project status as required. Utilize data quality and data profiling tools to solution for DQ framework/issue. Understand, gather, and translate project/user requirements into we'll-defined features/user stories with testable acceptance criteria, via collaboration with multiple stakeholders on requirements and prioritization Work closely with the technology team to develop, test and deliver the defined deliverables. Perform Unit Acceptance Testing (UAT) before accepting the stories. Raise if any bugs/gaps are identified and get that fixed with technology team. Provide proactive solutioning to any sprint blockers. Understanding of data management concepts and practices such as data security, data quality, meta data. Responsible for building scalable data Quality frameworks for enterprise projects. Minimum Qualifications: Business Outcomes: Deliver high quality & accurate Data Quality solutioning within deadlines. Understanding the gaps and remediating the same as per business requirements. Accountable for the Agile delivery framework. Tracking progress and sharing project updates to ensure stakeholder satisfaction. Academic Background & Past Experience MBA or Bachelor/Advanced degree in science, computer science, information technology, information management 2-5 years of relevant experience as product/business analyst Functional Skills/Capabilities Strong stakeholder management and excellent written & verbal communication. Experience in requirement gathering, product management, backlog creation, project tracking and comprehensive documentation. Experience with Agile Scum process and principles and actively leading Agile ceremonies (Scrum, Grooming, Retrospective) Ability to multi-task with high precision & quality delivery. Ability to independently drive, track and ensure accurate delivery. Technical Skills/Capabilities Strong SQL/Python and MS Excel- data querying and analysis. JIRA for User Stories and Agile Scrum Management. Confluence, MS Word & PowerPoint for documentation. MS Excel knowledge and SQL/Hive for data analysis. ML experience a plus but not compulsory. Understanding of Data Governance, Data Quality, Data lineage, and Data Transformation is a plus. Preferred Qualifications: A good balance of technical knowledge and business acumen. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Total Experience 58 years with 4+ years of relevant experience Skills Proficiency on Databricks platform Strong handson experience with Pyspark , SQL, and Python Any cloud Azure, AWS, GCP Certifications (Any of the following) Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Mandatory Skill Sets Databricks,Pyspark, SQL,Python, Any cloud Azure, AWS, GCP Preferred Skill Sets Related Ceritfication Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion

Qualification: B.Sc - Computers; B.Tech/B.E. - Computers; BCA/BCS - Computers; M.E./M.Tech - Computers; M.Sc / MS Science - Computers; MCA - Computers Job Description: 5+ years of experience in implementing batch/real-time integrations using ODI 11g Proficiency in customizing knowledge modules as per requirements Strong design and development skills Experience in developing Interfaces, Packages, Load Plans, User Functions, Variables, and Sequences in ODI Proficient in ETL processes including control tables, error logging, auditing, data quality, etc Expertise in Oracle ODI toolset and Oracle PL/SQL Familiarity with ODI Master and Work Repository Understanding of data modelling and ETL design principles Experience in performance tuning of ODI mappings Ability to design ETL unit test cases and debug mappings Hands-on experience in integrating ODI with multiple source/target systems Experience with ODI error handling, automation, Load Plans, and object migration Key Skills : Real-time Integrations Odi Consultant Odi 11g Etl

Key Responsibilities / Duties: With a strong emphasis on the insurance , banking and institutional client types, working with external reporting partners and internal project stakeholders to prepare and/or oversee monthly, quarterly and periodical regulatory client reporting production to meet US & EMEA client requirements in a timely and accurate manner; primary US & EMEA regulation includes N-Port, N-CEN , Form-PF, MMFR, Solvency II, VAG, GroMikV etc. Maintain strong working relationships with all US & EMEA-located Client Service teams, the Investment Teams and all other stakeholders as appropriate, ensuring clear and accurate communication, keeping abreast of all client regulatory reporting market developments and responding to client enquiries in a timely manner. Develop a strong understanding of end-to-end investment management processes, the required data to support these processes, and the data quality and delivery issues that may impact the business on an on-going basis Actively monitor changes in the regulatory environment to anticipate impacts to Invesco Providing oversight and direction to Regulatory Analysts as necessary including managing priorities and workload. Regularly meet with business and technology teams to understand and document their planned efforts and outstanding concerns around data quality and delivery Maintain BAU cycles of data aggregation process and loading into regulatory reporting system Monitor lifecycle from data sourcing, transformation, and enrichment and identify fails, breaks, or changes to target sources received Maintain data dictionaries and clear changes with Regulatory Data Manager Conduct UAT testing when rolling out new regulatory filings or added data sources Conduct review of key financial input data reconciliations for source data (example Trial Balance to holdings file) Identify, research, document and / or remediate exceptions Conduct Level I accuracy and completeness checks on form output Work with business owners of data to assist them to establish appropriate quality assurance processes Help to compile management reporting dashboards of data quality metrics for the organization Work Experience / Knowledge: More than five year s of experience in business analysis, investment operations or accounting in a financial services firm or professional consultancy organization. Experience working with US & EMEA regulations including N-Port, N-CEN , Form-PF, MMFR, Solvency II, VAG, GroMikV etc. An understanding of the concepts related to data modelling, coding and process flow design Working knowledge of financial statements, asset classes and derivatives Skills / Other Personal Attributes Required: Good skill on utilizing Alteryx to create reporting, analyze & manipulate data sets. Ability to communicate effectively with different audiences with clarity and conciseness demonstrated by well-developed written and verbal skills, and the ability to deliver content to moderate-sized groups Organizational skills necessary to meet deadlines, prioritize tasks, and process several streams of work simultaneously Self-driven and motivated with the ability to independently deliver on Rich attention to detail to capture and communicate complex topics Ability to judge the significance of issues and escalate accordingly. Strong analytical skills and ability to work well in a changing environment. Ability to understand context and ensure detail is in line with broader objectives demonstrated by clarity of understanding of the benefits of good data quality and associated data governance regime to a financial services firm Working knowledge of Microsoft Office tools, primarily Word, Excel, PowerPoint and Access. Advanced Excel skills a plus. Ability to utilize tools commonly available, e.g., PowerPoint or Visio, to diagram data or process flows

About KPI Partners . KPI Partners is a leading provider of technology consulting and solutions, specializing in delivering high-quality services that enable organizations to optimize their operations and achieve their strategic objectives. We are committed to empowering businesses through innovative solutions and a strong focus on customer satisfaction. Job Description. We are seeking an experienced and detail-oriented ODI Developer to join our dynamic team. The ideal candidate will have a strong background in Oracle Data Integration and ETL processes, possess excellent problem-solving skills, and demonstrate the ability to work collaboratively within a team environment. As an ODI Developer at KPI Partners, you will play a crucial role in designing, implementing, and maintaining data integration solutions that support our clients analytics and reporting needs. Key Responsibilities. - Design, develop, and implement data integration processes using Oracle Data Integrator (ODI) to extract, transform, and load (ETL) data from various sources. - Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications. - Optimize ODI processes and workflows for performance improvements and ensure data quality and accuracy. - Troubleshoot and resolve technical issues related to ODI and data integration processes. - Maintain documentation related to data integration processes, including design specifications, integration mappings, and workflows. - Participate in code reviews and ensure adherence to best practices in ETL development. - Stay updated with the latest developments in ODI and related technologies to continuously improve solutions. - Support production deployments and provide maintenance and enhancements as needed. Qualifications. - Bachelors degree in Computer Science, Information Technology, or a related field. - Proven experience as an ODI Developer or in a similar ETL development role. - Strong knowledge of Oracle Data Integrator and its components (repositories, models, mappings, etc.). - Proficient in SQL and PL/SQL for querying and manipulating data. - Experience with data warehousing concepts and best practices. - Familiarity with other ETL tools is a plus. - Excellent analytical and troubleshooting skills. - Strong communication skills, both verbal and written. - Ability to work independently and in a team-oriented environment. Why Join KPI Partners - Opportunity to work with a talented and diverse team on cutting-edge projects. - Competitive salary and comprehensive benefits package. - Continuous learning and professional development opportunities. - A culture that values innovative thinking and encourages collaboration. KPI Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**

Summary: We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities: Implement and maintain data quality checks and validations using various tools and techniques. Develop and execute data quality test plans and test cases. Automate data quality processes, including data profiling, data quality checks, and reporting. Contribute to the implementation and maintenance of data quality frameworks and tools. (Preferred) Utilize SODA (or similar frameworks) to define data quality checks, configure data sources, and generate data quality reports. Collaborate with data engineers, data analysts, and other stakeholders to ensure data quality requirements are met. Communicate data quality issues and findings to relevant stakeholders. Investigate and analyze data quality problems to determine root causes.

About the Role We are looking for a Data annotator who would be responsible for working closely with data scientists, machine learning engineers, and other team members to provide critical annotated data that will be used to train, validate, and test various models. This role requires accurately labeling data to ensure the highest quality datasets for machine learning and artificial intelligence applications. Responsibilities Accurately annotate large volumes of data, including image, text, audio, and video data, according to specified guidelines and standards. Organize and maintain annotated datasets, ensuring that data is properly labeled and stored. Review and validate annotations completed by other team members to ensure accuracy and consistency. Work closely with machine learning engineers to understand project requirements and provide insights into annotation processes. Suggest and implement improvements to annotation processes and workflows to enhance productivity and data quality. Utilize and provide feedback on annotation tools and software to improve efficiency and accuracy. Requirements 2-3+ years of proven experience in data annotation and image labeling tasks, ensuring high accuracy and consistency. Exceptional attention to detail and accuracy in data labeling tasks. Familiarity with data annotation tools and software. A basic understanding of machine learning concepts is a plus. Strong analytical skills with the ability to understand and follow complex guidelines and instructions. Strong written and verbal communication skills for clear documentation and collaboration. Ability to work as part of a collaborative team. Bachelor s degree in any field. Location: Ahmedabad/Pune

We are looking forward to hire Data Engineering Professionals in the following areas : Experience 10-12 Years Location: Pune J ob Summary: We are seeking a detail-oriented and technically proficient Technical Project Manager (TPM) with a strong background in data engineering, analytics, or data science. The TPM will be responsible for leading cross-functional teams to deliver data-centric projects on time, within scope, and within budget. This role bridges the gap between business needs and technical execution, ensuring alignment across stakeholders. Key Responsibilities: Lead end-to-end project management for data and engineering initiatives, including planning, execution, and delivery. Lead the planning, execution, and delivery of data-related projects (e.g., data platform migrations, analytics implementations, ML model deployments). Collaborate with data engineers, analysts, and business stakeholders to define project scope, goals, and deliverables. Develop detailed project plans, timelines, and resource allocations. Manage project risks, issues, and changes to ensure successful delivery. Ensure data quality, governance, and compliance standards are met. Facilitate communication across technical and non-technical teams. Track project performance using appropriate tools and techniques. Conduct post-project evaluations and implement lessons learned. Required Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or a related field. 5+ years of experience in project management, with at least 2 years managing data-focused projects. Strong understanding of data pipelines, ETL processes, cloud platforms (e.g., AWS, Azure), and data governance. Proficiency with project management tools (e.g., Jira, MS Project). Excellent communication, leadership, and stakeholder management skills. Familiarity with BI tools (e.g., Power BI, Tableau). PMP or Agile/Scrum certification is a plus. Required Technical/ Functional Competencies Change Management: Specialized in overcoming resistance to change and helping organizations achieve their Agile goals. Able to guide teams in driving the change management projects or requirements. Customer Management: Specialized knowledge of customers business domain and technology suite. Use latest technology, communicate effectively, demonstrate leadership, present technical offerings, and proactively suggest solutions. Delivery Management: Specialized knowledge of deal modeling, commercial and pricing models. Create an integrated pricing model across service lines. Guide team members to apply pricing techniques. Grow the account, forecast revenues and analyze complex internal reports. Manage at least 1 complex account (>10m) or multiple small account independently. Domain/ Industry Knowledge: Specialized knowledge of customers business processes and relevant technology platform or product. Able to forecast business requirements and market trends, manage project issues, and validate customer strategy roadmap. Product/Technology Knowledge: In-depth knowledge of platform/product and associated technologies. Review various product-specific solutions for a specific project/client/organization and conduct product demos, walkthroughs and presentations to prospects if required. Profitability Management: Demonstrate competence in applying profitability and cost management techniques. Can develop Project budgets, monitor actual costs against the budget, and identify potential cost overruns or deviations. Use established processes and tools to track and control project expenses. Project Management: Extensive experience in managing projects and can handle complex projects with minimal supervision. Deep understanding of project management concepts and methodologies and can apply them effectively to achieve project goals. Scheduling and Resource Planning: Prepare independent global delivery models covering skill levels, skill mix and onsite/offshore work allocation. Create an accurate resource plan for people, space and infrastructure for the given requirements. Forecast people and skill requirements to align with plans. Optimize the schedule for complex projects. Service Support and Maintenance: Plan and execute transition for large/ complex activities. Define standards in transition management based on industry trends and contribute to building tools and accelerators for KT process. Optimize resource utilization based on demand from customers. Select and define SLAs; track service levels and analyze impact of SLA on complex processes and deliverables. Risk Management: Good understanding of risk management principles and techniques. Identify, assess, and document risks independently, as well as prioritize risks based on their potential impact. Assist in developing risk mitigation plans and monitoring risk responses. Required Behavioral Competencies Accountability: Being a role model for taking initiative and ensuring others take initiative, removing obstacles for others, taking ownership for results and deadlines for self and others, and acting as a role model for being responsible. Agility: Works with a diverse set of situations, people and groups and adapts and motivates self and team to thrive in changing environment. Collaboration: Reaches out to others in team to ensure connections are made and team members are working together. Looks for ways to integrate work with other teams, identifying similarities and opportunities, making necessary changes in work to ensure successful integration. Customer Focus: Engages in executive customer discovery to predict future needs of customers and drives customer relationships with a long-term focus and takes actions to enhance customer loyalty. Communication: Communicates and presents complex ideas, information, and data to multiple, broad, and demanding stakeholders internal and/or external to the Organization. Helps others communicate better with their audience. Demonstrates honest, direct, and transparent communication and facilitates conversations within the team and its close collaborators. Drives Results: Proactively seeks challenging and differentiated opportunities and drives and motivates team members to take on more responsibility. Resolves Conflict: Balances the business interests of all stakeholders and manages any conflicts offering mutually beneficial options. Certifications PMP (Project Management Professional), PRINCE2 (Projects in Controlled Environments) Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

The purpose of this role is to script surveys on the survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Job Description: Bachelor s degree in computer science, Information Technology, Statistics, or a related field 2+years of experience working with VOXCO, Forsta or similar survey programming software. Experience of scripting multi-market complex projects. Program and script high-complexity surveys on the Survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Conduct thorough testing of surveys, review data, and provide high-quality links to clients. Be able to provide technical support and troubleshooting for survey-related issues. Coordinate with internal project managers / client services team members to finalize materials; provide guidance on tool functionality and solutions. Review survey questionnaires and make recommendations for efficient programming and optimal data layout to improve data quality and user experience. Develop, test, and implement innovative approaches, functions, and solutions to streamline survey programming and enhance project efficiency. Strong understanding of JavaScript, HTML, CSS, and other relevant programming languages. Should be comfortable to work in night shifts - rotational, 24/7 operational support and working on weekends - Roaster Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization Location: DGS India - Mumbai - Goregaon Prism Tower Brand: Merkle Time Type: Full time Contract Type: Permanent

Join us as a Client Analytics Associate Take on a new challenge in Data & Analytics and help us shape the future of our business You ll be helping to manage the analysis of complex data to identify business issues and opportunities, and supporting the delivery of high quality business solutions Were committed to mapping a career path that works for you, with a focus on helping you build new skills and engage with the latest ideas and technologies in data analytics Were offering this role at associate level What youll do As a Data & Analytics Analyst, you ll be planning and providing high quality analytical input to support the development and implementation of innovative processes and problem resolution. You ll be capturing, validating and documenting business and data requirements, making sure they are in line with key strategic principles. We ll look to you to interrogate, interpret and visualise large volumes of data to identify, support and challenge business opportunities and identify solutions. You ll also be: Performing data extraction, storage, manipulation, processing and analysis Conducting and supporting options analysis, identifying the most appropriate solution Helping to maintain full traceability and linkage of business requirements of analytics outputs Seeking opportunities to challenge and improve current business processes, ensuring the best result for the customer Creating and executing quality assurance at various stages of the project in order to validate the analysis and to ensure data quality, identify data inconsistencies, and resolve as needed The skills youll need You ll need a background in business analysis tools and techniques, along with the ability to influence through communications tailored to a specific audience. Additionally, you ll need the ability to use core technical skills. You ll also demonstrate: Strong analytic and problem solving abilities A keen eye for detail in your work Strong proficiency in T-SQL (writing complex queries, stored procedures, view, functions) using SQL Server Experience with SSIS (SQL Server Integration Services), building and maintaining ETL pipelines Experience in designing and developing interactive Tableau dashboard and reports, ability to translate business requirements into effective visualizations Hours 45 Job Posting Closing Date: 23/06/2025

What this Job Entails [Summary]: This role is central to ensuring the efficient and accurate financial operations of our clients telecommunications services. The primary responsibility involves processing a high volume of invoices from a diverse array of telecommunication service suppliers. This requires a sharp eye for detail and a commitment to speed and accuracy to ensure all financial obligations are met precisely and promptly. A critical component of this position is maintaining the robust data integrity of the clients telecommunication platform. This isnt just about data entry; its about safeguarding the foundation for accurate expense reporting and comprehensive auditing. By ensuring the reliability of this data, the Analyst directly supports informed decision-making and financial transparency across the organization. Your Roles and Responsibilities: Ensure all invoices are reviewed for accuracy and approved for payment within established service level agreements. Identify funding gaps to ensure adequate funding exists in support of on time payments. Initiate cost savings claims with suppliers when amounts billed deviate from contractual pricing. Proactively identifying and escalating discrepancies between invoices, purchase orders, and contractual rates. Maintain data integrity of vendor charges within the TEM database. Collaborate with cross-functional teams to support data quality throughout the process. Assist in managing internal relationships to ensure timely payment, resolution of billing questions/issues and disputes. Proactively identifying opportunities to streamline processes, enhance efficiency, and reduce manual effort. Required Qualifications/Skills: A Bachelors degree (finance/accounting/other business discipline preferred) 1+ years experience with payment systems in large multinational companies including accounts payable operations, invoicing procedures, payment terms and accounting techniques Experience with systems like SAP, Oracle, preferred Excellent oral/written communication, interpersonal, and analytical skills Experience interacting with multiple levels within a company Able to work successfully both individually as well as to contribute as a team player Advanced level spreadsheets and basic data analytics Outstanding organizational, prioritization, and multitasking skills Attention to detail and a sense of urgency Ability to meet deadlines on a consistent basis An understanding of technical concepts related to data center operations and/or network backbone operations preferred Telecom experience preferred Self starter with ability to accept responsibility for projects and see them through to completion.

Senior Associate, Business Process Management Analyst At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world s financial system we touch nearly 20% of the world s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We re seeking a future team member for the role of Senior Associate, Business Process Management Analyst to join our Wealth Management Data Governance team. This role is located in Pune, MH - HYBRID. In this role, you ll make an impact in the following ways: This is a unique opportunity to join Data Governance team and help be a pivotal part of Wealth Managements data transformation. The team was formed to establish robust data management and governance practices as well develop a data hub that makes information accessible and actionable to our front line business partners. The individual in this role will have the opportunity to learn industry best practices for data management, data quality, refine their data wrangling skills, learn more about the Wealth Management and serve up data driven insights to our business partners. One of the team s primary objectives is to implement a collaborative data platform for a more streamlined way of moving, transforming, analyzing, and communicating information. This will require the analyst to build relationships with key stakeholders, to work with internal clients to understand their data needs, and to partner with IT to deliver data solutions. A key tool for the team is Collibra, CDQ and DataIku. Collibra, CDQ and Dataiku provides most of the functions needed to perform the role. i.e. connections to databases, IDE functionality, SQL functions, Jupyter notebooks. SQL software is needed to connect to certain data bases. Deliver value and deliver value frequently Build and maintain relationships with key stakeholders in WM Businesses and IT Translates complex technical concepts and analyses to non-technical audiences Prepares ad-hoc reports at the request of managers and/or other leaders Build BI and machine learning prototypes and derive actionable insights for the Businesses To be successful in this role, we re seeking the following: B Tech/BE/BS Degree (stats, math, engineering degrees are a plus) 5+ years of Experience working in Data Quality and Data Management 3+ years of experience with Collibra, CDQ Excellent interpersonal and client-facing skills 2+ years of experience with SQL Good knowledge on Snowflake Passion for helping others succeed Passion for learning new skills Self-starter Dataiku experience is good to have Experience in financial industry is preferred Good knowledge of Excel Agile experience is a plus At BNY, our culture speaks for itself. Here s a few of our awards: America s Most Innovative Companies, Fortune, 2024 World s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion , Disability: IN - 100% score, 2023-2024 Most Just Companies , Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg s Gender Equality Index (GEI), 2023 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Python Professionals in the following areas : Job Description: This Position will be Right to Hire! Experience 5+ years Degree in computer science, engineering, or similar fields Skill Set: AWS, Python, PySpark Primary Responsibilities Responsible for designing, developing, testing and supporting data pipelines and applications Industrialize data feeds Experience in working with cloud environments AWS Creates data pipelines into existing systems Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms. Improves data cleansing and facilitates connectivity of data and applied technologies between both external and internal data sources. Establishes a continuous quality improvement process and to systematically optimizes data quality Translates data requirements from data users to ingestion activities B.Tech/ B.Sc./M.Sc. in Computer Science or related field and 3+ years of relevant industry experience Interest in solving challenging technical problems Nice to have test driven development and CI/CD workflows Knowledge of version control software such as Git and experience in working with major hosting services (e. g. Azure DevOps, Github, Bitbucket, Gitlab) Nice to have in working with cloud environments such as AWSe especially creating serverless architectures and using infrastructure as code facilities such as CloudFormation/CDK, Terraform, ARM. Hands-on experience in working with various frontend and backend languages (e.g., Python, R, Java, Scala, C/C++, Rust, Typescript, ...) At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About FinAdvantage We are a technology-powered organisation that uses tools and software platforms, which can be easily integrated with standard accounting software. This enables seamless repository management, transactional accounting, accurate reporting, and effective data management for our clients. It also allows for cost-effective services and greater value for clients. We offer high quality professional services to clients across industry in diverse fields including finance, accounting, consulting, and taxation. Our differentiation lies in our multi-faceted team of highly qualified professionals who possess experience of providing consulting services to startups, SMEs, large Corporates and MNCs. FinAdvantage operates out of Bangalore, Hyderabad, Gurgaon, and Chicago. Job Title: Data Management Job Description: Develop and implement effective data management strategies, systems, and procedures. Ensure data accuracy, adequacy, and legitimacy through established collection techniques. Maintain high standards of data quality and integrity across all datasets and sources. Monitor and evaluate the performance of data systems, recommending upgrades or new technologies as needed. Oversee data backup and recovery operations to ensure minimal disruption and secure restoration. Create and enforce policies and best practices for efficient and secure data management. Establish clear rules for data sharing with upper management, departments, and external stakeholders. Troubleshoot data-related issues and authorize necessary maintenance or enhancements. Collaborate with IT and business teams to align data initiatives with organizational goals. Stay up to date with emerging tools and technologies related to data management. The ideal candidate is analytical, technically proficient, and capable of ensuring the quality, integrity, and security of organizational data., Problem solver with sound communication skills 4-5 years of experience