Configure, support, and maintain the Tosca DI integrated with Tosca, DeX and qTest Configure and develop to test database queries and file tests of the Data ETL systems such as Data Bricks, Teradata & DB2 Build and carry out prescreening file tests, field tests and more to ensure a high level of data integrity in the NS data ecosystem. Develop the Reconciliation tests for the Dataset comparisons Develop the Tests to identify the delta changes between the source and target after the Data migration. Develop the parallel execution methodology for reconciliation testing in the active data migration stage between source and target database systems. Design and develop the automation framework using DI for the daytoday data ETL testing life Develop the Integration between the Databases onprem and Cloud for testing/verification purposes Develop the Test cases in DI and automate them in Tosca to run in DeX to support the post migration efforts for the Row counts test when there is a change event occurred in the source data. Design and develop key reports to reflect the key metrics of the Data testing for the Management purposes. Design and Develop the DI Monitoring procedures Coordinate with vendors for Core Systems and Integrated Systems for support activities and triage of issues. Represent the Quality COE team for the projects assigned by team management Provide product training and guidance for Core Systems and Integrated systems Research / architect / design / implement new testing technologies and integrations related to Tosca DI Additional Test Engineer duties Adopt and utilize the best practices and standard processes established by the QCOE for test management and test execution Lead discussions and actively communicate with test lead, scrum master, project manager, business partners, and application developers for test management and test development activities Decompose user stories to develop and design robust test cases and complete test scenarios Report bugs in Jira linked to qTest project Execute automated test cases in Tosca leveraging existing integrated technologies such as DEX, qTest/Launch, Sauce Labs, Jenkins CI/CD pipelines, and others as defined Coordinate with the QCOE for peer review of test design strategy, automated test cases, and adoption/adherence of standards and best practices Perform/support unit testing, integration testing, regression testing, and user acceptance testing activities Performance testing and/or support of performance testing may be required Adopt/adhere to execution of RTM (Requirements Traceability Matrix) in qTest to ensure proper requirements to test case coverage Identify the gaps in the test cases and create the missing requirements / test cases for the gaps Provide product, skill training and best practices knowledge to other team members for test management and automation

Database Development: Design, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development Query Optimization: Write and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation Data Modeling: Design logical and physical data models, and create efficient database schemas to meet business requirements Data Integration: Develop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools Performance Tuning: Analyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance Database Maintenance: Perform database management tasks, including backups, restores, index maintenance, and database monitoring Collaboration: Work closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs Troubleshooting & Debugging: Identify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies Security & Compliance: Ensure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data Documentation: Create and maintain documentation for database schemas, processes, and procedures Skills Must have 7+ years of experience in SQL Server Database Development Bachelors degree in Computer Science, Information Systems, or a related field (or equivalent experience) Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers Experience with SQL Server 2016/2019 or later versions Strong understanding of database design, normalization, and data modeling Experience with SSIS (SQL Server Integration Services) for ETL processes Proficiency in performance tuning, including query optimization and indexing strategies Experience in database security, including role-based permissions and data encryption Familiarity with database backup, restore, and disaster recovery procedures Experience with version control systems like Git for managing database scripts Strong analytical and problem-solving skills Excellent communication and teamwork skills Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services) Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies Familiarity with PowerShell scripting for database automation Understanding of Agile methodologies and experience working in an Agile development environment Experience with DevOps tools for database CI/CD automation

Database Development: Design, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development Query Optimization: Write and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation Data Modeling: Design logical and physical data models, and create efficient database schemas to meet business requirements Data Integration: Develop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools Performance Tuning: Analyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance Database Maintenance: Perform database management tasks, including backups, restores, index maintenance, and database monitoring Collaboration: Work closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs Troubleshooting & Debugging: Identify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies Security & Compliance: Ensure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data Documentation: Create and maintain documentation for database schemas, processes, and procedures Skills Must have 7+ years of experience in SQL Server Database Development Bachelors degree in Computer Science, Information Systems, or a related field (or equivalent experience) Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers Experience with SQL Server 2016/2019 or later versions Strong understanding of database design, normalization, and data modeling Experience with SSIS (SQL Server Integration Services) for ETL processes Proficiency in performance tuning, including query optimization and indexing strategies Experience in database security, including role-based permissions and data encryption Familiarity with database backup, restore, and disaster recovery procedures Experience with version control systems like Git for managing database scripts Strong analytical and problem-solving skills Excellent communication and teamwork skills Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services) Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies Familiarity with PowerShell scripting for database automation Understanding of Agile methodologies and experience working in an Agile development environment Experience with DevOps tools for database CI/CD automation

Job Description Role: Data Engineer Experience level: 5 to 7 years Location: Chennai Can you say Yes, I have! to the following? Good understanding of distributed system architecture, data lake design and best practices Working knowledge of cloud-based deployments in AWS, Azure or GCP Coding proficiency in at least one programming language (Scala, Python, Java) Experience in Airflow is preferred Experience in data warehousing, relational database architectures (Oracle, SQL, DB2, Teradata) Expertise in Big Data storage and processing platform (Hadoop, Spark, Hive, HBASE) Skills: Problem solver, fast learner, energetic and enthusiastic Self-motivated and highly professional, with the ability to lead, and take ownership and responsibility Adaptable and flexible to business demands Can you say Yes, I will! to the following? Lead analytical projects and deliver value to customers Coordinate individual teams to fulfil client requirements and manage deliverables Communicate and present complex concepts to business audiences Manage and strategize business from an analytics point of view Travel to client locations when necessary Design algorithms for product development and build analytics-based products

Responsibilities The role requires strong previous experience as an analyst in Data related functions and platforms, performing impact assessments, data discovery, data lineage, current state gap analysis for complex data requirements Experience within Financial services preferred, ideally with exposure to the Banking and Finance data domain. A natural ability to effectively influence and collaborate with multiple technical and non-technical groups of stakeholders, and work well with a range of internal cross functional teams is highly desirable. Define problems and opportunities. Perform business technical data analysis that can be used to support or challenge business outcomes Effectively communicating requirements to stakeholders, managing conflicts, issues and changes in order to ensure that stakeholders and project team members remain in agreement on solution scope Skills Must have 8-12 years of experience as a SQL developer in Microsoft environment. Ability to write complex queries and optimize, handle large volumes and remain efficient in a production setting Good knowledge in Database data structures, Data-warehouse Need a bright and eager to learn candidate for this role Some exposure/understanding of banking/financial market Balance sheet management exposure: great plus Technical knowledge of writing complex queries/stored procedures. Understanding of data architecture and advanced data analysis skills Good communication skills. Must be able to understand requirements and explain technical solutions to business stakeholders and the team. Excellent troubleshooting and analytical skills. Able to investigate, analyse and troubleshoot tasks. Experience in query optimization. Familiarity with SSI packages for integration and execution of the stored procedure. Track record of data analysis and writing SQL queries/stored procedure in large-scale applications and transformations. Nice to have A track record working as a developer in the Financial Service Industry or exposure to loans, interest rates, balance sheet related applications/datasets is desirable but not mandatory.

Responsibilities The role requires strong previous experience as an analyst in Data related functions and platforms, performing impact assessments, data discovery, data lineage, current state gap analysis for complex data requirements Experience within Financial services preferred, ideally with exposure to the Banking and Finance data domain. A natural ability to effectively influence and collaborate with multiple technical and non-technical groups of stakeholders, and work well with a range of internal cross functional teams is highly desirable. Define problems and opportunities. Perform business technical data analysis that can be used to support or challenge business outcomes Effectively communicating requirements to stakeholders, managing conflicts, issues and changes in order to ensure that stakeholders and project team members remain in agreement on solution scope Skills Must have 8-12 years of experience as a SQL developer in Microsoft environment. Ability to write complex queries and optimize, handle large volumes and remain efficient in a production setting Good knowledge in Database data structures, Data-warehouse Need a bright and eager to learn candidate for this role Some exposure/understanding of banking/financial market Balance sheet management exposure: great plus Technical knowledge of writing complex queries/stored procedures. Understanding of data architecture and advanced data analysis skills Good communication skills. Must be able to understand requirements and explain technical solutions to business stakeholders and the team. Excellent troubleshooting and analytical skills. Able to investigate, analyse and troubleshoot tasks. Experience in query optimization. Familiarity with SSI packages for integration and execution of the stored procedure. Track record of data analysis and writing SQL queries/stored procedure in large-scale applications and transformations. Nice to have A track record working as a developer in the Financial Service Industry or exposure to loans, interest rates, balance sheet related applications/datasets is desirable but not mandatory.

Responsibilities The role requires strong previous experience as an analyst in Data related functions and platforms, performing impact assessments, data discovery, data lineage, current state gap analysis for complex data requirements Experience within Financial services preferred, ideally with exposure to the Banking and Finance data domain. A natural ability to effectively influence and collaborate with multiple technical and non-technical groups of stakeholders, and work well with a range of internal cross functional teams is highly desirable. Define problems and opportunities. Perform business technical data analysis that can be used to support or challenge business outcomes Effectively communicating requirements to stakeholders, managing conflicts, issues and changes in order to ensure that stakeholders and project team members remain in agreement on solution scope Skills Must have 8-12 years of experience as a SQL developer in Microsoft environment. Ability to write complex queries and optimize, handle large volumes and remain efficient in a production setting Good knowledge in Database data structures, Data-warehouse Need a bright and eager to learn candidate for this role Some exposure/understanding of banking/financial market Balance sheet management exposure: great plus Technical knowledge of writing complex queries/stored procedures. Understanding of data architecture and advanced data analysis skills Good communication skills. Must be able to understand requirements and explain technical solutions to business stakeholders and the team. Excellent troubleshooting and analytical skills. Able to investigate, analyse and troubleshoot tasks. Experience in query optimization. Familiarity with SSI packages for integration and execution of the stored procedure. Track record of data analysis and writing SQL queries/stored procedure in large-scale applications and transformations. Nice to have A track record working as a developer in the Financial Service Industry or exposure to loans, interest rates, balance sheet related applications/datasets is desirable but not mandatory.

Description: Position Overview : Looking for an experienced data automation professional who will be working as the QA automation analyst in one of the leading squads at our fleet and drive the core automation activities. Be able to create end to end automation scripts covering all the touchpoints in the SIT / UAT env as part of system and integration testing Experience in crafting time wide automation test strategy across application for the squad functionalities Understand the design patterns Writing reusable Object oriented codes managing common frameworks across multiple teams Work with business and dev partners bridging gap between functional and automation delivery Should be able to lead and drive from the technical front representing the squad QA & make sure that the squad automation deliverables are met on sprint to sprint basis Participate on QA decision making processes and share valuable inputs to the team members Provide recommendations on existing QA standards and methodologies Storing and maintain the repository for regression Extensive knowledge on build management CI/CD tools like Gradle Maven Teamcity Exposure to databases for data identification and creation. Skill Set: Primary skills o 2-4 years of QA experience o Functional testing - 3 years minimum o Test automation experience in any scripting language o DB testing experience and strong experience in SQL 1 year minimum o Able to test the data ingestion/curation pipelines (Teradata to Snowflake File to Snowflake). o Able to reconcile data across the data platforms as part of the testing by running SQL scripts (manual or automated). o Familiar with Snowflake ecosystem (hands on with writing SQL in the Snowflake query interface at least). o Familiar with the test artifacts (test strategy test cases defect logs status report). o Familiar with the UNIX file system and file manipulation commands. o Familiar with devops processes from testing perspective. o Familiar with the data warehouse and database concepts. o Able to write non-functional and negative test cases. o Familiar with testing batch jobs in an enterprise data warehouse setup. Additional Details Global Grade : B Remote work possibility : Yes Global Role Family : 60236 (P) Software Engineering Local Role Name : 6504 Developer / Software Engineer Local Skills : 5151 ETL Testing Languages Required: : English

CGI is looking for a strong Production support position with following skillset. Essential skills: Mid to Senior level (6-10 years) offshore resource to support US EST Time (1PM-10PM EST). Must have strong experience working with Unix commands and Unix Scripting. Should have a good knowledge in Oracle Database and SQL Good hands-on with Oracle SQL troubleshooting Exposure with Banking domain would be recommended Able to work in a production support environment. Should be able to work with L1 support team. Good Communication is must. Skills: Oracle Unix Banking Teradata

Join us as a Software Engineer at Barclays, where you'll spearhead the evolution of our digital landscape driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Software Engineer you should have experience with: Hands-on experience in Hadoop and its related tools Experience in integrating Hadoop with cloud native technologies Teradata - Deep understanding of architecture , performance tuning and large-scale data integration Hands-on experience in ETL tools - Ab-initio Proficiency in designing, optimizing and orchestrating ETL workflows Advanced SQL skills for querying and optimizing large datasets Experience in Python/Pyspark or other scripting languages for data transformation, automation and orchestration. Additional relevant skills that are highly valued: Hands-on experience in AWS S3, Glue Athena, Step Functions, Lambda, Service Catalog You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Chennai. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Job description Location: Pan India Experience: 7+ years Job Type: 3 years Contractual Work Mode: Hybrid (Frequent On-Site Travel) Key Responsibilities: Understanding & hands on experience of different data stages (streaming, data integration, cleansing, preparing, modelling, visualising) Designing and developing business intelligence solutions Developing and maintaining of BI products(Dashboards, Reports) Ability to understand business requirements & translate into technical requirements to produce multiple BI products. Analyzing data to identify trends and pattems Continuous Engagement with technical stakeholders to ensure data availability and integrity Continuous Engagement with Business stakeholders and decision makers to provide analytical demands and proactive reporting. Documentations of projects/tasks related activities. Qualifications: 7+ Years of experience Experience in building the projects within the telecom sector Knowledge of Data warehouse modelling( ex: Teradata communication Logical Data Model) Experience in building Microstrategy dashboards/ reports & Microstrategy administration. SQL Experience. Candidate should be ready to travel abroad.

Elevate your career as a Senior Data Scientist and join a pioneering team in the auto lending sector. As a Data Scientist associate Senior within the Marketing Analytics division, you will drive data-driven strategies and deliver insights that shape marketing initiatives, with direct impact at the executive level. Job responsibilities Develop and implement advanced analytics solutions to enhance data quality and minimize redundancy. Simplify and integrate complex data sets for seamless cross-organizational use. Transform data into strategic insights and present compelling narratives to stakeholders for informed decision-making. Lead the production, optimization, and automation of key reports. Analyze marketing data to uncover customer behavior and trends across channels. Evaluate the impact of marketing OKRs on business performance. Strategically manage and enhance key marketing reports to support business objectives. Required qualifications, capabilities, and skills Bachelors or Masters degree in a quantitative discipline (Finance / Stats / Econ / Math / Engineering) or equivalent work/training. Seven years of analytics experience, with a focus on marketing analytics. Advanced knowledge of machine learning and statistical methods. Experience in analytical languages (Python, SAS, etc.) and relational databases (SQL, Snowflake, Teradata). Strong communication skills to present to and collaborate with business partners. Strong analytical, interpretive, and problem-solving skills, which will require the ability to synthesize/analyze diverse information and develop recommendations from observed outcomes. Ability to create and own principal work streams that have major impacts on business health. Preferred qualifications, capabilities, and skills Capable to mentor individuals in the team.

Location: Bengaluru Years of Experience: At least 10 years Annual Salary: Negotiable About Aereo: Aereo (Formerly Aarav Unmanned Systems) is India s leading drone solution startup in the commercial segment. We provide end-to-end solutions to enterprises in the fields of mining, urban planning, infrastructure, irrigation, agriculture, and energy. We began in the research labs of IIT Kanpur in 2013 and are now the market leaders in the industry. Our vision is to solve real-world challenges and deliver a large-scale impact using drone technology. We ve continued to innovate over the last decade with 15+ patents, 15+ million acres of area mapped, and 120+ million lives impacted. We are funded by some of the known early-stage Indian VCs such as 500 Startups, GrowX Ventures, 3One4 Capital, and more. We love aerial robots and believe that drones will shape the future of the world. Aereo is on the lookout for talented individuals with a passion for drone technology to join our rapidly growing team! Are you self-driven and process-oriented? This is your chance to come aboard the largest drone revolution. You would be part of: Leading scientists and analysts on the team and overseeing research and development projects at various stages ranging from initial exploration to deployment into production systems. Work closely with product teams to implement algorithms with Python and/or R Design and implement scalable predictive models, and classifiers leveraging machine learning, and data regression. Research business domain and develop use cases to support enterprise-wide AI solutions. Reporting results in a scientifically rigorous way. Interacting with other scientists, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for our products. Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations. We expect you to: Have 7+ years of experience building quantitative solutions as a scientist or science manager. Have 4+ years of experience managing scientists or machine learning engineers. Have a Bachelor s/Master s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience Have extensive programming experience with Python Have strong written and verbal communication skills Have a very strong grasp of software engineering concepts with a strong algorithms/data structures background. Have a background in building systems with a major machine learning library such as Tensorflow or Pytorch. Have background in applying deep learning to real problems and knowledge of a major framework Have experience with common data science toolkits, such as Scikit, NumPy, and R libraries - Excellence in at least one of these is mandatory. Have experience analysing very large, complex, multi-dimensional data sets. Have experience with one or multiple of the following; Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, Big Query Have an excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. Have experience in selecting features, building and optimizing classifiers using machine learning techniques. Have experience in working with Geospatial datasets. Have good knowledge of statistics skills, such as distributions, statistical testing, regression, etc. Have demonstrated a history of building prototypes to win business confidence. You are awesome if you: Have 10+ years of building quantitative solutions as a scientist or science manager experience Have 1+ years of experience with AWS SageMaker ML workflow for geospatial data. Experienced with Computer vision-related problems and approaches Have experience working with drone imagery and videos. Desired Skills ML, Data Science, Python, R, Statistics, Data Handling, OpenCV, Tensorflow, Keras, Pytorch, AWS Sagemaker, Deep Learning, CNN

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

Job Description Summary This is a critical position in a globally distributed organization, presents a unique opportunity to develop products that define healthcare solutions globally. As a Staff Software Engineer, you will spearhead the design and development of innovative products. Your role will involve leading a team of skilled engineers, collaborating with cross-functional teams, and ensuring the delivery of high-quality solutions that meet customer needs. You will be responsible for setting technical direction, overseeing the architecture and implementation of cloud services, and driving continuous improvement in development processes. Your expertise in BI and leadership skills will be crucial in shaping the future of our product offerings. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Roles and Responsibilities In this role, you will: Provide Technical Leadership to define, design, develop and support software in a fast paced, Agile environment using latest software development technologies and infrastructure Provide technical guidance to a team of 5 to 7 developers on design and development of software on latest cutting edge technologies Understand whole product, its modules and the interrelationship between them while being an expert on the product Work with Product Managers, Program Managers, Service and support to translate product requirements, vision and gaps to working software Identify the scope of the work, own and deliver on work estimates Lead technical discussions, technical designs, define interfaces between code modules and apply existing technology to designs Maintain code quality through best practices, unit testing and automation. Establish coding standards and conduct regular code reviews to ensure delivery of product with high-quality. Be an expert in writing code that meets standards and delivers the desired functionality using the technology selected for the project Demonstrate the ability to make informed technology choices after due diligence and impact assessment Assess application performance, scalability, security, multi tenancy, cost and optimize through design, technology and best coding practices Be an expert on core data structures as well as algorithms and have the ability to implement them using language of choice Education Qualification Bachelors Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with minimum 10 years of relevant work experience Technical Expertise 10 years of professional experience on Tableau Desktop. Experience with Server administration Demonstrate expertise in developing and operating Tableau-driven dashboards and analytics Solid understanding of SQL, relational database management system, data modelling, and normalization Proven ability to query and show massive data sets while optimizing workbook performance Experience in any of the programming languages, preferably Python. Experience working with Agile/Scrum software development methodologies Tableau Certified Data Analyst or equivalent certification is preferred. Experience in handling large volume of data from multiple tables, complex joins, performance optimization and fine-tuning queries as needed Proficient in Data warehouse design and schemas like Snowflake, Star, fact and dimension tables, logical and physical modelling Experience in using ETL/DB/Distributed data processing tools (e.g. Hadoop, Teradata, etc.) is an added advantage Business Acumen Strong problem-solving abilities and capable of articulating specific technical topics or assignments Experience in building scalable and highly available distributed systems Expert in breaking down problems and estimate time for development tasks Evangelizes how our technology solves customer problems from a technology and business perspective Leadership Demonstrates clarity of thinking to work through limited information and vague problem definitions Influences through others; builds direct and "behind the scenes" support for ideas Proactively identifies and removes project obstacles or barriers on behalf of the team Shares knowledge, power, and credit, establishing trust, credibility, and goodwill Personal Attributes Able to work under minimal supervision Excellent communication skills and the ability to interface with senior leadership with confidence and clarity Able to work well with global teams, including time-zone flexibility Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Disclaimer: GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare. If you suspect you have received a fraudulent call , please fill out the form below: https: / / www.ge.com / careers / fraud #LI-MA6 Additional Information Relocation Assistance Provided: Yes

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar , youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled IT Analyst Applications (Junior Data Engineer) to join our Financial Systems Tech Support - CAT IT Team. The incumbent will have a good foundation in data engineering principles, a keen analytical mindset, and the ability to work collaboratively in a fast-paced environment. As a Junior Data Engineer, you will play a critical role in designing, developing, and maintaining data pipelines and infrastructure to support our organizations data needs. The preference for this role is to be based out of Bangalore, PSN Office What you will do Job Responsibilities may include, but are not limited to: Data Pipeline Development Develop, and maintain scalable and reliable data pipelines to ingest, process, and store large volumes of data from various sources. Implement data workflows using ETL (Extract, Transform, Load) processes to ensure data quality and integrity. Data Integration and Management Collaborate with data architects, product owners, business analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs. Integrate data from multiple sources, including databases, APIs, and external data providers, into a unified data platform. Manage and optimize data storage solutions, ensuring efficient data retrieval and processing. Data Quality and Governance Implement data quality checks and validation processes to ensure the accuracy and consistency of data. Adhere to data governance policies and best practices to maintain data security and compliance. Performance Optimization Monitor and optimize data pipeline performance to ensure timely and efficient data processing. Identify and resolve performance bottlenecks and system issues to maintain data pipeline reliability. Documentation and Collaboration Document data engineering processes, workflows, and solutions for future reference and knowledge sharing. Collaborate with cross-functional teams to support data-driven decision-making and project initiatives. What you will have Bachelor s degree in computer science, Information Technology, Data Science, or a related field. 1-3 years of experience in data engineering, data analysis, or software development. Strong experience on advanced SQL any Database. (Oracle, Teradata, snowflake). Experience in data integration area and hands on experience in any of the ETL tools like Datastage , Informatica , Snaplogic etc. Able to transform technical requirements into data collection query. Should be capable of working with business and other IT teams and convert the requirements into queries. Good understanding of ETL architecture and design. Good knowledge in UNIX commands, Databases, SQL, PL/SQL Good to have an experience on AWS Glue Good to have knowledge on Qlik replication tool Soft Skills Good analytical and problem-solving skills with attention to detail. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. Ability to manage multiple tasks and prioritize workload in a fast-paced environment. Eagerness to learn new technologies and stay updated with industry trends. Skills desired: Technical Analysis: Knowledge of the concepts, methodologies, and activities in technical analysis; ability to forecast the direction of technical landscape using technical indicators and take collective actions. Level Basic Understanding: Lists commonly used technical analysis tools and technologies. Documents key technical analysis procedures and policies. Describes basic concepts and major activities associated with technical analysis. Identifies the sources of information to extract the required data and technical indicators. IT Environment: Knowledge of an organizations IT purposes and activities; ability to create an effective IT environment for business operations. Level Basic Understanding: Names key IT departments, functions, and players. Gathers information on key IT initiatives and projects. Describes key activities performed by IT professionals and managers. Identifies major roles and responsibilities of the IT function. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Basic Understanding: Cites examples of functional and non-functional requirements. Describes basic concepts and major activities associated with requirements analysis. Explains the life cycle context and scope of requirements analysis. Explains the structure and components of effective requirements analysis documents. What you will get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Caterpillar is an Equal Opportunity Employer (EEO) EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Posting Dates: Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar , youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled IT Analyst Applications (Junior Data Engineer) to join our Financial Systems Tech Support - CAT IT Team. The incumbent will have a good foundation in data engineering principles, a keen analytical mindset, and the ability to work collaboratively in a fast-paced environment. As a Junior Data Engineer, you will play a critical role in designing, developing, and maintaining data pipelines and infrastructure to support our organizations data needs. The preference for this role is to be based out of Bangalore, PSN Office What you will do Job Responsibilities may include, but are not limited to: Data Pipeline Development Develop, and maintain scalable and reliable data pipelines to ingest, process, and store large volumes of data from various sources. Implement data workflows using ETL (Extract, Transform, Load) processes to ensure data quality and integrity. Data Integration and Management Collaborate with data architects, product owners, business analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs. Integrate data from multiple sources, including databases, APIs, and external data providers, into a unified data platform. Manage and optimize data storage solutions, ensuring efficient data retrieval and processing. Data Quality and Governance Implement data quality checks and validation processes to ensure the accuracy and consistency of data. Adhere to data governance policies and best practices to maintain data security and compliance. Performance Optimization Monitor and optimize data pipeline performance to ensure timely and efficient data processing. Identify and resolve performance bottlenecks and system issues to maintain data pipeline reliability. Documentation and Collaboration Document data engineering processes, workflows, and solutions for future reference and knowledge sharing. Collaborate with cross-functional teams to support data-driven decision-making and project initiatives. What you will have Bachelor s degree in computer science, Information Technology, Data Science, or a related field. 1-3 years of experience in data engineering, data analysis, or software development. Strong experience on advanced SQL any Database. (Oracle, Teradata, snowflake). Experience in data integration area and hands on experience in any of the ETL tools like Datastage , Informatica , Snaplogic etc. Able to transform technical requirements into data collection query. Should be capable of working with business and other IT teams and convert the requirements into queries. Good understanding of ETL architecture and design. Good knowledge in UNIX commands, Databases, SQL, PL/SQL Good to have an experience on AWS Glue Good to have knowledge on Qlik replication tool Soft Skills Good analytical and problem-solving skills with attention to detail. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. Ability to manage multiple tasks and prioritize workload in a fast-paced environment. Eagerness to learn new technologies and stay updated with industry trends. Skills desired: Technical Analysis: Knowledge of the concepts, methodologies, and activities in technical analysis; ability to forecast the direction of technical landscape using technical indicators and take collective actions. Level Basic Understanding: Lists commonly used technical analysis tools and technologies. Documents key technical analysis procedures and policies. Describes basic concepts and major activities associated with technical analysis. Identifies the sources of information to extract the required data and technical indicators. IT Environment: Knowledge of an organizations IT purposes and activities; ability to create an effective IT environment for business operations. Level Basic Understanding: Names key IT departments, functions, and players. Gathers information on key IT initiatives and projects. Describes key activities performed by IT professionals and managers. Identifies major roles and responsibilities of the IT function. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Basic Understanding: Cites examples of functional and non-functional requirements. Describes basic concepts and major activities associated with requirements analysis. Explains the life cycle context and scope of requirements analysis. Explains the structure and components of effective requirements analysis documents. What you will get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Caterpillar is an Equal Opportunity Employer (EEO) EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Posting Dates: Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

DataStage, ControlM, Unix, shell scripting & Teradata PAN India Location Minimum 8+ years of experience in Designing and development on DataStage Expertise in Data Warehousing ETL Tool DataStage using Components like DataStage Designer, DataStage Director and DataStage Operations Console. Strong understanding of Data warehousing concepts, dimensional Star Schema and Snowflakes Schema methodology. Expertise in designing DataStage Server jobs, Parallel Jobs, Job Sequencing, Creating Parameter Sets, Container, Environment Variables and Creating Parallel Routines, Data Cleansing and Writing Transformation expressions to derive values and remove unwanted data. Also, should have good working knowledge in different stages like Transformer, look up, merge stage, ODBC connector, Oracle connector etc. Having good knowledge on Teradata Fast Load, Teradata Multiload, Teradata TPump

Can you say Yes, I have! to the following? Good understanding of distributed system architecture, data lake design and best practices Working knowledge of cloud-based deployments in AWS, Azure or GCP Coding proficiency in at least one programming language (Scala, Python, Java) Experience in Airflow is preferred Experience in data warehousing, relational database architectures (Oracle, SQL, DB2, Teradata) Expertise in Big Data storage and processing platform (Hadoop, Spark, Hive, HBASE) Skills: Problem solver, fast learner, energetic and enthusiastic Self-motivated and highly professional, with the ability to lead, and take ownership and responsibility Adaptable and flexible to business demands Can you say Yes, I will! to the following? Lead analytical projects and deliver value to customers Coordinate individual teams to fulfil client requirements and manage deliverables Communicate and present complex concepts to business audiences Manage and strategize business from an analytics point of view Travel to client locations when necessary Design algorithms for product development and build analytics-based products

Role : Teradata Developer We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services Job Description: 6+ years of Hands-on Informatica PowerCenter and Teradata experience 5+ years experience in Data Warehousing. Working knowledge of AGILE SDLC methodology Experience with design and implementation of ETL framework for complex ware houses marts. Knowledge of large data sets and experience with performance tuning and troubleshooting Experience and desire to work in a Global delivery environment Hands-on development with a willingness to troubleshoot and solve complex problems Good understanding of Data Integration Data Quality and data architecture Good expertise in impact analysis due to changes or issues Good experience in end-to-end implementation of DW BI projects especially in data warehouse and mart developments Excellent oral and written communications skills; ability to interact effectively with all levels within the organization Ability to interact and work effectively with technical & non-technical levels within the organization Excellent organizational skills including the ability to prioritize tasks efficiently with a high level of attention to detail Experience managing team sizes of 2-3 would be a plus Excellent analytical and problem-solving skills

Role: Teradata Data Analyst We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services. Job Description: Teradata Data Analyst: Overall 9+ years of experience in IT design, development, testing and production support 4+ years of experience in Data Analysis, Report generation, Maintenance of business report processes and data verifications and validations Experienced with different relational databases like Teradata, Oracle and SQL server Experienced in interacting with users, Analyzing client business processes, Documenting business requirements, Performing Design Analysis and Developing design specifications Experienced in Financial (Credit card and banking) Extensive SQL experience in querying, data extraction and data transformations Experienced in writing numerous SQL queries and performing ADHOC analysis Experienced working on large volume of data using Teradata SQL Possess strong analytical and problem solving skills and have quick learning curve Experienced in writing design documents, Test plans and test scenarios/test cases and documentation of test results Good communication and interpersonal skills.

Job Title: Data Analyst Position: Senior Software Engineer Experience: 6 - 8 Years Category: Software Development/ Engineering Main location: Bangalore/Hyderabad/Chennai Position ID: J0325-0697 Employment Type: Full Time Works independently under limited supervision and applies knowledge of subject matter in Applications Development. Possess sufficient knowledge and skills to effectively deal with issues, challenges within field of specialization to develop simple applications solutions. Second level professional with direct impact on results and outcome. Qualification: Bachelors degree in Computer Science or related field or higher with minimum 4 years of relevant experience. Development experience in data technologies. Experienced with data wrangling and preparation for use within data science, business intelligence or similar analytical functions required. Experience in data technologies - Hadoop PySpark / Scala (Any one) Experience in Database - [ RDBMS(Oracle/Teradata) / Hive - Impala / Mongo] at least two. Experience in Analytics and reporting (Tableau). (Good to have). Coordinate with Team for project deliverables , Lead and document project status meetings Highly organized with good time management skills and Customer service orientation Required qualifications to be successful in this role: Position: Senior Software Engineer Experience: 6 - 8 Years Main location: Hyderabad/Bangalore/Chennai Must-Have Skills: Minimum 6-8 year s experience in data technologies. Minimum 5 years SQL, Hadoop, SQL Server, Oracle, Ability to take business requirements and transform them into SQL Experienced with data wrangling and preparation for use within data science, business intelligence or similar analytical functions required. Experience in data technologies - SQL, Hadoop, SQL Server, Oracle Good-to-Have Skills: Experience in Analytics and reporting Experience in banking & finance industry Skills: Data Engineering Oracle SQL Hadoop Hive Python .

Are you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and encouraging team, and receive investment in your professional developmentAt DTCC, we are at the forefront of innovation in the financial markets. Were committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We develop a growing internal community and are committed to creating a workplace that looks like the world that we serve. Pay and Benefits: Competitive compensation, including base pay and annual incentive. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (Tuesdays, Wednesdays, and a day unique to each team or employee). The impact you will have in this role: Data Quality and Integration role is a highly technical position - considered a technical expert in system implementation - with an emphasis on providing design, ETL, data quality and warehouse modeling expertise. This role will be accountable for, knowledge of capital development efforts. Performs in an experienced level the technical design of application components, builds applications, interfaces between applications, and understands data security, retention, and recovery. Can research technologies independently and recommend appropriate solutions. Contributes to technology-specific best practices & standards; gives to success criteria from design through deployment, including, reliability, cost-effectiveness, performance, data integrity, maintainability, reuse, extensibility, usability and scalability; gives expertise on significant application components, vendor products, program languages, databases, operating systems, etc, completes the plan by building components, testing, configuring, tuning, and deploying solutions. Software Engineer (SE) for Data Quality and Integration applies specific technical knowledge of data quality and data integration in order to assist in the design and construction of critical systems. The SE works as part of an AD project squad and may interact with the business, Functional Architects, and domain experts on related integrating systems. The SE will contribute to the design of components or individual programs and participates fully in the construction and testing. This involves working with the Senior Application Architect, and other technical contributors at all levels. This position contributes expertise to project teams through all phases, including post-deployment support. This means researching specific technologies, and applications, and contributing to the solution design, supporting development teams, testing, troubleshooting, and production support. The ASD must possess experience in integrating large volumes of data, efficiently and in a timely manner. This position requires working closely with the functional and governance functions, and more senior technical resources, reviewing technical designs and specifications, and contributing to cost estimates and schedules. What Youll Do: Technology Expertise - is a domain expert on one or more of programming languages, vendor products specifically, Informatica Data Quality and Informatica Data Integration Hub, DTCC applications, data structures, business lines. Platforms - works with Infrastructure partners to stand up development, testing, and production environments Requirements Elaboration - works with the Functional Architect to ensure designs satisfy functional requirements Data Modeling - reviews and extends data models Data Quality Concepts - Experience in Data Profiling, Scorecards, Monitoring, Matching, Cleansing Is aware of frameworks - that promote concepts of isolation, extensibility, and extendibility System Performance - contributes to solutions that satisfy performance requirements; constructs test cases and strategies that account for performance requirements; tunes application performance issues Security - implements solutions and complete test plans working mentoring other team members in standard process Standards - is aware of technology standards and understands technical solutions need to be consistent with them Documentation - develops and maintains system documentation Is familiar with different software development methodologies (Waterfall, Agile, Scrum, Kanban) Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately Educational background and work experience that includes mathematics and conversion of expressions into run time executable code. Ensures own and team s practices support success across all geographic locations Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior. Helps roll out standards and policies to other team members. Financial Industry Experience including Trades, Clearing and Settlement Education: Bachelors degree or equivalent experience. Talents Needed for Success: Minimum of 3+ years in Data Quality and Integration. Basic understanding of Logical Data Modeling and Database design is a plus Technical experience with multiple database platforms: Sybase, Oracle, DB2 and distributed databases like Teradata / Greenplum / Redshift / Snowflake containing high volumes of data. Knowledge of data management processes and standard methodologies preferred Proficiency with Microsoft Office tools required Supports team in managing client expectations and resolving issues on time. Technical skills highly preferred along with strong analytical skills. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. Please contact us to request accommodation.

We are seeking a Data Engineer to join our Parts Revenue Management product line. The ideal candidate will have strong expertise in SQL and a deep understanding of GCP-native services. This role offers the opportunity to work in a fast-paced, dynamic environment, collaborating with multiple technology and business stakeholders. You will gain hands-on experience with cutting-edge technologies, including Big Query, GCP-native ETL services, CI/CD pipelines and Cloud Scheduler tools. Requirements: Minimum 5+ years of experience in complex SQL development. At least 2+ years of Cloud experience (GCP preferred) with solutions designed and implemented at production scale. Strong understanding of key GCP services, especially those related to data processing [Batch/Real Time] leveraging Terraform, Big Query, BQSQL, Dataflow, DataFusion, DataProc, Cloud Build, Airflow & Pub/Sub. Experience in analysis, design, development, implementation using Data Warehousing applications for example IBM DataStage/Dataflow/DataProc. Experience in integrating various data sources like Oracle, Teradata, DB2, Big Query and Flat files. Experience in designing jobs by using various Stages like Look-up, Filter, Sort, copy, remove duplicates, Join, Funnel and Aggregator. Experience in debugging ETL jobs to check in for the errors and warnings associated with each Job run. Hands on experience in Tuning Jobs process identifying and resolve performance in Parallel Jobs. Involving in review meetings and coordinating with the team in job designing and fine-tuning the job performance. Good experience in Autosys or Astronomer, Accurev and GitHub. Having Mainframe background would be preferred and added advantage to this role. #LI-KS3

About this role: Wells Fargo is seeking an Analytics Consultant. In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Excellent verbal, written, and interpersonal communication skills. Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense) Experience identifying internal and external data sources from multiple sources across the business Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server. Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience in data visualization and business intelligence tools. Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Demonstrated strong analytical skills with high attention to detail and accuracy. Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Ability to support multiple projects with tight timelines Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience. Experience researching and resolving data problems and working with technology teams on remediation of data issues Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS Knowledge of Defect management tools like HP ALM. Knowledge of Data Governance. Job Expectations: Ensure adherence to data management or data governance regulations and policies Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm. Consult with business line and enterprise functions on less complex research Understand compliance and risk management requirements for sanctions compliance and data management Perform analysis of findings and trends using statistical analysis and document process Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets. Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions. Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders. Responsible for testing key reports and produce process documentation. Present recommendations to maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff.