This role would be the primary leader and point of contact for ADDER's customer-facing designs and UI platform. This individual would be responsible for gathering requirements, working through designs, implementing them in code, and providing ongoing...

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking a detail-oriented, business-savvy Data Analyst who can operate across the full analytics and data governance lifecycle. This role expands beyond traditional analytics delivery by contributing to areas such as data stewardship, data governance, data quality, metadata, and lineage. What You’ll Do 1. Data Analysis, Requirements and Stewardship - Understand business objectives and translate them into clear data and analytics requirements across domains such as Risk, Finance, and Operations. - Validate business logic, metric definitions, and calculation rules with domain experts to ensure consistency and correctness. - Contribute to data stewardship activities by reviewing business definitions, surfacing data issues, andnhelping ensure data is interpreted consistently across teams. 2. Business Insight and Cross-Functional Collaboration - Partner with Business Owners, Business Analysts, and functional teams to deliver timely insights that support decision-making and business prioritization. - Work closely with Data Analysis Managers to align analytics outputs with user needs, product goals, and broader organizational initiatives. - Support ad-hoc analysis and exploratory assessment for business initiatives that require fast, contextualized interpretation of data. 3. Data Quality, Governance and Responsible Data Practices - Establish data quality rules, thresholds, and business validation logic for key data elements. - Maintain accurate metadata, business definitions, and reporting documentation to support transparency and governance. - Ensure analytics outputs adhere to PDPA, consent rules, and internal governance and protection standards. 4. Business Enablement - Design, develop, and maintain dashboards, reports, and curated datasets that support scalable, trusted, and business-aligned analytics. - Build and enhance semantic layers or shared datasets that reflect agreed business definitions and enterprise data models. - Collaborate with Data Architects and cross-functional teams to ensure analytics products follow common modeling, metadata, and naming standards. What We’re Looking For - 4+ years of experience in data analysis, BI development, or reporting roles, ideally with exposure to cross-functional business domains and proficiency in Power BI, DAX, and SQL. - Experience working with cloud-based data platforms such as Azure Data Services, Databricks, or equivalent environments. - Solid understanding of data modeling, visualization best practices, and business logic or metric validation. - Ability to communicate insights and data concepts clearly to both technical and non-technical stakeholders. - Working knowledge of data governance fundamentals, including data classification, access control, consent-aware reporting, and responsible data usage. - Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation Preferred: - Experience in banking, fintech, or other regulated industries. - Exposure to metadata and governance tools such as Unity Catalog, Azure Purview, or Power BI service administration. - Understanding of privacy-by-design principles and regulatory expectations in analytics and reporting. - Skills in Python or R for exploratory analysis or data validation (beneficial but not mandatory). - Strong interest in enabling data-driven decision-making through scalable, well-governed analytics and high-quality reporting assets. Why Join CAPCO - Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry - Work in a collaborative, flat, and entrepreneurial consulting culture - Access continuous learning, training, and industry certifications - Be part of a team shaping the future of digital financial services - Help shape the future of digital transformation across FS & Energy We offer - A work culture focused on innovation and creating lasting value for our clients and employees - Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings - A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients - An agile, diverse, entrepreneurial, inclusive, meritocratic culture Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-PW1 #LI-Hybrid

Title: Data Engineer - Talend Databricks Location: Saint Louis United States Job Description: As a Data Engineer - Talend & Databricks, you will make an impact by designing and delivering scalable data integration solutions that support large-scale processing, data quality, and downstream analytics. You will be a valued member of the data engineering team and collaborate closely with test data management teams, solution architects, and cross-functional technical partners. In this role, you will: - Build and optimize large-scale data pipelines using Databricks to support data engineering and processing needs. - Develop ETL solutions using Talend Data Integration and Talend Data Mapper to handle complex transformations. - Process healthcare data formats-including X12 (834/837), JSON, XML, flat files, and Excel-to meet business and compliance requirements. - Integrate, validate, and reconcile data across MongoDB, relational databases (Oracle, SQL Server), and target systems. - Work closely with the Test Data Management team to perform ETL operations and ensure accurate data movement into Teradata. Work model: We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants across the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered: - Proven hands-on experience with Databricks for data engineering, ETL processing, and large-scale data workflows. - Strong expertise in Talend Data Integration and Talend Data Mapper, including complex mapping and transformation logic. - Experience working with healthcare data formats, including X12 (834/837), JSON, XML, Excel, and flat files. - Solid working knowledge of MongoDB and relational databases (Oracle, SQL Server), including data validation and query development. - Basic to intermediate skills in Java and/or Python to support custom transformations, utilities, and pipeline troubleshooting. - Experience processing EDI and MongoDB data and loading into Teradata environments. These will help you stand out: - Experience supporting test data management initiatives or large enterprise data programs. - Familiarity with data quality frameworks, metadata management, or automation of data validation processes. - Exposure to cloud data ecosystems or modern data engineering tools. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary and Other Compensation: The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: - Medical/Dental/Vision/Life Insurance - Paid holidays plus Paid Time Off - 401(k) plan and contributions - Long-term/Short-term Disability - Paid Parental Leave - Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

• Building target architectures and long-term strategic roadmaps alongside Solutions, Engineering, Data and IT teams. • Become the owner of the Data Strategy on the architecture side, translating complex business needs into pragmatic, future-proof architectures. • Define and govern Enterprise Data Models and Domains, expanding beyond traditional analytics to AI/ML workloads. • Lead the architecture side of the Data Strategy, specifically designing for "AI-readiness" by integrating Feature Stores, Vector Databases and other technologies into our long-term roadmap. • Explore and validate new solutions in the data platform space based on business requirements or research. • Perform technical Proof of Concepts, document them, and assist teams in industrializing them. • Monitor new technological advances to assist teams in reducing technical debt and adopt the right tooling. • Collaborate with Data Governance and AI teams to continuously improve architecture governance practices. • Develop and maintain policies, standards, and guidelines to ensure a consistent framework is applied across the data platform. • Identify discrepancies between the technical architecture, agreed practices, and system designs proposed by project teams. • Ensure architectures adhere to data compliance frameworks (e.g., GDPR, CCPA) and ethical considerations in AI/ML model deployment. • Collaborate with Product Managers and Data Product Owners to enable Data as a Product, ensuring they are designed for reusability, scalability, and self-service consumption. • Define best practices for the development, maintenance, and lifecycle management of data products. • Act as a hands-on mentor to Data Engineering and Analytics teams, guiding them on day-to-day data modeling patterns, best practices, and execution choices. • Advise business and technical stakeholders on self-service data platform capabilities to maximize value. • Partner with IT team members to ensure architecture aligns with security strategy and policies. • Drive continuous improvement and help drive the adoption of new data tools and practices. • Apply a pragmatic approach to governance and application portfolio rationalization. • Be an active part of the D&A leadership team.