Data Analyst jobs at Tata Group

Role: Junior Process Analyst Must Have Technical/Functional Skills The role is responsible for collaborating with multidisciplinary teams focused on designing innovative services and experiences that create measurable value to our clients while meeting business objectives. The role uses independent judgement to determine methods and approaches to work, developing key client-facing “moment of truth” journeys that define a client's relationship, partnering with internal clients to articulate a vision for a new or different type of service. The role makes decisions that influence department strategy, conducting research that builds empathy with the end client, deriving key insights, co-creating solutions, all with the goal of taking the service live. The role acts as a resource integrator, conducting primary research, synthesizing multiple data sources and research insights, and working with cross-functional teams to research and design detailed solutions. What you'll be doing As a member of the Process Engineering team, you'll identify and implement process improvements that enhance client experience and generate the right kind of profitability. As a Process Engineering Specialist, you'll use your experience and direct client feedback to improve the quality of key processes that make a difference for our clients. You'll assist in the planning, development, and implementation of a process strategy that will build the bank of the future. How you'll succeed • Conducting process assessments - Perform ongoing process reviews to identify issues early on and recommend solutions to business challenges. Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience. • Presenting recommendations - Provide feedback and advice on projects that will improve processes and resolve systematic issues. Consider business needs and make practical recommendations for continuous improvement. • Leadership skills - Use your expertise in process engineering methodologies and project management to lead projects and initiatives. Proactively gather data, information, and stakeholder feedback to provide informed guidance to your team. • Maintain a collaborative work environment and support your team to resolve problems as they arise. Who you are • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way • You embrace and advocate for change. You continuously evolve your thinking and the way you work in order to deliver your best. • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. • You're a certified professional. You have current accreditation and good standing in Formal Green Belt or Black Belt certification. • You can demonstrate experience in Six Sigma or Lean Manufacturing Concepts, and process engineering or business related function (operations, strategy development, organizational design, or information t echnology). • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability. • Use data and analytics: Analyze process activities using tools like Power BI, Power Query, and VBA to support business process optimization. • Collaborate with stakeholders: Work with business and technology partners to gather feedback, define requirements, and implement improvements • Document and validate: Create detailed process maps and document future state processes. Validate solution designs and test results with business partners. Interested candidates please share me your updated resume to *******************

Title: IT Business Analyst I ) About MUFG Investor Services: MUFG Investor Services is part of Mitsubishi UFJ Financial Group - one of the world's largest financial institutions. We provide comprehensive fund administration, reporting, and transaction management services for alternative assets with a focus on Private Equity investments including fund-of-funds, secondary funds, and co-investments. At MUFG Investor Services, we foster a dynamic and supportive work environment where employees can build long-term careers. We offer competitive compensation, professional development support-including certification reimbursement - flexible work arrangements, and opportunities to give back through community service initiatives. We celebrate our employees' successes, believing that empowered individuals drive organizational excellence. If you're passionate about your work and looking to grow with a purpose-driven team, we'd love to hear from you. Job Description: MUFG is seeking an IT Business Analyst I to support dynamic initiatives within its Private Equity business. This is a remote role focused on analyzing financial processes, defining technology requirements, and partnering with agile teams to deliver impactful solutions. The position involves cross-functional collaboration across business and technology groups. Depending on project needs, responsibilities may span both business analysis and delivery management, offering a unique opportunity to contribute to end-to-end solution delivery. Essential Functions: Translate financial and accounting requirements into actionable software specifications. Conduct user interviews to identify process improvement opportunities and document current (“As-Is”) and future (“To-Be”) workflows. Troubleshoot issues in eFront FrontInvest and provide backup support for system administration. Create and maintain documentation including meeting notes, knowledge articles, and business communications. Build strong relationships with internal and external stakeholders to drive positive change. Write and manage user stories and backlog items in Team Foundation Server. Serve as the Agile Team's Scrum Master for assigned initiatives. Support prioritization decisions and manage execution of prioritized work. Collaborate with users to develop and execute test cases during system integration testing. Deliver demos of completed enhancements to end users. Work closely with developers to clarify requirements and ensure business needs are met. Ensure adherence to SDLC and Change Management processes; conduct internal audits for compliance. Act as a flexible team member, taking on overflow or backfill tasks as needed. Monitor team performance, generate reports, and lead corrective actions. Help remove obstacles that hinder team progress. Requirements: Bachelor's degree in Technology or Business Information Systems 3-5 years of experience as a Business Analyst or Business Operations Manager. Strong background in requirements gathering, testing, issue tracking, and leading technical deliveries Strong understanding of accounting/finance systems and translating business needs into software requirements Proven ability to work independently and troubleshoot technical issues Technical troubleshooting and problem solving Experience in Private Equity. Proficient in advanced Excel, PowerPoint, Word and Visio Excellent written and verbal communication skills. Self-motivated, customer-focused, and adaptable to remote work environments

The Global Markets & Risks Booking and Post Trade IT team is responsible for booking and post trade applications for Equity Derivatives, Securities Lending, Global Macro (Rates, FX, Commodities), Credit Front Office and Support Functions teams. The team is involved in the different phases of application development: user needs collection, analysis, design, implementation, delivery, support, and maintenance, within an agile framework. We are seeking a Operations IT Business Analyst specializing in: Equities Booking and Post-Trade domain, particularly in areas such as Equity/Securities Lending, Operations, Compliance, and Accounting (Loanet, Sophis, Broker Dealer back-office applications, …) Collateral Management and Cash Management in external and internal applications (Calypso…) for Global Markets activities. The candidate will primarily be involved in Business Analysis to help implement new features in the supported applications, and in functional support for end-users in Operations. He/She/They will work closely with Operations and global IT Teams and will have a good knowledge of financial products and Operations. The candidate's responsibilities will include gathering requirements from operations, writing business requirements, creating mockup screens or proofs of concept, liaising with IT developers (both locally and in Head Office), defining and executing test scripts, and coordinating with end-users for User Acceptance Testing (UAT). Additionally, the candidate will be responsible for functional support and will assist with planning and status reporting. Main responsibilities include: Business Analysis / Project Management: Collaborate closely with user representatives (traders, operations personnel, etc.) to gather and document business requirements. Conduct and document impact and gap analyses. Evaluate IT solutions to determine the best fit for business needs. Develop user stories and detailed functional specifications for IT development teams. Define and execute test scripts. Coordinate User Acceptance Testing (UAT). Engage in project scoping and planning, progress reporting, and the identification and management of issues and risks, ensuring effective communication throughout. Functional Support / Maintenance: Provide day-to-day support for Booking and Back Office applications, including booking, straight-through processing, settlement, clearing, reporting, and accounting. collateral management, cash management, straight-through processing, settlement, clearing, reporting, and accounting. Qualifications : Bachelor Degree in Computer Science / Finance Experience in IT business analysis for Back Office in the Finance industry Functional knowledge of Equity/Securities Lending activities from a operations perspective including booking, settlement, clearing, reporting and accounting for US broker dealer. Functional knowledge of Equity and fixed income activities from a collateral and cash management perspective. Knowledge of booking, settlement, clearing, reporting and accounting is a plus Familiarity with Collateral and Cash Management systems (Calypso or equivalent). Familiarity with Broker Dealer systems (e.g., Phase 3/Shadow Suite), and trading systems such as Sophis (or equivalent), Smart Loan, Loanet,. Knowledge of SQL, Jira, Confluence Strong communication skills.to effectively support the needs of Operations and Front Office teams Ability to quickly prioritize and multi-task in a fast-paced environment on multiple applications Strong analytical and problem-solving skills Detail oriented with the ability to multi-task Strong interpersonal and organizational skills Knowledge in Agile scrum practices and methodologies is a plus Natixis is an equal opportunity employer, committed to a workplace free of discrimination. Natixis will not tolerate any form of discrimination based on age, color, mental or physical handicap or disability, pregnancy, marital status, sexual orientation, national origin, alienage, ancestry or citizenship status, race, religion, sex (including sex stereotyping, gender identity, gender expression or transgender status), veteran status, creed, genetic information or carrier status, or any other protected characteristic as established by law. Respect for all means that we deal with each person as an individual and not as a member of any group. All qualified applicants will receive consideration for employment. Management is expected to provide leadership in supporting the firms EEO program by taking steps to promote EEO in all facets of employment including recruitment, hiring, retention, promotion, performance assessment, and career-development opportunities. The salary range for this position will be between $145,000 - $180,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers). We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions. Responsibilities: Analyze data to improve how the company finds, converts, and supports customers Create models that predict lead quality, conversion, and customer value Build clear dashboards and reports for leadership Work with teams across the company to answer key questions Take initiative, communicate clearly, and dig into data to solve problems Try new methods and tools to keep improving the company's GTM approach Qualifications: 5+ years related industry experience working with data and supporting business teams. Solid experience analyzing GTM or revenue-related data Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.) Comfortable owning data workflows-from cleaning and modeling to presenting insights. Able to work independently, prioritize well, and move projects forward without much direction Clear thinker and communicator who can turn data into actionable recommendations Adaptable and willing to learn new methods in a fast-paced environment About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Business Analyst (Digital Access Management, BRD, FRD, Tech Writing) Contract at Austin Texas OR Sunnyvale California On Site Required Skills and Experience - 5 + Years of Business Analyst experience - 3+ years of DAM (Digital Access Management) experience - 2-3 + years of BRD / FRD Documentation experience - Technical Writing - Training Material Documentation - Work with the business to identify their data model, vocabularies and collaborate and can be translated to a working model. - The ideal candidate will serve as a liaison between business teams, translating business needs into effective DAM solutions - This role involves requirement gathering, feature adoption, training creation, and continuous improvement of the DAM platform to maximize business value. - Create training materials to train users and Train the Trainer, being open for creativity in your delivery. (e.g. videos, slide decks, other tools). - Facilitate Office Hours for business tenants to provide educational sessions on specific features. - Identify opportunities for change and discuss for continuous improvement of the DAM platform. - Create demo videos for OneDAM such as new features, etc. - Create & maintain user guide for the application as well as new features in every release. - Review existing DAM features, proactively guiding business adoption to enhance value. - Provide ongoing support to business teams to ensure smooth operation and adoption of the DAM platform.

Thank you for stopping by to take a look at the Targit Developer role I posted here on LinkedIN, I appreciate it. I realized, a long time ago, that looking for work is about as fun as a root canal. So, due to that, I actually write my s from scratch. No use of Bots or AI (which I am now starting to call 'Alternative Intelligence')...just a real person. So, let's make a deal together here...let's all be humans...sound good? I like to add humor to these things, so if you see something that gives you a chuckle, that was the intent. In addition, you won't be working with an amateur recruiter....I have been recruiting technical talent for over 23 years and been in the tech sector since the 1990s. Here is what we are seeking in this role: The location for this role is Kokomo, Indiana. This role is being done onsite Monday through Friday. This role can go contract to hire if you need it to. Ideally, they are looking to hire someone who wants to be a permanent employee, so if you would like to go permanent right out of the gate, that would be great. I can, as with most of my roles, only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, STEM Visa Holders or anyone that is not already a US Citizen or Green Card Holder for this role. Here is what we are seeking: Before we start, just a quick note. I like to add humor to my job descriptions. So, if you see something that makes you chuckle, that was the intent. As with just about every role I work on, social fit is just about as important as technical fit. Here are a few of those social fit characteristics: The hiring manager for this role encourages people to try things instead of just waiting for approval. There is limited micro-management here. This can be a good thing for people who don't really need to be micromanaged. This is not an environment where there is a lot of drama or 'ego'. So, if you believe that you are the kind of person that believes that the whole world revolves around you, you might want to go back to being a tik tok influencer, because we won't have a fit here. You will be creating dashboards in Targit. This role is going to be a little more functional than technical however. A pretty healthy chunk of this role will be focused on working with end users on requirements, documenting what is needed in these Targit reports, and creating a roadmap on moving to PowerBI and Databricks. So, as you might imagine, you will be very user-focused in this role (primarilly working with finance and supply chain users). Another big portion of this role will be focused on stabilizing the current Targit environment. As anyone who has worked with Targit before knows, it is very user-focused and not incredibly technically-focused. Here are the key things we are seeking: At least 4-5 years of experience working with Targit. This experience can be more functional than technical. The experience with Targit is an absolute must have. Without experience with Targit, we will not have a fit, unfortunately. This experience will need to be described in your resume. Experience creating roadmaps to PowerBI and Databricks. If you have created roadmaps for migrations to other data platforms, that is fine as well. Significant experience with requirements gathering, documentation, process flow diagramming and UAT.

Primary responsibilities of the Technical Business Analyst include overall coordination and follow up of requirements gathering for Data Management related projects, writing Business Requirements as needed for Agile projects, along with assisting in writing Technical Design and Data Lineage Documents. This candidate will also be responsible for tracking the progress of projects and related tasks, which will include tracking follow-ups from meetings and scrums, assessing the status of related JIRA tasks and coordinating planned releases. Responsibilities Liaison between business users and technical team Schedule business requirements sessions, document meeting minutes and track follow-ups Write Business Requirement Documents Assist with Technical Design and Data Lineage Documents Ensure Technical Design addresses the Business Requirements Effectively track the progress across projects and ensure business requirements are being followed Coordinate planned releases and send out release announcements Assist in creating, tracking and following up on JIRA tickets Conduct Stakeholder Interviews and facilitate meetings for requirements elicitation Ability to work in a team-oriented, fast-paced agile environment managing multiple Qualifications 4+ years working as a Technical BA 4+ years working on Agile projects 2-4+ years of SQL experience (Oracle and SQL Server, MongoDB a plus) 4+ years of Data Analysis/Trouble shooting 4+ years writing Business Requirement, Technical Design and Data Lineage Documents Ability to interpret business requirements into technical requirements Strong Meeting Facilitator Must be able to multi-task effectively Great organizational skills Excellent communication skills

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global speciality insurance carrier in Greenwich, CT. This is a Hybrid role see details below. This role will be Hybrid (4 days onsite, 1 day remote) and available to candidates local to the Greenwich, CT area. No C2C, Third Party or Sponsorship Title: Insurance Business Systems Analyst Location: Hybrid (4 days onsite, 1 day remote) Hybrid (Mon-Fri, 40 hours) Fulltime, Permanent Salary Range : $70,000.00- $80,000.00 10%bonus eligible) MUST HAVE Recent Experience in the Insurance Industry! This role will help bridge the gap between business needs and IT solutions in the insurance industry by gathering requirements, assisting with implementation efforts, supporting end users and software systems, and improving upon business processes. Collaborate with stakeholders, analyze data, author business and technical requirements, and help ensure that technology projects align with insurance industry standards and company goals. Responsibilities • Gather and define business requirements: Work with subject matter experts to collect and document business needs for new or enhanced systems through interviews, workshops, and surveys. • Systems Support: Help with the implementation, maintenance, and ongoing production support of critical insurance software systems and ensure system performance and stability. • Troubleshoot and test: Assist in testing and troubleshooting systems to resolve issues and ensure they function correctly. • Project Work: Assist with projects and shifting priorities as needed. • Liaise between business and IT: Function as a communication bridge between business departments (like underwriting, operations, finance) and the information technology team. • Improve processes: Analyze existing business processes to identify areas for improvement and efficiency gains. • Analyze data: Evaluate data to inform decision-making and report on key performance indicators (KPIs). • Training and documentation: Train users on software applications, system enhancements, and create detailed business process documentation. • Reporting: Respond to user requests to generate reports from the system. Skills & Requirements • Minimum of 3-5 years of experience. • Insurance Industry Knowledge: A strong understanding of insurance products, business processes, and industry regulations is crucial. • Analytical and problem-solving: Ability to analyze complex situations, identify root causes of problems, and develop effective solutions. • Communication: Excellent written and verbal communication skills to effectively collaborate with diverse business stakeholders and technical teams. • Project Management and Process Knowledge: Familiarity with different project management methodologies like Agile or Waterfall, and the ability to create process flows and user stories is beneficial. • Software Familiarity: Experience with specific insurance software platforms like Guidewire, Duck Creek, Insurity, Origami, can be a significant advantage. • Technical Skills: Experience with SQL, data visualization tools, Power BI, and understanding of software systems

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical consumer goods manufacturing client in Summit, NJ. No Third-Party, No Corp to Corp, No Sponsorship Title: ServiceNow (CSM) Business Analyst Location: Summit, NJ Remote (Mon-Fri, 40 hours) must be able to work in LATAM, ANZ, APAC time zones Contract Duration: 12 months, with likely extension Pay Rate: $42.00 per hour (w2) Must Have Service Now CSM Customer Service Module experience only! Must Be Able to work in various times zones supporting LATAM, ANZ and APAC. Must Have Exceptional English Speaking Communication Skills ServiceNow Business Analyst Customer Service Module (CSM) We are seeking a ServiceNow Business Analyst for a multi-million-dollar initiative to implement ServiceNow's Customer Service Management (CSM) solution for our Call Center operations in LATAM, specifically Colombia. This role will involve collaboration with teams globally, including regions such as India, LATAM, ANZ, APAC, and potentially EMEA. Key Responsibilities: • Act as the primary Business Analyst for the implementation of ServiceNow's Customer Service Management (CSM) module. • Collaborate effectively with system integrators (e.g., SAP, Twilio/WhatsApp/WebMethods MFT), client technical teams, business stakeholders, and the Project Manager to ensure smooth project execution. • Lead weekly project plan calls, ensuring the team remains on track and documenting meeting notes and action items. • Capture and document user stories and requirements using Agile methodologies (e.g., JIRA, Scrum, Confluence). • Manage testing processes and ensure business engagement and participation in User Acceptance Testing (UAT). • Develop new enhancements for the CSM module, leveraging experience with various instances of ServiceNow. • Lead architectural reviews for necessary review boards to ensure that solutions align with technical standards and business needs. • Identify and articulate project risks and concerns, knowing when to escalate issues to appropriate stakeholders. • Maintain a high-level understanding of system integrations and IT architecture models to inform project decisions. • Document weekly status reports and communications using Microsoft PowerPoint and Excel. • Liaise with Business Analysts to review platform enhancement opportunities and identify value-added initiatives. Qualifications: • 5-8 years of solid experience in business analysis, preferably within Supply Chain IT and ServiceNow CSM. • Proven ability to perform business analysis duties for ServiceNow implementations, particularly with the CSM module. • Experience with ServiceNow is mandatory; familiarity with ServiceNow Contact Center solutions is a plus. • Experience working on complex IT-led projects across multiple workstreams. • Strong collaboration and communication skills, with the ability to work effectively with diverse teams across different geographical locations. • English is a must • Flexibility to work across various time zones to align with global project teams. • Proven experience leading architectural reviews and engaging with relevant review boards. Additional Information: • Collaborate closely with the manager to lead a capacity team based in India, primarily working on EST time to deliver continuous improvement initiatives.

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills. Responsibilities Investigate and Analyze data anomalies and data issues reported by Business Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations Assist in break fix and production validation as it relates to data derivations, replication and structures Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage Gather information from various Sources and interpret Patterns and Trends Ability to work in a team-oriented, fast-paced agile environment managing multiple priorities Qualifications 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases 4+ years of experience working with Exadata and SQL Server databases 4+ years in a Data Analyst role Strong attention to Detail 2+ years writing medium to complex stored procedures a plus Ability to collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Good Communication skills Self-Motivated Works well in a team environment Denodo Experience a plus Master Data Management a plus Big Data Experience a plus (Hadoop, MongoDB) Postgres and Cloud Experience a plus

No C2C We're looking for a hands-on Data Engineer to help build, scale, and fine-tune real-time data systems using Kafka, AWS, and a modern data stack. In this role, you'll work deeply with streaming data, ETL, distributed systems, and PostgreSQL to power analytics, product innovation, and AI-driven use cases. You'll also get to work with AI/ML frameworks, automation, and MLOps tools to support advanced modeling and a highly responsive data platform. What You'll Do Design and build real-time streaming pipelines using Kafka, Confluent Schema Registry, and Zookeeper Build and manage cloud-based data workflows using AWS services like Glue, EMR, EC2, and S3 Optimize and maintain PostgreSQL and other databases with strong schema design, advanced SQL, and performance tuning Integrate AI and ML frameworks (TensorFlow, PyTorch, Hugging Face) into data pipelines for training and inference Automate data quality checks, feature generation, and anomaly detection using AI-powered monitoring and observability tools Partner with ML engineers to deploy, monitor, and continuously improve machine learning models in both batch and real-time pipelines using tools like MLflow, SageMaker, Airflow, and Kubeflow Experiment with vector databases and retrieval-augmented generation (RAG) pipelines to support GenAI and LLM initiatives Build scalable, cloud-native, event-driven architectures that power AI-driven data products What You Bring Bachelor's degree in Computer Science, Engineering, Math, or a related technical field 3+ years of hands-on data engineering experience with Kafka (Confluent or open-source) and AWS Experience with automated data quality, monitoring, and observability tools Strong SQL skills and solid database fundamentals with PostgreSQL and both traditional and NoSQL databases Proficiency in Python, Scala, or Java for pipeline development and AI integrations Experience with synthetic data generation, vector databases, or GenAI-powered data products Hands-on experience integrating ML models into production data pipelines using frameworks like PyTorch or TensorFlow and MLOps tools such as Airflow, MLflow, SageMaker, or Kubeflow

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. About the Role The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Responsibilities Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products Serve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Qualifications B.S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Preferred Skills Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation for extended periods of time. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel is required for this position. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Equal Opportunity Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

Trinity Industries is searching for a Sr. Data Engineer to join our Data Analytics team in Dallas, TX! The successful candidate will work with the Trinity Rail teams to develop and maintain data pipelines in Azure utilizing Databricks, Python and SQL. Join our team today and be a part of Delivering Goods for the Good of All! What you'll do: Facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met Work with leadership to prioritize business and information needs Engage with product and app development teams to gather requirements, and create technical requirements Utilize and implement data engineering best practices and coding strategies Be responsible for data ingress into storage What you'll need: Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred 8+ years in data engineering including prior experience in data transformation Databricks experience building data pipelines using the medallion architecture, bronze to gold Advanced skills in Spark and structured streaming, SQL, Python Technical expertise regarding data models, database design/development, data mining and other segmentation techniques Experience with data conversion, interface and report development Experience working with IOT and/or geospatial data in a cloud environment (Azure) Adept at queries, report writing and presenting findings Prior experience coding utilizing repositories and multiple coding environments Must possess effective communication skills, both verbal and written Strong organizational, time management and multi-tasking skills Experience with data conversion, interface and report development Adept at queries, report writing and presenting findings Process improvement and automation a plus Nice to have: Databricks Data Engineering Associate or Professional Certification > 2023

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!