Tata Advanced Systems Tasl jobs

Transform Business Processes with Us! Location: Hyderabad, India We are seeking an experienced SAP Signavio Consultant to help our clients analyze, optimize, and enhance their business processes using the SAP Signavio software suite. You will work closely with clients to understand challenges, identify inefficiencies, and recommend solutions that drive operational excellence. As an integral part of our consulting team, you will be responsible for process modeling, system integrations, and value-driven insights, ensuring seamless adoption of SAP Signavio Process Manager, Process Governance, and Process Intelligence. Key Responsibilities Process Analysis & Optimization Collaborate with clients to understand their business processes, scenarios, and challenges. Leverage Signavio tools to analyze, optimize, and document business processes. Identify areas for improvement and provide tailored recommendations. SAP Signavio Implementation & Integration Lead the setup and integration of SAP Signavio with S/4HANA, ERP, and other digital platforms. Work on data connections, custom integrations, and KPI dashboards to enhance client decision-making. Support BPM content migration from tools like ARIS, BIC, ViFlow to Signavio. Customer Engagement & Consulting Conduct proof-of-concept initiatives and drive consulting projects. Deliver workshops, enablement sessions, and formal read-outs to customers. Serve as the SAP Signavio Subject Matter Expert (SME), supporting SAP customers and partners. Technical Expertise & Best Practices Provide technical consulting expertise on Signavio customization, data mining, and process modeling (BPMN 2.0). Develop custom Signavio solutions including PI script modifications and advanced analytics visualizations. Ensure system and data integration between client systems and SAP Signavio. Collaboration & Knowledge Sharing Support and mentor other Signavio consultants with client engagements. Collaborate with the product development team to improve Signavio features. Stay up to date with industry trends and best practices in business process management. Required Skills & Experience Hands-on experience with SAP Signavio, including Process Manager, Process Governance, and Process Intelligence. Experience with database systems, data mining, and analytics visualization. Strong process modeling skills with familiarity in BPMN 2.0. Expertise in SAP system integrations, including S/4HANA, ERP, and other enterprise systems. Technical proficiency in customizing Signavio solutions, PI Scripts, and data connectors. Proven ability to lead consulting engagements, drive adoption, and resolve technical challenges. Strong analytical, problem-solving, and communication skills. Self-motivated, proactive, and a team player who thrives in a collaborative environment. Work with global clients to transform their business processes. Opportunity to lead high-impact projects with cutting-edge technology. Continuous learning & professional development with expert teams. Collaborative, innovative, and growth-driven work culture. If you re passionate about business process optimization and SAP Signavio, we d love to hear from you! Apply now and be a part of our transformational journey!

Project Manager Cybersecurity Location: Noida Experience: 7 10 Years Education: Bachelor's Degree in Accounts or a related field Job Summary: We are seeking an experienced and results-driven Project Manager to lead and manage cybersecurity and IT infrastructure projects. The ideal candidate will possess strong leadership abilities, a deep understanding of IT and cybersecurity domains, and a proven track record of delivering complex projects on time and within budget. Key Responsibilities: Project Planning & Execution: Develop detailed project plans outlining scope, objectives, deliverables, timelines, and resources. Align project objectives with business goals and collaborate with key stakeholders throughout the lifecycle. Team Leadership: Assemble and manage cross-functional teams. Provide leadership, motivation, and support to ensure successful project execution. Risk & Issue Management: Identify potential project risks and implement mitigation strategies. Monitor ongoing risks and adjust plans proactively to resolve issues. Budget & Resource Management: Develop and maintain project budgets, ensuring resource optimization and cost control. Track expenses and ensure delivery within approved financial limits. Stakeholder Communication: Establish clear communication plans with stakeholders and provide regular status updates. Facilitate progress reviews, meetings, and reporting on key milestones. Vendor Management: Coordinate with external vendors to ensure timely delivery of services and solutions. Manage vendor relationships, evaluate performance, and negotiate contracts. Quality Assurance: Implement and monitor quality standards to ensure deliverables meet requirements. Follow industry best practices in cybersecurity and IT infrastructure. Change Management: Develop and execute change management strategies to support the transition to new systems and processes. Minimize disruption and facilitate smooth adoption across the organization. Compliance & Security: Ensure all projects adhere to regulatory requirements and cybersecurity standards. Address security vulnerabilities and enforce data protection measures. Documentation: Maintain accurate and up-to-date documentation, including project plans, reports, risk logs, and meeting minutes. Ensure accessibility and version control for future reference. Required Skills & Competencies: Soft Skills: Strong leadership and interpersonal skills Excellent verbal and written communication Ability to manage multiple projects under pressure Analytical mindset with a problem-solving orientation Technical/Functional Skills: 7 10 years of experience in IT project management, preferably in cybersecurity or infrastructure domains In-depth understanding of IT infrastructure (networks, servers, cloud, virtualization, storage) Proficiency in project management tools and methodologies (e.g., Agile, Waterfall, PMP, PRINCE2) Familiarity with industry cybersecurity standards and best practices Qualification : Bachelor's Degree in Accounts or a related field

Assistant Manager Finance & Accounts Location: Noida Experience: 3 7 Years Education: CA Final (Accounts Specialization) Job Summary: We are seeking a proactive and detail-oriented Assistant Manager Finance & Accounts to join our team in Noida. This role focuses on Financial Planning and Analysis (FP&A) and involves preparing key financial reports, driving profitability analysis, managing receivables, and supporting business planning efforts. The ideal candidate should be in the final stage of CA qualification and bring strong analytical skills, Excel expertise, and SAP experience. Key Responsibilities: 1. Financial Reporting & Analysis: Prepare and present Monthly MIS reports in the required format. Perform detailed variance analysis (Budget vs. Actuals) and provide actionable insights. Allocate overheads and common costs to prepare segmented Profit & Loss statements. 2. Profitability & Planning: Conduct Customer/Program/Project-wise profitability analysis. Support in creating the Annual Operating Plan (AOP) and long-term business plans. Prepare segment-wise financial projections based on evolving business scenarios. 3. Accounts Receivable Management: Oversee invoice creation, collection mapping, and balance reconciliations. Generate and maintain fortnightly ageing reports to track receivables performance. 4. Bid & Proposal Support: Collaborate with business teams to evaluate bids from a financial perspective. Vet bid cost sheets, study RFPs, and arrange required certificates from banks, Chartered Accountants, or Cost Auditors. Required Skills & Competencies: Functional Skills: Strong command over MS Excel for financial modeling and analysis Hands-on experience working with SAP Solid understanding of accounting standards and financial processes Analytical thinking and attention to detail Ability to handle multiple priorities in a fast-paced environment Qualification : CA Final (Accounts Specialization)

Job Overview Engineer - DevOps in the Electronics domain with 3-7 years of experience Design and implement CI/CD pipelines using AWS services Ensure cloud infrastructure security with best practices in AWS IAM and Security Hub Utilize MongoDB for data storage and management Automate infrastructure provisioning with Python and Bash Optimize system performance and scalability using AWS services Collaborate on API integration for seamless communication Conduct regular security assessments and implement measures Stay updated on industry trends Mentor junior team members AWS Certified DevOps Engineer and Certified Kubernetes Administrator (CKA) certifications preferred Bachelor of Technology in Computer Science Engineering or Information Technology or Master of Computer Applications required Experience with AWS IAM, S3, NACL, Security Hub, and API integration preferred Roles & Responsibilities Design and implement continuous integration and continuous deployment (CI/CD) pipelines using AWS services like AWS CodePipeline and AWS CodeBuild. Ensure the security and integrity of cloud infrastructure by implementing best practices in AWS IAM, AWS Security Hub, and AWS NACL. Utilize MongoDB for data storage and management within the DevOps environment. Automate infrastructure provisioning and configuration using Python and Bash scripting. Monitor and optimize system performance, including scalability and reliability, through effective use of AWS services. Collaborate with cross-functional teams to ensure smooth integration of APIs and services. Conduct regular security assessments and implement necessary measures to strengthen cloud security. Stay updated on the latest industry trends in DevOps, cloud security, and AWS services to drive continuous improvement in processes and practices. Mentor junior team members and provide technical guidance on DevOps practices and tools. Our ideal candidate Extensive experience in AWS, Security, MongoDB, Python, and Bash Deep understanding of each primary skill AWS proficiency for cloud infrastructure management Advanced knowledge in deploying scalable and fault-tolerant applications Security expertise for implementing robust security measures Conducting vulnerability assessments and ensuring compliance with industry standards Proficiency in MongoDB for efficient database management, data modeling, and performance optimization Python skills for automation, scripting, and data manipulation tasks Advanced level of programming proficiency Bash proficiency for shell scripting, automation, and system administration tasks Intermediate to advanced level of expertise Designing and implementing secure, scalable cloud solutions using AWS services Developing and optimizing MongoDB databases Automating operational tasks using Python and Bash scripts Bachelor of Technology (B.Tech) in Computer Science Engineering or Information Technology or a Master of Computer Applications (MCA) required AWS Certified DevOps Engineer and Certified Kubernetes Administrator (CKA) certifications preferred Demonstrating expertise in cloud infrastructure management and container orchestration, respectively Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) in Computer Science Engineering or Information Technology or a Master of Computer Applications (MCA) required

Job Title: Fraud and Risk Analyst Location: Bhubaneswar, Odisha Experience: 1 3 Years Industry: Fintech, Banking & Financial Services Department: Risk & Compliance Employment Type: Full-Time About iServeU iServeU is a leading banking infrastructure provider across the APAC region, enabling digital transformation for financial institutions through embedded fintech solutions. As a certified partner of NPCI and VISA, iServeU offers a cloud-native, microservices-enabled platform with over 5000 configurable solutions tailored for banks, NBFCs, and fintech organizations. We process 2500+ transactions per second using distributed architecture powered by Kubernetes (K8s). Our platform integrates 1200+ microservices, transforming how financial institutions deliver services. Serving over 20 banks and 250+ enterprises in 5 countries, we manage full transaction lifecycles: deposits, withdrawals, transfers, payments, and lending. Our team of 500+ is primarily tech-focused (80%) across Bhubaneswar, Bangalore, and Delhi. Backed by $8 million in funding, we are rapidly scaling innovation and expanding our fintech footprint. Job Summary We are looking for a proactive and analytical Fraud and Risk Analyst to join our team in Bhubaneswar. The ideal candidate will be responsible for real-time transaction monitoring, fraud detection, and ensuring regulatory compliance in line with KYC, chargeback, and AML requirements. This role involves close coordination with banks, merchants, law enforcement, and internal stakeholders to mitigate financial risks and ensure secure customer experiences. Key Responsibilities Monitor real-time transaction queues to detect and investigate high-risk or suspicious activities. Analyze customer transactions for signs of fraud, account takeovers, identity theft, and policy violations. Cancel unauthorized transactions and reduce potential financial losses through timely interventions. Investigate disputes, chargebacks, and coordinate recovery with partner banks, merchants, and wallets. Maintain and update fraud prevention rules based on trend analysis and emerging risks. Liaise with Cyber Crime departments by handling and closing complaints via Cyber Police Portals. Create and maintain fraud analysis models to enhance detection efficiency and reduce false positives. Generate Suspicious Activity Reports (SARs) and present risk summaries to management. Perform KYC and compliance checks, ensuring adherence to AML and identity verification protocols. Investigate and respond to customer and merchant chargeback claims; monitor chargeback ratios and recommend improvements. Proactively identify opportunities to enhance fraud prevention systems, processes, and tools. Required Skills & Qualifications Bachelor s degree in Finance, Commerce, Business Administration, or related field. Minimum 6 months of experience in transaction monitoring or fraud detection. In-depth understanding of the chargeback process (Visa, Mastercard, etc.) and regulatory guidelines. Familiarity with KYC/AML regulations, digital payments, and banking fraud mechanisms. Strong analytical thinking, problem-solving, and decision-making capabilities. Proficient in MS Excel and Advanced Excel functions (VLOOKUP, pivot tables, data comparison). Excellent communication and coordination skills for cross-functional and external stakeholder engagement. Nice to Have: Experience working in a fintech or digital payments ecosystem. Exposure to fraud prevention tools and cyber risk platforms. Basic knowledge of SQL or data querying is a plus. Employee Benefits Competitive Salary Packages Health Insurance for Employees Guest House & Fooding Facility Access to Sports Events & Cultural Activities Learning & Development Opportunities Comprehensive Product and Industry Training Well-equipped Cafeteria and Office Amenities Qualification : Bachelors degree in Finance, Commerce, Business Administration, or related field.

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Position: Data Analyst Collections Location: Mumbai Qualification: Graduate Experience: 3 to 6 years Job Description: We are looking for a Data Analyst Collections to join our team. This role involves analyzing and interpreting data from multiple sources to provide actionable insights and support decision-making. You will be responsible for reporting, system management, process improvement, and collaborating cross-functionally to drive performance improvements. Key Responsibilities: Data Analysis & Reporting: Collect and analyze data from various sources to identify trends, patterns, and key insights. Prepare daily, weekly, and monthly operational reports as well as client-specific reports. Design and manage interactive dashboards to track key performance indicators (KPIs) and provide insights for management decision-making. System Management: Oversee the daily operation and maintenance of information systems, ensuring smooth and secure data handling. Ensure the accuracy, security, and integrity of all databases. Provide support for troubleshooting and resolving any system-related issues. Process Improvement & Automation: Identify and implement opportunities to enhance reporting processes and system efficiency. Automate repetitive tasks and processes using advanced Excel functions (VBA, Macros), SQL, and BI tools such as Power BI or Tableau. Strategic & Cross-Functional Support: Collaborate with various departments to understand data requirements and deliver customized reports. Monitor compliance with Service Level Agreements (SLAs), internal controls, and regulatory standards. Provide technical support to enhance decision-making and business performance across teams. Key Qualifications & Skills: Technical Expertise: Advanced proficiency in MS Excel (functions, VBA/Macros), SQL, Tableau, Power BI, and database management systems. Analytical Skills: Strong ability to process large datasets, identify trends, and derive actionable insights. Regulatory Knowledge: Familiarity with debt collection laws, compliance requirements, and reporting standards (preferred for roles related to collection or finance MIS). Communication Skills: Ability to clearly present data insights to both technical and non-technical stakeholders. Qualification : Graduate

Job Title: Analyst International Business Location: Mumbai Experience Required: 2 4 years Education: MBA in International Business Job Summary We are seeking a dynamic and analytical Analyst International Business to support our international business development initiatives. This role will involve conducting market research, assisting in strategic business development activities, managing customer-related processes, and supporting international exhibitions and proposals. The ideal candidate will be proactive, detail-oriented, and skilled in research, reporting, and communication. Key Responsibilities Strategic Support Conduct market research, competitor analysis, and due diligence for international markets. Develop partnership profiles and country-specific PEST (Political, Economic, Social, Technological) analyses. Track product and technical benchmarking insights regularly. Business Development Assist with tender documentation, proposal writing, and customer communications. Prepare letters, presentations, MIS reports, and departmental decks. Support in the creation and review of techno-commercial proposals. Customer and Operational Support Manage end-to-end customer engagement activities. Assist in coordinating international and defense exhibitions. Maintain accurate documentation and create a centralized repository for company materials and business data. Skills Required Functional Skills Proficiency in MS Office Suite (Excel, PowerPoint, Word). Strong reporting and presentation capabilities. Excellent communication skills written and verbal. Ability to conduct structured secondary research and extract market intelligence. Ideal Candidate Profile 2 4 years of experience in international business, strategy, or market research roles. MBA in International Business or a related specialization. Strong analytical thinking with a keen interest in international markets and business expansion. Ability to work independently and collaboratively across departments. Qualification : MBA in International Business

Technical Specialist Armoured Vehicles Location: Pune Experience: 5 10 Years Education: B.E. in Mechanical Engineering Job Summary: We are looking for a highly skilled Technical Specialist Armoured Vehicles to join our engineering team in Pune. The role involves the end-to-end design, integration, and development of armoured vehicle systems, with a focus on CAD-based design, vehicle packaging, and aggregate integration. Job Purpose: To lead the design and development of armoured vehicles, ensuring functional integration of mechanical systems and effective packaging using advanced CAD tools. Key Responsibilities: Design & Integration: Perform vehicle integration and packaging of key aggregates (powertrain, suspension, electronics, etc.) using Creo or CATIA software. Design components including armoured hulls, braking systems, pneumatics, and other critical mechanical subsystems. Ensure optimal space utilization and system compatibility within the vehicle structure. Execution & Implementation: Translate technical requirements into detailed CAD models and engineering drawings. Collaborate with cross-functional teams to ensure design feasibility and compliance with performance, safety, and protection standards. Required Skills & Competencies: Functional Skills: In-depth knowledge of vehicle packaging principles, specifically for armoured vehicle platforms Strong understanding of mechanical systems integration in defense or specialized vehicle domains Technical Skills: Proficiency in CREO and/or CATIA for 3D modeling and design documentation Familiarity with defense standards and automotive design protocols Soft Skills / Behavioral Competencies: Effective stakeholder management across engineering, manufacturing, and procurement teams Solid project management abilities to drive timelines and coordinate technical deliverables Qualification : B.E. in Mechanical Engineering

Assistant Manager Optronics & Computing Platforms (Hardware Design) Location: Mumbai Experience: 6 10 Years Education: B.E. in Electronics Engineering Job Summary: We are seeking a motivated and technically proficient Assistant Manager Hardware Design to join our Optronics & Computing Platforms division in Mumbai. The role focuses on hardware design, development, testing, and qualification of electronics systems for defense applications. This includes analog and digital circuit design, as well as microprocessor/microcontroller-based hardware development. Job Purpose: To contribute to the end-to-end design and development of electronic hardware systems for high-performance defense and optronics projects, ensuring compliance with stringent technical and environmental standards. Key Responsibilities: Design & Development: Design analog and digital circuits including microcontroller/microprocessor-based systems Develop schematics using OrCAD, Altium, or similar EDA tools Select, codify, and document components in accordance with project and lifecycle requirements Testing & Validation: Conduct functional testing and validation of physical prototypes Support environmental and EMI/EMC testing to ensure compliance with defense standards Product Documentation & Integration: Create comprehensive product lifecycle documentation Design and prepare module-level and system-level cable harnesses Collaborate with cross-functional teams during integration, testing, and qualification phases Required Skills & Competencies: Technical Know-How: Expertise in PCB schematic capture and hardware design Familiarity with layout review tools and design practices Solid understanding of communication protocols: UART, USB, Ethernet, I C, SPI Basic knowledge of computer hardware and peripherals Soft Skills: Strong problem-solving and analytical skills Detail-oriented with a structured approach to design and documentation Ability to work independently and collaboratively in cross-functional engineering teams Qualification : B.E. in Electronics Engineering

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Position: Technical Support Engineer - L2 Job Type: Full-Time Location: Bangalore Department: Technical Support About BlueOptima: At BlueOptima, our mission is to be the global leader in optimizing the performance of software engineers across all industries. Through our cutting-edge metrics in software development, we empower large organizations to build better software, faster and at lower costs. Our innovative technology pushes the boundaries of what s possible, making a real difference in software delivery. With a global presence including offices in London, India, Mexico, the US, and Japan we are a diverse team of 120 people from over 20 countries. We foster a collaborative, open-minded environment where every individual can create their own success story in a high-performance setting. Job Description: As a Technical Support Engineer - L2, you will play a critical role as the senior technical leader between customer-facing teams, Product Management, and Engineering. You will provide deep technical expertise, troubleshooting complex issues, contributing to product development, and ensuring the smooth success of customer engagements. This role is highly dynamic and involves working closely with multiple teams, managing escalated support cases, coordinating new features and fixes, and creating internal best practices. Key Responsibilities: Customer Success Support: Act as a technical lead for pre-sales, deployment, and support teams. Troubleshoot escalated support issues, replicate environments, and collaborate with engineering to resolve problems quickly and efficiently. Product Feedback & Roadmap Alignment: Actively participate in "road-testing" pre-release software, providing crucial feedback to Product Management, and helping ensure customer requirements are aligned with the product roadmap. Technical Exploration & Research: Lead deep technical investigations, such as benchmarking custom use cases, and prototype new features to improve the overall customer experience. Enablement & Knowledge Sharing: Contribute to internal documentation, including product capabilities and best practices, and deliver regular training sessions to technical teams to promote continuous learning. Qualifications: Core Technical Skills: Advanced Systems Administration: Expertise in Linux and Windows, including performance tuning, kernel parameters, and filesystem management. Scripting Skills: Strong proficiency in Bash, Python, or similar languages to automate complex tasks and gather detailed debugging data. Enterprise Storage: Experience with SAN, NAS, and related enterprise storage technologies and architectures. Disaster Recovery: Hands-on experience with data copy, replication, and disaster recovery solutions. Cloud Storage: Experience working with Cloud Object Stores like AWS S3, Azure, or Google Cloud. Virtualization & Containerization: Knowledge of Docker, IaaS, and PaaS technologies. Additional Technical Skills: In-depth knowledge of version control systems (Git, Subversion). Familiarity with security concepts (Kerberos, SSL/TLS, LDAP). Advanced networking knowledge, including packet tracing and tuning. Understanding of Java concepts and integrations. Experience & Education: 10-15 years of experience in IT, with a focus on Linux-based systems and enterprise environments. Bachelor s degree in Computer Science or a related field. Soft Skills: Communication: Ability to explain complex technical concepts to both technical and non-technical audiences. Problem-Solving: Strong methodical troubleshooting skills and the ability to think critically in high-pressure situations. Customer-Facing Experience: Previous experience in customer-facing roles, with the ability to manage expectations and deliver results. Calm Under Pressure: A composed, professional demeanor even in high-stakes situations. Continuous Learning: Enthusiasm and curiosity to stay ahead of new technologies and industry trends. At BlueOptima, you ll be part of a pioneering company with a mission to transform the way software performance is optimized. We value innovation, collaboration, and individual growth, offering a dynamic and high-performance environment where your contributions truly make an impact. If you re looking to advance your career while working with cutting-edge technology, BlueOptima is the place to be. Qualification : Bachelors degree in Computer Science or a related field

Position: Data Science Intern Analytics, Automation & Problem Solving Location: Bangalore On-site Duration: 3 6 months Internship Experience: Final-year students or recent graduates About the Role: We re seeking a high-agency intern passionate about data and obsessed with solving real-world problems. At 5C Network, data goes beyond analysis it drives systems, operations, and healthcare outcomes. Join our Data Science & Analytics team to go beyond dashboards: own challenges, build automations, and work with data impacting thousands of lives. What You ll Work On: Complex Querying & Data Handling: Write and optimize high-performance SQL queries on large healthcare datasets (PostgreSQL, ClickHouse), troubleshoot discrepancies, and ensure data reliability. Python-based Data Transformation: Clean, manipulate, and transform raw data using Pandas and NumPy; contribute to backend scripts powering dashboards and reports. Dashboarding & Reporting: Assist in creating intuitive dashboards (Metabase, Power BI, Google Data Studio) used for operational, product, and clinical decision-making. Automations & Workflows: Identify repetitive tasks and automate processes with Python, APIs, and reporting tools. Advanced Applications: Collaborate on projects involving natural language data, smart assistants, and auto-triggered insights to enhance decision-making intelligence. Business Context Awareness: Understand the purpose behind every metric focus on solving impactful business problems, not just queries. What We Expect from You: Strong command of SQL with skills in query optimization, debugging, and managing complex data logic. Solid Python skills for data tasks (Pandas, NumPy, scripting). Comfort working with real-world messy data, databases, and schemas. Curiosity and initiative: Investigate anomalies rather than ignoring them. Business-first mindset: Always question the meaning behind metrics. High ownership: Proactively explore, propose solutions, and take charge without waiting for perfect instructions. Willingness to learn and stretch whether automating reports, building tools, or mastering new skills daily. Nice to Have: Experience with APIs, backend data workflows, or FastAPI. Familiarity with Git and data visualization platforms. Interest in healthcare or operations-heavy environments. Exposure to LLMs, text analytics, or no-code/low-code tools (even exploratory). Why This Internship is Different: Real projects with real impact on national healthcare delivery. Exposure to full-stack analytics from pipelines to dashboards to business strategy. Mentorship from experienced data scientists and engineers. Potential opportunity for full-time conversion based on performance. Perks: Paid internship with a stipend. Certificate of completion and potential pre-placement offer. Office located in Bangalore s vibrant startup and health-tech hub.

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Job Description We are seeking a highly skilled Data Acquisition Platform Engineer to join our dynamic team and help build AI/ML-driven solutions that process and classify unstructured data from diverse sources. This role involves designing and developing Python-based systems for data acquisition, processing, and deployment on GCP cloud. You will work with cutting-edge technologies to create solutions that integrate AI/ML models to parse and make data available for downstream consumption. Your Team Responsibilities Data Acquisition: Work on building a platform that acquires unstructured data from multiple sources such as financial documents, websites, and news. Data Processing: Utilize AI/ML models to map, classify, and process unstructured data for downstream system consumption. Cloud Deployment: Deploy the application on Google Cloud Platform (GCP) through DevOps processes, ensuring seamless and scalable operations. Model Management: Create, fine-tune, and deploy Machine Learning models (LLMs) for data classification, parsing, and processing. Application Maintenance: Manage and monitor the platform through various dashboards, ensuring it meets performance and reliability standards. Your Key Responsibilities Design and develop Python-based applications that leverage AI/ML technologies for unstructured data acquisition and processing. Deploy applications using DevOps methodologies on GCP or Azure cloud environments. Build and maintain Machine Learning models for tasks such as text classification, data parsing, and integration. Create interactive dashboards for monitoring and maintaining system performance. Continuously innovate by implementing and integrating the latest advancements in AI/ML, particularly in Natural Language Processing (NLP) and Transformers. Skills and Experience That Will Help You Excel 1. Python & Machine Learning: Strong experience in Python for building scalable data systems and integrating AI/ML models. Expertise in working with Transformers, NLP, and other advanced Machine Learning models for unstructured data processing. 2. Cloud & DevOps: Experience deploying applications on Google Cloud Platform (GCP) or Azure using DevOps tools and processes. Proficiency in building scalable, cloud-native applications that are easy to maintain and monitor. 3. Data Processing & Integration: Knowledge of data parsing, classification, and processing of unstructured data (e.g., text, documents, etc.). Experience in integrating AI/ML models with data pipelines for downstream consumption. 4. Tools and Technologies: Proficiency in DevOps tools for cloud deployment and automation. Familiarity with CI/CD pipelines and tools like Docker, Kubernetes, and Terraform. What We Offer Compensation & Benefits: Transparent compensation schemes and comprehensive employee benefits tailored to your location, ensuring your financial security, health, and overall well-being. Flexible Working: Flexible work arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and customized learning opportunities for continuous professional growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development opportunities. Inclusive Culture: A workplace that embraces diversity and inclusion, supported by various Employee Resource Groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work with a talented network of colleagues across the globe and contribute to innovative solutions for the global investment community. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We ensure equal employment opportunities without discrimination or harassment based on race, religion, gender, disability, or any other characteristic protected by law. MSCI is also committed to providing reasonable accommodations for individuals with disabilities.

About Unilever: Unilever is a global leader in sustainability, with over 400 brands like Lipton, Knorr, Dove, and Axe. Through innovation and purpose-led business, Unilever reaches 2.5 billion people every day, improving lives and making a positive impact. Join us, and you'll work alongside inspiring leaders and peers to help shape a better future for our customers, business, and planet. About UniOps: Unilever Operations (UniOps) is Unilever's global technology and operations engine. Offering business services, technology, and enterprise solutions, UniOps serves over 190 locations and ensures seamless, end-to-end delivery for a Purpose Led and Future Fit Unilever. Main Job Purpose: This position is responsible for managing Tax Compliance and Accounting processes for several Latin American countries. You will gain exposure to various Tax and Finance teams and interact with Global Tax Process Excellence teams. Your main responsibilities will cover VAT, WHT, CIT, Transfer Pricing, and Group Tax Reporting. Key Responsibilities: Tax Compliance & Accounting: VAT/WHT Computation: Prepare complex returns for VAT and WHT. CIT Tax Provision: Rule-based calculations for CIT tax provisions, advance tax, and quarterly group reporting. Tax Data Management: Ensure accuracy and hygiene of tax-related master data and transactional data. Tax Payments: Oversee timely tax payments to authorities per country timelines. Tax Reporting: Ensure compliance with tax-related controls and reporting frameworks. Collaboration & Support: Work with Unilever s global tax teams and outsourced service providers to stay updated on tax law changes. Provide data/documentation support for audit queries and country tax audits. Ensure all agreed KPIs are met in the tax process. Continuous Improvement: Drive continuous process improvements and propose best-in-class solutions for direct/indirect taxes. Implement tools and technology for improved process efficiency. Team Leadership: Lead, coach, and develop a team of two tax data specialists. Manage stakeholder relationships across countries. Key Requirements: Technical Skills: Strong understanding of accounting, tax concepts (direct/indirect/withholding taxes, transfer pricing). End-user knowledge of SAP (FI module). Proficiency in Excel, with experience collecting and consolidating data from accounting/ERP systems. Knowledge of Power BI, Tableau, or Workflow management tools is a plus. Experience: 5-6 years of experience in accounting or finance (R2R) and direct/indirect tax. Experience in tax process management, tax compliance, or handling successful transitions to Global Hubs. Soft Skills: Strong verbal and written communication skills. Proactive attitude, problem-solving, and analytical skills. Ability to manage small teams and communicate effectively across various levels. Self-starter with proven ownership of responsibilities. Key Interfaces: Global Tax Team Country Tax and Finance Teams Outsourced Service Providers (Big 4) Central R2R/P2P/O2C Teams IT Teams