Data Presentation Jobs in Bengaluru

Manager - Key Opinion Leader (KOL) Management Location: Bengaluru Department: Operations Clinical Engagement Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Our mission is to save lives through connected healthcare, providing real-time monitoring that enables early detection of clinical deterioration, improves patient safety, and enhances outcomes. Trusted by hospitals across India, the USA, and Africa, Dozee is pioneering the future of patient care. Role Overview As a Manager - Key Opinion Leader (KOL) Management, you will play a crucial role in building strong relationships with healthcare professionals in partner hospitals. You will engage with senior doctors, medical directors, and department heads to communicate Dozee s research, clinical evidence, and product impact, helping them understand how our solutions can enhance patient safety and operational efficiency. Key Responsibilities Stakeholder Engagement Develop and nurture relationships with senior doctors, medical directors, and key decision-makers in partner hospitals. Conduct one-on-one meetings to understand their needs, address concerns, and provide tailored solutions. Act as the primary point of contact for KOLs, ensuring consistent and meaningful communication. Research & Product Advocacy Present Dozee s clinical evidence and product features to healthcare professionals in a clear, compelling manner. Showcase the impact of Dozee s solutions on patient safety and hospital efficiency. Gather feedback from KOLs to guide product improvements and share insights with internal teams. Relationship Management & Strategic Collaboration Serve as the key liaison between Dozee and the medical community, promoting trust and long-term partnerships. Collaborate with sales, marketing, and R&D teams to align KOL engagement strategies with business goals. Assist in co-creating evidence-based marketing materials and content with KOL input. Monitoring & Reporting Maintain detailed records of KOL interactions and monitor engagement progress. Prepare regular reports on KOL activities, feedback, and impact on business outcomes. Requirements Experience & Qualifications Bachelor s or Master s degree in life sciences, healthcare, or a related field. 5+ years of experience in a Senior Medical Representative or similar role. Expertise in engaging with doctors on research findings and medical trial data. In-depth understanding of the healthcare ecosystem and hospital operations. Skills Strong interpersonal and presentation skills with the ability to effectively communicate complex clinical data. Confident, persuasive, and comfortable interacting with senior healthcare professionals. Ability to travel extensively (up to 15+ days per month). Why Join Dozee Be part of an innovative, mission-driven company transforming healthcare with AI. Engage with top healthcare professionals and influence product adoption in leading hospitals. Contribute to a company that has already impacted 1 million+ patients and saved over 10 million nursing hours. Qualification : Bachelors or Masters degree in life sciences, healthcare or a related field

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Position: Business Analyst Supply Chain Department: Supply Chain Location: Bengaluru Role Overview: We are seeking a detail-oriented and strategic Business Analyst to conduct in-depth market analysis focused on primary and secondary aluminium markets, both domestically and globally. This role will support procurement decision-making by identifying market opportunities and risks, ensuring alignment with company strengths to maximize profitability and sustain competitive advantage. Key Responsibilities: Conduct comprehensive analysis of market dynamics impacting pricing trends in primary and secondary aluminium sectors globally and domestically. Identify business opportunities that align with company capabilities to optimize procurement timing and strategies for short-term and long-term gains. Detect potential threats and weaknesses in the market environment and collaborate with leadership to develop effective mitigation strategies. Make swift, well-informed decisions by evaluating multiple scenarios and selecting optimal courses of action. Work independently and collaboratively with cross-functional teams to ensure cohesive business strategies. Communicate clearly and effectively to minimize misunderstandings and ensure accurate interpretation of market insights. Approach market research from multiple perspectives to ensure comprehensive analysis, considering all critical factors influencing decision-making. Guide the raw material procurement team in developing strategic procurement plans that respond to market fluctuations. Prepare and present detailed reports and presentations for senior management, highlighting key metrics, market changes, and actionable recommendations. Stay updated on regulatory changes, including customs duties, anti-dumping duties, and industry best practices, as well as emerging technologies affecting the aluminium market. Qualifications & Skills: Postgraduate degree in Business, Economics, Supply Chain Management, or a related field. Strong analytical skills with the ability to interpret complex market data and trends. Excellent communication and presentation skills. Ability to make independent, strategic decisions under pressure. Knowledge of regulatory frameworks and industry standards relevant to aluminium markets. Qualification : Postgraduate degree in Business, Economics, Supply Chain Management, or a related field.

Position: Data Science Specialist Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 6 years (Mindset > Experience) About the Role: We re seeking a mission-driven, hands-on Data Analytics Specialist passionate about impact. This is not a typical analytics role you will drive key business metrics across clinical operations, stakeholder reporting, and automation. Collaborate closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision is data-driven, actionable, and scalable. If you thrive on building dashboards, automating processes, streamlining pipelines, and driving growth through insights, this is your playground. Key Responsibilities: Own Business KPIs: Take full ownership of company-wide metrics, ensuring their accuracy, relevance, and actionability through stakeholder alignment. Data Engineering: Build and optimize ETL/ELT pipelines integrating data from Postgres, ClickHouse, and other sources. Dashboards & Reporting: Design and maintain intuitive dashboards (Metabase, Power BI, Tableau, Google Data Studio) that stakeholders actively use. Backend Data Transformation: Write clean, reusable code to convert raw data into actionable insights. API Development: Build and maintain internal APIs to serve analytics data to frontend and production systems. Email Automation: Develop real-time and scheduled email reports delivering dynamic insights to stakeholders. Spreadsheet Expertise: Automate and manipulate complex data in Excel/Google Sheets for detailed analysis and reporting. AI & Automation: Collaborate with AI teams to integrate predictive algorithms and automate analytics workflows. Business Acumen: Develop deep understanding of the teleradiology ecosystem clinical workflows, operations, financials, and tech platforms. Proactive Collaboration: Identify data gaps, flag inconsistencies, recommend improvements, and work closely with leadership. Required Skills: Strong Python skills for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.) Proficient in SQL (ClickHouse, PostgreSQL) with experience optimizing queries End-to-end dashboard ownership from data modeling to UI presentation Experience building or integrating APIs for analytics Advanced spreadsheet skills and formula-driven reporting Experience working with AI/ML models in applied settings (preferred) Hands-on backend data transformations, version control, and automation Familiarity with full-stack development frameworks (bonus) Bonus / Nice to Have: Exposure to dbt, Airflow, ChromaDB, Streamlit, Plotly Knowledge of data privacy, compliance, and healthcare analytics Experience building analytics platforms for SaaS or health-tech companies Mindset We re Looking For: 10x Hustler: Ready to learn fast and go the extra mile to solve problems. Obsessed with Accuracy: Data must be flawless before release. Extreme Ownership: Proactive in driving results without waiting for instructions. Fast Learner: Able to pick up new tools and concepts quickly. Business First, Code Later: Focused on impact, not just coding. Be part of India s fastest-growing teleradiology platform Direct access to leadership and real-world business impact Build game-changing analytics systems and influence strategy Gain exposure to AI, automation, product, and operations in one role Clear ramp-up roadmap and growth plan Expectations in First 3 Months: Build an end-to-end dashboard from scratch Clean up at least one messy data pipeline Automate a stakeholder email update Validate accuracy across critical business metrics Understand full-stack platform structure and propose an improvement

Job Title: Workflow Analyst Location: Bengaluru, India Company: IntouchCX Role Focus: Analyze and optimize the customer experience across all touchpoints by mapping customer journeys, analyzing workflows, and driving improvements. Key Responsibilities Customer Journey Mapping Create and maintain detailed journey maps across channels (digital, in-store, phone, etc.) Identify key customer touchpoints, emotions, and actions Conduct research on customer needs, behaviors, and motivations Workflow Analysis Analyze and identify inefficiencies in customer interaction workflows Collaborate with cross-functional teams to design optimized processes Data Collection & Analysis Gather data from surveys, feedback, usability tests, and performance metrics Analyze trends and identify pain points for improvement opportunities Recommendations & Reporting Provide actionable insights and present findings to stakeholders Support implementation of workflow improvements Collaboration & Continuous Improvement Work with product, marketing, UX, and other teams to align CX strategies with business goals Stay updated with industry trends and continuously enhance journey mapping and workflow processes Qualifications & Skills Bachelor s degree in Business, Marketing, UX Design, or related field Experience with customer journey mapping and workflow/process improvement Familiarity with tools like Lucidchart, Smaply, Miro for journey mapping Knowledge of Lean, Six Sigma, or similar methodologies Strong analytical and data interpretation skills Excellent communication and presentation abilities Experience with CX tools and CRM systems Problem-solving mindset with attention to detail Ability to manage multiple projects and collaborate cross-functionally Qualification : Bachelors degree in Business, Marketing, UX Design, or related field

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Job Title: Lead Go-To-Market (GTM) Strategy Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a pioneering consumer technology company operating disruptive digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen powers over 400 million smartphones worldwide, delivering personalized content without the need for searching or downloading apps. Roposo revolutionizes live video experiences with immersive creator-led content, while Nostra stands as the largest gaming platform across India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn, and compete. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we encourage you to dream big, innovate boldly, and take ownership from day one. Work alongside highly skilled and passionate peers on mission-critical projects. Enjoy a culture that rewards autonomy, creativity, and collaboration, supported by wellness programs, tech tools, daily meals, gym access, and a family-friendly workspace welcoming your kids and pets. Role Overview As the Lead GTM Strategy, you will craft and execute monetization strategies for Glance Media offerings, serving as a Brand Solutions Specialist. You ll partner with clients to understand their business goals, challenges, and opportunities, aligning Glance s innovative media products to drive impactful marketing results. Key Responsibilities Collaborate with GTM, creative, and client solutions teams to identify mobile marketing challenges and opportunities for diverse client portfolios. Design tailored, effective solutions leveraging Glance Lock Screen Media offerings including Display, Video, Interactive Units plus Gaming and Content products, aligning with client objectives and addressing business and technical challenges. Conduct training workshops to articulate Glance Media and Content capabilities to brands and agencies. Partner closely with Sales, Marketing, and Client Services teams to ensure successful client engagements, leveraging insights and feedback loops. Develop compelling, research-driven presentations that combine data and creative storytelling. Empower Sales Managers with data-backed programs and product solutions aimed at driving business growth. Proven experience (4+ years) in content marketing, brand marketing, media planning, strategy, or digital advertising within dynamic environments. Creative, energetic self-starter with the ability to work independently and lead initiatives with minimal supervision. Proficiency in brand marketing frameworks and simplifying complex concepts into clear, actionable insights. Strong business acumen with the ability to quickly understand client needs and leverage market research effectively. Excellent communication skills both oral and written including brand storytelling and workshop facilitation. Comfortable managing projects across multiple teams, geographies, and strict timelines in a fast-paced setting. Required Qualifications 4+ years of professional experience in business solutioning, consulting, digital advertising, media planning, or pre-sales. Bachelor s degree required; MBA preferred. Location: Bangalore, India Take the lead in shaping groundbreaking GTM strategies with Glance. Apply now and join a visionary team transforming mobile consumer experiences! Qualification : Bachelors degree required; MBA preferred.

Senior Research Specialist Location: Bengaluru, Karnataka, India Department: Sales & Solutioning Experience: 6 9 Years Employment Type: Full-Time About CloudSEK CloudSEK is a fast-growing, AI-powered cybersecurity company on a mission to make the digital world safer through contextual threat intelligence. With industry-leading platforms like XVigil, BeVigil, and SVigil, we help global enterprises proactively identify and respond to digital threats. Headquartered in Singapore with a strong presence across India and Southeast Asia, we are proud to be recognized for our innovation and rapid growth in the cybersecurity domain. Role Overview: Senior Research Specialist (Sales & Solutioning) We are looking for an experienced and analytical Senior Research Specialist to join our Solutioning Team. This hybrid role combines technical expertise, client engagement, and team leadership. You will lead solution design for complex data engineering needs and directly contribute to shaping scalable architectures, ETL frameworks, and modernization strategies. Your work will directly support sales efforts, proposal development, and solution delivery making you a critical bridge between technical execution and business strategy. Key Responsibilities Solution Design & Research Lead technical discovery sessions to understand client needs, pain points, and opportunities. Review and guide research efforts, validating solution strategies proposed by the team. Design scalable and realistic end-to-end data engineering roadmaps with cross-functional alignment. Evaluate technologies, cloud platforms (AWS, GCP, Azure), tools, and architectures for each engagement. Support proposal creation, RFP responses, and client presentations by crafting engaging, value-focused narratives. Client & Stakeholder Engagement Act as a technical advisor to prospective clients, articulating solutions in a business-relevant context. Translate complex data engineering challenges into easy-to-understand presentations and documentation. Collaborate with internal teams sales, delivery, data architects, and domain experts to co-create tailored solutions. Team Mentorship & Enablement Mentor a team of solution engineers; promote collaboration, learning, and delivery excellence. Provide leadership during pitch cycles and client interactions, fostering a high-performance, agile culture. Oversee quality and consistency across solutioning documentation, storyboards, demos, and technical narratives. Must-Have Qualifications Bachelor s or Master s in Engineering, Computer Applications, Mathematics, or Statistics. 6 9 years of experience in solutioning, data engineering, or technical consulting. Proven experience working with cloud ecosystems: AWS, Azure, or GCP. Strong research and analytical capabilities to evaluate tools, strategies, and solutions. Hands-on experience in designing and communicating data engineering solutions. Comfortable interacting with clients and translating requirements into executable plans. Excellent communication and presentation skills for technical storytelling. Nice-to-Have Skills Experience in proposal design, storyboarding, and client demos. Team leadership or experience managing solution engineers. Exposure to sales engineering, pre-sales consulting, or customer success. Familiarity with cybersecurity or digital risk platforms is a bonus. Mission-Driven Work: Shape cutting-edge, high-impact solutions for cybersecurity and data intelligence. Collaborative Culture: Work in a high-energy, fast-paced, and innovation-focused environment. Personal Growth: Take on diverse challenges with support for continuous learning and leadership development. Flexible Environment: Enjoy work-life balance with flexible hours and a creative workspace. Qualification : Bachelors or Masters in Engineering, Computer Applications, Mathematics, or Statistics.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Description Key Accountabilities In this Strategic Leadership Role, you will be responsible for Customer Success of the Brand and Media Practice for India . Key responsibilities encompass delivering with excellence while maintaining delivery standards, driving high operational efficiency and a strong sales mindset (support upselling & cross-selling); enabling timely revenue recognition and profitable execution. Core Responsibilities Lead and Manage a strong customer success delivery team for the Brand and Media practice for India. Support the India Sales organization and clients with best in class methodologies, deliverables and technical needs. Driving expertise in the practice and being the methods champion. Bringing that expertise to the fore in our proposal writing and RFP. Support the India Customer Success lead in managing the P&L of the practice area including W&S and T&E budgets. Coordinate and drive cross-training programs in order to maximize solution and delivery excellence, expertise, and staffing flexibility. Set and measure a high level of delivery standards driving client satisfaction. Contribute to meet India revenue targets by supporting repeat sales and timely deliverables. Coordinate and support with India Vertical business leaders and Client Sales partners on client and project revenue growth, retention, and profitability. Represent Customer Success at key client meetings, Top-To-Top meetings, and key engagements as relevant. Work with regional customer success leader and bring best practices to the local market. Develop and implement best delivery practices. Target reductions in cycle time across ad hoc methods. Drive high level employee engagement and retention. Foster a culture of continuous improvement and accountability to drive organizational efficiency. Key stakeholder in providing input into product and toolkit roadmap, representing India needs for the practice area. Lead and enable industry and thought leadership efforts from the Brand and Media Practice. Core KPIs Team Engagement and Retention Increase engagement among customer success associates in the region as measured through Engage results as well as retention of associates. Regional Revenue for the Practice Area Drive repeat sales, renewals. Ensure all delivery schedules are optimized to meet quarterly revenue targets. NPS Ensure sufficient response rate from clients. Increase/maintain baseline performance. Support and/or lead key client follow ups and action plans. EBITDA Support India lead to: Monitor project and solution profitability, and leverage time tracking learning to help improve delivery contribution. Manage W&S Delivery budget through a lens of optimization for India via org design, hubbing, etc. Manage T&E budget through the lens of prioritizing client engagement as well as team performance and engagement. Skillsets Strong sense of urgency and accountability to drive client outcomes. Proven experience in leading a team, managing people, and developing talent. Able to work collaboratively with internal & external teams. Capable to maintain positive client relationships in complex situations & resolve client issues. Strong logic, deductive reasoning, problem-solving, and critical thinking skills. Skilled & polished communicator, including client presentations. Able to synthesize data & simplify findings to solve client business issues. Strong project management skills and ability to manage multiple priorities. Experience using large data sets to finding insights and make recommendations. High say-do ratio. Experience in driving organizational transformation is a plus. Qualifications Proven track record in Analytics Consultancy/ Market Research leadership roles. Expertise in (application of) Customer Insight Solutions preferred. Proven leader of high performing teams. Bachelor's Degree required, Master s preferred, or equivalent experience. Knowledge in sales processes in CPG companies, customers, modern and traditional market. Good knowledge of NielsenIQ products, services and data preferred. Strong analytical skills. Proven sales acumen. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population. Qualification : Bachelor's Degree required, Masters preferred, or equivalent experience.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

About Us At Quantiphi, technology drives our innovation, but our global and diverse culture powers our success. We take immense pride in fostering a workplace built on transparency, diversity, integrity, continuous learning, and personal growth. If you are excited to work in an environment that encourages innovation and excellence in both professional and personal spheres, Quantiphi could be the perfect place for your career! Role: Client Solutions Partner Banking & Capital Markets Who We Are Looking For We are looking for a highly motivated and experienced sales leader to drive business growth in the Banking & Capital Markets sector across North America. You will report directly to the Senior Client Solutions Partner for Financial Services & Insurance. This role requires: Strong industry knowledge Relationship-building expertise Proven ability to manage large enterprise accounts, especially within Fortune 1000 companies Key Responsibilities Strategic Account Growth Develop and implement account strategies for large Banking & Capital Markets clients in North America Identify and pursue new business opportunities while fostering relationships with C-level executives Sales Cycle Ownership Manage end-to-end sales cycles, from lead generation and analysis to proposals, negotiations, and deal closure Present Quantiphi s value proposition to senior executives, demonstrating clear ROI Client-Centric Solutions Understand client needs, business goals, and technology ecosystems Showcase how Quantiphi s AI and data science solutions can address key challenges such as: Anti-money laundering (AML) Know-your-customer (KYC) Loan origination Fraud detection Risk management Regulatory reporting Investment strategies Personalized banking services Relationship Building Build trusted partnerships with key stakeholders within target accounts Deliver strategic insights on using AI and data to enhance business performance Cross-Functional Collaboration Work closely with internal teams, including marketing, solution architects, and delivery teams, to ensure seamless project delivery and client satisfaction Collaborate with technology and business alliance partners to enhance solution offerings Sales Forecasting & Performance Maintain accurate sales forecasts and effectively manage your pipeline Consistently achieve or exceed assigned sales targets Industry Expertise Stay updated on Banking & Capital Markets trends, including fintech innovations, regulatory changes, and emerging technologies Use this expertise to identify growth opportunities and strengthen Quantiphi s market position Required Qualifications Proven enterprise sales success within Banking & Capital Markets Strong existing network within North America s Banking & Capital Markets sector, preferably with Fortune 1000 contacts Deep understanding of banking business challenges and how AI and data science apply Excellent communication, presentation, and influencing skills across all levels Experience managing complex sales cycles and closing large enterprise deals Strong collaborative approach with the ability to manage multiple stakeholders Bachelor s degree required; MBA preferred Minimum 5 years of enterprise sales experience in Banking & Capital Markets Qualification : Bachelors degree required; MBA preferred

About Us While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and take pride in fostering a culture built on transparency, diversity, integrity, learning, and growth. If you want to work in an environment that encourages you to innovate and excel both professionally and personally Quantiphi is the place for you! Role: Sales Lead - Insurance Quantiphi Solving What Matters About the Role We are seeking a highly driven and experienced sales leader to drive growth in the Insurance sector across North America. This role reports to the Senior Client Solutions Partner for Financial Services & Insurance. The ideal candidate should possess: Deep understanding of the Insurance industry landscape Ability to build and manage relationships with Fortune 1000 companies Responsibilities Strategic Account Development Develop and execute account strategies targeting large enterprise Insurance customers in North America Identify and nurture business growth opportunities through strong industry knowledge and C-level engagement Sales Cycle Management Manage full sales cycles, from prospecting and needs assessment to proposal development, negotiation, and closure Present Quantiphi s value proposition to executive audiences, tailored to client-specific needs with clear ROI demonstrations Customer-Centric Approach Understand each client s business drivers, technology landscape, and competitive challenges Showcase how Quantiphi s AI-powered solutions address key challenges such as: Claims processing Underwriting Fraud detection Personalized insurance offerings Enhancing customer experience Relationship Building Establish and grow relationships within target accounts Position yourself as a trusted advisor by offering valuable insights on AI and data science innovations Collaboration & Partnership Work closely with marketing, solutions architects, and delivery teams to ensure seamless execution and client satisfaction Collaborate with alliance partners to extend market reach and enhance solution offerings Forecasting & Goal Achievement Maintain accurate sales forecasts and actively manage pipeline Consistently achieve assigned sales targets Market Expertise Stay updated on Insurance industry trends, Insurtech innovations, regulations, and competitive dynamics Leverage this expertise to identify growth opportunities and strengthen Quantiphi s market position Qualifications Proven success in enterprise sales within the Insurance industry Strong network within the North American Insurance sector, ideally with Fortune 1000 connections Deep understanding of Insurance business challenges and the application of AI and data science to solve them Excellent communication, presentation, and interpersonal skills, with the ability to influence at all levels Experience managing complex sales cycles and negotiating large enterprise deals Strong collaboration skills with the ability to manage multiple stakeholders Bachelor s degree in a relevant field (MBA preferred) Minimum 5 years of enterprise sales experience within the Insurance industry Qualification : Bachelors degree in a relevant field (MBA preferred)

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Job Title: Segment Manager Water & Wastewater, India Location: Bengaluru, India Business Area: Process Automation Measurement & Analytics Division Reporting to: Business Development Manager Work Model: Onsite (#LI-Onsite) About ABB At ABB, we are committed to tackling global challenges with innovation, technology, and sustainable solutions. Our core values care, courage, curiosity, and collaboration drive our approach to empowering diverse talent and fostering an inclusive work environment. Your Key Responsibilities As Segment Manager Water & Wastewater, you will lead marketing and sales efforts for ABB s products, systems, and services within the Water & Wastewater segment across India. Your primary focus will be to drive revenue growth, enhance customer satisfaction, and expand market share. Leadership: Lead the segment team and promote global sales efficiency and performance. Strategic Relationships: Build strong relationships with key external influencers, customers, and industry bodies to capture new business opportunities. Collaboration: Drive cross-division and cross-country collaborations, ensuring knowledge sharing across ABB s global network. Market Insights: Conduct competitive benchmarking, market analysis, and gather operational intelligence to identify trends, product gaps, and competitor strategies. Qualifications & Experience Education: Bachelor s degree in Electrical, Electronics, or Instrumentation Engineering. Experience: 10 to 15 years of sales or business development experience, ideally in the Water & Wastewater industry. Experience handling sales planning, market intelligence, and capability development. Strong experience working with SFDC (Salesforce) and sales data analytics. Skills: Customer-centric approach with strong interpersonal and presentation skills. Analytical mindset with problem-solving capabilities. Comfortable working with cross-functional teams, marketing, and communication teams. Languages: Fluent in English (verbal and written). Location Flexibility: While the primary location is Bengaluru, candidates based in Delhi/NCR, Kolkata, Mumbai, or Chennai are also encouraged to apply. About ABB Measurement & Analytics Division ABB s Measurement & Analytics Division is a global leader in smart instrumentation and analyzers, helping industries optimize processes through accurate data collection and analysis. Our portfolio includes: Analyzers for gas and liquid composition. Instruments measuring temperature, pressure, flow, and level. Advanced digital solutions for device health checks and predictive maintenance. Applications across oil & gas, chemicals, water & wastewater, power, hydrogen, batteries, and marine industries. At ABB, we value diverse talent and unique perspectives. Join us to shape the future of industrial digital transformation while driving sustainable operations. Qualification : Bachelors degree in Electrical, Electronics, or Instrumentation Engineering.