Power Modeling Jobs in Bengaluru

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)

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

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

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Financial Data Analyst Location: Bengaluru, India Employment Type: Full-time Department: Global Operations About Commure Commure develops AI-driven healthcare technology that reduces administrative burden for providers, enabling more patient-centered care. Our solutions cover clinical documentation, revenue cycle management, patient engagement, and more serving over 250,000 clinicians nationwide and rapidly scaling. Role Overview We are seeking a Financial Data Analyst to ensure the accuracy and integrity of revenue transaction data ingested from various Electronic Health Record (EHR) systems into our financial databases. This role combines quality assurance, data analysis, and a solid grasp of healthcare revenue cycles and compliance. Key Responsibilities Data Verification: Validate revenue transactions from EHR systems against ingested data. Quality Assurance: Develop and execute test plans, document discrepancies, and track defects in data ingestion processes. Mathematical Analysis: Use mathematical techniques to confirm financial data accuracy and integrity. Process Improvement: Collaborate with development teams to enhance data ingestion workflows and QA methods. Documentation: Maintain thorough records of QA tests, data mappings, and findings; prepare reports for stakeholders. Cross-Functional Collaboration: Work with IT, finance, and operations teams to ensure consistent data quality. Compliance: Adhere to HIPAA and other relevant regulatory standards, staying current with best practices in healthcare data handling. Qualifications Bachelor s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 3 years of experience in quality assurance or data analysis. Familiarity with healthcare revenue cycles and compliance standards. Advanced Microsoft Excel skills (VLOOKUP, pivot tables, macros), with experience in automation and data modeling preferred. Experience with data visualization tools such as Tableau or Power BI. Strong statistical, mathematical, and analytical abilities. Proficient in SQL and comfortable working with large datasets. Experience with automated QA/testing frameworks and methodologies. Clear communicator able to convey complex data insights to varied stakeholders. Willingness to work night shifts aligned with US time zones (EST to PST). Mission-Driven: Make a tangible impact by transforming healthcare through technology. Strong Investor Support: Backed by leading investors like General Catalyst, Sequoia, and Y Combinator. Rapid Growth: Both companies have achieved 500%+ YoY growth, with ongoing Series D funding. Comprehensive Benefits: Flexible PTO, health coverage, parental leave (subject to location). Qualification : Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

Job Title: Operations Analyst Location: Bengaluru, India Company: ShopUp About ShopUp ShopUp is Bangladesh s leading full-stack B2B commerce platform for small businesses. With a mission to empower underserved retailers through technology, logistics, and financial services, ShopUp builds end-to-end infrastructure to solve core supply chain problems. Our India-based tech and data teams play a critical role in scaling intelligent, data-driven solutions across our platform. Role Overview We are looking for a performance-driven Operations Analyst to join our Bengaluru team. The ideal candidate will have a strong foundation in data analytics, a clear understanding of B2B commerce and logistics models, and the ability to drive cross-functional collaboration using insights derived from operational metrics. Key Responsibilities Analyze end-to-end operational data to identify bottlenecks, inefficiencies, and opportunities for optimization. Define and monitor operational KPIs; create dashboards that track performance across functions and geographies. Collaborate closely with finance, business, and tech/product teams to align operations with strategic business goals. Quantify the financial impact of inefficiencies and support data-driven decision-making for process improvements. Partner with product and operations teams to develop and refine SOPs to streamline workflows. Support the execution and tracking of operational enhancement projects through data and insights. Prepare regular performance dashboards and reports for senior leadership and key stakeholders. Qualifications Education: Bachelor s degree in Engineering, Data Science, Economics, or a related field. Experience: 3 5 years of relevant experience in operations, logistics, or business analysis, preferably in a B2B commerce or supply chain-focused organization. Key Skills Strong data analysis and problem-solving skills; ability to perform root cause analysis (RCA) and recommend actionable solutions. Proficiency in SQL (MS SQL, PostgreSQL, or MongoDB) for advanced queries and data extraction. Expertise in Excel/Google Sheets with experience in complex data modeling. Experience with BI and dashboarding tools (e.g., Power BI, Tableau, Looker Studio). Working knowledge of Python, R, or Go for data manipulation is a plus. Familiarity with ERP/CRM workflows and systems. Experience with project management tools (e.g., JIRA, Trello, Asana). Strong interpersonal and communication skills, with an ability to work cross-functionally and present insights to non-technical stakeholders. Be part of a fast-growing tech-first company solving real-world problems in emerging markets. Work alongside a talented and mission-driven team across India and Bangladesh. Enjoy a collaborative work culture with autonomy, growth opportunities, and continuous learning.

Business Intelligence Manager | Power BI | Data Analytics | SQL | Bangalore Location: Bangalore, India Department: Business Analytics & Insights Reports To: Director, Business Analytics & Insights Experience Required: 5+ years in Business Intelligence or Data Analytics Industry: SaaS / Revenue Lifecycle Management About Conga: At Conga, we empower businesses to drive transformational revenue growth by aligning their teams, processes, and technology. Our revenue lifecycle management platform simplifies the complexity of order configuration, fulfillment, and contract renewals through a unified data model and automation. Our culture is defined by the Conga Way a values-based framework that shapes our decision-making, teamwork, and innovation. Position Overview Business Intelligence Manager: We re seeking an experienced Business Intelligence (BI) Manager to join our team in Bangalore. In this critical role, you will lead the transformation of large and complex datasets into actionable insights using Power BI, drive data governance, and automate reporting processes to support strategic decision-making across the organization. Key Responsibilities: Power BI Expertise: Build and optimize advanced Power BI dashboards and reports using DAX and complex data modeling. Team Leadership: Manage and mentor BI developers and analysts, ensuring high-quality and scalable insights delivery. SQL & Data Warehousing: Leverage SQL (preferably with Snowflake) for data transformation and efficient report querying. Automation: Streamline reporting processes using Power Automate and related tools, improving efficiency and accuracy in executive and board-level reporting. Data Governance: Implement data quality, security, and governance standards to ensure reliable analytics. Documentation: Maintain clear and complete documentation of BI solutions, data flows, and reporting logic. Stakeholder Collaboration: Translate business requirements into technical specifications and collaborate with the enterprise data team to enhance existing models and analytics solutions. Qualifications: Minimum 5 years of experience in BI, analytics, or data reporting roles, with at least 2 years leading a team. Proficiency in Power BI, DAX, and SQL. Experience working with Snowflake or other cloud data platforms. Strong understanding of customer retention, renewals, or customer success metrics. Familiarity with Power Automate or similar automation tools is a plus. Demonstrated experience in data governance, data quality control, and standardization across reporting environments. Bachelor s or Master s degree in Engineering or a related technical field. A technical degree with an MBA is preferred. Excellent communication skills capable of presenting technical insights to both business and technical audiences. Join a forward-thinking SaaS company leading the charge in revenue lifecycle management. Work in an inclusive, values-driven environment with opportunities for career development and innovation. Be part of a culture where clarity, collaboration, and customer-centricity drive everything we do. Qualification : Bachelors or Masters degree in Engineering or a related technical field. A technical degree with an MBA is preferred.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.

Job Title: Global FP&A and Sustainability Analyst Location: Bangalore (with hybrid work model) Reporting to: Financial Planning & Analysis Manager (solid line) and Global FP&A team (dotted line) Work Model: Hybrid / Onsite (#LI-Hybrid, #LI-Onsite) About ABB At ABB, we are committed to addressing global challenges through innovation, collaboration, and sustainability. Our core values Care, Courage, Curiosity, and Collaboration along with our focus on diversity, inclusion, and equal opportunities, drive us to empower our employees and create impactful solutions for a better future. Role Overview We are looking for a proactive and analytical FP&A and Sustainability Analyst to join our Center of Excellence (CoE) team in India. In this role, you will act as a critical link between Finance and Sustainability functions, supporting the Global Business Area of Motion. You will be responsible for evaluating financial and sustainability KPIs, building and maintaining analytics dashboards, and acting as a business partner to Global Divisions and other functions. This is an exciting opportunity for a finance professional with a sustainability mindset to contribute directly to global initiatives, driving meaningful insights and improvements across the Motion business. Key Responsibilities Conduct financial analysis and validate data accuracy to support the financial reporting, planning, budgeting, and forecasting processes. Support business analytics processes by developing Power BI dashboards and other data visualization tools for internal stakeholders. Assist in ESG reporting for the Motion business area prepare reporting templates, aggregate data, and conduct data analysis to track sustainability performance. Collaborate closely with finance and sustainability teams across divisions, regions, and countries to drive alignment and ensure data accuracy. Actively participate in global initiatives and Finance/Sustainability projects, contributing insights and solutions from a local and global perspective. Provide additional finance and sustainability support during peak reporting periods, year-end, and special projects as needed. Qualifications & Experience Education: Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance). Full-time Finance Graduate background. Experience: Minimum 2+ years of professional experience in FP&A, finance analytics, or sustainability reporting. Strong interest in Sustainability and ESG reporting (additional certification or education in Sustainability topics would be advantageous). Technical Skills: Proficiency in Microsoft Office 365, especially Excel. Hands-on experience with Power BI (dashboard creation, data modeling, visualization). Understanding of end-to-end processes, systems, and data flows in Abacus Analyzer and ATLAS is preferred. Interpersonal Skills: Excellent communication and collaboration abilities. Strong team player with the ability to work independently towards defined goals. Exceptional attention to detail and strong organizational and multitasking capabilities. About ABB Finance ABB Finance is a trusted business partner, delivering forward-looking insights and sustainable long-term results, all while maintaining the highest standards of integrity and transparency. Our global Finance team plays a crucial role in enabling innovation and supporting ABB s transformation toward a more sustainable and efficient future. Work at the intersection of Finance, Sustainability, and Data Analytics. Be part of a global team driving sustainable transformation in a leading technology company. Collaborate across divisions and geographies, expanding your global network. Enhance your technical and analytical skills with exposure to cutting-edge tools and processes. Experience a culture that values diversity, innovation, and continuous learning. Qualification : Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance).

Job Description Intel is seeking an enthusiastic, motivated, and self-driven engineer specializing in Power Analysis and Signoff. This role involves working on power and performance optimization for complex multi-million gate SoCs, collaborating across teams to ensure low-power design efficiency and successful tape-out. Key Responsibilities: Define and analyze chip power & performance targets. Perform FSDB analysis for various design power scenarios and extract optimal activity windows. Conduct power estimation and analysis at block level and aggregate total power for SoC. Collaborate with architecture, design, and implementation teams for power optimization. Execute low-power (LP) checks at both block and full-chip level, analyze logs/reports, and ensure high-quality results. Work closely with Front-End (FE) and Back-End (BE) teams to achieve overall power convergence and low-power signoff for tape-out. Qualifications & Experience: Educational Requirements: B.E/M.E in Electrical Engineering or a related field. 8+ years of experience in logic design, synthesis, and low-power design/implementation for complex SoCs. Technical Expertise: Proficiency in power analysis tools such as PT-PX/Prime Power. Experience with FSDB analysis using Verdi tool. Knowledge of Power Artist for power analysis (a plus). Hands-on experience with industry-standard LP check tools like PTPX for power estimation. Strong analytical and problem-solving skills. Scripting expertise in Tcl, Perl, and Python (required). About the Xeon and Networking Engineering (XNE) Group: The Xeon and Networking Engineering (XNE) Group focuses on the development and integration of Xeon and Networking SoCs, supporting Intel s Xeon and 5G networking roadmap. XNE drives high-performance computing innovations while ensuring power efficiency and scalability. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, disability, veteran status, or any other protected characteristic under local law. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career advancement. Qualification : B.E/M.E in Electrical Engineering or a related field.

Job Title: Power Optimization & Performance Engineer Windows Platforms Job Description: Intel is seeking a Power Optimization & Performance Engineer to drive power efficiency and responsiveness enhancements across Windows platforms. The role involves deep analysis of software workloads, power-performance tuning, and debugging complex system-level issues to optimize Intel s laptop and desktop platforms. The engineer will work closely with platform architects and cross-functional teams to define power-performance metrics, develop battery life improvement strategies, and drive forward-looking technology readiness initiatives. Key Responsibilities: Power & Performance Analysis: Perform in-depth analysis of software flows at the trace, thread, and process ID levels to identify power optimization opportunities and performance bottlenecks. Platform Power Optimization: Leverage state-of-the-art analysis tools to identify and resolve battery life and performance issues in domains such as Graphics, Multimedia, Display, Imaging, and CPU. Technical Leadership & Troubleshooting: Diagnose complex system-level power and performance issues, demonstrating strong debugging expertise in Windows-based Intel platforms. Cross-Team Collaboration: Work with platform architects and engineers to define power-performance metrics, optimize power delivery across SoC components, and influence next-generation platform architectures. Windows OS & Driver Optimization: Identify and drive power savings features or performance tuning opportunities into current and next-gen Intel platforms. Collaborate with OS and driver teams for power-aware enhancements. Future Technology Readiness: Analyze expected vs. actual platform behavior, propose forward-looking enhancements, and influence SoC and Windows OS architectures. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Electronics or Computer Engineering or related fields. Technical Expertise: Embedded Systems & Software Development: Experience in software/firmware development, integration, or validation. Platform Power Management: Understanding of CPU/SoC architecture, power delivery, sensors, memory, storage, display, multimedia, and imaging subsystems. OS & System Debugging: Strong grasp of Windows OS fundamentals, system-level debugging, and exposure to firmware & device drivers. Windows Debug Tools: Experience with Windows Driver Debugging and Windows Debug tools (preferred). Power & Performance Optimization: Hands-on experience with power-performance measurement, analysis, and benchmarking. Analytical & Problem-Solving Skills: Ability to troubleshoot complex system issues and propose efficient power-saving techniques. Excellent Communication & Collaboration: Strong ability to interact across teams and drive technical discussions. About Intel s Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-ones. As Intel s largest business unit, CCG is dedicated to enhancing PC experiences, fostering innovation, and delivering market-leading computing solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a highly competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Electronics or Computer Engineering or related fields.

As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its great technology and amazing people. We seek a Senior Power and Thermal Engineer to join our dynamic and fast-paced Silicon Solution Group. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system from silicon design, software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers a unique opportunity to collaborate with multiple organizations in the company and grow your career in a high impact role. We need a passionate, hard-working, and creative individual to architect and productize next generation power and performance controllers. What You Will Be Doing: Responsible for architecting, developing, characterization of next generation power and thermal management features and solutions working with multi-functional teams across the company. Drive methodologies for deployment of features into products. Drive initiatives for power and thermal optimizations spanning across silicon, platform, software, manufacturing, and product systems; for products ranging from largescale datacenters to low-power client devices. Debug and architect solutions for issues seen by customers in the field across a wide range of industries. Influence next generation SW, chip, board, and platform design of products across SOC, GPU and CPUs in Laptops, Servers, and Datacenters Work alongside system architects, designers, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market. What We Need to See: B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience) 4+ years of experience in silicon bring-up, validation, and productization. Experience with power and thermal controllers and management. Expertise and deep understanding in the areas of silicon power, transistor/device physics, power modeling and measurement, active power management is a plus Proficiency in Python, Perl or C programming languages. Self-starter with strong skills in multi-tasking, influencing, communication, presentation, and consensus-building Enthusiastic, responsive, and keen on process improvement With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Qualification : B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience)

Experience Level: 4+ years (Bachelor s), 3+ years (Master s), or 2+ years (PhD) Preferred Domains: Embedded Systems, Mobile, IoT, Automotive General Summary: We are seeking a highly skilled Systems Engineer with experience in post-silicon validation, system modeling, and power-performance optimization. The ideal candidate will work on cutting-edge embedded systems with a focus on CPU, GPU, and AI workload performance. This role offers an opportunity to collaborate with cross-functional teams to optimize SoC performance and contribute to next-generation product innovations. Preferred Qualifications: Experience in as many of the following areas is desirable: Embedded Systems & Mobile/IoT/Auto Domains: Hands-on experience with complex embedded systems and SOC performance. Post-Silicon Validation: System validation, performance analysis, and feedback to influence future product development. Power & Performance Analysis: Analyzing power-performance data for various CPU, GPU, and AI workloads/benchmarks. System Modeling & Profiling: Expertise in power/performance use cases, SOC profiling, PPA tradeoffs, and product qualification. CPU Microarchitecture: Knowledge of cache, latency, bandwidth analysis, and optimization. Linux/Android Kernel Development: Experience with device driver development, Android architecture, and system programming. Power Optimization: Experience with DVFS/DCVS governors and power management at the system level. Hands-On Lab Experience: Familiarity with DAQs, oscilloscopes, JTAG, ARM Developer Studio, and power data acquisition. Automation & Scripting: Proficiency in Python, shell scripting, ADB shell, and automation environments for Linux/Android systems. Collaboration & Leadership: Ability to work with internal teams and external partners for analysis and optimization. Acts as a tech lead and provides guidance to engineering teams. Tools & Version Control: Exposure to Git, Jira, Android, and QTI tools. Key Responsibilities: Perform post-silicon validation of SoC performance and architecture. Analyze and optimize power-performance trade-offs in collaboration with architecture teams. Develop and enhance tools to assist in performance analysis and workload characterization. Drive power and performance optimization for CPUs, GPUs, and AI workloads. Provide technical leadership and guide teams on system-level optimization and validation. Collaborate with internal and external teams to achieve performance goals. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience. Master s degree in Engineering, Information Systems, Computer Science, or a related field and 3+ years of relevant experience. PhD in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience. Skills: Strong understanding of computer architecture and OS fundamentals. Excellent communication and presentation skills. Ability to manage tasks independently and work in a fast-paced environment.