Power BI Developer Jobs in Bengaluru

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

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)

Job Title: Business Analyst Granite Location: Bengaluru Company: Altisource About Altisource At Altisource, we thrive in a fast-paced, collaborative environment where innovation meets impact. If you're a self-motivated, quick learner who enjoys working both independently and in teams and you're passionate about data, automation, and creating business value we d love to meet you! We re currently seeking a Business Analyst to join our Granite team, focusing on data analysis, configuration, and financial operations. This is an exciting opportunity to contribute to a growing, stable organization and build a meaningful career. Key Responsibilities Data Analysis & Reporting Execute complex data queries and generate reports using SQL. Analyze operational and financial data to support business strategy. Create insights using Excel, Power Query, and other reporting tools. Billing & Financial Operations Manage invoicing, billing, and reconciliation in coordination with the Accounting team. Maintain accurate financial records and ensure compliance with internal processes. Apply basic accounting principles in financial workflows. Documentation & Process Management Create and maintain business documentation, process manuals, and reports. Edit and format PDFs to align with company standards. Organize operational data and financial records for easy access. Client Engagement & Onboarding Work directly with clients to gather business requirements. Support onboarding and ensure a smooth integration process. Translate client needs into functional product workflows and features. Automation & Efficiency Develop automation tools using VBA, Power Query, and other platforms. Continuously seek ways to streamline processes and improve productivity. Cross-Functional Collaboration Partner with technology and business teams to deliver solutions. Communicate effectively with stakeholders, including senior leadership. Design process flows (Visio) and prepare executive presentations (PowerPoint). Qualifications Bachelor s degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field. 3+ years of experience in business analysis, product management, or operations. Hands-on experience managing IT projects and system integrations. Proficient in SQL, Excel, Word, Visio, and PowerPoint. Knowledge of financial systems, databases, and BI tools. Preferred Skills Strategic thinker with strong problem-solving skills. Excellent communication and stakeholder management abilities. Strong documentation and organizational skills. Experience with SaaS platforms and financial data handling is a plus. Join us and be part of a team that values innovation, integrity, and impact. Qualification : Bachelors degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Job Title: Lead Business Analyst / Product Owner Location: Bangalore, India Experience: 8 12 Years Employment Type: Full-Time Role Overview: We are seeking a dynamic and experienced Lead Business Analyst / Product Owner to lead the strategic planning and delivery of high-value products in the payments domain. The ideal candidate will bridge business objectives with technical execution, ensuring seamless communication between stakeholders, development teams, and end-users. This role is critical in shaping product vision, driving agile practices, and delivering meaningful solutions aligned with business goals. Domain Expertise: Candidates must have hands-on experience in payments-related projects or the financial services domain. Key Responsibilities: Requirement Gathering & Analysis: Engage with stakeholders to gather and analyze business needs and translate them into clear and actionable requirements. Prepare functional and non-functional specifications, user stories, process maps, and wireframes. Ensure alignment between business expectations and technical deliverables. Product Ownership & Backlog Management: Own and manage the product backlog with a focus on continuous grooming and prioritization. Develop, articulate, and communicate the product vision, strategy, and roadmap. Define user stories, acceptance criteria, and epics that drive value and deliver outcomes. Stakeholder Collaboration: Act as a key liaison between business stakeholders and technical teams, ensuring shared understanding of product goals. Conduct and facilitate sprint planning, reviews, and retrospectives in collaboration with cross-functional teams. Ensure seamless coordination among developers, testers, UX designers, and business teams. Testing & Validation: Lead User Acceptance Testing (UAT) and validate that product features meet stakeholder requirements. Track feedback from end users and incorporate into the backlog for iterative improvements. Ensure that solutions are aligned with business objectives and customer needs. Market Research & Strategy: Analyze market trends, competitor offerings, and customer feedback to drive data-informed product decisions. Define and monitor key performance indicators (KPIs) and product success metrics. Support product launch planning and go-to-market strategies. Required Skills & Qualifications: Experience: 8 12 years in business analysis, product ownership, or related roles. Education: Bachelor's or Master s degree in Business, Computer Science, or a related discipline. Technical Skills: Strong experience working in Agile environments (Scrum/Kanban). Proficiency in tools such as JIRA, Confluence, Figma, or Trello. Good understanding of APIs, databases, and system integrations (preferred). Soft Skills: Excellent communication, stakeholder engagement, critical thinking, and problem-solving capabilities. Preferred Qualifications: Relevant certifications such as CBAP, CSPO, or PMI-PBA. Experience with UX/UI principles and wireframing tools. Working knowledge of SQL for data analysis is a plus. Qualification : Bachelor's or Masters degree in Business, Computer Science, or a related discipline.

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

SQL Developer Team Lead (8 12 Years) | Bangalore (Work from Office) Location: Bangalore (Onsite) Experience: 8 to 12 Years Employment Type: Full-time About the Role We are looking for a SQL Developer Team Lead to join our fast-growing engineering team in Bangalore. In this leadership position, you will be responsible for managing a team of SQL developers, designing scalable data architectures, and optimizing high-performance queries and stored procedures. This is an exciting opportunity to work on large-scale enterprise applications that power the real estate and construction industry through our flagship platform, In4Suite . Key Responsibilities Lead, mentor, and manage a team of SQL developers, driving technical excellence and collaboration. Develop and optimize complex T-SQL stored procedures, triggers, functions, and SSIS packages. Design reusable and scalable database schemas for multi-tenant architecture across customers. Perform performance tuning and query optimization for large datasets. Maintain and evolve the data dictionary and metadata documentation. Work on Microsoft SQL Server 2012 and above for server-side database development. Ensure adherence to coding standards and best practices for SQL development. Conduct regular code reviews, QA checks, and validation of data exports and reports. Collaborate with cross-functional teams in a Scrum/Agile environment. Troubleshoot and resolve complex SQL/database-related issues independently. Required Skills Strong hands-on experience with Microsoft SQL Server (2012 and above). Expert-level knowledge in T-SQL programming and SSIS (SQL Server Integration Services). Proven track record in data modeling, schema design, and multi-tenant architecture. Skilled in query optimization, performance tuning, and analyzing execution plans. Solid understanding of database best practices, indexing strategies, and stored procedure optimization. Experience managing a high-performing development team in a product-based environment. Preferred Skills Familiarity with .NET code and jQuery is a plus. Experience with SSRS (SQL Server Reporting Services) for report generation. Exposure to Database Administration (DBA) tasks such as backups, indexing, and monitoring. Working knowledge of Agile project tracking tools and collaboration platforms. Educational Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. 8 to 12 years of relevant industry experience in SQL development and database leadership roles. Soft Skills & Team Culture Fit Strong leadership qualities with a team-first mindset. Excellent written and verbal communication skills. Highly analytical with a proactive problem-solving attitude. Eager to mentor and support junior team members. Committed to continuous learning and knowledge-sharing. Benefits of Working with In4Velocity Flexible working hours Continuous learning & professional development opportunities Medical and insurance coverage Work with a fast-growing enterprise software company Collaborative and inclusive team culture About In4Velocity Founded in 2004, In4Velocity is a market leader in providing technology solutions for the real estate, construction, and infrastructure sectors. Our flagship product, In4Suite , is an end-to-end ERP platform that helps real estate developers streamline operations and make data-driven decisions through a single, unified system. Trusted by clients globally, In4Suite eliminates the need for multiple disjointed tools by combining project management, sales, finance, procurement, and CRM into one powerful ecosystem. With unmatched support, intuitive design, and deep business intelligence capabilities, In4Suite is the platform of choice for digitally transforming real estate businesses. Apply now and become part of a pioneering technology company redefining real estate management. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

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.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the globe. As a part of our team, you will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative companies in the world. Your ability to accelerate impact and drive meaningful change for clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio. In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we offer deep technical expertise to public and private sector clients worldwide. Our centers provide locally based skills and technical expertise, driving innovation and adoption of cutting-edge technology. Role and Responsibilities As a Software Developer, you will be a key part of the software development lifecycle, participating in design, code implementation, testing, and ongoing support. Your efforts will contribute to creating solutions that accelerate your clients' hybrid cloud and AI journeys. Your primary responsibilities include: Proficient Software Development with Microsoft Technologies: Demonstrate your expertise in Microsoft technologies, delivering high-quality code and ensuring efficient application performance. Collaborative Problem-Solving and Stakeholder Engagement: Work closely with stakeholders to understand product requirements, proactively addressing challenges with innovative software solutions. Agile Learning and Technology Integration: Stay updated with the latest Microsoft technologies, continuously learning and integrating new knowledge to improve development processes and product features. Required Education Bachelor s Degree in Computer Science or a related field. Preferred Education Master s Degree in Computer Science or a related field (preferred but not required). Required Technical and Professional Expertise Microsoft Power Platform Expertise: Drive Power Platform implementations through all project phases, including discovery, definition, build, testing, and deployment. Experience with Microsoft Power Platform: 3 to 4 years of experience designing Power Platform implementations using best practices and governance standards. Hands-on Experience with Power Platform Suite: Expertise in using the Microsoft Power Platform suite (Power Apps, Power BI, Power Pages, Power Automate, Virtual Agents, AI Builder in Power Apps), and extending/customizing Microsoft apps and services like Teams, Dynamics 365, Excel, and Word. Custom Business Apps Development: Experience designing and developing custom business apps such as Canvas Apps, SharePoint Form Apps, Model Driven Apps, and Power Pages. Microsoft Dataverse Expertise: Hands-on experience working with Microsoft Dataverse to manage and store data for apps built on the Power Platform. Preferred Technical and Professional Experience Advanced Microsoft Power Platform Suite Experience: Extensive experience with the full Microsoft Power Platform suite (Power Apps, Power BI, Power Automate, Virtual Agents, AI Builder) to design, develop, and deploy solutions. Custom App Development Expertise: Additional experience in designing and developing custom apps for business processes, extending Microsoft services and integrating new business functionalities. Data Integration and Management: Proficient in utilizing Microsoft Dataverse for data management and integration within business applications. About IBM Consulting IBM Consulting is a global leader in business and technology transformation, offering innovative services across strategy, experience, technology, and operations. With deep industry expertise, we partner with the most valuable companies in the world to help them evolve and drive growth. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science or a related field (preferred but not required).

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

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 Title: Sr. Data Engineer Job Overview: We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in Snowflake to manage data ingestion and transformation. The ideal candidate will work with an offshore team to deliver scalable data solutions aligned with business and performance requirements. Key Responsibilities: Design, build, and maintain ELT pipelines using Snowflake. Lead offshore development teams in applying data engineering best practices. Collaborate with stakeholders to manage data integration across systems. Optimize data pipelines for performance and reliability, including query tuning and resource management. Implement data validation processes to ensure data accuracy. Document data pipelines, flow diagrams, and transformation logic. Troubleshoot pipeline failures and resolve performance issues. Ensure compliance with data governance and regulatory requirements. Required Qualifications: 5+ years of experience in data engineering with a focus on ELT development. Strong expertise in Snowflake, including data sharing, secure views, and performance optimization. Proficiency in SQL and data integration tools. Experience managing offshore development teams. Strong problem-solving and communication skills. Preferred Qualifications: Snowflake certification or relevant certifications. Experience in financial services with knowledge of data security and compliance. Familiarity with cloud platforms (AWS, Azure) and orchestration tools like Apache Airflow. Experience with Python or JavaScript for data transformation. Knowledge of data visualization tools like Tableau or Power BI.

Job Title: Data Engineer Location: Bengaluru (Hybrid) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Position Overview: We are seeking a highly skilled Data Engineer with a strong background in data warehousing, advanced analytics, and AI integration. The ideal candidate will have 5+ years of experience designing and implementing data pipelines, building robust analytics platforms, and working with modern data technologies like Snowflake, Google Cloud, Databricks, Looker, PowerBI, and Tableau. As part of our Delorean team, you will play a pivotal role in driving innovation and ensuring our data infrastructure supports strategic decision-making. Key Responsibilities: Data Infrastructure Development: Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion, transformation, and storage across multiple platforms. Experience with Cloud Data Platforms: Expertise in implementing and optimizing solutions using industry-leading tools such as Snowflake, Databricks, and Google Cloud Platform. Demonstrated ability to ensure high performance, scalability, and cost-effectiveness in data infrastructure and workflows. Analytics & Visualization: Build and maintain interactive dashboards and reports using Looker, PowerBI, and Tableau to provide actionable insights to business stakeholders. AI & Advanced Analytics: Collaborate with Data Science teams to integrate AI models and machine learning workflows into data pipelines for predictive analytics and automation. Data Governance: Ensure data quality, security, and compliance with industry best practices and regulatory requirements. Collaboration: Partner with cross-functional teams, including Product, Engineering, and Business Operations, to understand data requirements and deliver tailored solutions. Continuous Improvement: Identify opportunities to improve data workflows, adopt new technologies, and drive operational efficiency. Qualifications: Education: Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. Experience: 5+ years of hands-on experience in data engineering, data warehousing, or related fields. Technical Skills: Expertise in Snowflake, Databricks, and Google Cloud Platform (Mandatory experience in at least one tool). Proficiency in ETL/ELT processes and data pipeline tools (e.g., Apache Airflow, dbt). Experience with data visualization tools like Looker, Power BI, and Tableau. Strong SQL skills and familiarity with Python or Scala for data processing. Knowledge of AI/ML concepts and frameworks for integrating predictive models. Soft Skills: Excellent problem-solving skills with a proactive mindset. Strong communication and collaboration skills to work effectively with technical and non-technical teams. Ability to manage multiple priorities in a fast-paced environment. Modern customer experiences need a flexible cloud database platform that can power applications spanning from cloud to edge and everything in between. Couchbase s mission is to simplify how developers and architects develop, deploy, and consume modern applications. With Capella, our flexible, affordable cloud platform, we empower organizations to quickly build and deliver premium customer experiences with unmatched price-performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: Comprehensive medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: A Be valued, Create value approach to your career development. Fun Perks: Ergonomic office setup, food & snacks for in-office employees, and more! Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build anywhere on the edge, on-premises, or across multiple cloud providers. With a global presence and over 175,000 developers joining MongoDB monthly, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview We are seeking passionate and skilled technologists to join our Pre-Sales organization, ensuring that our growth is strategically aligned with our platform s capabilities and our customers needs. As a Pre-Sales Solution Architect, you will guide customers in designing and implementing reliable, scalable systems using MongoDB s data platform. Our team consists of experienced software architects, entrepreneurs, and developers who take direct responsibility for customer success from software design to deployment and operations. You will collaborate closely with our sales team, playing a key role in securing deals and driving business growth. As a trusted advisor, you will work with a diverse range of clients, from startups to large enterprise IT organizations. If you d like to learn more about the role, explore the experiences of Veronica Tudor, Matt Kalan, and Winston Vargo on our Life at MongoDB blog. This role is based in our Bengaluru office as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: 10+ years of professional experience, including a strong background in software development. 3+ years of pre-sales experience with enterprise software solutions. Proficiency in at least two modern scripting or programming languages (e.g., Python, Node.js, SQL, C/C++, Java, C#). Hands-on experience with scalable and highly available distributed systems. Willingness to travel within the region, including international travel as needed. Preferred Qualifications: Experience selling databases or deploying applications with major cloud providers (AWS, Google Cloud, Azure). Familiarity with database programming and data modeling best practices. Key Responsibilities Design systems, applications, and infrastructure to support large-scale software development projects using MongoDB. Provide technical guidance on architectures, patterns, and best practices for leveraging MongoDB effectively. Support the sales team with technical discovery, demonstrations, proof of value, presentations, system sizing, and documentation of technical decision criteria. Translate technical concepts into business value for stakeholders, including executives and decision-makers. Act as a liaison between customers and MongoDB s Product Management team, providing field insights and feedback. Represent MongoDB at industry events, trade shows, and account-based marketing initiatives to drive demand. Mentor and support other pre-sales team members, sharing knowledge and best practices. Demonstrate situational awareness and adaptability in dynamic team environments. Learning & Development Opportunities Gain in-depth knowledge of MongoDB s rapidly evolving product suite, including: Core Database Server Atlas (fully managed cloud database service) Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile Database), Charts Developer Tools & Connectors (Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark) Expand expertise in complementary technologies such as Apache Kafka and Kubernetes. Learn and apply modern architecture methodologies, including microservices, event-driven architectures, DevOps, and cloud security. Develop and refine sales techniques, including presentations, demonstrations, whiteboarding, discovery, and objection handling. Gain exposure to a diverse range of industries and real-world use cases. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter.

Position: BI Developer Experience: 5 7 years Education: Bachelor s in Engineering / Master s degree in Computer Science, Information Systems, or related field Industry: IT / Business Intelligence Job Type: Full-Time Responsibilities: Design and implement scalable solutions for large data volumes using SQL tools like SSRS and SSIS. Collaborate with cross-functional teams to understand data requirements and provide effective solutions. Implement real-time data ingestion and processing solutions. Develop a solid understanding of data analytics, database management, and ETL tools like DataStage. Implement best practices for data security, integrity, and quality. Optimize and troubleshoot data-related issues to ensure seamless operations. Requirements: Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 5 7 years of experience in Business Intelligence. Technical expertise in designing, developing, coding, unit testing, QA support, production deployment, and debugging production issues using SSIS/SSRS. Experience with databases and data warehousing concepts (Preferred: MS-SQL). Strong SQL skills with experience writing complex queries. Working knowledge of data warehousing, SCD concepts, data modeling, governance, and data architecture. Hands-on experience in Unix shell scripting. Proficiency in designing and maintaining scalable data architectures. Experience with CI/CD tools like GitHub and Azure DevOps. Join Us! Let s celebrate work! Be part of a team that values innovation, collaboration, and continuous growth. Qualification : Bachelors in Engineering / Masters degree in Computer Science, Information Systems, or related field

Position: Power Platform Engineer Experience: 5+ years of experience with Power Platform and related technologies Employment Type: Full-time Mandatory Skills: Delivering services and solutions using Microsoft PowerApps, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations. Hands-on experience with Dataverse and related business process automations. Proficiency in migrating Power Platform solutions across different tenants with a solid understanding of data connections and references. Basic SharePoint Online experience with lists, libraries, and connectivity. Azure DevOps experience. Familiarity with Agile (Scrum) development processes. Stay updated with the latest features and trends in PowerApps and Power Automate. Tasks and Responsibilities: Understand and contribute to the overall Power Platform migration program. Ensure technical quality and compliance with the overall architecture. Execute migration requirements while testing and working in direct contact with customers. Collaborate closely with cross-functional teams to deliver solutions that align with business needs. Desired Skills: Self-driven with the ability to provide solutions independently and as part of a team. Experience working in Agile (Scrum) development environments. Experience in a project-oriented, international matrix organization. Excellent communication skills, with the ability to work across multiple countries and time zones. High degree of flexibility and strong interpersonal skills. Willingness to travel for close coordination with the team as required. Join Us! We offer a dynamic environment, opportunities for growth, and the chance to work on exciting Power Platform projects in a global organization. If you re passionate about delivering high-quality solutions and staying ahead of industry trends, we d love to hear from you!