Data Automation Jobs in Mumbai

Manager - Sales Force Effectiveness (SFE) Location: Mumbai Group Company: RPG Life Sciences About the Role The Sr. Manager - SFE is responsible for driving operational excellence through data-driven insights, automation, and digital tools. This business-critical role ensures real-time KPI analysis, aligns sales activities with corporate goals, and mentors the team to enhance productivity across the organization. Key Responsibilities Strategy, Analytics & Benchmarking Align sales efforts with business objectives, including segmentation, targeting, and call planning. Monitor KPIs to evaluate sales team effectiveness and provide recommendations for improvement. Create MIS reports and dashboards for senior leadership and the PMT to ensure real-time visibility. Prepare IPM audit reports with competitor analysis and ensure EI for all brands exceeds 100% monthly. Provide market reflection summaries and insights on new product introductions. Automation, CRM & Data Quality Manage and optimize CRM platforms to support sales processes and improve productivity. Automate workflows such as call logging, sample tracking, and reporting. Oversee the integration of SFA tools with ERP and BI systems while maintaining data integrity. Train field sales teams on CRM system adoption and lead the optimization of SFA tools. Collaborate with vendors for UI/UX improvements to enhance user experience. Operations & People Leadership Optimize Travel Allowance (TA) and Daily Allowance (DA) submissions to drive a "0-deduction" culture. Provide insights on Continuing Medical Education (CME) expenditures to improve process efficiency. Mentor the SFE team on advanced tools like Excel, Power BI, and Power Query. Work with marketing, IT, and commercial teams to ensure data-driven decision-making. Address operational challenges through hands-on support and team guidance. Skills & Competencies Advanced Analytics: Proficiency in Power BI, Excel (Advanced), and Power Query. SFA Expertise: Mastery of Sales Force Automation platforms and CRM data integration. Leadership: Proven ability to coach teams and drive digital transformation. Analytical Depth: Expertise in KPI tracking, market trend interpretation, and root cause analysis. Qualifications & Experience Education: Bachelor's or Master s degree in Business, Data Analytics, or a related field. Experience: Minimum 15 years in Sales Operations, SFE, or MIS, ideally in pharma or FMCG. Track Record: Proven experience in automation, dashboarding, and team leadership. Success Metrics Timely delivery of accurate dashboards with actionable leadership insights. Measured increase in sales productivity via automation and data visibility. Reduced travel-related expenses and optimized CME processes. Development of a high-performing, continuously learning SFE team. Qualification : Bachelor's or Masters degree in Business, Data Analytics, or a related field

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

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

VP Global Delivery Head Location: Mumbai Experience: 20 25 Years Function: Delivery Leadership | Enterprise Software | BFSI Join VuNet Powering the Future of Digital Financial Experiences At VuNet, we're building the next frontier of Business Journey Observability a deep-tech platform that uses Big Data and AI/ML to radically transform digital experiences for banks, financial services, and enterprises. We monitor 28+ billion monthly transactions, empowering 300+ million users. VuNet is Series B funded, recognized by Gartner, Forbes, NASSCOM, and scaling fast across India, MEA, and global markets. Your Role: VP Global Delivery Head We are seeking a seasoned, high-impact leader to spearhead the global delivery of our mission-critical observability platform, with a primary focus on BFSI clients. As the Global Delivery Head, you will own the end-to-end lifecycle of customer implementations from onboarding and integration to adoption and long-term success in high-SLA, regulated, and large-scale environments. You ll lead multidisciplinary teams across delivery, engineering, SRE, support, and customer success, ensuring strategic execution, operational excellence, and measurable value for our clients. Key Responsibilities 1. Strategic Delivery Leadership Define and execute the delivery roadmap aligned with product strategy and GTM plans. Drive customer expansion through successful implementations and measurable business outcomes. Enable platform adoption at scale across complex environments like core banking, payments, hybrid cloud, and microservices. 2. End-to-End Customer Delivery Own the full delivery lifecycle onboarding, implementation, optimization, support. Lead complex integrations with Kubernetes, cloud-native stacks, enterprise systems. Ensure high-SLA go-lives, on-time rollouts, and outcome-driven execution. Travel as needed (domestic/international) to lead critical engagements and build trusted partnerships. 3. Program & Team Management Lead and mentor cross-functional teams: Implementation Engineers, TPMs, SREs, Expert Services, Support. Implement playbooks, KPIs, delivery frameworks, and standard operating procedures. Oversee resource planning, forecasting, and operational governance across accounts. 4. Executive Stakeholder Management Act as a trusted advisor to CXO-level client stakeholders CIOs, Infra Heads, SRE Leads. Present business value through dashboards, metrics, traces, and ROI models. Own delivery health reporting to internal leadership and drive continuous improvements. 5. Delivery Excellence & Process Innovation Champion observability best practices (APM, tracing, log analytics, synthetic monitoring, etc.). Institutionalize automation, monitoring, and proactive incident management. Ensure regulatory and audit compliance for BFSI and PSU deployments. What You Bring Technical Acumen Deep understanding of observability platforms (Grafana, Prometheus, Datadog, Splunk, Dynatrace, etc.). Hands-on knowledge of cloud-native, DevOps, and SRE ecosystems (Kubernetes, CI/CD, AWS/Azure/GCP). Exposure to enterprise architecture, telemetry pipelines, and platform instrumentation. Leadership & Delivery Experience 20 25+ years in enterprise software delivery; 10+ years in BFSI with direct exposure to mission-critical programs (e.g., core banking, real-time payments). Proven success in high-pressure, complex, multi-stakeholder implementations. Familiarity with PSU banks, regulated environments, audit cycles, and compliance standards. Strong grounding in Agile, ITIL, and program management best practices. Soft Skills & Presence Exceptional communication, leadership presence, and stakeholder influence. Ability to navigate executive-level conversations and drive strategic outcomes. Sharp analytical mindset with a passion for structured delivery and high performance. Success Metrics (KPIs) Time-to-onboard and customer satisfaction (NPS/CSAT). Platform uptime and telemetry coverage. SLA adherence and incident resolution TAT. Observability adoption (dashboards, alerts, integrations). Delivery team productivity and retention. At VuNet, you ll be at the forefront of a Made-in-India global tech movement. We re creating a category-defining observability platform, with a bold mission and a passionate team behind it. What You ll Experience: Ownership from Day 1: Drive critical programs, influence strategy, and shape success. Cutting-Edge Innovation: Work on AI/ML, telemetry, and next-gen enterprise software. Collaborative Culture: Work with mission-driven colleagues in a transparent and growth-focused environment. Leadership Opportunity: Build and scale global delivery for a high-impact platform. Perks & Benefits Comprehensive health insurance (including parents & dependents). Mental wellness support and 1:1 counselling access. Gen AI-enabled tech and collaboration workspaces. Career development support, training programs, and leadership coaching. High-trust, inclusive, and empowering workplace culture.

Job Title: SOC Manager Location: Mumbai Education: Graduate / Post-Graduate Experience: 14 18 years in IT Security / Information Security Certifications Required: CISSP or CISM About the Role We are seeking an experienced and dynamic SOC Manager to lead our Security Operations Center (SOC) and drive our cybersecurity defense strategy. The ideal candidate will have deep expertise in IT security, excellent leadership capabilities, and a proven track record of managing 24/7 SOC operations. In this critical role, you will be responsible for monitoring, detecting, responding to, and preventing cybersecurity threats across the organization. Key Responsibilities Leadership & Team Management: Lead, mentor, and manage the SOC team to ensure high performance and continuous development. Foster a high-performance culture, emphasizing ownership, accountability, and collaboration. Act as the primary escalation point for high-priority security incidents. SOC Operations: Oversee 24/7 security monitoring and real-time threat detection across the organization s infrastructure. Ensure smooth operations of SOC processes and consistent coverage of security monitoring tasks. Incident Management: Direct and coordinate all aspects of the incident response lifecycle identification, containment, investigation, remediation, and recovery. Ensure timely escalation and communication with executive leadership during major incidents. Security Tools & Technologies: Manage and optimize security tools and platforms including SIEM, PAM, firewalls, proxies, endpoint protection, etc. Ensure tools are properly configured and tuned for optimal threat detection and minimal false positives. Threat Intelligence & Analysis: Utilize threat intelligence feeds and platforms to proactively monitor emerging threats. Correlate threat intelligence with internal data to assess risk and recommend defensive strategies. Process Improvement & Automation: Drive continuous improvement and automation of SOC processes using SOAR and related tools. Enhance response efficiency through playbooks, automation scripts, and workflow optimization. Cross-Team Collaboration: Collaborate with IT, Application, and Network teams to ensure unified security efforts and seamless incident resolution. Act as a bridge between technical teams and business stakeholders. Reporting & Metrics: Define and report on key SOC performance metrics (KPIs) such as mean time to detect (MTTD) and mean time to respond (MTTR). Provide executive-level reporting on security incidents, trends, and the overall threat landscape. Compliance & Risk Management: Ensure SOC operations adhere to internal policies and external standards (e.g., ISO 27001, NIST, SEBI regulations). Support audits and compliance initiatives by providing evidence, reports, and expert insights. Security Posture Enhancement: Evaluate and recommend new technologies and methodologies to enhance detection and response capabilities. Contribute to the development and refinement of the organization s cybersecurity strategy. Training & Development: Lead SOC training initiatives to ensure analysts stay updated on the latest threats, tools, and best practices. Foster a learning environment with a focus on upskilling and career development. Key Skills & Competencies Leadership: Proven experience leading SOC or security teams in a fast-paced, mission-critical environment. Communication: Excellent verbal and written communication skills; ability to present to senior leadership and external stakeholders. Analytical Thinking: Strong problem-solving abilities; capable of analyzing complex security incidents and identifying root causes. Time Management: Exceptional organizational and prioritization skills; able to respond rapidly to high-impact incidents. Attention to Detail: Meticulous in investigation, documentation, and reporting. Mandatory Requirements 14 18 years of relevant experience in IT Security or Information Security CISSP or CISM certification (mandatory) Strong background in incident management, SOC tools, and regulatory compliance Hands-on experience in security monitoring, SIEM, SOAR, and threat hunting Be at the forefront of protecting a critical enterprise from evolving cyber threats Lead a talented team and shape the future of cybersecurity operations Exposure to a wide range of advanced tools and technologies Work in a culture that values innovation, accountability, and continuous learning Qualification : Graduate / Post-Graduate

Salesforce Analyst Location: Mumbai Experience: 5 to 7 Years Qualification: Graduate Employment Type: Full-time Job Description We are seeking a skilled Salesforce Analyst to act as the key interface between business stakeholders and technical teams, translating business requirements into efficient Salesforce solutions. The ideal candidate will provide ongoing support, optimize Salesforce processes, and ensure platform integrity and user adoption. Key Responsibilities Serve as the primary liaison between business users and technical teams to gather, analyze, and translate business needs into Salesforce solutions. Provide Salesforce support including troubleshooting user issues, managing profiles, roles, permissions, and resolving system incidents promptly. Analyze existing business processes, identify inefficiencies or gaps, and recommend improvements leveraging Salesforce capabilities. Partner with stakeholders to define and document user stories, acceptance criteria, and detailed process flows. Manage Salesforce platform configurations ensuring data integrity, security, and system automation through workflows, approvals, validation rules, and flows. Conduct user training sessions, create comprehensive documentation, and deliver ongoing support to maximize Salesforce adoption. Collaborate with developers and third-party vendors to coordinate system enhancements, customizations, and integrations. Perform regular system audits, manage release cycles, and ensure compliance with company governance and security policies. Monitor Salesforce performance and usage metrics, and provide actionable insights to business teams for continuous improvement. Required Skills and Qualifications Graduate degree in any discipline. 5 to 7 years of experience working with Salesforce in an analyst or support role. Strong understanding of Salesforce platform capabilities including Security, Profiles, Roles, and Permission Sets. Experience in managing Salesforce workflow automation, validation rules, approval processes, and Flows. Ability to analyze business processes and translate them into scalable Salesforce solutions. Excellent communication skills to collaborate effectively with cross-functional teams. Experience conducting user training and creating user documentation. Familiarity with Salesforce release management and compliance requirements. Proactive problem-solving skills and ability to work independently. Be part of a dynamic team driving digital transformation and business efficiency. Work in a collaborative environment with opportunities for continuous learning. Impact business processes through innovative Salesforce solutions. If you are a detail-oriented Salesforce professional who enjoys bridging business and technology, we want to hear from you! Qualification : Graduate

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.

Role: Senior Regulatory Reporting Analyst Function/Department: Finance Experience: 5-10 Years Education: Graduation: B.Com, B.Sc, BA, BBI, BMS Post-Graduation: MBA, M.Com, MA Professional Certification (Preferred): CA, CS Job Purpose: We are looking for a Senior Regulatory Reporting Analyst to manage financial analysis, regulatory reporting, and capital adequacy calculations. The role involves ensuring accurate, timely, and compliant financial reporting, maintaining the MIS system, and generating analytical reports to aid senior management in strategic decision-making. The candidate will also collaborate with various departments to optimize financial processes and regulatory adherence. Key Responsibilities: Financial & Regulatory Reporting: Prepare and review financial and regulatory reports in compliance with banking regulations. Ensure timely and accurate financial reporting to senior management and regulatory bodies. Maintain the funds transfer pricing process to assess business unit performance. Accounting & Operations: Perform month-end closing activities, including revenue and expense accounting, account reconciliations, and variance analysis. Oversee accounts payables, receivables, credit, and collections to ensure financial accuracy. Address financial inquiries and ensure compliance with accounting standards. Financial Analysis & Risk Management: Analyze key financial ratios (solvency, profitability, growth) to assess the bank's financial health. Identify process improvements in financial data collection, reporting, and automation. Undertake self-assessments to mitigate financial and regulatory risks. Technology & Process Improvement: Work closely with technology teams to enhance regulatory reporting systems. Ensure operational documentation is best-in-class and audit-ready. Stay updated with market trends, competitor strategies, and regulatory changes. Audit & Compliance: Participate in internal and external audits, ensuring adherence to regulatory guidelines. Recommend corrective actions based on audit findings and ensure regulatory compliance. Maintain up-to-date knowledge of banking regulations and industry standards. Preferred Skills & Attributes: Strong knowledge of banking regulations, financial reporting, and capital adequacy calculations. Proficiency in financial analysis, accounting principles, and risk assessment. Experience with regulatory reporting tools and financial systems. Strong analytical skills with the ability to interpret data and provide strategic insights. Excellent communication and stakeholder management skills. Opportunity to work in a high-impact role within the Finance & Regulatory Reporting domain. Exposure to regulatory compliance, financial strategy, and technology-driven process improvements. Collaborative work environment with opportunities for career growth and learning. If you have expertise in regulatory reporting, financial analysis, and compliance, we invite you to join our team and play a pivotal role in shaping our financial strategy! Qualification : Graduation: B.Com, B.Sc, BA, BBI, BMS Post-Graduation: MBA, M.Com, MA Professional Certification (Preferred): CA, CS

DevOps Engineer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4+ Years About the Role We are seeking a talented and proactive DevOps Engineer with 4+ years of experience to join our team in Mumbai. The ideal candidate will be skilled in automating, monitoring, and maintaining infrastructure and deployments to ensure continuous integration, continuous delivery, and a smooth deployment pipeline. You will work closely with development and IT teams to streamline processes and improve system reliability and scalability. Key Responsibilities Implement and manage CI/CD pipelines for faster and more reliable software releases. Automate infrastructure provisioning and configuration management using tools such as Terraform, Ansible, or Puppet. Monitor system performance and ensure high availability, scalability, and security of applications. Collaborate with development teams to design, deploy, and scale applications and systems. Manage cloud-based infrastructure (AWS, Azure, GCP) and on-premise resources. Troubleshoot and resolve infrastructure-related issues, performance bottlenecks, and failures. Ensure efficient use of resources and implement cost-saving practices. Maintain and improve deployment workflows and release management. Required Qualifications 4+ years of experience in a DevOps or Systems Engineering role. Strong knowledge of Linux/Unix systems and scripting languages (Bash, Python, etc.). Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.). Familiarity with monitoring tools like Prometheus, Grafana, Nagios, or similar. Strong understanding of version control systems (Git, GitHub, GitLab). Knowledge of networking concepts, firewalls, and security best practices. Preferred Qualifications Experience with microservices architecture and serverless frameworks. Familiarity with configuration management tools (Ansible, Chef, SaltStack). Knowledge of Agile/Scrum methodologies. Experience with database management (SQL/NoSQL) and data pipeline automation. Competitive salary and benefits package. A dynamic and collaborative work environment. Exposure to cutting-edge technologies in a fast-paced industry. Opportunities for career growth and professional development.

Company Description Orient Technologies Pvt. Ltd. is a leading IT solutions provider with over 30 years of service excellence in the Indian IT industry. We offer a comprehensive range of solutions, including Data Center, Cloud, End-User Computing, Tech Support, Data Warehousing, Business Analytics, Robotic Process Automation (RPA), and Mobility. With a diverse client base across various industries, Orient is committed to delivering innovative, high-quality services that drive business transformation. Job Description: Team Leader Business Development (BFSI Sector) We are seeking an experienced and driven team leader to head our business development team in the BFSI (Banking, Financial Services, and Insurance) sector. The ideal candidate will have over 15 years of experience in BFSI sales, with a proven track record of driving business growth and achieving revenue targets. This role involves leading a team of sales professionals, formulating sales strategies, and building strong relationships with key stakeholders in the BFSI industry. Key Responsibilities Lead, manage, and motivate a team of sales executives to meet and exceed revenue targets. Develop and implement effective sales strategies to drive business growth in the BFSI sector. Identify and pursue new business opportunities while establishing strong relationships with key decision-makers in the BFSI industry. Provide continuous guidance, training, and support to team members to help them achieve their individual and team goals. Analyze market trends and monitor competitor activities to refine sales strategies and stay competitive. Ensure the team adheres to company policies, processes, and standards of excellence. Prepare and present regular sales performance reports to senior management. Requirements Minimum of 15 years of experience in BFSI sales, with a proven track record of meeting and exceeding sales targets. Experience leading and managing a team of sales professionals. Strong understanding of the BFSI sector, including market dynamics, industry trends, and regulatory requirements. Excellent communication, negotiation, and interpersonal skills. Strong analytical and problem-solving capabilities. Proven ability to work under pressure and meet deadlines in a dynamic business environment. Demonstrated success in developing and implementing effective sales strategies. Bachelor's degree in Business Administration or a related field. Experience in IT solutions sales, specifically in the BFSI sector, is highly preferred. Orient Technologies Pvt. Ltd. offers an exciting work environment, competitive salary packages, and significant growth opportunities. If you are a results-oriented professional looking to advance your career in a leading IT solutions company, we would love to hear from you. Qualification : Bachelor's degree in Business Administration or a related field.

Company Description Orient Technologies Pvt. Ltd. is a leading IT solutions provider with over 30 years of service excellence in the Indian IT industry. We specialize in delivering innovative solutions, including data centers, cloud, end-user computing, tech support, data warehousing, business analytics, robotic process automation (RPA), and mobility. With a diverse client base across various industries, we are committed to providing high-quality services and driving business transformation for our clients. Job Description: Team Leader Business Development (Pharma Sales) We are seeking an experienced and results-oriented team leader to head our business development team for pharma sales.The ideal candidate will be responsible for driving business growth, developing and executing sales strategies, mentoring the sales team, and building long-term relationships with key customers and partners in the pharma segment. Key Responsibilities Develop and execute a sales strategy to achieve business growth targets in the Pharma segment. Build and nurture strong relationships with key customers, partners, and stakeholders in the industry. Collaborate with the marketing team to design and implement effective marketing campaigns and lead generation initiatives. Identify new business opportunities and create plans to capitalize on them. Manage and monitor the sales pipeline, ensuring timely closure of deals and meeting revenue targets. Train, mentor, and motivate team members to achieve individual and team sales targets. Provide regular sales forecasts, performance analysis, and reports to the management team. Requirements Minimum of 15 years of experience in business development, with a proven track record in pharma sales. Demonstrated success in achieving and exceeding sales targets in the pharma segment. Strong communication, negotiation, and interpersonal skills. Proven leadership and team management experience. Ability to develop and execute effective sales strategies. Experience in IT solutions sales, preferably in the pharma sector. Bachelor's or master s degree in business administration or a related field. If you are looking for an exciting opportunity to lead a high-performing business development team in a leading IT company, we encourage you to apply. We offer a competitive salary package, a collaborative work environment, and excellent growth opportunities. Qualification : Bachelor's or Master's degree in Business Administration or related field