Dashboarding Jobs in Mumbai

Business Analyst Risk P&L 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 across all liquid asset classes. We are a technology- and data-driven firm that applies a scientific approach to investing. Our collaborative and innovation-focused culture enables us to address the most complex challenges and consistently deliver high-quality returns for our investors. Role Overview We are seeking a skilled Business Analyst Risk P&L to join our team in Mumbai. This role is critical for ensuring seamless coordination between Risk Managers, Trading Desks, Technology Teams, and Operations. You will be responsible for risk and P&L analysis, system enhancements, data reconciliation, and contributing to strategic initiatives. Key Responsibilities Collaborate with traders, risk managers, and stakeholders to gather, analyze, and define business requirements related to risk and P&L systems. Reconcile daily/weekly/monthly Risk and P&L figures between internal systems and external parties. Prepare detailed financial and reconciliation reports for senior management. Use tools such as SQL and Python for data extraction, transformation, analysis, and reporting. Coordinate with cross-functional teams, including IT, Operations, and external vendors, to ensure timely project delivery and system enhancements. Proactively identify process inefficiencies and recommend improvements. Act as a key point of contact for risk and P&L related queries across the organization. Required Qualifications and Experience Experience: 4 7 years in a similar Business Analyst or technical role within financial services, preferably with exposure to trading or investment environments. Technical Skills: Strong knowledge of databases (SQL) and data analysis tools. Proficiency in Python or other programming languages is highly preferred. Domain Knowledge: Solid understanding of financial markets and instruments (equities, derivatives, etc.). Familiarity with Risk Management concepts and P&L reporting. Analytical Skills: Exceptional problem-solving ability and attention to detail. Ability to interpret and reconcile complex financial data. Soft Skills: Excellent communication skills both written and verbal. Effective collaboration skills across departments and with senior stakeholders. Why Join QRT Diverse & Inclusive Culture: We are committed to equality and encourage diverse perspectives that drive better outcomes. Work-Life Balance: QRT supports employees with wellness programs and flexible work arrangements. Innovation-Focused: Be part of a high-performing team that values continuous learning, curiosity, and ingenuity. Global Impact: Contribute to sophisticated risk and trading systems that operate on a global scale.

Business Analyst Location: Mumbai / Bangalore / Kochi / Trivandrum Experience: 4+ Years About the Role We are looking for a Business Analyst with strong communication, analytical, and requirement-gathering skills to collaborate with business teams and drive impactful solutions. The ideal candidate should be proficient in requirement gathering, BRD creation, Agile methodologies, and user story development. Key Responsibilities Requirement Gathering & Analysis Work closely with business teams to understand project objectives and gather detailed requirements. Utilize techniques such as brainstorming, focus group sessions, and interviews for requirement gathering. Analyze business needs, processes, and data to identify gaps and opportunities for improvement. Documentation & Agile Practices Create and maintain Business Requirement Documents (BRDs). Develop user stories and work within an Agile environment to ensure smooth execution of projects. Work collaboratively with cross-functional teams to ensure business requirements are well understood and implemented. Communication & Stakeholder Collaboration Engage with stakeholders, development teams, and business units to ensure alignment of goals. Facilitate discussions, provide insights, and support business decision-making with data-driven analysis. Salesforce (Optional but Preferred) Knowledge of Salesforce is a plus but not mandatory. Skills & Qualifications Education: Bachelor s degree in Business, Computer Science, Information Technology, or a related field. Required Skills: Strong analytical and problem-solving skills. Experience in requirement gathering techniques (brainstorming, focus groups, etc.). Proficiency in writing BRDs (Business Requirement Documents). Understanding of Agile methodologies and the ability to create user stories. Excellent communication and collaboration skills. Preferred Skills: Salesforce knowledge (nice to have but not mandatory). Exciting Work Be part of impactful projects that drive business success. Career Growth Opportunities for professional development and upskilling. Collaborative Culture Work with dynamic and innovative teams. Competitive Compensation Attractive salary and benefits. Apply Now & Be a Part of Our Team! Join us in shaping the future of business analysis!

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

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