Sudipta Sarker Email & Phone Number

- Team Leadership: Guide and mentor junior data analysts and team members, to achieve the optimal end results.- Project Management: Oversee the execution of data analysis projects, ensuring that they align with business objectives and are completed on time and within scope.- Strategic Planning: Develop and implement data strategies that support the company’s goals, including data collection, analysis, and reporting.- Stakeholder Engagement: Work closely with senior management and key stakeholders to understand their data needs and provide strategic recommendations.- Advanced Analysis: Analyze large and complex data sets to uncover insights, trends, and patterns that drive business decisions.- Modeling & Forecasting: Develop and apply predictive models and statistical analyses to forecast trends and support strategic planning.- Dashboard Creation: Design and develop interactive dashboards and reports using tools like Tableau, Power BI, or similar platforms.- Data Visualization & Reporting: Present findings and insights to stakeholders in a clear, concise manner, using data visualizations and storytelling techniques.- Data Integrity, Quality & Governance: Ensure the accuracy and reliability of data through rigorous data quality checks and validation processes.- Compliance: Implement data governance practices to ensure compliance with data protection regulations and company policies.- Process Optimization and Improvement: Identify opportunities for process improvements and automation within data analysis workflows.- Innovation: Stay abreast of industry trends and emerging technologies to continually enhance data analysis capabilities and methodologies.- Cross-Functional Team Collaboration: Collaborate with other departments (e.g., IT, Marketing, Finance) to integrate data solutions and support cross-functional projects.- Knowledge Sharing: Share best practices and insights with team members and other departments to foster a data-driven culture.

- Requirement Gathering: Collaborate with stakeholders to identify and document business requirements, objectives, and challenges.- Analysis & Evaluation: Analyze business processes, systems, and data to identify areas for improvement and recommend solutions to enhance efficiency and effectiveness.- Solution Design: Develop and propose solutions that align with business goals and ensure the integration of technology and processes.- Documentation: Create detailed business and functional requirements documents, process maps, and user stories.- Stakeholder Management: Facilitate communication between business units and technical teams to ensure alignment and clear understanding of project goals and deliverables.- Project Support: Assist in project planning, including defining project scope, timelines, and deliverables. Support project management efforts to ensure timely and successful implementation.- Data Analysis: Interpret data and generate reports to support decision-making processes and validate the effectiveness of implemented solutions.- Continuous Improvement: Monitor and evaluate the performance of implemented solutions and recommend enhancements based on feedback and evolving business needs.

- Data Collection & Management: Gather, clean, and maintain large data sets from various sources, ensuring data integrity and accuracy.- Data Analysis: Analyze complex data sets to identify trends, patterns, and correlations that support strategic decision-making.- Reporting: Create and present detailed reports, visualizations, and dashboards to communicate insights clearly to stakeholders at all levels.- Collaboration: Work closely with cross-functional teams, including marketing, finance, and product development, to understand their data needs and provide actionable insights.- Tool Proficiency: Utilize data analysis tools and software such as Excel, SQL, Python, R, Tableau, or Power BI to perform analyses and generate reports.- Problem-Solving: Develop and implement innovative analytical methods to solve business problems and optimize performance.- Continuous Improvement: Stay updated with industry trends and best practices in data analysis and apply them to enhance our processes and tools.