Senior Business Analyst/Lead

As a seasoned Senior Business Analyst/Lead, your role involves excelling in client handling, innovative problem-solving, and delivering measurable business impact. Your strong understanding of business logic will enable you to work collaboratively with stakeholders, with prior experience in the Gaming industry considered a significant plus. Key Responsibilities: - Client Management: Handle client interactions, manage delivery expectations, and ensure effective communication with all stakeholders. - Problem Solving: Identify complex, ambiguous problems, break them down into manageable parts, and implement creative, data-driven solutions. - Metric Tracking: Define, track, and improve key business metrics, and communicate business trends to stakeholders. - Data Modelling: Create reporting infrastructure and dashboards for business process management and data mining. - Collaboration: Work closely with business and product teams to enable data-driven decision-making. - Quantitative Analysis: Execute quantitative analysis to translate data into actionable insights. - Innovation: Drive the team to adopt innovative solutions to business problems and explore new opportunities based on internal and external data. - ML Model Building: Assist in developing machine learning models to solve business challenges. Requirements: - Experience: 4+ years in a relevant role. - Problem-Solving Skills: Ability to break down problems into components that can be collaboratively solved. - Business Understanding: Strong business acumen and the ability to negotiate the scope of problems. - Persistence: A passion for working with data to derive insights and drive business success. - Data Analysis: Experience in analyzing large, complex, multi-dimensional data sets. - Innovative Thinking: Ability to find creative solutions to mitigate dependencies and risks for deliverables. - Delivery Management: Capability to independently plan and execute deliveries. - Communication Skills: Exceptional written and verbal communication skills. - Multitasking: Ability to handle diverse requirements and multitask effectively. Technical Skills: - Proficiency in SQL, Excel, and Python is a must. - Statistical Modelling: Strong background in statistical modelling and experience with statistical tools. - BI Tools: Experience with BI tools (Power BI, Tableau, Datastudio, etc.) is a plus. You will be a valuable asset to the team by leveraging your expertise and skills to drive business success and foster innovation.,