We are looking for a Business analyst for our team. The person would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. RESPONSIBILITIES: Model data in order to create reporting infrastructure/dashboards for business process management and data mining Closely work with the business/product teams to enable data driven decision making. Execute quantitative analysis that translates data into actionable insights Drive data driven decision making through the stakeholders Influence new opportunities for business based on internal/ external data Translate and analyze inefficiencies in current business process, research solution alternatives, and drive the team to adopt new and innovative ways of solving business problems WHAT TO BRING: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from top tier college. Min 1-4 Years of experience in relevant role Experience in Analytics tools such as Mixpanel, Google analytics, Clevertap etc. Experience in analysing very large, complex, multi-dimensional data sets Data Driven thinking, Sharp aptitude and excellent numerical acumen; ability to sift through large volumes of data. Problem-solving is an important form of critical thinking. Ability to understand the problem from all the perspectives (i.e. business, technical and end-user), analyze the available options and constraints and then, recommend possible solutions Self-starter with ability to work in a fast-paced environment Ability to multitask and work on a diverse range of requirement Knowledge of statistical tools and techniques. Advanced Excel proficiency including Pivot tables, vlookup / hlookup, graphs etc. Proficiency in data visualization and presentation; (Power BI, Tableau, Qlikview, Datastudio, etc) Preferred Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) and with experience in manipulating large data sets in a database.
