Sr. Data Analyst We are seeking for a Sr. data analyst to join our growing data science & engineering team. The Sr. Data Analyst should have a strong background in statistics and hands-on experience working with SQL, Python, R, and Excel. Must be skilled in crafting and presenting compelling analytical narratives from client data and must have exceptional communication skills. If you&aposre someone who thrives on digging into data, uncovering hidden insights, and enjoys working with event-based datasets, this is the role for you. Core Responsibilities: Collaborate with enterprise clients to solicit and understand their analytical needs and identify opportunities to use analytics to improve their business. Design and implement analytical solutions to demonstrate the capabilities of data analytics. Create visualizations and data stories to narrate to clients the potential value of data analytics. Provide standard training and guidance to clients to ramp-up their data analytics team. Provide basic documentation to the client in relation to data analytics initiatives as needed. Work with department heads, project managers, management and key stakeholders in developing and prioritizing business and information needs Develops clear and well-structured analytical plans and analyzes large data sets Develops logical and conceptual data flows that are in support of departmental project requirements Provides guidance and mentorship to junior and mid-level Data Analysts. Desired Skills and Experience: Bachelor's degree in Computer Science, Information Technology, Math, Statistics, Economics or any related degree. With at least 5 years experience in the field with strong data and computational focus. Intellectual curiosity with willingness and desire to learn a new environment and tools to advance your own knowledge and our product. Technically savvy with experience in a range of the following: Programming Languages: SQL, Python, R, Java (Bonus: Scala) Cloud Data Platforms: Snowflake (Preferable), Databricks Statistical Tools: SPSS, SAS, Matlab Machine Learning Tools: Pandas, NumPy, SciPy (Bonus: Knime, RapidMiner) Notebooks and Visualization Tools: Streamlit (Preferable), Jupyter, Spark, Tableau, PowerBI Willingness and desire to learn new cloud-based data platforms. Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition, and outlier detection algorithms, and predictive modeling methods. Expertise in text mining, NLP methods, information extraction and/or machine learning. Strong communication (verbal /written) and listening skills who can present complex information in a clear and compelling manner. Strong problem solving and organizational skills to manage software deployments and operation management. Can work with a team and is confident to work independently with minimum supervision. Intellectual curiosity with willingness and desire to learn a new environment and tools to advance your own knowledge. Comfortable in a very fast-paced environment with a strong bias towards action to achieve results. High growth companies and/or start-up experience is a plus. Familiarity with video analytics or similar domains is a plus. Show more Show less