Sr Analyst - Analytics

Job Description

Core responsibilities include: Owning and executing distinct work streams within larger analytics engagement Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.) Hands on experience in data manipulation/processing skills using Python. Experience in exploratory data analysis and feature engineering Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics) Familiarity with / Exposure on cloud engineering (preferred) Ability to translate technical information to non-technical stakeholders and vice versa Strong verbal and written communications skills Actively seeks information to clarify customer needs to deliver better experience Acts promptly to ensure customer needs are fulfilled What skills do you need? Behavioral skills Exceptional communication skills across a wide range of stakeholders Ability to work cohesively in a team environment while balancing multiple priorities. High level of attention to detail, resilience, enthusiasm, energy and drive Positive, can-do attitude focused on continuous improvement Ability to take feedback and constructive criticism to drive improved delivery Rigorous ability to solve complex analytical problems, optimize environments and communication with stakeholders Good time management, co-ordination and communication skills Strong problem-solving Technical Skills A deep understanding of the technical tools used in analytical domain is required as the bases for development of analytical products, as such the following core understandings are required: Strong experience is writing code in SQL, python/PySpark Advanced excel in the context of data exploration and manipulation. Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc. (preferred) Understanding of large data and exceptional data sense is mandatory Any knowledge of data or patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required. Prior experience with clients is preferred Healthcare background is preferred. Qualifications Bachelors degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field. MBA graduate from a Tier-1 institute or a masters degree in relevant field Minimum 2 years of experience in data and analytics and stakeholder management. Additional key skills we are looking at Stakeholder Management, Client Communication, Team Management, Project Management, Problem Solving, Python, SQL, Storytelling, Presentation Skills