Sr. Data Analyst Role -Delhi

Job Description

Dear Candidate,Greetings of the day!We are Hiring forSr. Data Analyst RoleWe are looking for Sr Consultant,Tech who will be responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to stakeholders. In this role, prefer to have a background in data and business analysis related to payor-provider healthcareecosystem, HIS, Electronic Medical Report (EMR, Claims management, Revenue cycle management.Good knowledge on FHIR, ICDs and other coding standards (ICD10, CPT, LOINC, HCPCS, SNOMED). You should be analytical and an excellent communicator. If you also have a business acumen and problem-solving aptitude, wed like to meet you. The person will engage with business leaders and users to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value. They must articulate those ideas but also balance them against whats technologically feasible and financially and functionally reasonable. Depending on the role, you might work with data sets to improve products, services or process. Duties and Responsibilities - Develop & support the designing and building multi - tenanted modern data warehouses, predictive and prescriptive analytics, and visualization platform. Understands technical, business, and organizational requirements of a modern data warehouse and business intelligence platform. Proven experience architecting scalable, performance - oriented solutions using emerging Big Data technologies and traditional ETL tools. Leads and owns evaluation and selection of technology products to meet strategic business intelligence data management objectives. Lead discussions with stakeholders on software requirements and design aspects related to key technical components,frameworks, interfaces etc. Mentor / coach junior developers and leads in the team(s) during design review, implementation and use of best practices and guidelines. Building E2E ML pipelines: Data prep, Model Build, training models, Deployment for AI/ML.Basic Qualifications: Graduate/P.G in Computer Science, Engineering or relevant field with 10+ yrs of exp, preferred in Healthcare domain. At least 5+ years of experience in developing solutions using Big Data technologies. Hands on experience on the Hadoop distribution along with Kafka, Spark, Impala, Pig, Hive, Sqoop, Oozie etc. & RDBMS & Nosql DB. Good understanding of relational DBs (MySQL / Oracle), Columnar DBs, ETL / ELT tools (Informatica Power Center / Scoop/Spark). Understanding of both Data Engineering and Data Science aspects. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Developing ML algorithms to analyze huge volumes of historical data to make predictions. proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.Good knowledge of mathematics, statistics, and algorithms. Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring, and Optimization. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Strong knowledge of Unix/Linux, shell scripting. Must exhibit a high degree of motivation, creativity, and initiative Excellent analytical and problem-solving skills. Strong desire to drive continuous improvement. Work as Individual contributor with hands on experience to contribute as a Technology & Domain SME.Regards,HR Team

Keyskills :
linuxscriptingoracleclaims managementmysqlemrmedical report