IT Data Analytics

Morgan Advanced Materials

pune,maharastra

Job Description

About the job

About the job

It’s Time For A Change…

Your Future Evolves Here

Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans.

Are we growing? Absolutely – about 40% in year-over-year revenue growth in 2018. Are we recognized? Definitely. We have been named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019, and one of the “50 Great Places to Work” in 2017 by Washingtonian. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.

What You’ll Be Doing:

Evolent Health is looking for a Data Analyst of Health Care to be a key member of the technology leadership team. This individual will play a critical role in executing Evolent Health’s mission by managing data-driven activities related to data profiling, data discovery and analysis, requirements definition, testing and continuous improvement of data collection, mapping, analysis and transformation processes. Essential functions Analyze data files, data layouts and data dictionaries from providers of health care administrative data (eligibility, account/plan, medical claims, pharmacy claims) to understand data structure and operating rules for transforming to common data format Conduct in-depth interviews with data providers (client or payer staff) to ensure comprehensive understanding of data operating logic and data provided Author data mapping and transformation requirements based on understanding of operating rules; review with ETL developers to ensure understanding Produce detailed data quality profiles from client health care administrative data to validate structure, content and overall data quality; present findings to internal stakeholders for signoff and/or escalate critical data issues as necessary Serve as subject matter expert in primary data domain relative to client’s data and transformation rules; back up analysts in other data domains as workloads and priorities necessitate Execute test cases to validate source data has been accurately mapped, transformed and loaded to common format Collaborate with data warehouse QA team to ensure seamless execution of test cases end-to-end Alert project managers to potential risks and issues of importance Academic Qualification 5+ years of experience in information technology Bachelors Degree required SQL skills to write queries, join tables to view/test data in a relational database Understanding of Medical Claims, Rx Claims, Eligibility/Membership, healthcare insurance benefit and group account setup, Provider data and related processes around them Preferred SAS skills for querying datasets A knack for dealing with healthcare datasets and finding relationships in the data and any gaps/issues Patience and persistence to sift through complex data/information to get to the core knowledge Experience with clinical coding systems: ICD9 diagnosis codes, ICD9 procedure codes, CPT codes, revenue codes, provider NPI codes, NDC Rx codes. Knowledge of medical claim file contents (both UB04 and HCFA-1500) and significance of individual fields Experience in analyzing, defining and documenting business processes and rules Experience testing data and creating related test cases Proven track record in establishing strong relationships with internal stakeholders, clients and vendors Intense intellectual curiosity and an ability to view problems with a fresh perspective Excellent written computer and oral communication skills