Healthcare Data Analyst (Remote) - Conexess Group, LLC
Morris Plains, NJ
About the Job
Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.
Conexess Group is aiding a large healthcare client in their search for a Data Analyst in a remote capacity. This is a long-term opportunity with a competitive compensation package.
Responsibilities:
#LI-Remote
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.
Conexess Group is aiding a large healthcare client in their search for a Data Analyst in a remote capacity. This is a long-term opportunity with a competitive compensation package.
Responsibilities:
- Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to gain a deep understanding of patient / clinical activity from data and investigate gaps and anomalies both within and longitudinally across patient records.
- Influence the data model to enable expedient and meaningful observational research.
- Work with Analytics team to develop algorithms for derived variables and metrics for inclusion in data product.
- Compile detailed requirements for data model development and work with Data team to implement and test the resulting data sets.
- Develop vocabularies and ontologies towards standardizing data – for granular structured data and for unstructured / free-text data with an eye on automation and scale.
- Collaborate with Data team to create detailed documentation for data product, including ERD’s and best practices for onboarding and maintenance of licensed data.
- Assist in providing RWD training, analytic guidance, and use case development and support for clients.
- Continually assess new data sources and work with internal teams to map and incorporate new data into existing model or to expand the model accordingly.
- Project management and prioritization – Advisor role will support multiple projects per Product roadmap and will work with Client Solutions, Data and Analytics teams to manage multiple initiatives and negotiate timelines/priorities with stakeholders.
- Bachelor’s degree is required - preferably in a quantitative or healthcare informatics related field
- At least 5-7 years of experience in analytics, solving complex business problems using data tools, relational databases, and analytical processes
- At least 3-5 years’ experience using SQL, programming against large relational databases leveraging linked, patient-level data at scale.
- Healthcare data expert across various data types (e.g., open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants of health, etc.) and codified healthcare data standards (e.g., NDC, ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)
- Demonstrated attention to detail, ability to compile and analyze information, ensure data integrity, and provide resolutions or recommendations for improving operational processes. Excellent communication skills.
- Desired: experience applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health.
- Experience with programming languages such as SQL, SAS, R, Python, etc.
- Strong SQL and/or Python skills are required
- Experience with data visualization tools such as Alteryx, Tableau, PowerBI desired.
- Experience with longitudinal patient data analysis is desired
- A data-driven personality w/ Intellectual curiosity and internal motivation.
#LI-Remote
Source : Conexess Group, LLC