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Healthcare Data Analyst (Remote)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

New Jersey (USA), United States

Offer summary

Qualifications:

Bachelor’s degree in quantitative or healthcare informatics, 5-7 years of analytics experience, 3-5 years using SQL with large databases, Expertise in various healthcare data types and standards, Strong SQL and/or Python skills required.

Key responsabilities:

Query multiple data types using SQL for insights
Influence data model for observational research
Work with Analytics team on derived metrics
Develop vocabularies for structured and unstructured data
Assist in mapping new data sources to existing models

Conexess Group Information Technology & Services SME https://www.conexess.com/

51 - 200 Employees

See more Conexess Group offers

Job description

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:

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.

Qualifications:

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.