Stony Brook University · 20 hours ago

Business Intelligence Data Analyst

Stony Brook, NY

Full-time

Onsite

Mid Level

$95K/yr - $120K/yr

4+ years exp

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Responsibilities

Define research data scope, identify data sources, and develop workflows for data extraction, transformation and harmonization. Facilitate the integration of data from multiple source systems including data collected specifically for the research projects; Design and implement protocols/programs to identify data anomalies and trends, assess data quality (accuracy, consistency and completeness) and relevance for the research initiatives; Work closely with researchers across campus to understand their research data needs and provide guidance on available data resources, regulatory requirements and access protocols.

Generate comprehensive reports and data visualizations that effectively communicate findings to support research projects and future improvements

Collaborate with Stony Brook University (SBU) IRB and HIPAA privacy office to ensure data sharing compliance with institutional policies and state and federal regulations; Team with SBU IT to provide infrastructure support to accelerate research by resource sharing and cost reduction.

Conduct training sessions for researchers and serve as a facilitator between IT and the University research groups to ensure the best use of the available resources; Stay updated on emerging technologies in the data field and recommend as well as implement new tools and systems.

Other duties or projects as assigned as appropriate to rank and departmental mission.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data miningData acquisitionData transformationSQLPythonRData visualizationTableauPower BIElectronic Medical Record systemsPopulation Health applicationsHealthcare data privacy regulations

Required

Bachelor's degree.

Four (4) years of full-time professional experience to include two (2) years of experience in data mining, large scale data acquisition, transformation, validation and cleansing of both structured and unstructured data from various sources.

Experience working with SQL.

Python or R experience.