Data Reporting and Analytics Consultant III, Biostatistics

Key Skills

Biostatistics, Data Analytics, Data science techniques, Data Visualization, Leadership Skill, Machine learning techniques, Microsoft-Excel, Public Health, R Programming, SAS, SQL, Statistics, Tableau

Job Description

• Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

• Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

• Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

• Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

• Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.

• Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.

• Supports data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.

• Supports the execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.

Minimum Qualifications:

• Minimum one (1) year statistical modeling experience using SAS, R, or another advanced statistical package.
• Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum three (3) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Additional Requirements:

• Knowledge, Skills, and Abilities (KSAs): Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Internal or External Publication; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning

Preferred Qualifications:

• One (1) year experience delivering presentations to management.
• One (1) year health care experience.
• Two (2) years experience working with SAS.
• Two (2) years text analytics experience.
• Two (2) years experience working with SQL.
• Two (2) years statistical modeling experience.
• Two (2) years complex event modeling experience.
• Two (2) years study design experience.
• Two (2) years experience working with Access.
• Two (2) years deep learning experience.
• Two (2) years experience working with data visualization tools.
• Two (2) years experience working with data extraction and manipulation language.
• Two (2) years machine learning experience.
• Two (2) years programming experience.
• Two (2) years experience working with statistical analysis software.
• Two (2) years relational database experience.
• Two (2) years experience working with Open Source Tools (e g , R, Python).
• Two (2) years experience working with Excel.
• Two (2) years data simulation experience.