Data Reporting and Analytics Consultant IV / Biostatistician, Biostatistics Research

Key Skills

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

Job Description

• Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.

• Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.

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

• Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.

• Drives strategic 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.

• 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.

• 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.

• Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.

Minimum Qualifications:

• Minimum one (1) year medical or health analytics experience.
• Minimum three (3) years statistical modeling experience using SAS, R, or another advanced statistical package.
• Minimum one (1) year experience in a leadership role with or without direct reports.
• Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum five (5) 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.

Preferred Qualifications:

• Three (3) years text analytics experience.
• Three (3) years experience working with SQL.
• Three (3) years programming experience.
• Three (3) years study design experience.
• Three (3) years experience working with SAS.
• Three (3) years experience working with data visualization tools.
• Three (3) years data simulation experience.
• Three (3) years machine learning experience.
• Three (3) years experience working with data extraction and manipulation language.
• Three (3) years statistical modeling experience.
• Three (3) years experience working with statistical analysis software.
• Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.