Data Reporting and Analytics Consultant II, Biostatistics

Key Skills

Biostatistics, Data Analytics, Data Mining, 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 knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.

• Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

• Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.

• Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

• Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

• Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.

• Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

Minimum Qualifications:

• Bachelors degree in Biostatistics, Statistics, Public Health, Data Science, or related field and 2+ years experience in biostatistics or a directly related field.

Additional Requirements:

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

Preferred Qualifications:

• One (1) year publications as an author in medical or scientific journals.
• One (1) year Medical or Health Analytics experience.
• One (1) year experience statistical consulting.
• One (1) year experience working with Access.
• One (1) year complex event modeling experience.
• One (1) year deep learning experience.
• One (1) year machine learning experience.
• One (1) year experience working with artificial intelligence tools.
• One (1) year statistical modeling experience.
• One (1) year experience working with Excel.
• One (1) year relational database experience.
• One (1) year experience working with SAS.
• One (1) year experience working with data visualization tools.
• One (1) year experience working with data extraction and manipulation language.
• One (1) year experience working with statistical analysis software.
• One (1) year programming experience.
• One (1) year experience working with Open Source Tools (e g , R, Python).
• One (1) year study design experience.
• One (1) year experience working with SQL.
• One (1) year text analytics experience.