Data Reporting and Analytics Consultant III, Programming

Pursues self-development and effective relationships with others

• Provides resources, information, advice, and expertise with coworkers and customers
• Influences others through technical explanations and examples
• Occasionally mentors team members
• Listens and responds to, seeks, and addresses performance feedback
• Creates plans to capitalize on strengths and develop weaknesses
• Ants to change, difficulties, and feedback

Completes work assignments

• Generates creative solutions using up-to-date expertise in subject area
• Safeguards all procedures and policies
• Leverages an understanding of data and resources to support projects or initiatives
• Collaborates cross-functionally to solve business problems
• Identifies and monitors priorities, deadlines, and expectations
• Communicates progress and information
• Identifies, recommends, and implements ways to address improvement opportunities
• Escalates issues or risks as appropriate

Supports and develops analytical and/or statistical models

• Determines data and analytical requirements
• Creates models leading to actionable insights
• Tests, refines, and validates models

Gathers data and information

• Validates data sources
• Queries, merges, and extracts data across sources
• Completes routine data refresh and update
• Develops and/or delivers tools for electronic data collection
• Provides user training, support, and documentation

Supports data analysis interpretation

• Applies findings to contextual settings under the guidance of more senior employees
• Develops reports and presentations telling a compelling story to stakeholders

Develops, implements, and automates business and reporting solutions

• Works with stakeholders in their design, planning, and implementation
• Ensures consistency and coherency
• Sumsmarizes data and results
• Creates summary statistics
• Organizes data reports, visualizations, and/or interactive Business Intelligence (BI) reports
• Identifies needs for the development and implementation of additional reporting solutions
• Prepares documentation as appropriate

Prepares data for analytic efforts

• Consolidates data
• Reviews data for quality and accuracy
• Profiles data inaccuracies
• Cleans and creates final data set(s) for analysis

Supports data-informed decisions

• Consults with clients to identify and clarify key business needs
• Develops outcomes and process measures
• Translates business requirements
• Determines data/information needs and data collection methods
• Develops analysis plans
• Makes the impact of business decisions on clients, customers, and/or members
• Supports and trains end-users
• Documents processes and deliverables

Supports the execution of creative data analytic approaches

• Identifies metrics to be analyzed
• Calculates algorithms
• Conducts analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics

Ambiguity/Uncertainty Management

• Manages ambiguity and uncertainty effectively

Attention to Detail

• Keeps attention to detail throughout tasks

Business Knowledge

• Has a strong understanding of the healthcare industry

Communication

• Communicates effectively with coworkers and customers
• Speaks clearly and concisely

Critical Thinking

• Uses critical thinking to solve problems and make decisions

Cross-Group Collaboration

• Collaborates effectively with colleagues from different departments

Decision Making

• Makes informed decisions based on data and analysis

Dependability

• Is dependable and reliable in meeting deadlines and commitments

Diversity, Equity, and Inclusion Support

• Supports diversity, equity, and inclusion initiatives

Drives Results

• Works towards achieving goals and objectives

Facilitation Skills

• Facilitates meetings and discussions

Health Care Industry

• Has knowledge and experience in the healthcare industry

Influencing Others

• Influences others through technical explanations and examples

Integrity

• Acts with integrity and honesty

Learning Agility

• Adapts to new situations and learns quickly

Organizational Savvy

• Understands organizational structures and dynamics

Problem Solving

• Solves problems and makes decisions based on data and analysis

Short- and Long-term Learning & Recall

• Can learn and recall information over short and long periods

Teamwork

• Works well with teams and groups

Topic-Specific Communication

• Communicates effectively with colleagues and customers regarding data and analytics

Data Integration

• Collaborates with stakeholders to integrate data from various sources

SAS Tools

• Uses SAS tools for data analysis and reporting

SQL/SAS

• Uses SQL and SAS for data management and analysis

Web Report Studio

• Uses Web Report Studio for creating and managing reports

Data Extraction

• Extracts data from various sources

Data Mining

• Performs data mining to extract useful information

Data Visualization Tools

• Uses data visualization tools to present data insights

Relational Database Management

• Manages relational databases

Statistical Programming Language

• Uses statistical programming languages like R or Python for data analysis

Written Communication

• Writes clear and concise reports and presentations

Minimum qualifications

• Minimum three (3) years experience programming with SAS, SQL, R or other similar analytical programming language.
• Minimum three (3) years data management experience with SAS, SQL, R or other similar analytical programming language.
• Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, 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.
• Two (2) years health or medical research experience.
• Two (2) years experience conducting statistical analysis in SAS STAT.