Data Reporting and Analytics Consultant III, Programming - SQL, SAS

Description:
In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, and quality control support for a wide variety of projects under the supervision of more senior employees; overseeing all phases of data management, quality control, and reporting; and defining analytical variables collaboratively with other researchers and statisticians.

This position is also responsible for performing analytical tasks using appropriate analytical tools; designing and generating tracking and data entry tools as needed; designing automated reporting and data loading schemes; designing comprehensive quality checking and validation process; and designing troubleshooting software and programs.

• Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.


• 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.