Data Analyst III

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Job Description

This individual contributor is primarily responsible for supporting data informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position supports the execution of creative data analytic approaches leading to actionable outcomes, supports data analysis interpretation, and supports and develops analytical and/or statistical models enabling informed business decisions                                                                         

Core Responsibilities: 

  • 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

Specific Job Duties:

  • 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.
  • 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 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.
  • 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.
  • 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 endusers; and documenting processes and deliverables.”                                                                                                                       

Minimum Qualifications                                                                          

  • 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 experienceof three (3) for a total of six (6) years in a directly related field may be substituted for the degree requirement.                                                                 

Additional Requirements                                                                        

  • Targeted Skills: ·Data Extraction; Data Visualization Tools (Tableau, Power BI)                                                     

Preferred Qualifications                                                                                                                                      

  • One (1) year experience working in a matrixed organization.
  • One (1) year regulatory experience.
  • One (1) year experience delivering presentations to management.
  • One (1) year health care experience.
  • Two (2) years experience working with Business Objects.
  • Two (2) years experience working with business intelligence tools.
  • Two (2) years experience working with Open Source Tools (e g , R, Python).
  • Two (2) years experience working with Tableau.
  • Two (2) years experience working with Access.
  • Two (2) years experience working with SPSS.
  • Two (2) years experience working with Excel.
  • Two (2) years experience working with Cognos.
  • Two (2) years machine learning experience.
  • Two (2) years experience working with SAS.
  • Relational Database Management; Project Management”                                                                          
  • One (1) year Splunk experience                                                                                                           

Benefits

  •     Transportation.
  •     Life insurance.
  •     Medical insurance.
  •     Solidarity association.
  •     Growth plans.
  • Additional days off.