Data Reporting &  Analytics Consultant IV

Job Description

This individual contributor is primarily responsible for driving strategic data informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions.

Essential Responsibilities                                                    

• 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                                

• Bachelor’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience of three (3) years for a total of eight (8) years in a directly related field may be substituted for the degree requirement.
• Minimum two (2) years experiene in the following areas:
• SQL
• Power BI
• Alteryx
• Tableau
• Excel
• MS Flow, power apps
• Minimum one (1) year experience in a lead role with or without direct reports.                                                  

Additional Requirements                                                      

• Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management; Client Engagement

Preferred Qualifications                                            

• Contact/ Call center data operations experience
• Experience with Genesys/Telephony applications
• Experience with Verizon/IVR
• Databricks
• MS Fabrics
• Github
• TOAD/ DB Visualizer
• Two (2) years project management experience.
• Two (2) years experience in process improvement.
• Three (3) years experience working with statistical analysis software.
• Three (3) years programming experience.
• One (1) year experience in transition or change management implementation.
• Two (2) years experience working in a matrixed organization.
• Two (2) years experience delivering presentations to management.
• One (1) year health care experience.
• Three (3) years experience working with data extraction and manipulation language.
• One (1) year regulatory experience.
• Three (3) years experience working with artificial intelligence tools.
• Three (3) years study design experience.
• Three (3) years relational database experience.
• Three (3) years robotic process automation experience.
• Three (3) years statistical modeling experience.
• Three (3) years data simulation experience.
• Three (3) years complex event modeling experience.
• Three (3) years network analysis experience.
• Three (3) years deep learning experience.
• Three (3) years machine learning experience.
• Three (3) years text analytics experience.
• Three (3) years experience working with Business Objects.
• Three (3) years experience working with data visualization tools.
• Three (3) years experience working with business intelligence tools.
• Three (3) years experience working with Open Source Tools (e g , R, Python).
• Three (3) years experience working with Tableau.
• Three (3) years experience working with Access.
• Three (3) years experience working with Excel.
• Three (3) years experience working with SPSS.
• Three (3) years experience working with SAS.
• Three (3) years experience working with SQL.
• Three (3) years server maintenance experience.
• Three (3) years experience working with Cognos.
• Three (3) years experience working with quality management and data profiling tools.
• Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Master’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Accredited Project Management Certification.
• Accredited Process Improvement Certification.                                                                                                 

Benefits

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

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