Manager, Data Reporting & Analytics

Job Description

This manager level employee is primarily responsible for driving strategic data-informed decisions, leading data and information collection on targeted variables in an established systemic fashion, and leading data preparation for analytic efforts. This position manages the execution of creative data analytic approaches leading to actionable outcomes, manages the development, implementation, and automation of business and reporting solutions, leads data analysis interpretation, and leads the development of analytics and/or statistical models enabling informed business decisions.

Essential Responsibilities                                                    

• Pursues professional growth by soliciting and acting on performance feedback; building collaborative relationships; training and developing talent for growth opportunities; delegating tasks and decisions; fostering open dialogue amongst team members; supporting execution of performance management guidelines and expectations; ensuring team collaboration; and coaching to drive performance improvement.
• Manages day-to-day activities of designated work team or unit by overseeing the execution of tactical action items; ensuring all policies and procedures are followed; delegating tasks to meet short term deliverables; overseeing the completion of work assignments; aligning team efforts and measuring progress in achieving results; identifying and recommending improvement opportunities; and removing obstacles that impact performance.
• Drives strategic data-informed decisions by consulting with senior-level clients to identify and clarify key business needs; leading the development of outcomes and process measures; leading the translation of business requirements; determining data/information needs and data collection methods; leading the development of analysis plans; reviewing 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; ensuring end-users are supported and trained; and leading documentation of processes and deliverables.
• Leads data and information collection on targeted variables in an established systematic fashion by reviewing data sources; providing guidance regarding data collection methods and analysis; leading routine data refresh and update; leading the development and/or delivery of tools for electronic data collection; ensuring users are trained and supported; and leading documentation.
• Leads data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; recommending process improvements and system changes to enhance overall quality of the data; resolving or escalating issues to ensure remediation as appropriate; and reviewing final data set(s) for analysis.
• Manages the execution of creative data analytic approaches leading to actionable outcomes by providing guidance on data design and analysis; reviewing metrics to be analyzed; defining, calculating, and validating algorithms; reviewing results of analyses; and serving as a point of escalation and technical support for descriptive, correlational, inferential, and/or predictive analyses.
• Manages the development, implementation, and automation of business and reporting solutions by working with stakeholders to ensure their design, planning, and implementation needs are being met while ensuring consistency and coherency; reviewing results; ensuring data reports, visualizations, and/or interactive Business Intelligence (BI) reports meet established standards; reporting to stakeholders on key findings; and leading the preparation of documentation.
• Leads data analysis interpretation by reviewing findings and their application to contextual settings; reviewing insights, reports, and presentations; providing guidance and coaching to ensure a compelling story for stakeholders and to enable and influence decision making; and sharing insights with internal and/or external audiences.
• Leads the development of analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating and reviewing models leading to actionable insights; and testing, refining, and validating models.        

Minimum Qualifications                                

• Bachelor’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Minimum six (6) years progressive corporate, non-profit, or consulting experience, including Minimum three (3) years in data analytics or directly related field. Additional equivalent three (3) years work experience for a total of nine (9) years in a directly related field may be substituted for the degree requirement.
• Minimum two (2) years experience in a leadership role with or without direct reports.                                    

Additional Requirements                                                      

• Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Relational Database Management; Vendor Management; Delegation; Project Management                                         

Preferred Qualifications                                            

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

Benefits

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

M2