Manager Data Reporting and Analytics

Mgr, Data Reporting and Analytics, Human Resources

Job Summary

In addition to the responsibilities listed below, this position is responsible for managing and conducting complex analysis of data from within the Human Resources (HR) Enterprise Reporting Platform (ERP); ensuring team understands and can navigate the HR ERP; reviewing HR data used to influence workforce decisions; consulting with HR leadership to identify workforce issues; translating business issues to team and reviewing analysis approach; and analyzing and interpreting data to answer business questions about the workforce.

Essential Responsibilities

• Pursues professional growth and provides developmental opportunities for others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; training and developing talent for growth opportunities; delegating tasks and decisions; fostering open dialogue amongst team members; executing performance management guidelines and expectations; and working closely with employees to set goals and provide open feedback and coaching to drive performance improvement.
• Manages designated work unit by translating business plans into tactical action items; ensuring all policies and procedures are followed; delegating tasks to meet goals and objectives; overseeing the completion of work assignments; aligning team efforts; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; removing obstacles that impact performance; and guiding performance and developing contingency plans accordingly.
• Manages the development, implementation, and automation of business and reporting solutions by partnering with stakeholders to ensure their design, planning, and implementation needs are being met while ensuring consistency and coherency of output; reviewing and approving results; ensuring data reports, visualizations, and/or interactive Business Intelligence (BI) reports meet established standards; reporting to senior-level stakeholders on key findings; and identifying needs for the development and implementation of additional reporting solutions.
• Manages strategic data-informed decisions by consulting with senior-level clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; managing the development of outcomes and process measures; reviewing 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; collaborating with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and reviewing documentation of processes and deliverables.
• Manages data analysis interpretation by reviewing findings and their application to contextual settings; reviewing insights, reports, and presentations to ensure a compelling story for stakeholders to enable and influence decision making; and sharing insights with internal and/or external audiences.
• Manages data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; approving process improvements and recommending system changes to enhance overall quality of the data; escalating issues to ensure remediation as appropriate; and reviewing complex or high-profile data sets.
• Manages data and information collection on targeted variables in an established systematic fashion by reviewing and approving data sources; providing guidance and review regarding data collection methods and analysis; leading routine data refresh and update; reviewing the development and/or delivery of tools for electronic data collection; ensuring users are trained and supported; and auditing documentation.
• Manages the execution of creative data analytic approaches leading to actionable outcomes by reviewing data design and analysis; approving metrics to be analyzed; defining, calculating, and validating algorithms; reviewing and approving results of analyses; and providing technical support on complex analyses including inferential and/or predictive statistics.

Job Qualifications

Minimum/Basic Qualifications

• Minimum four (4) years’ experience in HR analytics and reporting.
• Minimum three (3) years’ experience in a leadership role with or without direct reports.
• Bachelor’s degree in mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum six (6) years progressive corporate, non-profit, or consulting experience, including Minimum four (4) years in data analytics.

Preferred Qualifications

• Four (4) years’ experience working with HR data in a major HR Enterprise Reporting Platform (ERP) (e.g., SAP, PeopleSoft, HCM, etc.).
• Two (2) years’ experience working with Salesforce.
• Two (2) years’ experience working with Visier.
• Two (2) years statistical modeling experience.
• Two (2) years of machine learning experience.
• Two (2) years’ experience working with Access.
• Two (2) years’ experience working with SQL.
• Two (2) years’ experience working with business intelligence tools.
• Two (2) years of text analytics experience.
• Two (2) years’ experience working with Cognos.
• One (1) year experience in transition or change management implementation.
• Two (2) years’ experience delivering presentations to management.
• Two (2) years of programming experience.
• Three (3) years’ experience working in a matrixed organization.
• Two (2) years of health care experience.
• Two (2) years data simulation experience.
• Two (2) years of deep learning experience.
• One (1) year supervisory experience.
• Two (2) years’ experience working with Excel.
• Two (2) years complex event modeling experience.
• Two (2) years’ network analysis experience.
• One (1) year experience in process improvement.
• Two (2) years of relational database experience.
• Three (3) years’ project management experience.
• Two (2) years of study design experience.
• Two (2) years’ regulatory experience.
• Two (2) years’ experience working with Open-Source Tools (e.g., R, Python).
• Two (2) years server maintenance experience.
• Two (2) years’ experience working with quality management and data profiling tools.
• 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 Business Objects.
• Two (2) years’ experience working with artificial intelligence tools.
• Two (2) years’ experience working with Tableau.
• Two (2) years’ experience working with SAS.
• Two (2) years’ experience working with data visualization tools.
• Two (2) years’ experience working with SPSS.
• Two (2) years robotic process automation experience.
• 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 Process Improvement Certification.
• Accredited Project Management Certification.