Data Reporting & Analytics Consultant IV

Job Summary

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

• Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
• 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.

Job Qualifications

Minimum Qualifications

• Minimum one (1) year 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 five (5) years’ experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
• Critical Technical Qualifications:

1. Data Bricks
2. Informatica - Power Center (if possible)
3. Informatica - IICS
4. SQL
5. Data storytelling/visualization

Additional Requirements

• Power BI and Excel extracting, reporting
• Build Dashboards in Power BI
• Microsoft Suite
• CoPilot

Preferred Qualifications

• 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. 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 of 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 of relational database experience.
• Three (3) years of robotic process automation experience.
• Three (3) years of statistical modeling experience.
• Three (3) years of data simulation experience.
• Three (3) years of complex event modeling experience.
• Three (3) years’ network analysis experience.
• Three (3) years of deep learning experience.
• Three (3) years of machine learning experience.
• Three (3) years of 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.