Data Reporting Analyst II

Job Summary

This individual contributor is primarily responsible for working under the guidance of more senior employees to support data-informed decisions under the guidance of more senior employees, assist with data and information gathering for targeted variables in an established systematic fashion, and support data preparation for analytic efforts under the guidance of more senior employees. This position assists with the development, implementation, and automation of business and reporting solutions and assists with data analysis interpretation.

Essential Responsibilities

• Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
• Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.
• Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.
• Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
• Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

Job Qualifications

Minimum/Basic Qualifications

• Bachelor’s degree in mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years’ experience in data analytics or a directly related field.

Preferred Qualifications

• One (1) year of machine learning experience.
• One (1) year robotic process automation experience.
• One (1) year statistical modeling experience.
• One (1) year experience working with Cognos.
• One (1) years’ experience working with Business Objects.
• One (1) year experience working with artificial intelligence tools.
• One (1) year experience working with business intelligence tools.
• One (1) year experience working with Open-Source Tools (e g , R, Python).
• One (1) years’ experience working with Tableau.
• One (1) years’ experience working with Access.
• One (1) year experience working with Excel.
• One (1) year experience working with SPSS.
• One (1) year experience working with statistical analysis software.
• One (1) year working with. SAS.
• One (1) year of text analytics experience.
• One (1) year programming experience.
• One (1) year experience working with data extraction and manipulation language.
• One (1) year experience working with data visualization tools.
• One (1) year relational database experience.
• One (1) year server maintenance experience.
• One (1) year experience working with quality management and data profiling tools.
• One (1) year experience working with SQL.
• Successful completion of a company collegiate internship program.
• Accredited Process Improvement Certification.

Additional Requirements

• Data Extraction; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management