Pearson Workforce Optimization Data Analyst in Harrisburg, Pennsylvania
Purpose of the position
The Workforce Optimization Data Analyst role within Enrollment Solutions and Effectiveness directly supports the Enrollment & Customer Engagement function, located within Pearson Virtual Schools division, in which you will focus on producing and maintaining both ad-hoc analysis and the day-to-day reporting. This includes collaborating with internal partners to mine and analyze quantitative and qualitative workforce and operational data to generate reports and reveal insights that lead to great operational decisions.
No Immigration Sponsorship available for this role.
Core tasks and responsibilities
Supports in exploring data within one to two files to determine trends and relationships between variables
Assist with qualitative strategic projects by conducting independent research and collaborating with internal stakeholders
Leveraging Excel to mine and analyze large datasets, draw valid inferences, and present findings to leaders across Enrollment Experience and Customer Engagement teams.
Organizing and transforming information into comprehensible structures
Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
Determine how critical data and KPIs are addressed in new systems or feature development and build analytics requirements into core systems to ensure comprehensive metrics are supported
Gathers operational data from various cross functional stakeholders to examine past business performance.
Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
Creates basic to sophisticated ad hoc report requests: Uses insights from data exploration to prepare basic visualizations and PowerPoint reports for clients requesting the data
Provide documentation and write business requirements to assist with the automation of reporting and data tools for quality, enrollment, & customer engagement teams.
Processing reports across multiple internal teams
Communicating with stakeholders to understand data content and business requirements
Works with more senior staff to reach out to client to clarify asks, debrief with client to explain data insights, and confirm report
Contributes to periodic audits of data within business systems/platforms
Works with Analytics organization to ensure data quality and accuracy
Downloads required data and creates pre-defined reports as per defined schedule
Sends out reports to stakeholder group and answers basic questions pertaining to the report
Bachelor's degree or equivalent in Statistics, Mathematics, Economics, Finance, & Quantitative Psychology, or Workforce Management
2+ years related experience in productivity & efficiency analysis
Industry experience preferred: Healthcare, Finance, Education, Retail, and/or Call Center
Must have expert knowledge in MS Office suite – specifically within Excel with Macros and advance formulas
Experience with Tableau/Power BI/Alteryx
Experience with SQL, Python, and Java Script a plus
Experience with or willingness to learn qualitative analysis software (e.g., NVIVO)
Experience working with disparate data sets, data mining, data/text visualization tools, and creation of dashboards
Experience working within CRMs specifically SalesForce
Experience working with Workforce Management Software, specifically Teleopti
Experience with contact center ecosystems, such as Nice InContact, Amazon Connect, & Lifesize
Experience with Quality Assurance Platforms INVOCA for Sales, ObserveAi a plus
Experience with or willingness to learn qualitative analysis software (e.g., NVIVO, MXQDA, etc.)
Basic knowledge or interest about apps support procedures, concepts and other technical areas.
Strong oral, written and interpersonal communication skills, must be capable of telling a story that is based on complex data/information to others.
Recommend solutions to improve performance based on analysis
Must have excellent organizational and time management skills
Ability and willingness to learn new technologies and methodologies.
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here: http://www.pearson.com/careers/diversity-and-inclusion.html
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.
Organization: Virtual Learning
Req ID: 8479