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Workforce Optimization Data Analyst (Remote)
Company | Pearson |
Address | Springfield, IL, United States |
Employment type | FULL_TIME |
Salary | |
Category | Higher Education |
Expires | 2023-07-23 |
Posted at | 10 months ago |
We are the world’s learning company with more than 21,000 employees operating in 70 countries. We combine world-class educational content and assessment, powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people.
- Gathers operational data from various cross functional stakeholders to examine past business performance.
- Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
- Leveraging Excel to mine and analyze large datasets, draw valid inferences, and present findings to leaders across Enrollment Experience and Customer Engagement teams.
- Downloads required data and creates pre-defined reports as per defined schedule
- 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
- Processing reports across multiple internal teams
- Communicating with stakeholders to understand data content and business requirements
- Sends out reports to stakeholder group and answers basic questions pertaining to the report
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Assist with qualitative strategic projects by conducting independent research and collaborating with internal stakeholders
- Provide documentation and write business requirements to assist with the automation of reporting and data tools for quality, enrollment, & customer engagement teams.
- Organizing and transforming information into comprehensible structures
- Works with Analytics organization to ensure data quality and accuracy
- Contributes to periodic audits of data within business systems/platforms
- Works with more senior staff to reach out to client to clarify asks, debrief with client to explain data insights, and confirm report
- Supports in exploring data within one to two files to determine trends and relationships between variables
- 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
- Ability and willingness to learn new technologies and methodologies.
- Experience with Quality Assurance Platforms INVOCA for Sales, ObserveAi a plus
- 2+ years related experience in productivity & efficiency analysis
- Experience with Tableau/Power BI/Alteryx
- 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
- 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 working within CRMs specifically SalesForce
- Experience with SQL, Python, and Java Script a plus
- Bachelor's degree or equivalent in Statistics, Mathematics, Economics, Finance, & Quantitative Psychology, or Workforce Management
- Experience working with Workforce Management Software, specifically Teleopti
- Basic knowledge or interest about apps support procedures, concepts and other technical areas.
- Recommend solutions to improve performance based on analysis
- Experience with or willingness to learn qualitative analysis software (e.g., NVIVO, MXQDA, etc.)
- Strong oral, written and interpersonal communication skills, must be capable of telling a story that is based on complex data/information to others.
- Must have excellent organizational and time management skills
- Experience with contact center ecosystems, such as Nice InContact, Amazon Connect, & Lifesize
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