Pearson Apprentice, Analytics Engineer in California
Apprentice, Analytics Engineer - ( 2110128 )
We are the world’s learning company with more than 24,000 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.
At Pearson, we’re committed to a world that’s always learning and to our talented team who make it all possible. By embracing a massive digital transformation that includes highly experiential and personalized learning, we are always re-examining and continuously improving the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who are mission-driven and motivate each other to explore new frontiers in an environment that supports and inspires us to always be better.
We are looking for a hands-on, highly motivated and capable Analytics Engineer Apprentice to work in our Global Product Technology (GPT) organization to support teams working existing and next generation learning platforms. The Apprentice will work with a multi-disciplinary team of engineers, data scientists and operational leads to provide strategic information on all areas of GPT’s technology operations, product services and system reliability as well as providing insights used to monitor and track GPT’s engineering goals. Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.
Build relationships with GPT operational leadership to understand and prioritize operational reporting and analysis needs
Work with GPT engineering teams to extract data, build analysis frameworks, establish OKRs & metrics that deliver insights on GPT’s operational efficiency and system reliability
Partner with GPT engineering teams to implement QoS telemetry and measurement instrumentation to understand the operational performance of Pearson products
Identify and execute process improvements and assist with automation projects for reporting and analytics
Develop reports and visualizations for internal department use detailing operational performance of GPT products and services
Influencing technology teams through presentation of data-based recommendations that communicate the state of operational excellence and efficiency of GPT product engineering teams
The ideal candidate will be detail oriented, self-directed, self-motivated, with a strong capacity for working successfully and flexibly with members across the organization.
BSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field.
Currently participating in NC State University AI Academy Program.
Experience with quantitative analysis within a large-scale technology company with experience working with AWS financials and pricing and AWS operational and business intelligence data
Experience working with technologies and analytical platforms in AWS environments such as New Relic, Snowflake, Databricks using tools such as Tableau and SQL
Experience manipulating data using statistical analysis techniques such as time-series analysis, multiple linear/logistic regression, anomaly detection, forecasting and simulation
Note that that the role duration is Aug 2, 2021 - July 4, 2022.
Primary Location : US-NC-Durham
Other Locations : US-California
Work Locations :
US-NC-Durham-5425 Page Churchill
5425 Page Road
Job : Project/Temporary Workforce
Organization : Technology & Operations
Employee Status : Fixed Term
Job Type : Apprenticeship
Job Level : Entry Level
Shift : Day Job
Travel : No
Job Posting : Jul 15, 2021
Job Unposting : Ongoing
Schedule: : Part-time Temporary
Req ID: 2110128