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Pearson Senior Operations Analyst – Data Scientist in Chandler, Arizona

Senior Operations Analyst – Data Scientist


At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining 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 motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.


As a member of the analyst you will apply data science skills to ensure the successful delivery of various phases of POCs and solution implementations. Main responsibilities include: analysis of data sets to determine suitability for model building; identify opportunities for operational enhancements; variable creation and selection; experimentation with algorithms; performance analysis and presentation for communication with internal use. The Data Scientist creates, tests and validates hypotheses for business problems. Able to work with subject matter experts in a business areas; has some knowledge of business strategy/execution. Identifies approaches to improve the accuracy and effectiveness of analytical models. Understands and prepares data for analysis by applying knowledge of data sources and how they are gathered, stored and retrieved as well as manipulating large volumes of data. Able to effectively use key analytics tools to design, develop and apply appropriate statistical and mathematical techniques to solve business problems as well as to create repeatable, automated processes. Familiar with several data and big data tools. Creates visual presentations of analytics results and sometimes translates quantitative insights for a non-technical audience. Works with target users to deploy analytics solution.

In addition to broad and deep data and analytics skills, the data scientist has strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Incumbents also advise on and select the business problems that have the most value for the organization. Incumbents are typically not found within a functional area or tied to an individual project, but rather are experts who are able to address problems across the organization.

Uses applied analytics to enable data driven decisions by applying innovative analytic techniques, and providing exploratory research and analysis

General Responsibilities

  • Work with stakeholders to elicit, analyze, specify, document, communicate and validate business analytics requirements including operational performance metrics and KPIs.

  • Work with IT to identify, provision, and structure data from internal, transactional systems and external, third-party appended data sources to support business analytic discovery, visualization, modeling, and reporting/presentation.

  • Help improve and streamline processes regarding data flow and data quality to improve business analytics accuracy, viability and value.

  • Collaborate in the development of analytical insights and capabilities and ensure alignment of these capabilities to business intelligence strategies and roadmaps.

  • Identify, analyze, and interpret trends using statistical techniques

  • Lead design and support development of internal operational and external business partner KPI dashboards and analytical reports using visualization and reporting tools.

  • Provide support for on-going analytical performance reports that drive operational decision-making and provide ad-hoc or special reports as dictated by business needs

  • Aid in the development of best practices used in business metrics analysis.

  • Act as a liaison on business analytics initiatives between cross-functional stakeholders; draft communications and provide initiative updates

  • Support process improvement discussions with stakeholders informed by analytical insights

  • Participate in business partner-facing presentations and meetings as needed


General Qualifications

  • Bachelors of Science in Physics, Applied Math, Statistics, Engineering or related degree or equivalent experience. Graduate degree heavily preferred.

  • Up to 2 years of experience in optimization/operations research projects, either academic or industrial

  • Ability to demonstrate strong analytical and problem-solving skills with real-life datasets, and be able to abstract mathematical models from real-life problems

  • Strong coding skills in Python, R, or other scripting language with experience in delivering production-ready code

  • Fluency in SQL development

  • A solid understanding of statistics

  • Ability to prioritize and manage projects to completion without guidance

  • Strong communication skills

  • Translates data and information into clear, professional reports and analyses that offer insightful interpretation

Supervisory Responsibilities


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.

Primary Location: US-AZ-Chandler

Work Locations: US-AZ-Chandler-3075 West Ray 3075 W Ray Rd Park at San Tan Chandler 85226

Job: General Business Operations

Organization: North America

Employee Status: Regular Employee

Job Type: Standard

Shift: Day Job

Job Posting: Oct 31, 2018

Job Unposting: Ongoing

Schedule: Full-time Regular

Req ID: 1814512

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.