Senior Data Analytics Engineer
Data Analytics Senior Engineer
At Pearson, we’re committed to a world that’s always learning and to our talented team who are continually making that dream possible. From bringing lectures to life to turning textbooks into laptops, we are constantly re-examining the way people learn. We are bold thinkers, standout innovators and motivate each other to push new frontiers and stretch the boundaries of the possible. We are always sowing the seeds of learning that one day, we hope, become the catalyst for the world’s innovations, personal and global, large and small.
Today, much of our digital frontier is delivered via the public cloud and for us to continue to succeed in this space we need ever better, accurate, and timely management information. As a result, our Technology Operations team is now recruiting for a Data Analytics Senior Engineer to help develop a global cloud data and analytics strategy, guide deployment of new reporting capabilities and enable our technical teams and executive stakeholders to make more informed decisions through greater transparency into how our cloud installations are complying with our guard rails and policies.
What you’ll be doing:
Drive discussions with stakeholders to transform requests into concrete requirements and KPIs for data visualization or tooling.
Document, organise, and track requirements.
Design and build automated data pipelines and visualisations
Prototype data extraction and transformation
Extract data from a wide variety of sources using APIs.
Create fully automated, python-based ETL pipelines.
Build prototypes of Tableau Dashboards to deliver business intelligence
Work with stakeholders and the development team to validate the prototypes
Once prototypes have been validated, construct the final version of Tableau Dashboards and maintain them.
Manipulate and link different data sets as required
Spearhead ad-hoc data analysis.
Build spreadsheet tooling using queries or VBA as per stakeholder requirement
Support a variety of project and programme driven data analysis and reporting initiatives
Pearson is an equal opportunities employer. We do not discriminate against employees or job applicants and select the best person for each job based on relevant skills and experience.
We are also committed to building an accurate picture of the make-up of the workforce and encouraging equality and diversity.
The information you provide will stay confidential, and be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
What you’ll need to succeed in this role:
Good understanding of the end-to-end components like data storage, cloud computing, interfaces and visualisation
Expert understanding and implementation of the Software Development Lifecycle
Track record in working with senior management and stakeholders,
especially with regards to transforming ambiguous problem statements into explicit, well-defined requirements and presenting back business intelligence
Python - strong existing skills if external, ability to learn if internal
Good understanding of clean code architecture.
Good understanding of Test Driven Development and ability to build automated code tests.
Proficiency working with APIs, inc. REST.
Tableau, PowerBI and other visualisation package experience (level dependent on internal v external)
Expertise in using spreadsheeting software, including Google Sheets and Microsoft Excel.
Previous experience of deploying to AWS Cloud services
Track record in working with various data storage solutions such as influx DB, Mongo DB, PostgreSQL and Amazon S3 is preferrable.
Outstanding interpersonal, verbal and written communication skills
Attention to detail and planning skills
Collaborative and flexible working style
Comfortable working in a project driven environment with shifting priorities
Primary Location: GB-GB-London
Work Locations: GB-London-80 Strand 80 Strand London WC2R 0RL
Organization: Technology & Operations
Employee Status: Regular Employee
Job Type: Standard
Shift: Day Job
Job Posting: Apr 16, 2019
Job Unposting: Ongoing
Schedule: Full-time Regular
Req ID: 1905228
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.