You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible.
Gain a deep understanding of the Looker BI Suite and Big Query, as well as surrounding GCP concepts such as IAM roles, Logging and Monitoring.
Understand customer business requirements and advise the best way to fulfil these with the data and tools available.
Investigate data necessary to achieve desired business outcomes.
Concisely and thoroughly document processes relating to customer data requirements.
Provide training and pair-programming sessions for clients to upskill them in using Looker and associated GCP services.
Develop internal tooling, and improve processes, for the wider data analytics team and CTS business.
As part of your continuing professional development, gain relevant certifications and skills badges as required by the role.

Significant professional experience working in a Data Analytics role
Professional experience working with Looker Enterprise
Strong data processing experience and understanding of developing against common database technologies (such as MS SQL, PostgreSQL, MySQL, etc)
Comprehensive problem-solving skills and proven ability to apply creative and innovative thinking, identify and support the resolution of data quality and integrity issues
Understanding of developing visualisations and reports using BI solutions (such as Looker, Google Data Studio, Tableau, PowerBI, etc)
Confident in presenting findings in an effective, structured and actionable way to a wide set of audiences with varying levels of understanding
Excellent planning, prioritisation, organisational and time management skills, being able to work both as part of a team and independently
Ability to meet regular and ad hoc deadlines, working under project plans and deadlines
Exposure to data modelling / data science methodologies is a bonus.
Prior experience working in a customer-facing role.
Experience working in an Agile team, understanding of project management methods, disciplines and project lifecycles.

Competitive base salary.
Matching pension scheme (up to 5%) from day one.
Discretionary company bonus scheme.
4 x annual salary Death in Service coverage from day one.
Employee referral scheme.
Tech Scheme.
Private medical insurance from day one.
Optical and dental cash back scheme.
Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
EAP service.
Cycle to Work scheme.
36 days annual leave (inclusive of bank holidays).
An extra paid day off for your birthday.
Ten paid learning days per year.
Flexible working hours.
Market-leading parental leave.
Sabbatical leave (after five years).
Work from anywhere (up to 3 weeks per year).
Industry-recognised training and certifications.
Bonusly employee recognition and rewards platform.
Clear opportunities for career development.
Length of Service Awards.
Regular company events.

Data Analyst

Key skills