Junior Data Analyst

Eseye Guildford United Kingdom Development & QA

Company Description

IoT technology is transforming our world – Eseye empowers businesses to embrace IoT without limits. We deliver innovative IoT cellular connectivity solutions that help our customers drive business value, deploy differentiated experiences, and disrupt their markets. Supported by a powerful partner ecosystem, we seamlessly connect devices across 190 countries, agnostic to over 700 available global networks. We do this by using disruptive technologies and services aimed at reducing the complexity around cellular connection management, providing ubiquitous connectivity services from device to cloud.

Position

Eseye is looking for a Junior Data Analyst role who possesses good data analysis and analytical skills, good attention to detail, and a methodical and process-led approach to their work.

The Junior Data Analyst works as part of teams and individually, to develop, test, and maintain data-driven solutions to business challenges, leveraging AWS and other applications for analytics, BI, ETL, formatting, transformations, and other data-oriented solutions.

Reporting to Business the Head of Engineering, the candidate will work collaboratively with Engineering teams to support the delivery of effective and valuable projects in the organisation.

Key responsibilities:

Managing the investigation of corporate data requirements, documenting them according to the required standards utilising the prescribed methods and tools to provide insight, Implementing data flows to connect operational systems, data for analytics and BI systems.
Ensuring that those using data structures and associated components have a good understanding and that any queries are dealt with promptly and efficiently.

Requirements

Key Requirements:

Strong attention to detail
Goal and Objective focused
Capable of working on own initiative and as part of a team
Strong Analytical skills
Experience working in Agile environments/teams using SCRUM framework
Willing to take on, drive, and complete projects and tasks relating to Data transformation, Data Warehouse, BI, MI, AI, and Machine Learning
Willing to take and pass AWS certifications as necessary to the role
Strong SQL, T-SQL and query writing skills to intermediate level
Understanding of ETL and Data transformations
Experience in using GIT & Jira tools
Experience in, or understanding of Data Warehouse, Data Lakes

Other information

Company Benefits

Competitive salary and career progression
Corporate bonus scheme available to all employees
Company pension scheme with 5% employer contribution
Life insurance
Income protection
25 days annual leave, flexible hours, and regular social events
Modern office environment in the Surrey Research Park, with free parking
Unlimited free Costa Coffee and a new on-site cafe at the research park

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