Junior Data Analyst
Wallingford, UK - Hybrid
Group GTI
Supporting students with self-discovery, career guidance, skills and finding roles. Helping employers reach and hire. Enabling universities to deliver world-class services.Department: Tech
Employment Type: Permanent - Full Time
Location: Wallingford, UK - Hybrid
Description
Working within the growing GTI Data Team, you will help design, build, and maintain the data infrastructure that drives insight and action across the business. You'll collaborate with stakeholders to define data requirements and deliver solutions, with a focus on supporting our universities team.You'll enhance our existing data services, helping shift from reactive to proactive and predictive insights. This is a unique chance to shape a modern data platform from the ground up while supporting day-to-day reporting and operations.
Outcomes
Deliver Scalable and Insightful Data Solutions:- Build and maintain reliable and efficient data pipelines using modern data engineering tools and practices.
- Develop scalable solutions for cross-platform tracking and customer behaviour analytics.
- Collaborate with senior engineers on projects such as building a data warehouse, data lake, or unified analytics layer.
- Work with relational and non-relational databases to ensure data integrity and performance.
- Participate in discussions around data architecture, storage strategies, and security.
- Create foundational datasets and models that improve visibility into KPIs across teams.
- Enable proactive identification of unusual customer performance and drive early interventions.
- Assist client-facing teams by automating and scaling the production of regular performance reports.
- Conduct ad-hoc data investigations to answer business questions quickly and accurately.
- Translate business requirements into technical specifications for data solutions.
Person Specification
This role is ideal for someone early in their data engineering journey, with a passion for data infrastructure, cloud technologies, and cross-functional collaboration. You’ll thrive here if you enjoy building data solutions, learning new technologies, and working closely with business stakeholders to translate real-world problems into scalable systems. At GTI, we foster an action-oriented culture that values curiosity, ownership, and enabling each other to deliver excellence.- Curious and enthusiastic about data engineering, cloud technologies, and modern data platforms.
- Excellent communicator, comfortable mediating between business, Tech, and Product teams.
- Friendly and confident; able to work with colleagues from a wide range of data literacy levels.
- Self-motivated and proactive, but collaborative and excited to work in a team environment.
This role bridges foundational engineering skills with strong business understanding. While we don’t expect mastery, you should bring a willingness to learn, a structured problem-solving mindset, and a foundation in data systems.
Essential
- Proficiency in SQL and a strong understanding of relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Basic understanding of data modelling and ETL/ELT concepts.
- Familiarity with cloud-based data services or eagerness to learn (especially on AWS).
- Interest in developing pipelines, data warehouse solutions, and scalable analytics infrastructure.
- Experience or coursework in one programming language (preferably Python).
- Solid grasp of data quality, version control (e.g., Git), and reproducibility principles.
- Exposure to AWS data services relevant to data engineering, such as:
- Amazon Redshift (data warehousing),
- Kinesis (real-time data streaming),
- SageMaker (model training and deployment),
- S3 and Glue (data storage and ETL).
- Familiarity with business intelligence tools like Power BI, Looker, or Google Data Studio.
- Experience with web analytics platforms (e.g., Google Analytics).
- Basic understanding of event-driven architecture and tools like Kafka.
Other Information
- Permanent role – 37.5 hours per week. Monday to Friday 9am-5:30pm.
- 3-month probationary period.
If you would like to speak to a member of our team to find out more information about this vacancy or you have any questions, please get in touch - recruitment@groupgti.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Business Intelligence Data pipelines Data quality Data Studio Data warehouse Data Warehousing ELT Engineering ETL Git Kafka Kinesis KPIs Looker Model training MySQL Pipelines PostgreSQL Power BI Python RDBMS Redshift SageMaker Security SQL Streaming
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