Data Analyst / Engineer

Datatech
Battersea, SW11 3HW, United Kingdom
7 months ago
Applications closed

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Data Analyst (Progressing to Data Engineering)

Battersea (2-3 days per week)

£40,000 - £55,000 + benefits

Job Ref: J13072

The Opportunity

This is an excellent opportunity for a detail-oriented Data Analyst looking to develop into a Data Engineering role. Working closely with the Data Lead in a small, high-impact team, you will partner with one other specialist to deliver data solutions across multiple business functions.

Success in this role requires precision, ownership, and the ability to independently manage projects while collaborating effectively within a lean team structure. You'll play a key role in ensuring data is accurate, reliable, and actionable across the organisation.

Data sits at the heart of the business, driving decisions around customer behaviour, performance tracking, and strategic direction. You will contribute to the ongoing development of a modern data warehouse while delivering high-quality reporting and insights to teams across the company. Over time, the role will expand into deeper customer analytics and segmentation initiatives.

Key Responsibilities

• Design, build, and maintain robust ETL pipelines with a strong focus on data accuracy and consistency

• Integrate and reconcile data from multiple sources to create a single, reliable view of customers and business activity

• Work closely with stakeholders across Marketing, Finance, Product, Logistics, and Customer Services to deliver precise and actionable reporting

• Develop and optimise dashboards (primarily in Looker), ensuring clarity, usability, and attention to detail in every output

• Translate business requirements into clean, scalable, and user-friendly data solutions

• Manage reporting workflows via JIRA, maintaining clear communication on priorities, timelines, and delivery

• Ensure high data quality through validation, testing, and ongoing monitoring

• Produce tailored data extracts for both internal and external use cases

• Maintain thorough documentation, including data definitions and governance standards

• Support and promote a self-serve data culture across the business

About You

• 3+ years' experience in data analytics, with a strong emphasis on accuracy and detail

• Advanced SQL skills, with experience building scalable pipelines and data models

• Experience with BI tools such as Looker (preferred), Tableau, or Power BI

• Strong Excel skills for data analysis and validation

• Comfortable working in a small team environment, partnering closely with one colleague while supporting multiple business areas

• Excellent communication skills, with the ability to clearly present data insights to non-technical stakeholders

• Experience with Python or Java is beneficial

• Strong analytical mindset with a focus on producing reliable, high-quality outputs

• Proven ability to organise, validate, and interpret complex datasets

Why Apply?

• Clear pathway from Data Analyst into Data Engineering

• High level of ownership and impact within a small, collaborative team

• Opportunity to work across diverse projects and business functions

• Be part of building a data-driven culture from the ground up

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