Data Analyst (Remote)

This is a great opportunity to join a long established and growing business where you will have the opportunity to develop a worthwhile career and be rewarded with good benefits and profit share.

Salary From £25k to £28.5k - depending upon experience plus profit share of around 15% per annum and an opportunity to develop a long career.

You may have some or all of the skills/requirements below, but training can be provided in areas and you will have the chance to learn skills you are not currently familiar with.

Location:(Fully Remote)

About Us

Data has the power to transform businesses, and we thrive on unlocking its full potential. We're looking for a data analyst who wants to take the next step up and join our growing team, offering a £25,000-£28,500 salary and the flexibility of a fully remote role. Specialising in a variety of sectors we offer a stimulating and diverse working environment.

The Role

As a Data Analyst, you'll be diving into projects ranging from transforming data using BigQuery SQL, creating and interpreting web analytics dashboards in Looker Studio and session replay analysis. This is a fantastic opportunity to showcase your skills in a broad range of activities within the digital marketing realm.

Key Skills and Experience

- Strong verbal and written communication skills.

- Familiarity with data visualization tools like Looker Studio or Power Bi.

- Advanced skills in Excel and PowerPoint.

- Advanced SQL skills, including complex joins, window functions, CTEs, aggregations, and performance optimization

• Strong experience working with web analytics data
• Experience building data models from scratch in SQL
• Experience defining and creating closed funnels in SQL
• Hands-on experience managing end-to-end data flows and ingesting data from external sources
• Strong understanding of data validation, reconciliation, and troubleshooting
• Proficiency with Google Cloud Platform
• Working knowledge of Python for lightweight scripting, utilities, or support tasks
• Ability to work independently and take ownership of business-critical datasets

Key Responsibilities:

• Own the flow of web analytics data from ingestion through transformation, modeling, validation, and delivery
• Ingest and integrate data from external sources, APIs, platforms, and internal systems
• Build robust SQL models from scratch to support reporting, analysis, and business decision-making
• Create and maintain closed-funnel logic in SQL for conversion, journey, and performance analysis
• Transform raw event-level and source data into clean, documented, business-ready datasets
• Manage and troubleshoot data flows across multiple systems and data dependencies
• Ensure data quality through reconciliation, validation, and issue detection
• Partner with analytics, product, marketing, and business stakeholders to translate questions into scalable data models
• Support reporting on traffic, engagement, funnel progression, and conversion performance
• Improve the reliability, maintainability, and structure of the analytics data layer

- Assist with Google Tag Manager - tag management and maintenance.

- Assisting in various tasks to support the smooth operation of the business.

- Building and maintaining analytics dashboards

- Client management and being responsive to client requests.

- Documenting processes for efficient planning and application of key services.

A Typical Day in the Job:

• Project management and client communication
• Chasing updates and agreeing deadlines with third-party suppliers.
• Providing clear and timely updates to clients on project progress, including highlighting blockers and proposed solutions.
• Updating Trello cards for project management and reporting.
• Messaging clients and suppliers on Slack for updates and client communications.
• Data analysis and tracking
• Testing tracking using Google Tag Manager and Google Analytics.
• Documenting user journeys and creating Trello cards for tracking and resolving new tasks.
• Reviewing data for accuracy, identifying missing or inconsistent information, and interrogating results.

• Reporting and dashboards
• Producing performance dashboards and reports in Looker Studio to support data visualisation for stakeholders.
• Creating reports in Excel and PowerPoint presentations where required.
• Using Looker Studio and BigQuery for KPI analysis and dashboard building.
• Extracting and analysing data with SQL, BigQuery, GA4, and Looker Studio.
• Reviewing website analytics on user behaviours, website performance, page loads and conversions.

Training and Qualifications:

Degree – preferable (Not essential)

GCSE Maths and English

BigQuery SQL for Google Analytics or BigQuery MySQL

Benefits:

- Workplace pension enrolment.

- Quarterly profit share (could be worth around 15% extra a year)

- 20 days annual holiday rising each year of service

- Provision of a laptop, screen and headphones

- Company mobile phone.

- Comprehensive training and mentoring.

Join Us

If you’re passionate about web analytics and data, and eager to contribute to a fast-growing agency, apply now to become part of our ambitious team!