Data Analyst; Remote

Position: 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 Big Query 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…