Data and Analytics Specialist

Data & Analytics Specialist

Location: Hull / Hybrid

£23000-£25200 pa DOE plus Flexible Working, *Every other Friday off and Benefits

Are you a critical thinker and problem solver?  We have an exciting opportunity for a Data & Analytics Specialist to join us on a hybrid basis, with 2 days per week in our fantastic office, which is located near the beautiful Fruit Market and Marina area of Hull.

We offer flexible start and finish times as well as having every other Friday off*. We trust our people to work flexibly around their lifestyle and family arrangements. For the right candidate, we may also consider greater flexibility around office time.

What will you be doing?

As a Data & Analytics Specialist at Summit, you will be responsible for creating dashboards to visualise our client's performance to support other Summiteers in measuring the success of campaigns across multiple performance marketing channels. 

You’ll be part of a team responsible for delivering accurate, timely and robust data solutions across the business, communicating complex data into a cohesive and easily digestible story, supporting award winning technologies, and upskilling team members on data visualisation tools and techniques.

Requirements

#What will you be doing?

As a Data & Analytics Specialist at Summit, you will be responsible for creating dashboards to visualise our client's performance to support other Summiteers in measuring the success of campaigns across multiple performance marketing channels. 

You’ll be part of a team responsible for delivering accurate, timely and robust data solutions across the business, communicating complex data into a cohesive and easily digestible story, supporting award winning technologies, and upskilling team members on data visualisation tools and techniques.

What are we looking for?

Drive, determination, and self-discipline are vital to being effective in this role. You will be a critical thinker with a creative mindset for problem-solving and a methodical approach to implementing solutions, all while maintaining a keen eye for detail.

Other requirements of this role are:

• An advanced understanding of Excel, with the ability to carry out complex tasks, manipulate data, develop templates, troubleshoot and support in training of others;

• Confidence using Looker Studio or knowledge of other data visualisation tools such as Power BI and Tableau;

• Comfortable using reports and explorations within GA4, and an understanding of UTM parameters and Attribution;

• An awareness of how to use tools such as the GA4 Query Explorer;

• Experienced and confident using reports and exploring data, along with the ability to confidently communicate complex data stories to various stakeholders across the business (both internally and externally);

• Ability to visualise and present data with clarity and accuracy;

• A basic awareness of data aggregators – training and support can be offered to develop this skill further;

• Capacity for project management, with a basic understanding of how to plan and execute projects while adhering to a range of timescales and needs from different stakeholders;

What can we offer you?

On offer is a salary of £23000-£25200 per annum depending on experience as well as a range of benefits including flexible start and finish times, up to 29 days' holiday per year (plus bank holidays), milestone days off, Bupa health cash plan, life assurance and Annual Bonus Scheme.

Additional keywords: data, analyst, digital, specialist, API, UTM, Attribution, looker studio,

We are an equal opportunities employer, and we welcome applications from all suitably qualified persons regardless of their sex; religious or similar philosophical belief; race; age; sexual orientation; or disabilities.

If you require any reasonable adjustments such as access or information in an alternative format, please inform us soon as you are able so that we can make the appropriate adjustments.

Please note, in line with GDPR, your details will only be retained for a period of 12 months from application date and then deleted, unless advised otherwise.