Full Time. Permanent.

Hybrid working contract (1 day in the office required)

About us 🗯️

SaleCycle powers campaigns for some of the world’s most recognisable brands. We help 500+ enterprise-level clients worldwide to optimize their online conversions, through traffic retention and abandoned sales recovery.

You’ll find our HQ in the North East of England which was founded in 2010, but since then we’ve been on a very exciting growth journey and we also have employees in France and Asia.

We use the latest tech and innovation to shape our products and deliver results. All of which wouldn’t be possible without our people - that’s why they’re at the heart of everything we do.

Our Values ✨

At SaleCycle, we care about people, it really is our top priority. We care about well-being but we also do our best to make sure everyone can grow within the organisation, as we refuse the status quo as a team and as a company.

• Continuous Innovation: Collaborate, innovate, celebrate
• Premium Execution: Excellence delivered, every time
• High Curiosity: Explore, Discover, Create: Embrace your inner child- ask why and listen
• Proactive Collaboration: United, we work together and lead the way
• Ultimate Passion: Infuse ultimate passion into every action

The Data Intelligence Team at SaleCycle….

You'll join the Data Intelligence Team, part of the broader Technology function at SaleCycle, and be a key contributor to the design, delivery, continual assessment and improvement of customer-focused data products. The team is small so the daily work will be varied, but as we value collaboration, expect lots of interactions with our colleagues in Operations, Engineering and Product, along with colleagues from the wider business.

You will be contributing to, and helping to shape our approach to using data, i.e., discovering actionable insights for SaleCycle for our growing base of blue-chip clients enabled by building out a modern data stack. Our stack currently includes technologies such as Looker, Snowflake, DBT, Cyclr, SageMaker and SQL Server.

As a keen problem solver with a strong sense of curiosity, you'll love to dig through the data to find trends and patterns and enjoy discussing your findings' impact with stakeholders. You'll also get great satisfaction from empowering stakeholders to make decisions from the data experiences you provide to them through Looker and the products you help build.

As an Analytics Developer you will…

• Work in cross-functional teams to collaborate on delivering products through implementing analytics tools and dashboards that help drive our strategic product strategy and satisfy the needs of our clients.

• Extend our Looker implementation to provide stakeholders with access to data that they can trust by creating user-centric explores and dashboards.

• Implement data pipelines by using DBT and improve the availability, accuracy, completeness, and timeliness of data.

• Identify opportunities to improve efficiency, scalability and performance across the data stack as we scale our implementation.

• Gather and understand requirements from internal stakeholders and translate them into actionable insights, models, and reports.

• Interrogate the performance of our products by meticulously investigating the data to identify growth opportunities and identify issues before they become problems.

• Support, mentor, and provide feedback to your teammates by sharing best practices and staying abreast of the latest technologies and techniques.

Requirements for the role…

• A minimum of 2 years professional experience in a Data Analytics role, coupled with a degree, ideally in a mathematical or computer/data science related subject is highly preferred.

• Extensive knowledge of the Looker platform or other visualisation tools, including areas such as modelling, performance tuning, dashboarding, liquid, testing, and advanced techniques.

• Experience of creating customer focused explores that enable self-service analytics, and creating dashboards that can tell a meaningful story.

• Experience of using modern Data Warehouses, such as Snowflake, with an awareness of performance tuning capabilities.

• Experience of using DBT for Data Transformations, with an awareness of orchestration mechanisms, e.g. DBT Cloud, Airflow.

• A well rounded data professional with some experience across a range of data disciplines, such as Data Analytics, Data Engineering, Data Science etc.

Desirable Experience and Qualifications…

• Exposure to third party Data Ingestion / Integration tools, e.g. Cyclr, Fivetran

• Knowledge of Data Vault modelling concepts or related modelling techniques.

• Knowledge of Data Science techniques, e.g. segmentation.

• Able to efficiently manipulate semi-structured data through strong SQL.

• Has already delivered, or is in the process of delivering, a substantial business transformation involving the creation of a robust and modern data stack on which data products are delivered.

Personal Skills and Attributes…

• Rigorous with data analysis, always persevering to ask questions to uncover greater depth of insights.

• Enthusiastic about uncovering opportunities of using data to drive revenue and improve decision making.

• Self-motivated, attentive to detail, keen eye for quality.

• Commercial mindset.

• Lifelong learner.

What We Offer…

We value our employees here at SaleCycle, so in addition to salary (dependent on experience), we offer great benefits and incentives to our employees which include:

• Flexible hybrid working

• Generous annual leave plus your birthday off

• Pension Scheme

• EAP including 24/7 GP access

• Tech & cycle to work schemes

• Team events and individual social fund

• Bonus schemes for innovation, new business, and employee referrals

• Supporting your learning and development, e.g. professional qualifications

And more… to check out all of our benefits, please visit our careers page.

Interested? Apply now! We would love to hear from you!

The recruitment process will involve an initial telephone interview to briefly discuss your experience, salary expectations and any questions you may have.

The next stage would be a remote interview with a couple of members of our Data Intelligence Team, where we will use this opportunity to get to know you better and understand what experience and skills you can bring to the team and the opportunities that we can give you.

You may then be invited for a further interview with our Chief Technology Officer.