Analytics Developer

at  SaleCycle

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.

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.

• 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.