Job Title: Data Analytics Manager
Location: Gateshead UK (Hybrid)
Reporting to: CTO

At this current time we are accepting applicants who are based in the United Kingdom and who will be able to come into our Gateshead office at least once per week.

About us

SaleCycle powers campaigns for some of the worlds most recognisable brands. We help 500 enterpriselevel clients worldwide to optimise their online conversions through traffic retention and abandoned sales recovery.

Youll find our HQ in the North East of England which was founded in 2010 but since then weve been on a very exciting growth journey and we also have employees in France.

We use the latest tech and innovation to shape our products and deliver results. All of which wouldnt be possible without our people thats why theyre at the heart of everything we do.

Our Values

At SaleCycle we care about people it really is our top priority. We care about wellbeing 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: Embrace Your Inner Childask why and listen!

Proactive Collaboration: United we work together and lead the way!

Ultimate Passion: Infuse ultimate passion into every action!

The Data Team at SaleCycle

SaleCycle is looking to recruit a Data Analytics Manager with enthusiasm for actionable insights to lead a team responsible for meeting our data challenges. This is an excellent opportunity to take on a leadership role in a cutting edge analytics team. Data now more than ever is crucial for supporting our clients and understanding their customers better so we can meet their needs and drive better outcomes. As our Data Analytics Manager you will work closely with colleagues across the business using advanced analytics to understand our client needs better and share your expertise to solve problems in line with our product strategy.

Your team will be helping to shape our approach to using data by continuing to build out a modern data stack. The stack includes technologies such as Looker Snowflake DBT Cyclr and SageMaker and will allow business teams to unlock actionable insight and models driving successful business outcomes and enabling SaleCycle product development.

You will be responsible for growing a team by supporting and retaining our analytics developers and data scientists and attracting the best talent. Youll be responsible for training giving direction to current colleagues and ensuring they have the right tools skills and product clarity for what they need to deliver. You will need to balance the daytoday demands of the business whilst playing a massive part in enabling your team to contribute as efficiently and effectively as possible to deliver new products based on our strategy and vision. On a personal level youll take great satisfaction in being responsible for a high performing team and take pride in communicating the impact of your teams work to stakeholders across the business.

As a Data Analytics Manager you will

• Build and lead a strong team of Data Professionals bringing the best talent into the team mentoring and coaching team members and ensuring their success.

• Deliver work according to the priorities set by the Technical Delivery Director in the context of quarterly objectives with input from the CTO your team and other stakeholders.

• Support your team by helping to bridge the gap between problems and solutions clearing blockers and providing timely constructive feedback when needed.

• Take an active role in championing best practices as we scale our modern data stack by defining standards and policies to ensure maintainability and quality.

• Collaborate with the CTO to help define the strategy for how SaleCycle can maximise the value of our data and best utilise our data capabilities.

• Assist the Technical Delivery Director and the Product team with effective planning and scoping of datadriven solutions that help to drive our strategic product strategy.

• Respond to adhoc requests for data intelligence drawing on your own and your teams breadth of experience to deliver high quality insight in a timely manner.

• Work closely with internal clientfacing teams to ensure that we are able to meet clients reporting requirements in a product led and scalable way and that knowledge and awareness of our overall reporting capabilities are communicated effectively.

• Promote a positive culture within the team creating a safe space where ideas can be openly discussed and instil practices such as knowledge sharing.

• Build good relationships with other managers inside and outside the wider Technology Department to better understand their needs and perceptions.

• Mentor support and provide feedback to your team by sharing your experience best practices and staying abreast of the latest technologies and techniques.

Requirements for the role

• Three years of professional experience working in a Data Analytics role.

• Extensive knowledge of modern data stacks (Looker Snowflake DBT) and able to identify opportunities of applying it to unlock business value.

• Excellent organisational and stakeholder management skills with a natural ability to prioritise concurrent requests of varying depth and complexity across different levels of stakeholder and manage expectations effectively.

• Able to draw upon own experience to identify areas for improvement in process and technology and actively participate in helping to support other peoples ideas.

• Understand the skills required to tell a meaningful story from data allowing the insight to be effectively communicated to all levels of the business.

• 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

• Building leading mentoring and developing high performing analytical teams.

• Experience across a wide range of data technologies and tools.

• Good awareness of data governance and implications for handling personal data.

• Already delivered or is in the process of delivering a substantial business transformation involving the creation of a robust and modern data stack.

Personal Skills and Attributes

• Natural leader positive mindset encourages and empowers others.

• Enjoys the satisfaction of being responsible for a high performing team.

• Strong interpersonal skills and an excellent communicator.

• Cares about the work and is able to instil that same care in the team.

• Highly organised with effective delegation and prioritisation.

• Can disagree constructively and escalate appropriately.

• Identify and manage pressures in yourself and the team.

• Ability to balance the needs of the team and the business appropriately.

• Rigorous with analysis and continuously strives for excellence.

• Selfmotivated attentive to detail keen eye for quality.

• Commercial mindset.

• Lifelong learner.

Perks & Benefits

We value our employees at SaleCycle so we offer great benefits and incentives in addition to a competitive salary.

Flexible hybrid working

25 days as standard public holidays your birthday off

EAP including 24/7 GP access

Life Insurance

Up to 5% matched pension contribution

Tech & Cycle to work salary sacrifice schemes

Annual company meetup

Monthly social fund

Bonus schemes for innovation new business and employee referrals

Enhanced parental leave

Volunteering Days

Long Service Awards

Hiring Process:

1. Initial screening (1530 mins)

2. Deep dive (1 hour) inperson or remote

3. Final Interview (1 hour) in person or remote

We may include an additional stage in the hiring process.

Support If you have a medical condition or an individual need for an adjustment to our process and you believe this may affect your ability to be at your best please let us know so we can talk about how we can best support you and make any adjustments that may be needed.

*We are an equal opportunities employer and value diversity at our company. We do not discriminate based on race religion sex national origin gender sexual orientation marital status disability status or age.*

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