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- Tasks: Lead data analytics, develop insights, and create compelling visualisations.
- Company: Join a global payments leader shaping the future of merchant-centric ecosystems.
- Benefits: Enjoy fully remote work, continuous learning, and a collaborative culture.
- Why this job: Be part of a forward-thinking team driving innovation in a rapidly evolving industry.
- Qualifications: Bachelor's degree in a quantitative field and extensive experience with SQL and reporting tools.
- Other info: Opportunity to establish a new Data Analytics function and promote a data-driven culture.
The predicted salary is between 48000 - 72000 £ per year.
VANRATH is pleased to be partnering with a global payments leader to recruit a Lead Data Engineer for a fully remote, permanent role. This is a unique opportunity to establish and lead a Data Analytics function, shaping strategy and delivering insights that drive growth and innovation within a rapidly evolving industry. You\’ll join a forward-thinking organisation that is building the next generation of capabilities to power a merchant-centric ecosystem . The environment is collaborative, outcome-focused, and empowers small teams to tackle real-world problems with curiosity and pragmatism. Key Responsibilities – Partner with stakeholders to scope, prioritise, and execute complex data analyses that inform strategic decisions – Develop insights and models using SQL, Looker, and other reporting tools to optimise business outcomes – Oversee advanced analytics and define key performance indicators and performance metrics – Collaborate with Data Engineering to build data pipelines and define reporting requirements – Lead the creation of frameworks, processes, and tools to embed analytics into business decision-making – Deliver compelling data visualisations and self-service reporting to support business functions – Act as a thought leader to promote a data-driven culture within the organisation Essential Criteria – Bachelor\’s degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline – 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) – 5+ years of experience with reporting/visualization tools (Looker, Tableau, Power BI, etc.) – Strong knowledge of Looker / LookML highly desirable – Deep understanding of data preparation, processing, and classification – Experience working with Agile methodologies and collaborating with cross-functional teams – Strong consultative, problem-solving, and communication skills – Proven ability to lead initiatives and work closely with stakeholders to deliver actionable insights What\’s on offer? Fully remote working A chance to build and shape a new Data Analytics function A collaborative, outcome-driven culture with minimal red tape Opportunities for continuous learning, innovation, and career development Interested in learning more? Apply today or reach out to VANRATH for a confidential discussion. #VANRATH #DataEngineer #SQL #Looker #RemoteJobs #GlobalPayments #DataAnalytics #HiringNow #J-18808-Ljbffr
Contact Detail:
VanRath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially SQL and Looker. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in leading data analytics initiatives. Be prepared to discuss specific examples where you've successfully influenced business decisions through data insights, as this aligns closely with the role's responsibilities.
✨Tip Number 3
Showcase your ability to work collaboratively in cross-functional teams. Prepare to share instances where you've partnered with stakeholders to deliver actionable insights, as this is a key aspect of the position.
✨Tip Number 4
Demonstrate your understanding of Agile methodologies. Being able to discuss how you've applied Agile principles in previous roles will resonate well with the company's collaborative and outcome-focused culture.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, SQL, and reporting tools like Looker or Tableau. Use specific examples that demonstrate your ability to lead initiatives and deliver actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience in building data analytics functions and collaborating with stakeholders.
Showcase Your Technical Skills: Clearly list your technical skills related to SQL and data visualisation tools. If you have experience with specific platforms mentioned in the job description, such as Snowflake or Looker, be sure to highlight this prominently.
Demonstrate Leadership Experience: Provide examples of past leadership roles or projects where you shaped strategy or drove innovation. This will help illustrate your capability to lead a Data Analytics function and promote a data-driven culture within an organisation.
How to prepare for a job interview at VanRath
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and reporting tools like Looker, Tableau, or Power BI. Bring examples of how you've used these tools to drive business outcomes and optimise processes.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your ability to tackle complex data challenges.
✨Emphasise Collaboration and Communication
Since the role involves working closely with stakeholders and cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your consultative approach and ability to convey complex data insights clearly.
✨Prepare for Cultural Fit Questions
Research the company's culture and values. Be ready to discuss how your work style aligns with their collaborative and outcome-focused environment. Show enthusiasm for contributing to a data-driven culture within the organisation.
