Senior Analytics Engineer

Company Description

ChangeEngine, at its core, is an innovative platform designed to redefine employee engagement for the modern workplace. Recognized as one of Fortune’s 100 top SMB Workplaces, we’re building a future where work is more connected, meaningful, and fulfilling. Dubbed the Canva meets HubSpot for the people team, we operate on the belief that the well-being of employees is fundamental to organizational success. Our mission is to streamline how companies communicate with their workforce, transitioning from outdated methods to a more personalized and impactful approach. Founded by entrepreneurs with a successful track record in Silicon Valley and the UK, ChangeEngine is propelled by significant investment to enhance the employee experience through intelligent communication solutions.

Job Description

As a Analytics Engineer at ChangeEngine, you will have a unique opportunity to shape the data experiences for our customers. You will be the first focused data hire to join our team. This means that you will have the opportunity to own the entire data stack with support from senior engineers on our team.
This position requires demonstrable experience as an analytics engineer/data analyst/data engineer, a strong background in B2B SaaS environments, and familiarity with the challenges of early-stage and scale-up companies. You will play a key role in selecting and implementing the right tools and technologies to ensure our data ecosystem is scalable, reliable, and efficient. And ultimately provides the customers with valuable insights.

Key Responsibilities

• Deliver well-defined, transformed, tested, documented, and code-reviewed data sets ready for analysis

• Apply software engineering best practices to analytics code

• Build innovative analytics products for our customers

• Train the team on how to use and create analytics products

• Collaborate with the wider engineering and product team to understand data requirements and ensure data quality and integrity

• Collaborate with the wider company to understand customer data analytics needs

Qualifications

• You have demonstrable and relevant experience within analytics engineering, data analysis and/or data engineering, ideally within a B2B SaaS environment

• Strong knowledge of data architecture and data processing frameworks (e.g., Apache Airflow, dbt).

• Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services

• Experience with building successful data products and experiences for customers

• Familiarity with database technologies such as PostgreSQL

• Experience in early-stage and scale-up environments is highly desirable

• Strong proficiency in SQL

• Proficiency in programming languages such as Python or Scala

Additional Information

• Stock options
• Flexible working: Be part of a culture of trust and autonomy, where you’re empowered to manage your workload and schedule in a way that works best for you.
• Experience the best of both worlds with our hybrid work model, combining in-person collaboration with the flexibility to work remotely as needed. No fixed office days, just the freedom to thrive.
• Health insurance via Vitality 
• £400 WFH budget 
• £500 annual L&D budget to help you continually grow
• Annual company wide retreats 
• 25 days holiday + bank holidays
• 4 days a year where the focus is on generating new ideas and prioritising your wellness