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- Tasks: Lead data pipelines and create impactful dashboards for informed decision-making.
- Company: Join SmartSurvey, a leading UK-based SaaS company revolutionising online surveys since 2010.
- Benefits: Enjoy remote work flexibility, competitive salary, and a range of corporate perks.
- Why this job: Be part of a dynamic team that empowers people through data-driven insights and innovative solutions.
- Qualifications: Experience in ELT workflows, Power BI, and a collaborative mindset are essential.
- Other info: This role is remote with occasional team meetings; ensure you have a suitable workspace.
The predicted salary is between 43200 - 72000 £ per year.
We are a UK-based SaaS company launched in 2010; we have rapidly grown into one of the leading online survey platforms in the UK and Europe. At SmartSurvey, our vision is to be the leading survey platform that gives every person a voice. We are dedicated to making it easy to ask the right questions to empower people to make informed decisions and achieve better outcomes.
SmartSurvey is looking for a Senior Analytics Engineer to lead the delivery of data pipelines, insights, and dashboards that drive confident, data-informed decisions across the business. This is a hands-on, cross-functional role, combining technical expertise in data modelling and transformation with stakeholder collaboration and business acumen. You’ll take responsibility for the full ELT process, develop and optimize our Power BI semantic layer, and create impactful dashboards that help teams across SmartSurvey thrive.
Responsibilities:
- Data Strategy and Pipeline Development: Lead the end-to-end ELT process from extracting data from diverse sources (e.g., Salesforce, HubSpot, Recurly, Stripe, Mixpanel, Azure SQL) to transforming it into clear, reusable models in Power BI. Design, automate and manage reliable data pipelines that integrate data across systems and support scalable reporting needs. Champion best practices in data transformation using Power Query (M) and DAX.
- Semantic Modelling & Dashboard Delivery: Develop and maintain robust semantic models in Power BI to support self-serve analytics and a standardised approach to reporting. Create intuitive, high impact dashboards that showcase key insights across revenue, customer engagement, product usage and retention metrics. Continuously optimise performance and usability to deliver fast, reliable reporting experiences.
- Stakeholder Collaboration & Insights Generation: Partner with teams across Sales, Product, Marketing, Support, Operations and Finance to understand business goals and data reporting needs. Translate complex data into actionable insights through storytelling and compelling visuals.
- Governance, Enablement & Documentation: Implement secure data governance practices within Power BI (e.g., workspace structure, row-level security, access controls). Document data definitions, transformation logic and dashboard using to drive shared understanding and transparency. Empower team members to confidently interpret and explore dashboards by providing training, support and resources.
Skills and Experience:
- Experience designing and delivering ELT workflows using Power BI or similar tools (e.g., SQL-based pipelines, Azure Data Factory).
- Strong proficiency with Power BI Desktop and Power BI Service, including DAX, Power Query (M language), and semantic modelling.
- Experience working in a SaaS business and familiarity with KPIs like MRR/ARR, churn, CAC and CLTV.
- Comfortable integrating data from multiple sources (cloud apps, APIs, databases).
- Collaborative and clear communicator, with the ability to translate business needs into data solutions.
- Ability to balance technical detail with broader business context.
Additional skills we would love to see:
- Experience coaching or enabling non-technical users to navigate and interpret dashboards.
- Familiarity with Microsoft Power Platform tools (e.g., Power Automate, Power Apps).
- Experience working in a fast-paced SaaS or scale-up environment.
The ideal candidate will have start-up experience, preferably with a background in tech/SaaS.
This is a remote role; however, you may be required to attend team meetings occasionally. You must have a suitable space to work from at home and a reliable internet connection.
Senior Analytics Engineer employer: SmartSurvey
Contact Detail:
SmartSurvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Power BI, DAX, and Power Query. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Understand the key performance indicators (KPIs) relevant to a SaaS business, such as MRR, ARR, and churn rates. Being able to discuss these metrics confidently during your interactions will demonstrate your business acumen.
✨Tip Number 3
Prepare to discuss your experience with data governance practices, particularly in Power BI. Highlight any previous roles where you implemented security measures or managed access controls, as this is crucial for the role.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. Being able to communicate complex data insights effectively will be key in this role.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and skills required for the Senior Analytics Engineer position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with ELT workflows, Power BI, and data modelling. Provide specific examples of projects where you successfully delivered data insights and dashboards.
Showcase Communication Skills: Since the role involves stakeholder collaboration, demonstrate your ability to communicate complex data insights clearly. Include examples of how you've translated business needs into actionable data solutions in your application.
Personalise Your Application: Address your application to SmartSurvey specifically and express your enthusiasm for their mission. Mention why you want to work with them and how you can contribute to their vision of empowering people through data.
How to prepare for a job interview at SmartSurvey
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ELT workflows and tools like Power BI. Highlight specific projects where you've designed data pipelines or created dashboards, and be ready to explain the technical details in a way that demonstrates your expertise.
✨Understand the Business Context
Familiarise yourself with key performance indicators relevant to SmartSurvey, such as MRR/ARR and churn rates. During the interview, relate your technical skills back to how they can drive business outcomes and support decision-making across teams.
✨Prepare for Stakeholder Collaboration Questions
Expect questions about how you’ve worked with cross-functional teams in the past. Be ready to share examples of how you translated complex data into actionable insights and how you’ve communicated effectively with non-technical stakeholders.
✨Demonstrate Your Passion for Data
Convey your enthusiasm for technology and data analytics. Share any personal projects or experiences that showcase your commitment to continuous learning and improvement in the field, as this aligns well with SmartSurvey's vision.
