- Company Name
- WRK digital
- Job Title
- Analytics Engineer
- Job Description
-
WRK digital is delighted to team up with Vintage Cash Cow, a fast-growing online platform that brings preloved vintage treasures to a global audience. Since launching in 2016, they've impressively grown from a small team of five to over 100 experts—and now, we are shortlisting for a Analytics Engineer to join their Technology & Data team!
Vintage Cash Cow is the UK’s leading service for selling vintage and antique items in one simple, hassle-free process. With a mission to promote sustainability and support a circular economy, they empower customers to unlock the value of their cherished items while reducing waste. As they expand into new markets, they are looking for a highly skilled and motivated Analytics Engineer to join a dynamic team and help elevate their data infrastructure and analytics capabilities. If you have experience with Snowflake, digital marketing analytics, and are familiar with Hubspot’s data, we want to hear from you!
Role Overview:
As an Analytics Engineer, you will play a crucial role in developing and maintaining the data architecture, pipelines, and reporting frameworks that enable the VCC teams to make data-informed decisions. You will work closely with both technical and marketing teams, ensuring data accuracy, integrity, and scalability. Your experience with Snowflake, digital marketing analytics, and Hubspot will be key to delivering insights that drive growth and optimisation across their digital channels.
This will be the company’s first data hire as it looks to build out its data capabilities. You should possess a good working knowledge of data warehousing as well as what best practice looks like when undertaking data engineering.
Key Responsibilities:
Data Architecture & Pipeline Development:
Design, implement, and maintain robust and scalable data pipelines, ensuring seamless integration and flow of data across multiple systems.
Data Integration:
Manage and integrate marketing data sources into the data warehouse, ensuring consistency and quality across the data ecosystem. These sources include Adalyser, Meta Ads, Google Ads, Hubspot and Aircall.
Analytics & Reporting:
Collaborate with cross-functional teams (marketing, product, etc.) to build actionable dashboards and reports using your choice of analytics tool. Focus on performance analysis of digital marketing campaigns, ROI, customer journeys, and more.
Data Quality & Validation:
Implement processes to monitor and ensure the accuracy, completeness, and consistency of data. Conduct regular data audits and resolve data issues as needed.
Optimisation & Automation:
Identify opportunities for automation and optimization of data workflows and reporting processes, driving efficiency across the business.
Collaboration:
Work closely with marketing teams to understand key KPIs, campaign metrics, and insights needs, translating them into actionable data solutions.
Documentation & Best Practices:
Document data architecture, processes, and workflows, ensuring a clear understanding of the data ecosystem and promoting best practices within the team.
Required Skills and Experience:
Snowflake Experience:
Solid experience in managing and optimizing Snowflake environments, including data loading, querying, and creating views and stored procedures.
Digital Marketing Analytics Knowledge:
Proven experience working with digital marketing data, including understanding of key metrics (e.g., conversion rates, CAC, LTV) and their analysis across platforms like Google Analytics, social media, SEM, etc.
Hubspot Data Expertise (Preferred):
Experience in working with Hubspot data, including extracting, transforming, and loading (ETL) Hubspot data into a central data warehouse. Familiarity with Hubspot’s reporting tools is a plus.
SQL Proficiency:
Strong SQL skills, with experience in writing complex queries to manipulate and extract insights from large datasets.
ETL & Data Integration Tools:
Experience with ETL tools and frameworks such as Airflow, dbt, or similar.
Data Visualization:
Experience in building interactive and insightful dashboards using BI tools.
Attention to Detail & Problem-Solving Skills:
Strong analytical mindset with a focus on data accuracy, troubleshooting, and resolving complex data issues.
Communication Skills:
Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Experience in Python or R for data analysis and automation is a plus.
Role Benefits:
This is a hybrid position working from their Leeds based office offering a flexible work schedule and remote work options. There is a very competitive salary and performance bonus alongside comprehensive health and wellness benefits. There are brilliant professional development opportunities in a dynamic and creative work environment. You would be working as part of a highly skilled team with over 20 years experience in the sector.
Next Steps:
If this role sounds of interest, please click apply or reach out to James Westwood, james@wrkdigital.co.uk to discuss further.
