At a Glance
- Tasks: Build and scale data capabilities while delivering high-quality analytics and reporting.
- Company: Award-winning online retailer with a strong focus on innovation and customer experience.
- Benefits: Competitive salary, generous staff discounts, free parking, and excellent development potential.
- Other info: Fast-paced environment with opportunities for career advancement and impactful work.
- Why this job: Join a dynamic team to drive growth through actionable insights and cutting-edge data solutions.
- Qualifications: Experience in data engineering or analysis, with skills in SQL and familiarity with BI tools.
The predicted salary is between 35000 - 40000 £ per year.
Our client, established for almost 30 years and enjoying a turnover of approaching £50m, is an award-winning online retailer serving a professional, skilled workforce and consumers throughout the UK. Stocking tens of thousands of products, it is under new leadership who have joined to drive its next phase of expansion through smarter operations, a richer product offering and even better customer experience.
As Data Engineer & Analyst you will play a key role in building and scaling the company’s data capability. Working closely with the Head of Data, you will be responsible for developing robust data pipelines, maintaining the data warehouse, and delivering high-quality analytics and reporting to support business decision-making.
Sitting at the intersection of Engineering and Analytics, ensuring data is reliable, accessible, and transformed into actionable insights that drive growth across marketing, e-commerce, operations and finance responsibilities will include:
- Data Engineering & Infrastructure
- Analytics & Reporting
- Business Partnering
- Data Quality & Governance
- Continuous Improvement & Innovation
- Ensuring reliable, well-structured data pipelines and datasets; high-quality, trusted and valued reporting used across the business; improved visibility of key commercial and operational metrics; faster turnaround on data requests and more timely insights and increased adoption of data across teams
As Data Engineer & Analyst you will need:
- Strong commercial experience gained in a Data Engineer, Data Analyst or a similar role, preferably gained in a fast-paced, high growth, high volume, e-commerce, retail or FMCG environment
- Familiarity with marketing data (Google Ads, Meta, email platforms etc.) and customer analytics advantageous – as is basic knowledge of Python or R
- Basic SQL skills and understanding of data modelling
- Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow)
- Experience building dashboards using BI tools (e.g. Power BI, Tableau, Looker)
- Strong analytical thinking and problem-solving skills
- Ability to work with non-technical stakeholders and translate requirements
Data Engineer & Analyst rewards and benefits:
- Basic salary £35-40k + attractive benefits
- Maximum pay/rewards, dependent on possessing all outlined experience, skills, knowledge and qualifications
- Excellent development potential
- Generous staff discounts
- Free on-site parking
Please note: we review applications on receipt and aim to respond to shortlisted candidates within 5 days. You must have permanent eligibility to work in the UK - no visa opportunities available.
Data Engineer & Data Analyst in Newton Aycliffe employer: Catalyst
As an award-winning online retailer with nearly 30 years of experience, our client offers a dynamic work environment in Newton Aycliffe that fosters innovation and growth. Employees benefit from competitive salaries, generous staff discounts, and excellent development opportunities, all while contributing to a company poised for expansion in the e-commerce sector. Join a collaborative team where your insights as a Data Engineer & Analyst will directly influence business decisions and drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer & Data Analyst in Newton Aycliffe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, or any analytics work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering and analytics questions. Practice explaining your past projects and how they relate to the role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer & Data Analyst in Newton Aycliffe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer & Analyst role. Highlight your experience with data pipelines, analytics, and any relevant tools like SQL or BI software. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our growth. Be sure to mention any specific projects or achievements that showcase your analytical skills.
Showcase Your Technical Skills:Don’t forget to list your technical skills clearly. If you've worked with big data platforms or have experience in Python or R, let us know! We love seeing candidates who are comfortable with the tools that drive our data capabilities.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Catalyst
✨Know Your Data Tools
Familiarise yourself with the specific data tools mentioned in the job description, like Snowflake or Power BI. Be ready to discuss your experience with these platforms and how you've used them to solve real-world problems.
✨Showcase Your Analytical Skills
Prepare examples of how you've turned data into actionable insights in previous roles. Think about specific projects where your analysis led to improved decision-making or operational efficiency.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex data concepts in simple terms. You might be asked to demonstrate how you would communicate findings to a non-technical audience, so think of ways to make your insights relatable.
✨Emphasise Continuous Improvement
Be ready to discuss how you've contributed to continuous improvement in your past roles. Highlight any initiatives you've taken to enhance data quality or streamline processes, as this aligns with the company's focus on innovation.
