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- Tasks: Build and maintain insightful reports for the Connected Store product across multiple regions.
- Company: Join a leading company in the retail tech space with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact by transforming data into actionable insights for global retailers.
- Qualifications: 5+ years in BI, strong skills in Python, Tableau, and ETL processes required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Business Intelligence Engineer to build and maintain productized reports for the Connected Store product, which supports multiple retailer and brand programs across the USA, UK, and South Africa. The ideal candidate will possess strong business intelligence (BI) engineering skills, complemented by a robust technical background and a solid understanding of basic data engineering practices. Proficiency in data structures, Python data tools, query languages, and Tableau will be highly beneficial for this role.
RESPONSIBILITIES
- Reporting and Analysis: Develop, standardize, and maintain product reports and dashboards to monitor the performance of connected store network operations, including media and sales performance reports.
- Data Management: Establish and maintain appropriate ETL (Extract, Transform, Load) processes to integrate data from various internal and external sources. Ensure the accuracy, consistency, and reliability of data by implementing rigorous data cleaning and validation procedures. Design and optimise data pipelines to facilitate efficient data flow and processing. Manage and organise large datasets to support business intelligence reporting and analysis. Continuously monitor and refine ETL processes to adapt to changing data sources and business requirements. Collaborate with data engineers and other stakeholders to ensure seamless data integration and accessibility.
- BI Tools Utilization: Utilize BI tools like Tableau and Grafana to create reports, dashboards, and visualizations that provide actionable insights. Optimize BI tools to ensure optimal performance when embedding reports and support upgrades, configuration, and troubleshooting.
- Performance Monitoring: Assist with establishing key performance indicators (KPIs) across the product, including network operations, system performance, and program performance defined by media and sales metrics.
- Collaboration: Work closely with cross-functional teams, including finance, operations, and sales, to support strategic initiatives.
- Documentation: Maintain clear and thorough documentation of processes, methodologies, and analyses.
- Continuous Improvement: Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness.
REQUIREMENTS
- 5+ years of experience in a related field.
- Bachelor's or Graduate's Degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field.
- Proven experience working with and establishing ETL processes.
- Proficiency in data visualization tools such as Tableau.
- Strong technical background with an understanding of basic data engineering practices.
- Experience with Python and related data tools.
- Familiarity with data structures, query languages (MySQL), and database management.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience with monitoring KPIs and performance metrics.
- Experience in the retail or media industry is a plus.
- Familiarity with Agile methodologies and version control systems is an advantage.
Senior Business Intelligence Engineer in London employer: Barrows
Contact Detail:
Barrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Intelligence Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your BI projects, dashboards, and reports. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for common BI interview questions and be ready to discuss your experience with ETL processes and data visualisation tools like Tableau. Practice explaining complex concepts in simple terms to show off your communication skills.
✨Apply Through Our Website
Don’t forget to check out our job listings on the StudySmarter website! Applying directly through us can sometimes give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Business Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Business Intelligence Engineer role. Highlight your experience with BI tools like Tableau and any relevant ETL processes you've established. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects or reports you've worked on that demonstrate your proficiency in data management and analysis. This is your chance to show us how you've used your technical background to drive results in previous roles.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how you can contribute to our team. Use it to explain your understanding of the retail and media industries, and how your skills can help us improve our connected store product.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Barrows
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in the BI tools mentioned in the job description, especially Tableau and Grafana. Prepare to discuss specific projects where you've used these tools to create impactful reports or dashboards.
✨Brush Up on ETL Processes
Since establishing ETL processes is a key responsibility, be ready to explain your experience with them. Think of examples where you’ve successfully integrated data from various sources and how you ensured data accuracy and reliability.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving skills. You might be asked to solve a case study or analyse a dataset during the interview, so practice explaining your thought process clearly and logically.
✨Communicate Effectively
Strong communication skills are essential for this role. Be prepared to discuss how you’ve collaborated with cross-functional teams in the past. Highlight any experiences where your communication made a significant impact on project outcomes.