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For Companies At a Glance
- Tasks: Analyse data to uncover trends and create impactful BI solutions.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Flexible contract, competitive pay, and opportunities for skill development.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: 3+ years in BI or data analytics, strong SQL skills, and proficiency in Power BI.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
The Business Intelligence (BI) Analyst independently delivers moderate to complex analyses and BI solutions that support business decision-making. This role works closely with Business Analysts and functional teams (Sales Excellence, Marketing & Communication, & Support/Services) to translate business needs into dashboards, reports, and insights. The BI Analyst contributes to continuous improvement of BI solutions and supports self-service analytics initiatives, to drive maturity of data & analytical maturity into the business.
Responsibilities
- Perform moderate to complex data analysis to identify trends, risks, and opportunities.
- Develop and maintain dashboards in Power BI, reports, and visualisations aligned with business requirements.
- Support use cases and preparation for Generative AI.
- Support the business with ad-hoc analysis, utilising SQL (needed) and Python (nice to have).
- Provide insights that support operational and tactical decision-making, via Scorecards and Quarterly reviews.
Stakeholder Collaboration
- Partner with Business Analysts and business teams (Sales Excellence, Marketing & Communication, & Support/Services) to understand data and reporting needs.
- Translate business questions into analytical approaches and BI solutions.
- Support business users in understanding and using BI tools effectively.
- Support deployment of BI deployment, with documentation.
BI Development & Optimization
- Develop reusable BI assets and datasets that support consistent reporting.
- Contribute to data model enhancements and performance optimization.
- Ensure BI solutions follow governance, security, and data quality standards.
Education
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field.
Technical Skills
- 3+ years of experience in business intelligence or data analytics.
- Proficiency with BI tools such as Power BI (Preferred), Tableau, or Qlik.
- Strong SQL skills for querying and analysis.
- Python Knowledge (Pandas, PySci etc) (Preferred).
- Advanced knowledge of Microsoft Excel.
- Experience working with GIT tools.
- Working knowledge of data modelling concepts and ETL processes.
- Familiarity with cloud data platforms (e.g., Fabric, Google BigQuery, Snowflake) is an advantage.
Soft Skills
- Analytical thinking and problem-solving skills.
- Ability to work independently while collaborating across teams.
- Strong communication skills with technical and non-technical stakeholders.
- Time management and prioritization across multiple initiatives.
- Fluent English speaking.
Business Intelligence Analyst in London employer: Algomarketing Ltd.
Contact Detail:
Algomarketing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst in London
✨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 BI projects, dashboards, and analyses. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios and case studies. Practice explaining your thought process and how you approach data analysis – it’s all about demonstrating your analytical thinking!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Business Intelligence Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Analyst role. Highlight your experience with BI tools like Power BI and your SQL skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in SQL and any experience with Python. If you've worked on any cool projects or dashboards, share those too! We’re keen to see what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Algomarketing Ltd.
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and any other tools mentioned in the job description. Prepare to discuss specific projects where you've used these tools to deliver insights or solve problems. This shows you can hit the ground running!
✨Showcase Your Analytical Skills
Be ready to talk about how you've identified trends or opportunities in past roles. Use concrete examples that demonstrate your analytical thinking and problem-solving abilities. This will help the interviewers see how you can contribute to their decision-making processes.
✨Understand the Business Context
Research the company and its industry to understand their business needs. Be prepared to discuss how your analyses can support their goals, especially in areas like Sales Excellence and Marketing. This shows you’re not just a tech whiz but also a strategic thinker.
✨Prepare for Stakeholder Collaboration
Think of examples where you've worked with cross-functional teams. Highlight your communication skills and how you’ve translated complex data into actionable insights for non-technical stakeholders. This is crucial for a role that requires collaboration across various departments.
