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For Companies At a Glance
- Tasks: Analyse data to uncover trends and create impactful dashboards.
- 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 business intelligence, strong SQL skills, and experience with 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 employer: Algomarketing Ltd.
Contact Detail:
Algomarketing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨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 your SQL and Power BI skills. Be ready to discuss how you've used these tools in past roles and how you can apply them to their business needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a Business Intelligence Analyst. Highlight your experience with BI tools like Power BI and your SQL skills, as these are key for us. Don’t just list your duties; show how you’ve made an impact in previous roles!
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 your skills align with our needs. Be sure to mention any relevant projects or experiences that demonstrate your analytical thinking and problem-solving abilities.
Showcase Your Technical Skills: We love seeing technical skills in action! If you’ve worked with Python or have experience in cloud data platforms, make sure to include specific examples. This will help us understand how you can contribute to our BI solutions and support self-service analytics initiatives.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Algomarketing Ltd.
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in Power BI and any other BI tools mentioned in the job description. Be ready to discuss your experience with these tools, including specific projects where you developed dashboards or reports. This will show that you can hit the ground running.
✨Brush Up on SQL and Python
Since strong SQL skills are a must-have, prepare to answer technical questions or even solve problems on the spot. If you have experience with Python, especially libraries like Pandas, be prepared to discuss how you've used them in your previous roles.
✨Understand the Business Context
Familiarise yourself with the company’s industry and how they use data to drive decisions. Think about how you can translate business needs into actionable insights. This will help you demonstrate your analytical thinking and problem-solving skills during the interview.
✨Prepare for Stakeholder Interaction
Since this role involves collaborating with various teams, think of examples where you’ve successfully communicated complex data insights to non-technical stakeholders. Highlight your ability to work independently while still being a team player, as this is crucial for the role.
