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- Tasks: Develop and maintain data solutions while managing projects from start to finish.
- Company: Join a forward-thinking organization focused on maximizing the value of data assets.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and skill development.
- Why this job: Be at the forefront of data engineering, impacting business initiatives and driving innovation.
- Qualifications: Strong communication skills and ability to work both independently and in teams are essential.
- Other info: Ideal for tech-savvy individuals eager to tackle real-world data challenges.
The predicted salary is between 36000 - 60000 £ per year.
Contract Duration – 12 months
Key Responsibilities:
- Support strategic business decision-making by turning raw data into critical information that can be analysed, while informing metrics / KPIs and financial forecasts
- Design and implement scalable QuickSight dashboards that track key performance indicators for subscriber growth, content consumption, financial reporting, and marketing campaign effectiveness across different international markets
- Educate and train the team in self-serving using these dashboards, gather feedback on missing functionalities and implement upgrades as required
- Create customized reporting solutions and support ad hoc analyses that allow the international team to monitor and compare the performance of various territories, enabling data-driven decision-making for content acquisition and marketing resource allocation
Basic Qualifications :
- A self-starter with a background in supporting financial analysis, marketing analytics, subscriber analytics and/or content strategy, who can work independently to develop and customize dashboards for multiple territories
- A engineering professional with 3 years’ experience in analyzing and interpreting data using BIE tools, particularly QuickSight, Redshift, SQL
- An individual with excellent written communication skills, capable of collaborating effectively with cross functional teams that have varying levels of technical expertise and international reach and translating business needs into actionable product requirements
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Business Intelligence Analyst employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨Tip Number 1
Familiarize yourself with the latest data engineering tools and technologies. Being well-versed in platforms like Apache Spark, Hadoop, or cloud services such as AWS and Azure can set you apart from other candidates.
✨Tip Number 2
Showcase your ability to manage projects effectively. Highlight any experience you have in leading data engineering projects, as this is crucial for the role. Use specific examples to demonstrate your project management skills.
✨Tip Number 3
Emphasize your collaboration skills. Since you'll be working closely with Software Engineers, Data Scientists, and Product Managers, it's important to convey your ability to work in a team and communicate effectively across different departments.
✨Tip Number 4
Prepare to discuss your experience with ETL processes. Be ready to explain how you've designed and implemented large-scale data pipelines in previous roles, as this is a key responsibility of the position.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Business Intelligence Analyst. Familiarize yourself with data engineering concepts and the specific skills required for the position.
Tailor Your CV: Customize your CV to highlight relevant experience in data management systems, ETL processes, and any projects that demonstrate your ability to work independently and as part of a team.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the business initiatives. Mention specific examples of how you've successfully managed data projects in the past.
Highlight Communication Skills: Since excellent communication is key for this role, ensure your application reflects your written and verbal communication skills. Provide examples of how you've collaborated with cross-functional teams in previous roles.
How to prepare for a job interview at Morgan McKinley
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management systems and ETL processes. Highlight specific projects where you designed or maintained scalable data solutions, as this will demonstrate your technical expertise.
✨Emphasize Team Collaboration
Since the role involves working closely with Software Engineers, Data Scientists, and Product Managers, share examples of how you've successfully collaborated in past projects. This will show that you can work well in a team environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Be ready to explain how you approach challenges in data engineering and provide examples of algorithms or models you've developed to solve specific problems.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you may need to present your ideas to non-technical stakeholders during the interview.
