At a Glance
- Tasks: Transform raw data into insights and support business decisions.
- Company: Join a dynamic team in Walsall focused on data-driven solutions.
- Benefits: Enjoy a competitive salary and the chance to work on-site.
- Other info: Refer a friend for a chance to earn £250 in vouchers!
- Why this job: Be part of a culture that values analytical thinking and innovation.
- Qualifications: Proficiency in SQL, Excel, Power BI, and experience with cloud platforms required.
The predicted salary is between 36000 - 54000 £ per year.
Business Intelligence Analyst - Walsall
Salary up to £45,000 per annum
On-site working!
A Business Intelligence Analyst is required for a client based in Walsall. The position involves transforming raw data into actionable insights to support business decisions and monitor performance, relying on analytical thinking and problem-solving skills.
The role includes carrying out the full data analysis lifecycle, such as requirements analysis, data modelling, metric creation, and front-end report development. Responsibilities also include supporting the technical approach for business intelligence reporting and maintaining existing business insight reports. The analyst will work to streamline reports and enhance data integrity across the organisation while demonstrating accountability in decision-making.
Key skills and responsibilities:
- Strong proficiency in SQL, Excel, Power BI, and DAX, as these tools form a core part of the role.
- Solid knowledge of T-SQL, with experience writing complex queries and developing stored procedures to extract and interrogate data.
- Deep understanding of databases, query optimisation techniques, load monitoring, the Microsoft BI Stack, and ETL frameworks.
- Technical expertise in data mining, auditing, and segmentation.
- Experience in building reusable data models, preferably involving customer and/or asset data.
- Skilled in processing and cleaning raw data to prepare it for analysis.
- Strong analytical abilities, including experience with performance data, application of techniques such as linear regression, and advanced data visualisation skills
- Proven capability in conducting user acceptance testing (UAT) to ensure data accuracy and integrity.
- Ability to translate complex datasets into meaningful, actionable insights for stakeholders without a technical background.
- Familiarity with programming languages such as Python
- Previous experience working with cloud-based data platforms, such as Snowflake or Databricks.
- Excellent communication skills, with a track record of building and maintaining strong working relationships across all organisational levels.
- Ability to understand stakeholder requirements and design appropriate, impactful reporting solutions.
Interested? Please submit your updated CV to at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Crimson is acting as an employment agency regarding this vacancy.
Business Intelligence Analyst - Walsall employer: Crimson
As a Business Intelligence Analyst at our Walsall location, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive salaries, opportunities for professional development, and a supportive environment where your analytical skills can make a real impact on business decisions. Join us to be part of a team that values your contributions and fosters growth in the ever-evolving field of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst - Walsall
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Power BI, and DAX. Consider taking online courses or tutorials to sharpen your skills in these areas, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Prepare to discuss your experience with data analysis and reporting in detail. Think of specific examples where you've transformed raw data into actionable insights, as this will demonstrate your ability to meet the role's requirements effectively.
✨Tip Number 3
Network with professionals in the business intelligence field, especially those who work with the Microsoft BI Stack. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 4
Research the company and its culture thoroughly. Understanding their business model and how they utilise data can help you tailor your discussions during interviews, showing that you're genuinely interested in contributing to their success.
We think you need these skills to ace Business Intelligence Analyst - Walsall
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your proficiency in SQL, Excel, Power BI, and DAX. Include specific examples of how you've used these tools in previous roles to transform data into actionable insights.
Craft a Compelling Cover Letter:In your cover letter, emphasise your analytical thinking and problem-solving skills. Discuss your experience with the full data analysis lifecycle and how you can contribute to streamlining reports and enhancing data integrity.
Showcase Relevant Experience:When detailing your work history, focus on your experience with T-SQL, data mining, and building reusable data models. Mention any familiarity with cloud-based data platforms like Snowflake or Databricks.
Highlight Communication Skills:Since the role requires excellent communication skills, provide examples of how you've successfully translated complex datasets into meaningful insights for non-technical stakeholders in your previous positions.
How to prepare for a job interview at Crimson
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Excel, Power BI, and DAX during the interview. Be prepared to discuss specific projects where you used these tools to transform data into actionable insights.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical abilities, particularly in performance data analysis and advanced data visualisation. Discuss techniques you've applied, such as linear regression, to solve real business problems.
✨Communicate Clearly
Since you'll need to translate complex datasets for stakeholders, practice explaining your past projects in simple terms. This will demonstrate your ability to communicate effectively with non-technical team members.
✨Understand the Business Context
Research the company and its industry to understand their specific challenges and needs. Tailor your responses to show how your skills can directly address their business intelligence requirements.
