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- Tasks: Transform data into actionable insights using PowerBI and collaborate with teams to drive efficiency.
- Company: Join a dynamic technology transformation team focused on innovative data solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Be at the forefront of data innovation and make a real impact on business intelligence.
- Qualifications: 2-3 years in data analysis, strong skills in PowerBI, SQL, and data integration required.
- Other info: Experience with Agile methodologies and financial services data is a plus.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a skilled Data Analyst with 2-3 years' experience to join our technology transformation team. In this role, you will be instrumental in transforming our fragmented data landscape into actionable business intelligence through PowerBI dashboards, data warehouse implementation, and system integrations. You will collaborate closely with business units to understand their data needs and develop solutions that drive efficiency and insight.
Responsibilities
- Design, develop, and maintain PowerBI dashboards and reports to provide actionable business intelligence
- Implement and manage our Microsoft data warehouse initiative
- Develop system integrations using Power Automate, APIs, and other integration tools
- Address data quality issues through analysis, cleansing, and standardisation
- Build automated data quality monitoring tools and processes
- Develop natural language processing solutions for document analysis and data extraction
- Collaborate with teams across the business to identify automation opportunities
- Document data flows, structures, and processes to support knowledge sharing
- Understanding of CRM (FibreCRM) Data and processes
Requirements
- ~2-3 years' professional experience in data analysis, business intelligence, or a related field
- ~Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot)
- ~Proficiency in SQL, Python and data querying techniques
- ~Experience in data modelling and data warehouse concepts
- ~API - data integration methods
- ~Excellent analytical and problem-solving skills
- ~Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Preferred Requirement
- ~2-3 years' professional experience in data analysis, business intelligence, or a related field
- ~Experience with Microsoft Fabric or Azure Synapse Analytics
- ~Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate)
- ~Knowledge of accounting or financial services data structures
- ~Experience with API development and integration
- ~Familiarity with natural language processing techniques
- ~Understanding of data governance principles
- ~Experience in accounting or financial services data preferred (But not crucial)
- ~Experience with Agile project methodologies
- ~Excellent communication skills with the ability to translate technical concepts to business stakeholders
Data analyst / analyst employer: Orla Rose Associates
Contact Detail:
Orla Rose Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data analyst / analyst
✨Tip Number 1
Familiarise yourself with Microsoft Power Platform, especially PowerBI and Power Automate. Since these tools are crucial for the role, showcasing your proficiency through personal projects or online courses can really set you apart.
✨Tip Number 2
Brush up on your SQL and Python skills, as they are essential for data querying and analysis. Consider working on real-world datasets to demonstrate your ability to extract insights and solve problems effectively.
✨Tip Number 3
Network with professionals in the data analytics field, particularly those who have experience with Microsoft Fabric or Azure Synapse Analytics. Engaging in discussions or attending webinars can provide valuable insights and connections that may help you during the application process.
✨Tip Number 4
Prepare to discuss your experience with data quality issues and how you've addressed them in past roles. Being able to articulate specific examples will demonstrate your analytical skills and problem-solving abilities to potential employers.
We think you need these skills to ace Data analyst / analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, business intelligence, and the specific tools mentioned in the job description, such as PowerBI and SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analysis and how your skills align with the company's needs. Mention specific projects or experiences that demonstrate your ability to transform data into actionable insights.
Showcase Technical Skills: Clearly outline your proficiency in Microsoft Power Platform, SQL, and Python. Provide examples of how you've used these skills in previous roles, especially in developing dashboards or implementing data warehouse solutions.
Prepare for Potential Questions: Anticipate questions related to your experience with data quality issues, system integrations, and collaboration with business units. Be ready to discuss how you've addressed challenges in past projects and your approach to problem-solving.
How to prepare for a job interview at Orla Rose Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PowerBI, SQL, and Python in detail. Bring examples of dashboards or reports you've created, and be ready to explain the thought process behind your data analysis and modelling techniques.
✨Understand the Business Context
Research the company and its industry to understand their data needs. Be ready to discuss how your skills can help transform their data landscape into actionable insights that drive efficiency and decision-making.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Think of specific challenges you've faced in previous roles and how you overcame them, particularly related to data quality issues or system integrations.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to collaborate with various business units, practice explaining complex technical concepts in simple terms. This will demonstrate your strong communication skills and ability to bridge the gap between technical and non-technical teams.
