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For Companies At a Glance
- Tasks: Analyse data to uncover trends and provide actionable insights for strategic planning.
- Company: Join a leading IT services company focused on data and analytics.
- Benefits: Competitive hourly rate, flexible working hours, and opportunities for skill development.
- Why this job: Make a real impact by transforming business visions into data-driven solutions.
- Qualifications: Experience in Business Intelligence and strong knowledge of Microsoft Azure tools required.
- Other info: Collaborative environment with opportunities for career advancement.
The predicted salary is between 54 - 73 £ per hour.
3-Month Contract – Inside IR35 – up to £72.66 per hour – 37.5 hours per week
Overview
Reporting to the Principal Data Analyst, the Senior Data Analyst is a senior role in the Data, AI and Advanced Analytics Team.
Responsibilities
- Understand the vision of the business and translate that vision into understandable requirements for the data engineers.
- Interact with business users and subject matter experts, project management, technical development, quality assurance and end users.
- Conduct in-depth data analysis to uncover trends, patterns and actionable insights.
- Assist in forecasting and predictive modelling to support strategic planning.
- Translate business questions into analytical frameworks and data queries.
- Understand and document complex business processes in an environment having many Enterprise Applications used by various sectors.
- Exceptional cross-team collaboration and communication.
- Partner with key stakeholders in the organisation to drive role clarity and effective cross-team collaboration.
Qualifications
- Strong understanding of Business Intelligence concepts like data warehouse, data platform, reports, dashboards.
- Strong understanding and working knowledge of Microsoft Azure artifacts related to Data & AI like Azure Synapse, Azure SQL Server, Azure Analysis Services, Power BI, Azure Data Lake.
- Experience with a variety of relational database servers is preferred – Oracle, SQL Server required.
- Proven ability to capture customer requirements and map them to existing enterprise systems needs to technical solutions.
- Significant experience in data conversions and master data management experience defining, testing, and troubleshooting JD Edwards.
- EnterpriseOne/Oracle EBS to 3rd party system data interfaces required.
- Empathy, curiosity, and desire to constantly improve, acquire new skills and drive for results.
- Demonstrated competency in project planning and delivery.
Education
- Bachelor's degree in computer science, computer engineering, finance, or equivalent education and experience may be substituted for a degree.
- A significant number of years of experience in a JD Edwards EnterpriseOne ERP or Oracle EBS environment with significant hands-on business experience working and supporting in finance, capital asset management or procurement modules required.
Experiences
- Prior work experience in capturing business requirements for complex data platform/Business Intelligence solutions required.
- Active involvement in the delivery of BI related solutions to real world applications required.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT System Data Services
Senior Data Analyst in London employer: Advanced Resource Managers
Contact Detail:
Advanced Resource Managers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data analytics. We recommend practising common interview questions and scenarios related to data analysis, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and match your skills, making it easier to tailor your approach and stand out from the crowd.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data analysis, BI concepts, and any relevant tools like Azure and Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your previous experiences have prepared you for this role. Let us know how you can contribute to our team!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially if they relate to data conversions or BI solutions!
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. We can't wait to see what you bring to the table!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft Azure tools like Azure Synapse and Power BI. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the technologies they'll expect you to work with.
✨Understand Business Needs
Prepare to articulate how you translate business requirements into data solutions. Think of specific examples where you've successfully captured customer needs and mapped them to technical solutions. This will demonstrate your ability to bridge the gap between business and technical teams.
✨Showcase Your Analytical Skills
Be ready to discuss your experience with data analysis and forecasting. Bring examples of how you've uncovered trends or insights from data that have influenced strategic decisions. This will highlight your analytical mindset and problem-solving abilities.
✨Emphasise Collaboration
Since this role requires exceptional cross-team collaboration, prepare to share experiences where you've worked effectively with various stakeholders. Highlight your communication skills and how you've facilitated teamwork to achieve project goals.
