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For Companies At a Glance
- Tasks: Analyse data, develop solutions, and provide insights to optimise business performance.
- Company: Join a leading insurance consultancy focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful decisions in the insurance sector.
- Qualifications: Experience in data analysis, Azure Services, and strong analytical skills required.
- Other info: Contract role outside IR35 with potential for long-term collaboration.
The predicted salary is between 43200 - 72000 £ per year.
My client is an Insurance consultancy seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within their organization.
Role Type: Contract (Outside IR35)
Location: London/ Hybrid
Responsibilities:
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work closely with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
Requirements:
- Proven working experience as a Business Data Analyst.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.).
- Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.).
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).
- Experience with data profiling tools and processes.
- Knowledge of Microsoft Fabric is desirable.
- Professional experience as a Data Modeler/Data Architect in P&C insurance, preferably reinsurance.
- Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
Good To Have:
- Experience with CI/CD pipelines.
- Strong understanding of Agile/Scrum methodologies.
Senior Data Analyst - London Market, Insurance, Contract employer: Salescorp Marketing Solutions Pty Ltd
Contact Detail:
Salescorp Marketing Solutions Pty Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - London Market, Insurance, Contract
✨Tip Number 1
Familiarise yourself with Azure Services, as this role specifically requires expertise in this area. Consider taking online courses or certifications to boost your knowledge and demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the insurance consultancy field. Attend industry events or join relevant online forums to connect with others who can provide insights or even referrals for the Senior Data Analyst position.
✨Tip Number 3
Brush up on your statistical analysis skills, particularly in regression and data profiling techniques. Being able to discuss these concepts confidently during interviews will set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your experience with large datasets and distributed computing tools like Hadoop or Spark. Have specific examples ready that highlight your problem-solving abilities and how you've improved processes in previous roles.
We think you need these skills to ace Senior Data Analyst - London Market, Insurance, Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Business Data Analyst, particularly in the insurance sector. Emphasise your technical expertise with Azure Services, data models, and reporting packages like Power BI and Tableau.
Craft a Strong Cover Letter: In your cover letter, explain why you are a great fit for the Senior Data Analyst role. Mention specific projects where you've successfully interpreted data and developed data solutions, showcasing your analytical skills and attention to detail.
Highlight Relevant Skills: Clearly list your technical skills related to data analytics, such as SQL, ETL frameworks, and statistical techniques. Make sure to include any experience with large datasets and distributed computing tools, as these are crucial for the role.
Showcase Communication Skills: Since effective communication is key for this position, provide examples of how you've collaborated with stakeholders or presented findings in previous roles. This will demonstrate your ability to interact with various levels of management.
How to prepare for a job interview at Salescorp Marketing Solutions Pty Ltd
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Azure Services, SQL, and data visualisation tools like Power BI and Tableau. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your ability to interpret complex data sets and identify trends. Discuss how you have used statistical techniques to solve real-world problems in previous roles.
✨Communicate Effectively
Since the role involves working closely with management and stakeholders, practice articulating your findings clearly. Use simple language to explain complex data insights and ensure you can answer questions confidently.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you identified process improvements or optimised data collection systems, and be ready to explain your thought process and outcomes.
