Data Analyst

Hanson Lee; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading consultancy is seeking a Senior Data Analyst to enhance data solutions using Azure Services. The role involves analyzing data, optimizing collection methods, and collaborating with stakeholders. Ideal candidates should have a strong data analysis background with expertise in statistical techniques and modern visualization tools.

Qualifications

• Proven experience as a Business Data Analyst.
• Strong knowledge in data models and analytics tools.
• Experience with large datasets and statistical techniques.

Responsibilities

• Interpret and analyze data to provide reports.
• Develop and implement data collection systems.
• Identify new process improvement opportunities.

Skills

Statistical Analysis

Data Modeling

Data Visualization

ETL Frameworks

Data Mining

Tools

Power BI

Tableau

SQL

Business Objects

Hadoop

Spark

Job description

My client are 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: Permanent and Contract Options

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