Senior Data Analyst

Senior Data Analyst

Posted 4 days ago by iXceed Solutions

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Negotiable
Undetermined
Hybrid
London Area, United Kingdom
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Apache Spark Continuous Integration and Continuous Delivery Database Design Database Management Data Collection Data Mining Datamodel Data Modeling Data Profiling Data Visualisation Data Warehousing Distributed Computing Extensible Markup Language (XML) Extract Transform Load (ETL) General Insurance Generic Programming JavaScript (Programming Language) Management Market Trend Microsoft 365 Microsoft Azure Power BI Process Improvement Profiling (Computer Programming) Python (Programming Language) Reinsurance Report Writing Software Development SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software)

Summary: The Senior Data Analyst role requires a highly skilled professional with expertise in Azure Services to design and develop data solutions within the organization. The position involves interpreting data, analyzing results, and optimizing data collection systems while collaborating closely with management. The ideal candidate will have extensive experience in data analytics, database management, and statistical techniques, particularly within the reinsurance sector. Strong communication and collaboration skills are essential for interacting with stakeholders at all levels.

Key Responsibilities:

  • Interpret data and analyze results using statistical techniques, providing ongoing reports.
  • Develop and implement databases, data collection systems, and data analytics strategies.
  • Acquire data from primary or secondary sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and clean data by reviewing reports and performance indicators to correct code problems.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

Key Skills:

  • Proven experience as a Business Data Analyst.
  • Technical expertise in data models, database design, data mining, and segmentation techniques.
  • Strong knowledge of reporting packages (Business Objects, Tableau, Power BI) and databases (SQL).
  • Programming skills in XML, JavaScript, or ETL frameworks.
  • Experience with data visualization tools (Power BI, Tableau).
  • Demonstrated analytical skills with attention to detail and accuracy.
  • Experience with large datasets and distributed computing tools (Hadoop, Spark).
  • Knowledge of advanced statistical techniques and concepts.
  • 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.
  • Experience with CI/CD pipelines and understanding of Agile/Scrum methodologies is a plus.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Job Title : Senior Data Analyst

Primary skills: SQL, Python, Power BI/Tableau, Data Warehousing, Reinsurance

Work location : City of London (3 days a week)

Experience : 10 - 12 Yrs.

About the job

We are seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within our organization.

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
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