Data analyst

Archnine

United Kingdom

On-site

GBP 40,000 - 60,000

Full time

14 days+

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Job summary

Archnine is seeking a detail-oriented Data Analyst to transform data into actionable insights across Healthcare, Insurance and Logistics sectors. You will query databases with SQL, build dashboards in Power BI, and leverage Python for advanced analyses.

You will collaborate with cross-functional teams, manage data-related projects, and create clear reports with Visio. Strong communication and agile mindset are essential.

Qualifications

  • Proven experience in data analysis with a strong grasp of statistical methods and tools.
  • Proficiency in SQL is essential; experience with database design is highly desirable.
  • Familiarity with Power BI for interactive visualisations is preferred.
  • Knowledge of Python programming is advantageous for complex data tasks.
  • Strong project management skills and ability to manage multiple projects with deadlines.
  • Excellent communication skills and ability to present complex information to stakeholders.
  • Experience in business analysis or related fields would be beneficial.
  • Certifications in Scrum/Product Owner are an added advantage.

Responsibilities

  • Conduct thorough data analysis to identify trends, patterns, and insights informing business strategies.
  • Utilise SQL to query databases and extract relevant datasets for analysis.
  • Develop and maintain dashboards using Power BI to visualise KPIs and other metrics.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Assist in database design to ensure efficient storage and retrieval of data.
  • Create detailed reports using Visio to present findings clearly.
  • Oversee data-related projects from inception to completion with project management skills.
  • Use Python for data manipulation and analysis tasks as required.
  • Engage in business analysis to align data initiatives with organisational goals.
  • Contribute to agile methodologies and set standards across the function.

Skills

SQL
Power BI
Python
Data analysis
Statistics
Project management
Communication skills
Business analysis
Agile methodologies
Scrum / Product Owner

Tools

Visio

Job description

Job code: 7389142

Description:

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will possess strong data analysis skills and a passion for transforming data into actionable insights. As a Data Analyst, you will play a crucial role in supporting business decisions through the effective use of data, ensuring that our organisation remains competitive and informed.
Duties
Conduct thorough data analysis to identify trends, patterns, and insights that can inform business strategies.
Utilise SQL for querying databases and extracting relevant data sets for analysis.
Develop and maintain dashboards using Power BI to visualise key performance indicators (KPIs) and other critical metrics.
Collaborate with cross-functional teams to understand their data needs and provide analytical support.
Assist in database design to ensure efficient storage and retrieval of data.
Create detailed reports using Visio to present findings in a clear and concise manner.
Employ project management skills to oversee data-related projects from inception to completion.
Use Python for advanced data manipulation and analysis tasks as required.
Engage in business analysis to align data initiatives with organizational goals.
Domain expertise in Healthcare, Insurance & Logistics is an added advantage.

  • Contribute to agile methodologies across functions, setting standards across the function and ensuring these standards and methodologies are followed
  • Work with Service Owners and Delivery Managers to ensure requirements are effectively scoped, split and prioritised
  • Take responsibility for the quality and accuracy of requirements and user stories for the service
  • Understand and analyse the business domain by developing models to articulate the data needs
  • Contribute to the definition of success metrics and support mechanisms for monitoring data through the life cycles of services
    Experience.
  • Proven experience in data analysis, with a strong understanding of statistical methods and tools.
  • Proficiency in SQL is essential; experience with database design is highly desirable.
  • Familiarity with Power BI for creating interactive visualizations is preferred.
  • Knowledge of Python programming is advantageous for handling complex data tasks.
  • Strong project management skills, with the ability to manage multiple projects simultaneously while meeting deadlines.
  • Excellent communication skills, capable of presenting complex information clearly to stakeholders at all levels.
  • Previous experience in business analysis or related fields would be beneficial.
  • Certifications in Scrum/Product Owner is an addedadvantage.
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