Data Analyst

11 hours ago

Warrington, Warrington, United Kingdom United Living Group Full time
Job Title: Data Analyst

United Living Group is seeking a skilled Data Analyst to join our Central Services function. As a Data Analyst, you will play a critical role in gathering, analyzing, and interpreting data to provide actionable insights that support business decisions.

Key Responsibilities:
  • Collect, process, and analyze data from various sources to inform business decisions.
  • Develop and maintain dashboards and reports using Power BI to provide real-time insights.
  • Write and optimize SQL queries to extract and manipulate data for analysis.
  • Collaborate with various departments to understand their data needs and provide solutions.
  • Perform data validation and quality checks to ensure accuracy and reliability of analysis.
  • Present data findings and insights to stakeholders through clear and concise reports and presentations.
  • Identify trends, patterns, and anomalies in data to inform strategic decisions.
  • Support the implementation of data analytics best practices and methodologies within the organization.
  • Provide training and support to team members on data analytics tools and techniques.
Requirements:
  • Bachelor's degree or relevant experience in Data Science, Statistics, Computer Science, Information Systems, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficient in Power BI and SQL, good understanding of DAX and PowerQuery.
  • Advanced Excel skills including knowledge of formulas, Pivots, PowerPivots and PowerQuery.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication skills, with the ability to present complex data in a clear and concise manner.
  • Experience with data visualization techniques and tools.
  • Knowledge of data warehousing and ETL processes is a plus.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong problem-solving skills and a proactive approach to identifying and addressing data issues.

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