Data Analyst at Roundpeg - United Kingdom (Hybrid)

Description
Roundpeg is seeking a Data Analyst to join a well-known LEAN consultancy that supports organisations from healthcare to manufacturing, providing effective solutions for operational problems. Your role will be to help explore the data to help build tools and solutions that bring clarity, insight, and agility. No day is the same, as you will be juggling multiple complex projects!

In this pivotal role, you will analyse data sets to uncover insights and trends that inform both internal and external business strategies and decisions.

Responsibilities:

• Gather, process, and analyse large sets of complex data to identify patterns and trends.
• Create and maintain reports and dashboards that showcase key performance metrics.
• Work with cross-functional teams to understand business needs and provide data insights to support decision-making.
• Ability to create tools to help solve business problems and provide quick, practical solutions
• Ensure accuracy and integrity of data by implementing data quality checks.
• Use statistical techniques to interpret data, identify correlations, and provide actionable recommendations.
• Assist in conducting market research and competitive analysis to inform product development and marketing strategies.

Requirements

• Expert Excel skills - you can build tools quickly, troubleshoot with ease, and help teach others
• Experience with data visualisation tools (e.g., Tableau, Power BI) to create insightful reports and dashboards.
• Strong knowledge of data analysis tools and languages such as SQL, Python, or R.
• Proven experience as a Data Analyst or in a similar analytical role.
• Ability to work across multiple projects and juggle changing priorities
• Excellent problem-solving skills and attention to detail.
• Strong communication abilities to present findings to stakeholders.
• Ability to work both independently and collaboratively within a team environment.
• Familiarity with statistical analysis techniques and methodologies.