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Mace is seeking a highly skilled Data Analyst / Power BI Developer to join our dynamic team in London, England. In this pivotal role, you will be instrumental in transforming data into actionable insights that drive strategic decision-making across our organization. Your expertise in data visualization and analysis will not only enhance our operational efficiency but will also empower teams to make informed, data-driven choices that align with Mace's commitment to excellence in the technology industry.
As a Data Analyst / Power BI Developer, you will be responsible for designing and developing impactful dashboards and reports that convey complex data trends in a user-friendly manner. You will work closely with cross-functional teams to gather requirements, ensuring that the analytical solutions you create meet the diverse needs of our stakeholders. Your day-to-day tasks will involve data cleansing, modeling, and visualization, as well as collaborating on initiatives to improve data governance and quality.
The ideal candidate will possess a strong background in data analysis and visualization, with proficiency in Power BI and a solid understanding of SQL. A degree in a relevant field such as Data Science, Statistics, or Computer Science is preferred. You should be adept at problem-solving, possess exceptional analytical skills, and have the ability to communicate technical concepts to non-technical audiences effectively.
This opportunity at Mace is particularly exciting for those who are passionate about leveraging data to drive innovation. You will be part of a forward-thinking organization that values creativity and encourages professional growth. Join us and contribute to projects that redefine the technology landscape while enhancing your skills in a collaborative and supportive environment.
Requirements
* •Degree in Data Science, Statistics, or Computer Science
* •Strong background in data analysis
* •Experience in data visualization
* •Exceptional analytical skills
* •Ability to communicate with non-technical audiences
* •Passion for leveraging data
* •Interest in driving innovation
* •Commitment to professional growth