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Data analyst

Manchester
Permanent
Data analyst
£28,640 a year
Posted: 3 May
Offer description

Description We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. In this role, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports that help drive business decisions. The ideal candidate will have a strong analytical mindset, proficiency in data manipulation tools, and the ability to communicate complex findings clearly to stakeholders. You will work closely with various departments to collect and interpret data, identify trends, and provide actionable insights that improve operational efficiency and support strategic initiatives. This position demands a proactive approach to problem-solving and keen attention to detail, enabling the company to leverage data as a powerful tool for growth. If you are passionate about transforming data into valuable business intelligence and enjoy collaborating with diverse teams, this is the perfect opportunity for you to advance your career in a supportive and innovative environment. Responsibilities Collect, process, and perform data analysis to identify trends and patterns. Develop and maintain dashboards and reports to communicate insights effectively. Collaborate with cross-functional teams to understand data needs and deliver solutions. Utilize statistical techniques to interpret data sets and provide actionable recommendations. Identify data quality issues and work with data engineering teams to resolve them. Support decision-making by presenting data findings to stakeholders clearly and concisely. Continuously improve data collection methods and analysis processes for greater efficiency. Requirements Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field. Proficiency in data analysis tools such as SQL, Excel, and visualization software like Tableau or Power BI. Strong knowledge of statistical methods and data modeling techniques. Experience with programming languages like Python or R for data analysis. Excellent problem-solving skills and attention to detail. Ability to communicate complex data findings in a simple and effective manner. Proven ability to work collaboratively within a team and manage multiple projects simultaneously.

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