We are a leading fintech business undergoing a significant data transformation. We are seeking a Data Analyst with a passion for turning data into actionable insights and a keen eye for detail. This role is ideal for someone who is proficient in Microsoft Fabric, Power BI, and SQL, and is excited to work in a fast-paced, innovative environment.
This role is based on the outskirts of Newcastle City Centre and requires 2 days on-site working per week.
Day to day of the role:
- Interpret data and analyze results using statistical techniques, and provide ongoing reports.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Work closely with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Create data dashboards, graphs, and visualizations using Power BI.
- Utilize Microsoft Fabric to manage and maintain data integrity and security.
Required Skills & Qualifications:
- Proven working experience as a Data Analyst or Business Data Analyst.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages (Power BI), databases (SQL), programming (XML, Javascript, or ETL frameworks).
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
Benefits:
- Competitive salary and benefits package.
- Opportunity to be part of a significant data transformation in a leading fintech company.
- Work in a dynamic, collaborative, progressive, and high-performing team.
- Access to the latest tools and technologies.
- Professional development and career growth opportunities.
To apply for the Data Analyst position, please submit your CV and cover letter detailing your relevant experience and why you are interested in this role.