Data Analyst
3 weeks ago
Michelle Denny Recruitment Ltd is partnering with a rapidly expanding insurance business to find a skilled Data Analyst to join their dynamic team.
This role offers flexibility, allowing for hybrid or office-based work depending on your preference. With a competitive salary of up to £45,000, plus additional company benefits and opportunities for career progression, this is an excellent opportunity to grow your career.
The office's location is ideal for an easy commute, just a short distance from Diss train station on the main London route between Norwich and Ipswich. As a Data Analyst, you will play a pivotal role in the company, analyzing activity data, investigating trends, and making actionable recommendations to support business operations across all departments.
Key Responsibilities:
- Use SQL to build, maintain, and optimize complex data sets and associated reports
- Manage the ETL process, adapting and troubleshooting as needed to ensure data consistency
- Conduct data quality assessments, identify gaps, and perform remediation actions
- Communicate with stakeholders to understand data content and business requirements
- Prepare reports and create data dashboards, graphs, and visualizations for various audiences within the company
- Produce and track key performance indicators
- Use statistical tools to analyze data and forecast trends with actionable business insights
- Contribute to a continuous improvement strategy by proactively identifying data issues, investigating errors, fixing root causes, and recognizing improvement opportunities
- Stay updated on technology changes within the BI industry
Requirements:
- Proven experience in data analysis
- Proficiency in MS SQL
- Experience with Azure and other data tools
- Strong knowledge of Power BI, including DAX
Personal Qualities:
- Bonus Skills (Desirable):
- Proficiency in Excel, including VBA experience
- Experience with statistical software packages (R, SPSS, SaS, Stata)
- Understanding of Python or other relevant coding languages
- Knowledge of PowerShell and SharePoint
- Experience with Data Warehousing
- Degree in software engineering, computer science, Business Intelligence, Data Science, Advanced Analytics, or a related field
As part of a dynamic and hardworking team, you'll have the opportunity to grow your career as the company continues to expand. To discuss the role in more detail, please contact Michelle Denny for more information, or simply apply online.
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