Data analyst

1 week ago

Diss Norfolk, United Kingdom Michelle Denny Recruitment Ltd Full time €45,000

Michelle Denny Recruitment is partnering with an expanding insurance business headquartered in Diss to find an experienced Data Analyst to join their close-knit team.
This role offers flexibility, allowing for hybrid or office-based work depending on your preference. With a salary of up to £45,000, plus additional company benefits and opportunities for career progression, this is an excellent opportunity.

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. It is essential that you live in the East Anglia region as this position is not open to candidates living outside the area and is not a remote role.

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.

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

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 Lewis Barclay for more information, or simply apply online.

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