Data Analyst Position

4 weeks ago

Diss, United Kingdom Michelle Denny Recruitment Ltd Full time

Michelle Denny Recruitment Ltd is partnering with an expanding insurance business to find an experienced Data Analyst to join their team.

This role offers flexibility, allowing for hybrid or office-based work depending on your preference.

The company is headquartered in Diss, and 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.

The successful candidate 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:

  • Build, maintain, and optimize complex data sets and associated reports using SQL.
  • 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.
  • Refine, update, and distribute existing reports to ensure accuracy and relevance as the business evolves.
  • Use statistical tools to analyze data and forecast trends with actionable business insights.
  • Process and deliver solutions to internal customer requests and queries efficiently.
  • Contribute to a continuous improvement strategy by proactively identifying data issues, investigating errors, fixing root causes, and recognizing improvement opportunities.
  • Promote process automation and self-serve solutions.
  • Train end-users on new reports and dashboards.
  • Stay updated on technology changes within the BI industry.

Technical Skills and Experience:

  • 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:

  • Amiable and approachable nature.
  • Collaborative, team-oriented approach.
  • Strong problem-solving skills and critical thinking abilities.
  • Desire to contribute, grow, and develop with the business.

Bonus Skills (Desirable):

  • Proficiency in Excel, including VBA experience.
  • Strong mathematical and statistical knowledge.
  • 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.

In return, you will join a market-leading insurance business that offers full-service delivery to its clients during a period of significant growth.

As part of a dynamic and hardworking team, you'll have the opportunity to grow your career as the company continues to expand.

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