Data Analyst

4 weeks ago

London Area, United Kingdom Brown & Brown Europe Full time

Data Analyst

Location: Hybrid - London

Package: Negotiable + Benefits


The Data Analyst for Data Operations will be responsible for gathering, collating and analysing data issues and translating them into data and reporting needs, using technical expertise to ensure data accuracy and high-quality, whilst ensuring delivery deadlines meet business requirements. Working closely with the data operations team, business stakeholders and the wider data team in resolving operational and data issues.


The day to day:

You will be an experienced analyst who specialises in delivering Data Projects using Agile delivery methods and Data Operations function. Your primary responsibilities will include:

  • Working with a team of data analysts, engineers, and other specialists, You'll own or delegate tasks, ensure effective communication, and foster a collaborative work environment.
  • Working closely with business stakeholders to understand their data needs to ensure their expectations are met.
  • Plan and lead meetings with business and technical staff, documenting outputs, proactively seeking subsequent agreement and sign-off.
  • Share duties with the wider data operations team to ensure data is delivered accurately and on time to the business.
  • Ensuring data is delivered accurately, efficiently, and according to agreed-upon timelines
  • Serving as a point of contact for data operations activities. You'll clearly communicate progress, roadblocks, and solutions for activities to both technical and non-technical stakeholders and data engineers.
  • Identify opportunities for process improvements and efficiency gains


About you:

  • Degree educated in Computer Science or related field
  • Experience in data analysis within a technology team
  • Proficient in SQL, data visualisation tools and Excel
  • Experience with agile development methodologies
  • Experience with cloud computing platforms, preferably Azure
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Experience with data warehousing
  • Experience in the Microsoft stack - Azure Data factory, Azure Data Lake Storage, Azure SQL Server, Azure Power Platform, Power BI.

The rewards:

  • negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
  • collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff
  • flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one.
  • An environment built around supporting and developing our staff with funding available for relevant professional qualifications.

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