Data Analyst


Are you a data whizz with hands-on experience of SQL and looking for a new, exciting opportunity??

At IN-SYNC, we’re passionate about helping self-employed people with their finances; our Group of companies provide a range of financial services and support to our self-employed customers. Our Data team are pivotal in translating a vast amount of data into a common, understandable, and valuable resource for end-users within the business, developing the use of data to drive business performance.

What you'll do

This is an exciting opportunity for a Data Analyst to join a fast-moving business where you’ll play a key part in helping to create and maintain a data warehouse and Azure automation processes, by delivering quality information, opportunities and reporting to the business.  Day-to-day, you’ll be processing and analysing financial data to generate sales leads, and drill down for client invoicing.

As a Data Analyst you will be regularly engaging and collaborating with various departments across the Group (Sales, Finance, Development), you’ll possess the ability to translate technical jargon into non-technical language and will have excellent interpersonal and communication skills.

We welcome applications from candidates with any of the following skills: Data Engineer, Data Analyst, SQL, Agile, PowerBI, Financial Data, Azure

What you'll need

If this sounds like something you're interested in, we'd love to hear from you if you have these skills:

  • Proven experience in data analysis
  • Excellent IT skills, including hands-on experience of SQL query writing, SQL analytics & SQL reporting services, with an advanced knowledge of Microsoft Excel.
  • Experience with SQL Management Studio & Visual Studio Business Intelligence
  • Ability to work pro-actively using own initiative
  • Exposure to Agile working practices
  • Commercially aware and focused, ideally with experience of working with financial data
  • Any experience with Azure Data Factory and/or Power BI would be beneficial

Apply Now

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Data Analyst

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