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Data Analyst.

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Remote
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Full time, 37 hours
Pund WHITE.png
Competitive 
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Pund WHITE.png
Competitive 

Do you have experience with analysing and extracting complex data? Do you want to be part of a workforce that has a clear mission to make meaningful change happen? 

 

If so, join Safe as Houses Care as a Data Analyst, where you will enjoy remote working as you work 37 hours a week. You'll be expected to travel across the UK for regular meetings (usually monthly/bi-monthly).

 

Working alongside the R&D team, you will conduct regular and ad-hoc data research and reports to drive strategy and enhance regulatory scrutiny, leveraging primary and secondary source data. 

 

Using data analysis software, you will optimise analytical tools to increase efficiency within the data team and develop new reporting procedures to increase data streams. You will work with system suppliers and internal stakeholders to improve the quantity, whilst maintaining quality, and performance measures for various business areas.

 

As a Data Analyst, you will use Microsoft, Power BI and Google Data Studio to build automated dashboards and reports based on data from multiple sources. These reports and dashboards will improve efficiency and identify future demand.

 

You will review data to identify issues, anomalies, stories, and trends. This will see you provide guidance and resolutions to ensure accuracy in reports and analyses. You will be responsible for creating data visualisations and intuitive graphics to present the results of complex analyses. 

 

At SAHPI, you will be part of the R&D team, which is led by the Research & Development Manager and includes a Business Analyst, Data Admin and three Research and Impact Officers. You'll be part of a wider team that has a strong commitment to creating a positive working environment and rewarding those for excellent performance. 

What you will be doing:

As a Data Analyst, you will need:

  • Perform detailed analysis on data from across the business, communicate insights, and make recommendations and future forecasts

  • Work collaboratively with the R&D team to help ensure maximum value from Safe as Houses Care tools and data

  • Monitor the accuracy and integrity of the incoming data by becoming the gateway between the data and the wider team.

  • Using data mining to extract information from data sets and identify correlations and patterns

  • Help plan, design, develop and implement data-driven models to provide historic analysis and performance forecasts and help present conclusions and recommendations.

  • Excellent interpersonal and communication skills are essential to effectively communicate at all levels

  • IT and organisational skills along with the ability to write concise letters a

  • Educated to degree level in a relevant subject (computing/programming/mathematics/statistics)

  • 1 – 2 years' experience in performing complex data extraction and analysis to deliver analytical models or reports to aid decision making

  • Advanced knowledge of PowerBI, SQL, Python and/or R.

  • nd reports when dealing with property issues

  • Understanding of building construction, valuation techniques

  • Experience in undertaking surveys, preparing specifications for a variety of building works

About Safe as Houses Care:

Safe as Houses Care was established with a very clear vision - to help alleviate the chronic lack of care facilities within the UK.

 

Our mission is to collaborate with and fund an evolving portfolio of dynamic partners which enables the creation and funding of high-quality accommodation and future-proofed environments.

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Each one of our property developments is aimed at enhancing the lives of society’s most vulnerable individuals in the most dignified way possible.

What you will get:

If successful, your employment will be subject to:

  • Competitive annual salary

  • Holiday entitlement of 35 days per annum inclusive of bank holidays and birthday

  • Remote or hybrid working

  • Pension scheme

  • Medical insurance

  • Generous Profit-Sharing Scheme

  • Discretionary annual pay review

  • Career Development Supported

  • Receipt of two references, one of which must be from your most recent employer

  • Confirmation that you are eligible to work in the UK

  • Satisfactory completion of the probationary period

Thank you! We’ll be in touch.

Apply now:

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