Annual salary: up to £45,000.00

Business Intelligence Analyst

Offering a salary of up to £45,000, plus excellent company benefits.

Full time, permanent role; with the advantage of being; Office based, Hybrid or Remote for the right person.  

About the role:

As a Business Intelligence Analyst, you will be responsible for collecting, analysing, and interpreting data related to housing maintenance, customer satisfaction, and operational efficiency, ultimately contributing to the enhancement of our services, profitability and customer experience.

Key elements of the role will involve:

• Collect and organize data from various sources, including databases, data lakes, surveys, and reports.
• Analyse data to identify trends, patterns, and insights that can inform decision-making.
• Develop and maintain data models and reporting solutions to manage business performance.
• Create and present data-driven reports to support management in making informed decisions.
• Collaborate with other departments to gather data and insights relevant to housing maintenance operations.
• Conduct root cause analysis and provide recommendations to improve service quality and efficiency.
• Assist in the development of predictive models and forecasting related to maintenance needs.
• Stay up-to-date with industry trends and best practices in data analysis.
• Contribute to best-practice management of central data stores and distribution of any data assets.

Over the years Mears has continued to build upon its broad range of in house developed systems, the success of this has been built on the foundation of a brilliant and highly skilled development and test team.

Mears continue to push the envelope for their in-house solutions, delivering responsive, secure and performant applications across a varied mix of platforms. To support this, the business intelligence team play an active role in all stages of the data lifecycle from architectural design to generating actionable insight.

"All our roles require candidates to have the entitlement to work within the UK, Mears does not currently offer visa sponsorship."

Role Criteria:

• Proven experience in data analysis, preferably in a housing or property management context.
• Experience with data visualization tools (Power BI or similar, SSRS) is a plus.
• Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, Pyspark, R).
• Knowledge/experience of data science solutions (ML, statistical analysis).
• Knowledge of social housing maintenance practices and regulations is advantageous.

The successful candidate will have excellent communication and presentation skills, have the ability to work independently and as part of a team, have great attention to detail and a commitment to data accuracy and a strong analytical and problem-solving skills.

As Mears has a footprint across the country there will be a degree of travel expected to attend meetings and training.

Benefits:

• 25 days annual leave plus bank holidays
• Remote working
• Pension Scheme
• Sharesave - a simple way of saving money direct from your salary for 3 years, in order to buy Mears Group PLC (Mears) shares at a price that is fixed and discounted at the outset
• Employee Assistance Programme
• Mears Fun Day - Our annual Fun Day is organised as a massive thank you from the Executive team for all the hard work! Previous years include, Alton Towers, Drayton Manor etc
• Staff perks with Mears Rewards - discounts of up to 10% on coffee, weekly groceries, holidays, the list is endless
• Volunteering Leave - Mears supports employees to undertake volunteering in the community, in support of our social value commitment.
• Family friendly policy to include enhanced maternity/paternity leave and much more.

If you feel you have the skills needed, please apply below via the link. If you have any further questions please contact Vickie on [email protected] or 07843 817346, quoting the job reference number for further information.

Mears Group is a Disability Confident employer and recognises our people as our greatest asset, we hire individuality, recognising and valuing everyone is individual and ensuring equal access to opportunities for all regardless of social economic background or individual make up.

Candidates should be aware that all our roles are subject to relevant DBS/Security checks either before or upon commencement of employment.