Business Intelligence Analyst
Salary: 35,000 - 45,000 GBP per year
At Mears Group, we are looking for a Business Intelligence Analyst!
Our tech stack: Azure, Business Intelligence, Cloud, Support, PLC, Power BI, Python, PySpark, SQL, Security, SSIS.
Requirements:
A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is advantageous but not essential. Proven experience in data analysis or a similar analytical role is essential, preferably in a housing or property management context. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, Pyspark, R). Knowledge/experience of data engineering tooling (SSIS, ADF, Synapse). Knowledge/experience of data science solutions (ML, statistical analysis). Knowledge/experience of cloud data platforms (Azure). Self-motivated and able to work under own initiative within agreed timescales. Strong visual design skills with great attention to detail. Experience working with Power BI is advantageous.
Your responsibilities are:
Collect and organize data from various sources, including databases, data lakes, surveys, and reports. Analyze 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 the distribution of data assets.
Mears Group - More about us and the role: We are offering an annual salary of up to £45,000, inclusive of excellent company benefits. This full-time, permanent role offers the flexibility of being office-based, hybrid, or fully remote for the right candidate.
As a Business Intelligence Analyst, you will be responsible for collecting, analyzing, and interpreting data related to housing maintenance, customer satisfaction, and operational efficiency, ultimately contributing to the enhancement of our services, profitability, and customer experience. At Mears, we have built a strong foundation with our skilled development and test teams, continually pushing the envelope for our in-house solutions.
We value excellent communication and presentation skills, the ability to work independently as well as part of a team, great attention to detail, and a commitment to data accuracy, alongside strong analytical and problem-solving capabilities.
Benefits include 25 days of annual leave plus bank holidays, remote working options, a pension scheme, a sharesave program, an employee assistance program, and opportunities to undertake community volunteering. We also have a family-friendly policy that includes enhanced maternity/paternity leave.
We are proud to be a Disability Confident employer, recognizing our people as our greatest asset and valuing everyone’s individuality. Candidates should be aware that all roles are subject to relevant DBS/Security checks before or upon commencement of employment. If you feel you possess the necessary skills, we encourage you to apply.
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Our tech stack: Azure, Business Intelligence, Cloud, Support, PLC, Power BI, Python, PySpark, SQL, Security, SSIS.
Requirements:
A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is advantageous but not essential. Proven experience in data analysis or a similar analytical role is essential, preferably in a housing or property management context. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, Pyspark, R). Knowledge/experience of data engineering tooling (SSIS, ADF, Synapse). Knowledge/experience of data science solutions (ML, statistical analysis). Knowledge/experience of cloud data platforms (Azure). Self-motivated and able to work under own initiative within agreed timescales. Strong visual design skills with great attention to detail. Experience working with Power BI is advantageous.
Your responsibilities are:
Collect and organize data from various sources, including databases, data lakes, surveys, and reports. Analyze 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 the distribution of data assets.
Mears Group - More about us and the role: We are offering an annual salary of up to £45,000, inclusive of excellent company benefits. This full-time, permanent role offers the flexibility of being office-based, hybrid, or fully remote for the right candidate.
As a Business Intelligence Analyst, you will be responsible for collecting, analyzing, and interpreting data related to housing maintenance, customer satisfaction, and operational efficiency, ultimately contributing to the enhancement of our services, profitability, and customer experience. At Mears, we have built a strong foundation with our skilled development and test teams, continually pushing the envelope for our in-house solutions.
We value excellent communication and presentation skills, the ability to work independently as well as part of a team, great attention to detail, and a commitment to data accuracy, alongside strong analytical and problem-solving capabilities.
Benefits include 25 days of annual leave plus bank holidays, remote working options, a pension scheme, a sharesave program, an employee assistance program, and opportunities to undertake community volunteering. We also have a family-friendly policy that includes enhanced maternity/paternity leave.
We are proud to be a Disability Confident employer, recognizing our people as our greatest asset and valuing everyone’s individuality. Candidates should be aware that all roles are subject to relevant DBS/Security checks before or upon commencement of employment. If you feel you possess the necessary skills, we encourage you to apply.
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