Business Intelligence Developer

Introduction to the NRLA The National Residential Landlords Association is the UK's largest membership organisation for private residential landlords, supporting and representing over 100,000 members. The association was created from the merger of the RLA and NLA in April 2020. NRLA members range from full-time landlords running property portfolios to those letting single bedroom flats. Whatever their status, most landlords face the same regulatory and legal challenges, with over 150 pieces of legislation creating hundreds of legal obligations for the private residential lettings sector. In September 2023, the NRLA acquired Safe2, a provider of all forms of property safety certification. Safe2 provides landlords with a single compliance service to ensure gas, electrical safety and energy performance certificates are up to date. The NRLA is always looking for enthusiastic and ambitious people to join the team. Our colleagues work from either Central Manchester or Central London with the option to work hybrid between an office location and home. As a small/medium-sized company, we expect and require our people to be adaptable and flexible in their role and willing to try out innovative approaches and develop new skills. In return, we aim to provide a positive working environment where people can learn and develop with the support of other colleagues. Our members provide over 80% of our revenue and so their satisfaction is vital to our long-term success. Accordingly, we want to attract people who understand this and can always challenge themselves to try to deliver a better service. In return colleagues will receive a competitive salary and benefits package. This role is based in our office in central Manchester. Colleagues generally work from home four days per week and one day in our office. NRLA benefits are as follows: 25 days annual leave increasing to 26 days with 3 years’ service, 27 days with 5 years’ service and 28 days with 7 years’ service Additional annual day off for your birthday Salary Sacrifice Pension scheme Life assurance Cash plan health and wellbeing benefit including EAP and counselling service Company sick pay Cycle purchase loans, season tickets loans and interest free staff loans Complimentary NRLA membership Non contractual annual bonus scheme relating to individual and organisational performance The salary for this role is circa £45,000 per annum. Key Duties Create reports fit for purpose and to high standards using the Power BI Desktop application from centrally managed semantic models. Engage with users to scope work and translate their business requirements to technical specifications to be prioritised. Develop the Data Warehouse using ETL/ELT techniques and technologies to: Ingest new data from various sources inside and outside of the business in various formats and technologies. Transform data using industry standards and methodologies. Ensure data quality in the output and feeding back to source on quality issues. Have data in a presentable format for BI tools to consume. Complete ad hoc user requests for data and analysis Monitor production systems and resolve any problems Reporting to the Deputy Director to execute the data strategy, bring in new ideas and build a data culture in the business. Education and Experience Appropriate qualifications include: University degree or higher Completed apprenticeship in a relevant field Significant experience in a data related role for 3 years Demonstrable ability to create Power BI reports in the desktop app using DAX and Power query features Ideally have Microsoft certification in Power BI Experienced user SQL (any variant) in a work environment to query and manipulate data Some programming experience, ideally in Python Skills Proficiency in database management systems and BI technologies Confident in reading, writing and amending SQL statements Ability to visualise data in the best way for users to easily consume Always conscious about security and when handling personal information A person to question process and subjects Excellent written and verbal skills Strong people skills to work with and train users in using data and reporting Strong attention to detail and quality Ability to manage own workload Demonstrable personal development to keep up to date in technologies and processes in data Optional Skills and Experience Have used data science and statistical models Data Warehouse development using Kimball methodology Any experience in a Data Governance role Experience in training AI systems and LLMs The closing date for this role is 9am on 16th September 2024. However, we reserve the right to close it early if we have sufficient suitable candidates.