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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time |
Company DescriptionThe UK is facing a housing crisis, and not everyone has the means to enjoy the security and stability of owning their own home. Our aim at Legal & General Affordable Homes is to transform the affordable housing sector. With a fast-growing pipeline of over 80,000 homes, were committed to investing in housing for all ages, social groups and tenures. Were collaborating with developers,housing associations and public sector bodies across the country to drive investment into the UKs affordable housing and social housing sector. Focusing primarily on the affordable rent, shared ownership and rent-to-buy markets, were striving to be the UKsleading private affordable housing provider, known for excellent service and quality homes. We want to have a positive economic and social impact on the regions and communities in which we work. Legal & General Affordable Homes is a subsidiary of Legal & General Capital, which focuses on growth opportunities and scale ups, and invests its long-term capital in sectors in need of investment and innovation. Job DescriptionWe now have a brand new permanent opportunity within Legal & General Affordable Homes for a Senior Data Analyst. You will be a key member of a small agile Data Operations team focused on delivering data solutions across the organisation. We need a team memberwho can operate effectively working in a fast-paced team, but also autonomously when required. The person will need to be able to build relationships with internal and external stakeholders and translate their requirements into data solutions. They will need to have the ability to communicate complex ideas to non-technical stakeholders and understandbroader business processes. They should be able to provide recommendations and implementations of best practices for data management and data quality for the organisation. It would be an advantageous to have experience with mentoring and coaching other dataanalysts and creating re-usable processes for others. QualificationsThe ideal candidate will be highly experienced with data migrations and wrangling data from disparate systems. They will be confident with designing and implementing complex data mappings, transformations, ETL processes, and data validations. Additionally,they will be skilled in creating data flow processes, automations, data analysis, data modelling, and ad hoc reporting.