Data Analyst L3

Career Opportunity Libro Credit Union is growing!

Join Libro Credit Union as a full-time Data Analyst - London Administration

At Libro Credit Union, every employee and every customer are members. Everything we do is about strengthening financial well-being for a better tomorrow.

As a Certified B Corporation©, we use business as a force for good. That means:

• Empowering people to live their most fulfilled lives.
• Supporting businesses and communities to thrive.
• Caring for the planet and economic growth through sustainable practices.

Libro invests in our employee’s development and career ambitions. We value candidates who are accountable, courageous, inclusive, driven to perform and have a passion for supporting people, local business and communities in strengthening their financial well-being.

We are currently hiring a full-time Data Analyst to support our London Administration team. This job posting is for an existing vacancy.

The Data Analyst’s primary responsibility is to lead research and analytic activities to solve a wide range of business problem. They will retrieve and gather vast amounts of data, organize it and use it to reach meaningful conclusions. They will exercise their knowledge of statistical techniques, analytics skills and database analysis tools and techniques to develop strategic insights to drive business goals.

Data Analyst are more excited about what they can learn with data, than they are about what is already known.

The base salary will be determined based on skills, experience, qualifications, education/training and internal equity. Our compensation practices are equitable and transparent, and support progression through the salary range as employees grow in the role.

• Collaborate with Internal partners to develop and execute research and analysis for strategic projects.
• Contribute to enhancing the validity, reliability and accuracy of data and information utilized in support of business initiatives.
• Source, manage and implement data from third parties, as required.
• Data analysis, mining, modelling, cleansing, migration and mapping.
• Collect, review, analyze, evaluate and prioritize reporting requirements.
• Develops and implements report specifications including coding, testing and implementation into production environment.
• Create datasets and/or reports for high-level analytics, including but not limited to data cubes for modeling trends, business reviews and/or analytics.
• Present your findings with good presentation through meetings and/or presentations.
• Ensures high quality automation techniques are applied and detailed procedures are in place
• Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets.
• Advise on current development tools and their best uses. Research new technologies to understand and make recommendations where these technologies may help solve business requirements.
• Develop strategies for data related glossaries, data dictionaries and data flow diagrams with deep understanding of data governance in mind.
• Work collaboratively with strategic, third-party partners and vendors on analytical requirements projects.
• Provide expertise to other departments to analyze data, develop statistical models, and make recommendations on initiatives and projects.
• Manage and/or provide guidance to junior members of the analytics team.

• Graduate or postgraduate university degree in Computer Science, Mathematics, Statistics, with 5-7 years of experience in systems analysis, programming, database management, and extensive business knowledge.
• Extensive experience solving analytical problems using quantitative approaches and working with complex, high-volume, high-dimensional data from multiple sources.
• Advanced skills with SQL Server Management Studio, including stored procedures, views, functions, and ad hoc database queries, MS SQL Server Reporting Services.
• Recognized expertise in one or more reporting/visualization tools, such as Tableau, Power BI, or Power Pivot/Map.
• Advanced MS Excel skills, including pivot tables, graphs, mathematical formulas, and statistical add-ins.
• Strong analytical and coding…