Data Analyst at Lulalend

OVERALL PURPOSE

• We are looking for a confident Data Analyst to join our team. This role calls for an inquisitive and discerning individual with a true passion for data.
• As a member of the BizOps Analytics team, your primary focus will be to extract valuable insights from data, and create visualisations and reports for internal stakeholders, with a heavy focus on data quality and governance. You will not only enable enhanced business performance through data-driven insights, but also help us make smarter decisions to deliver even better products.

Responsibilities will include:

• Analyse the stakeholder reporting requirements from a data and functional perspective
• Identify, analyse and interpret trends in data sets and provide actionable insights
• Investigate and resolve data issues by identifying issues and liaising effectively with appropriate business and tech teams
• Build and maintain dashboards and reports using data visualisation packages.
• Transform, load and ensure smooth integration of the data into our standard database structure
• Aggregate or consolidate data while maintaining quality assurance of data output to stakeholders
• Monitor production runs to ensure accuracy and on-time delivery of reports
• Adjust, maintain and configure existing ETL processes to ensure efficient data flow within the data warehouse
• Engage in regular interaction with internal stakeholders to ensure that they’re being kept up-to-date with respect to data insights
• Ask questions or escalate issues when necessary to find solutions where appropriate
• Co-ordinate and produce bespoke data sets tailored for specific business needs
• Process, cleanse, and verify the integrity of data used for analysis
• Collaborate with Data Scientists, Analytics Engineers and Data Engineers on several projects

THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

• BSc degree or similar field (or equivalent)
• Demonstrated work experience in data analysis and reporting within financial services or the fintech space
• Strong SQL skills (3+ years experience) – required to write and debug SQL, experience with functions, stored procedures, tables, views, etc.
• 2+ years of Python experience. Particularly data-related packages such as Pandas and Numpy.
• Experience building business dashboards
• Understanding of version control tools like Git and Github.
• Experience with DBT and Snowflake is a bonus.
• Excellent understanding of databases, data structures and concepts
• Experience with Agile methodologies