WHAT WE DO

Lula is an innovative and human-focused FinTech company on a mission to help small businesses optimise their cash flow. Our purpose is to help SMEs manage their businesses better, faster, and more simply, so they can spend more time doing what they love.
If you’re looking for a new place to call ‘home’ that believes in the potential of the broader SME landscape in South Africa and a place where you’ll work with awesome people - then Lula’s the place for you!

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.
• 3+ 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
  Please note that all appointments are subject to our background checking process, which may include Credit, Criminal and any other job inherent checks

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
• Transform, load and ensure smooth integration of the data into our standard database structure
• Acquire new data from various data sources and 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 and Data Engineers on several projects