Posted on: 24 August 2023
ID 882391

Data Analyst

WHAT WE DO

We're Lula. We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts and cutting-edge financial analysis tools, we're on it!

Our purpose is to help SMEs manage their business better, faster, simpler, Lula, so they can spend more time doing what they love.

Speaking of love, were looking for Lulas who love to make a difference to join our team and change the game.

WHY WE DO IT

We care about our family, our work, our community, our country.

Were passionate about EMPOWERING EVERY SME TO SUCCEED.

And to do it, were BUILDING THE NEXT GENERATION OF FINTECH PRODUCTS TO HELP SMES MAKE CASH FLOW.

Why? Because the more businesses that succeed, the more jobs, money, and opportunities for all South Africans - including Y.O.U.

So get curious.

Rise to the challenge.

Dont settle for average.

Shoot for amazing.

Were here to change the game, the norm, the world,

Because when we change something for the better, we change ourselves too.

You are.

We are.

Lula

OUR VALUES
  • Collaborative - were a clan and work together as a team, always towards a common goal
  • Committed - were accountable and follow through no matter the challenge
  • Curious - we look for better ways to do things and make a positive difference
  • Connected - we stay close to, learn from and look to understand each other and our customers
  • Compassionate - we go out of our way to care about our colleagues, our customers and our community
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 Data Science 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
  • Investigate and resolve data issues by identifying issues and liaising effectively with appropriate business and tech teams
  • Transform and load 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 required data is made available within the data warehouse
  • Engage in regular interaction with internal stakeholders to ensure that theyre being kept up-to-date with respect to data insights
  • Ask questions or escalate to find solutions where appropriate
  • Co-ordinate and produce bespoke data sets
  • Process, cleanse, and verify the integrity of data used for analysis
  • Collaborate with Data Scientists and Data Engineers on several projects
THE COMPETENCIES WERE AFTER
  • Strong analytical skills with the ability to source, organise and analyse significant amounts of information with attention to detail and accuracy
  • Can work quickly and accurately, within reasonable deadlines
  • Effective communicator (verbal, written and interpersonal) and presentation skills
  • Analytical and problem-solving skills
  • Able to think creatively and relay insights from data
  • Ability to work well in a team as well as individually
THE SKILLS AND EXPERIENCE WERE 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 required to write and debug SQL, experience with functions, stored procedures, tables, views, etc.
  • 3+ years experience with PostgreSQL and MSSQL
  • 3+ years of Python experience
  • Experience with visualisation tools, Mixpanel and Google Data Studio will be advantageous
  • Excellent understanding of databases, data structures and concepts
  • Experience with Agile methodologies
Occupation:
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