Analytics Engineer

This role offers an exciting opportunity for a budding Analytics Engineer to join JUMO, a forward-thinking organisation committed to digital inclusion. You'll be an integral part of the data team, contributing to the insights that drive business decisions and external partnerships. Reporting to the Data Modelling & Reporting Team Lead, you will collaborate across various departments, including Product, Technology, Finance, and Marketing, as well as with external collaborators. Your work will directly impact the understanding and resolution of real-world challenges by leveraging data.

About the role

As an Analytics Engineer at JUMO, your primary focus will be supporting the Senior Analytics Engineers within one or more of JUMO's diverse functional data domains. This involves a deep engagement with data, uncovering insights, and ensuring data quality. You will be instrumental in bridging the gap between raw data and actionable business intelligence, serving both internal teams and external partners with critical data requests and analyses. The role demands a proactive approach to understanding complex data landscapes and a keen eye for detail in identifying and resolving data discrepancies.

Your responsibilities will be varied and dynamic, requiring a blend of technical skill and business acumen. You will:

• **Collaborate extensively:** Work closely with a wide array of stakeholders, including Product Owners, Data & Prediction teams, Finance, Marketing, and external partners. This collaboration is key to understanding their needs and how data can address their real-world problems.
• **Investigate and analyse data:** Dive deep into data warehouses and other operational data stores to understand their structure, identify issues, and perform ad-hoc data extractions. A comprehensive understanding of the end-to-end architecture within your assigned functional domain will be essential.
• **Ensure data quality:** Conduct thorough quality assurance checks on existing and newly introduced data sets and pipelines. Your aim will be to detect inconsistencies and anomalies, guiding data cleansing initiatives and problem resolution efforts.
• **Support stakeholders:** Utilise advanced data querying and discovery skills to address immediate analytical needs for both internal teams and external partners. This includes supporting their strategic objectives and operational requirements.
• **Define and build reports:** Clearly articulate reporting needs and translate them into functional operational reports and strategic dashboards that provide valuable insights.

What they're looking for

JUMO is seeking candidates with a solid foundation in data analysis and a passion for problem-solving. Ideal candidates will possess:

• **Experience:** Between 3 to 5 years of experience in data or systems analysis, with a significant portion gained within a formal Business Intelligence environment.
• **Education:** A university degree in a relevant field such as Business, Finance, Mathematics, Statistics, or Informatics, or equivalent industry training and practical experience.
• **Analytical skills:** Proven ability in analytical thinking, business process analysis, and effectively communicating recommendations to diverse audiences across all organisational levels.
• **Technical proficiency:**
• A practical understanding of data processing and storage principles.
• Hands-on experience with relational database management systems (e.g., MySQL, PostgreSQL, Redshift, SQL Server).
• Demonstrated ability to write complex SQL queries for data retrieval, analysis, and modelling.
• Advanced proficiency in Microsoft Excel.
• **Problem-solving:** A critical thinker capable of navigating ambiguity and tight deadlines, demonstrating resilience under pressure.
• **Proactiveness:** A self-starter with the ability to independently discover and comprehend intricate data domains.
• **Familiarity with tools:** Experience working with version control systems like Git (specifically GitHub) and project management tools such as Jira, or similar platforms.
• **Methodology knowledge:** An understanding of Data Governance principles, Agile methodologies, and quality assurance standards.

This role is ideal for someone looking to grow their career in data analytics within a dynamic fintech environment. In South Africa, Analytics Engineers can expect competitive salaries, often ranging from R400,000 to R700,000 annually, depending on experience and the specific company. Major employers include financial institutions, e-commerce companies, and technology firms. Career progression typically leads to Senior Analytics Engineer, Data Scientist, or Analytics Manager positions.

• 3-5 years experience with data and/or systems analysis experience, at least some within a formal BI environment.
• University degree in either Business, Finance, Mathematics, Statistics, Informatics or equivalent industry training and experience.
• Proven ability in analytics, business process analysis and presenting / communicating recommendations across all organization levels.
• Real-world understanding of data processing and storage.
• Relational database management systems experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.
• Proven ability to write complex data queries (any desired language) to retrieve data for analysis, modelling and solving complex business scenarios.
• Ability to self-discover and understand complex data domains.
• Advanced Excel skills.
• Understanding of Data Governance, Agile methodologies and QA standards.
• Critical thinking under pressure with ambiguity and tight deadlines
• Experience working with Github and JIRA or similar task or project management tools.