Analytics Engineer

About the Role

Analytics Engineer

Responsibilities

• Work closely with all stakeholders which will include technology platform Product Owners, Data & Prediction teams, Finance, Marketing and external partners to perform investigations on data warehouse and other operational data stores to understand and assist with the real-world problems we're trying to solve.
• Need to understand the end-to-end architecture of your functional domain and be able to deep dive into the data to resolve issues or perform ad-hoc extracts.
• Perform quality assurance on new and existing data sets and pipelines to discover inconsistencies, anomalies to guide problem resolution and data cleansing exercises.
• Use advanced data query and discovery skills for ad hoc analysis and support for both internal and external stakeholders.
• Need to be able to clearly define reporting requirements as well as the ability to build operational reports and strategic dashboards.
• 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.
• Experience in data environments making use of big data, data lakes, event-based streaming and API integrations.
• Experience with reporting and business intelligence software such as Tableau, Power BI, Grafana, Superset.
• Experience with tools such as Airflow and NiFi.
• Experience with end-to-end BI solution design and build.
• Experience in the FinTech industry.
• Collaborating with smart, engaging people in an inspiring work environment
• Working as one team towards our goal of financial inclusion
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• Using AI for good, ensuring more value for more customers
• A stack of leading-edge technologies