Analytics Engineer

As Analytics Engineer, you will support the Senior Analytics Engineers in one or more of the many functional data domains within JUMO. Working closely with the various stakeholders and Data engineers to enable you to service data requests both internally and to external partners. You will report to the Analytics Engineering Team Lead.

You will 

• 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.

We ask a lot of each other at JUMO, but we give a lot too. 

You will love

• 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

You will need

• 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.

Bonus if you have 

• 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.