About Us
We are RiseUp, and our mission is to help people feel good about money. We’re building a financial product that simplifies everything related to money.
We care deeply about how our product looks, feels, and, most importantly, impacts the lives of our customers. We are creating an uplifting and empowering new user experience for money.
In short, we have an incredible mission, an amazing team, and a fantastic product!
By connecting to all your household accounts and using advanced AI, RiseUp provides users with a simple, real-time view of their cash flow and personalized recommendations on how to improve their disposable income. RiseUp improves customers’ disposable income by more than £300 per month on average.
The role:
We are looking for a Senior Data Analyst to join our team and become one of the technical leaders of Data in RiseUp.
- RiseUp has a huge variety of financial data on customers and financial transactions. The Data Analysis will help us analyze this data and drive insights and recommendations from the data.
- The Data Analyst will support management and the organization by providing data, dashboards, analysis, and insights about various organizational data.
- Cooperate with Data Scientists, R&D, Operations and other parts of the organization on data structure and pipelines to create the best data stores and processes.
- Lead data knowledge and standards/quality in the team.
Requirements
Must:
At least 5+ years of experience in the industry as a Data Analyst
- 3 years experience in SQL and database queries
- Knowledge of one or more of the tools:
Databases – rational databases(e.g. MySql/Postgress),
Mongo, BigQuery/redshift/snowflake
- Proven experience in working with Business departments in the industry (providing data insights and data analysis)
- Experience in building database schemas and data aggregations
- Experience in building business-focused reports from data
Innovative and gets-things-done
Advantages:
- Experience developing in Python – an advantage
- Relevant Academic Degree – an advantage
- Knowledge in statistics / AB-testing – an advantage
- Experience working in small startups and B2C companies – an advantage
- Building Data Pipelines and understanding database structures
- Knowledge of Machine Learning models and their usage from databases /working with Data Science teams – an advantage
What technologies do we use?
Databases: Mongo, BigQuery,
Systems: Stitch, Segment, Intercom, Split, Reporting tools
Data Processing Tools and languages: python, SQL
Data Science Models: Regressions, XGBoost, Deep Learning, LLM APIs (GPT etc)