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 hands-on Data Analyst TL to join our team and become one of the data leaders at RiseUp.

RiseUp has a wide variety of financial data on customers and financial transactions. The Data Analysis team helps us analyze this data and derive insights and recommendations.

• The Data Analysts 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 at Riseup.
• Combination of hands-on work and leading a small team of data analysts.  
• Lead data knowledge and standards/quality in the team.

Requirements 

Must

At least 2 years managing Data analyst teams. 

• 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)