Data Analytics Manager
Posted on 9/12/2023
INACTIVE
SumUp

1,001-5,000 employees

Global fintech partner for small businesses
Company Overview
SumUp, a global fintech leader, stands out for its commitment to empowering small businesses, with over 4 million partners across 35 markets, and its dedication to social responsibility, pledging 1% of net revenue from Solo devices to environmental, educational, and entrepreneurial causes. The company's recent funding round, valuing it at $8.5B, underscores its financial stability and growth potential. SumUp's inclusive and supportive work culture is evidenced by its recognition as a Top Global Employer for LGBTQ+ and a Bronze Award recipient on the Stonewall Workplace Equality Index 2022.
Financial Services
Consumer Goods

Company Stage

N/A

Total Funding

$2.1B

Founded

2012

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

23%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Airflow
Snowflake
SQL
Tableau
Python
Looker
CategoriesNew
Data & Analytics
Requirements
  • 5+ years of full-time work experience in analytics engineering or a similar domain
  • At least 1 year of people management experience
  • Experience with Data warehouse and building data pipelines. Excellent data modelling skills and data warehouse concepts
  • Experience using DBT and Airflow or similar tools to build analytical models
  • Expert in both Python and SQL
  • First-hand experience with Snowflake or similar
  • Fraud & Risk experience (highly desirable)
  • Well-versed in modern data architecture and be confident working with large datasets at scale
  • You are passionate about analytics, data modelling and ETLs
  • Experience using Tableau Online, Looker, or similar visualisation / business intelligence platforms
  • Data informed decision making
  • Clear and efficient communication, coupled with evident enthusiasm for leading a team and helping people grow
Responsibilities
  • Drive and improve data driven decision making in risk and compliance
  • Understanding business environment and product(s)
  • Understand the evolving risk and compliance needs (internally & externally)
  • Drive building of data insights to help the operational teams take the right decisions, enabling good and stopping bad in all our checkpoints
  • Defining and analysing datasets, building dashboard with key KPIs, metrics and performance indicators
  • Developing strategies for effective data analysis, reporting and insights
  • Liaise between product, business and data science teams to ensure that business requirements are understood and prioritised accordingly
  • Provide thought leadership on how we present and use data and how we can improve
  • Raising awareness of the Risk & Compliance tribes performance across the organisation