Data is at the heart of YEGO to help serve riders as well as
internal team members. As a Data Analyst, you will provide quantitative
support, data understanding and a strategic perspective to all teams
such as Product, Operations, Marketing, Finance, City Expansion,
Engineering and Customer Support.
You will serve as an analytics
expert using data to make critical recommendations to the team
cross-function and help them shape their decisions. You will work on a
wide range of problems which need to be understood and solved, as well
as work on bringing a strong data mindset in all the areas of the
business.
We are looking for a self-driven, curious, and highly
logical individual to build our Data Analytics team. You will drive
strategic insights and detailed analytics decisions related to scaling
and optimizing our business. You should have strong analytical skills,
excellent communication abilities, and a knack for working across teams
in a fast-paced environment.
Here's what you'll do You'll work cross-functionally with some critical areas of the business:
- Operations.
You will optimise use of scooters throughout space and time and provide
analytical tools for the Operations team to be more independent in
their decision making
- Marketing and customer support.
You will help the team understand user patterns and behaviour
(acquisition & retention) as well as define key moments to create
promotions/actions, customer touchpoints and help bring transparency on
customer and rider support
- Product & Engineering.
You will help bring insights for new features or improvement, for the
user app, power rangers app, and the back office or any new
opportunities that arise. You'll also provide support in database
structure: make critical recommendations on how you would need it
structured to ease your analytical work
- Global: you will maintain, expand and improve your ETL (Extract-Transform-Load) process
- Data Team.
You will build a team, understanding the needs and creating the team's
structure, defining the roles, hiring and OnBoarding new members
Responsibilities - Identify opportunities with data, driving the company’s long-term data strategy
- Grow a high performing data team
- Establish
best practices in data engineering and analysis and embed a data
centric culture, helping data drive and verify decisions
- Implement the best tooling to help us scale our data infrastructure
- Collaborate
with cross-functional teams to understand their business needs,
formulate and complete analysis that includes: data gathering, analysis,
scaled deliverables, recommendations and presentations
- Build
the data flow from raw sources (internal database, external database) to
delivering visualisation graph, tables and maps to HQ teams
- Develop and automate reports/dashboards, iteratively build to provide insights on metrics to internal teams
- Initiate & contribute to a wide variety of research projects using statistical analysis
- Assist with ad-hoc queries and analysis
Qualifications - Data-driven with a strong analytical and problem-solving capability
- Minimum 3-4 years in a similar data & analytics role in a technological company
- Degree in Engineering/Statistics /Mathematics, or other quantitative fields
- Advanced proficiency in SQL and a data manipulation language, such as R or Python
- General knowledge of data analytics tools
- Passion to connect the data to the product development, marketing actions and business decisions
- Able to work in a fast-moving and collaborative environment
- Able to handle multiple projects effectively
- Good written and verbal skills with the ability to communicate effectively with all levels of employees and management
- Experience in Data Analytics linked to mobility or on-demand services will be highly valued
- Fluent English is a must, Spanish would be a plus
Sounds like you? You want to participate to
changing mobility for good into a cool, hassle-free and
environmentally-friendly experience? Then scroll down and apply!
Benefits - Private Health Insurance
- Unlimited YEGO
- Gym membership discounts
- Team building activities
- Flexible working hours
- Occasional home office