Data Analyst > ALMA > Joboolo FR :

Alma shapes the fintech landscape.


We strive to serve and empower consumers and merchants by developing innovative solutions that redefine their purchase experience.

About the job

As a member of our Central Data Analytics team, you'll hold a full stack and cross-functional position that bridges our data engineers and our business teams.


With a focus on Marketing, you'll play a crucial role in enhancing decision-making across the company.


Reporting directly to the Head of Data, you'll be instrumental in leveraging our data as a significant asset to outpace our competitors.

As a Data Analyst in the Central Data team, your key responsibilities are:

1. Build products that empower our teams to monitor key performance indicators and drive accountability, such as developing models and reports for revenue marketing streams (attribution modelling, budget definition), aiding in ROI measurement and spend optimisation.


2. Transform complex business problems into clear, data-driven solutions with actionable business outcomes.


3. Maintain high standards of data quality by owning data processes and best practices.


4. Help and train our business analysts to understand our data and use our tools.

Our technical stack:


GCP / BigQuery / Airflow / dbt / Looker / Metabase / Python

What makes you the perfect fit for the role?

Mandatory requirements:

• Education:
  
  
  Master's degree from an Engineering or Business school in relevant fields (Engineering, Statistics, Economics, Finance, Business).


• Experience:
  
  
  
  
  - 3 years of experience in a Data Analyst role.


• Language:
  
  
  Full professional proficiency in English; proficiency in French is a plus.


• Technical skills:
  
  
  Experience with data visualization tools (Looker, Tableau) and languages (SQL, Python), with a good understanding of data architecture principles.


• Communication:
  
  
  Excellent skills to convey complex findings clearly.

Soft skills:

• Autonomous, rigorous, and detail-oriented.


• Data-driven mindset:
  
  
  comfortable defining metrics for business decisions.


• Problem solver:
  
  
  loves investigating issues and root causes.


• Analytical mindset:
  
  
  able to break down big problems.


• Customer obsessed:
  
  
  empathizes with users to improve their experience.


• Entrepreneurial:
  
  
  ownership mindset and proactive attitude.

About the recruitment process

1. Phone interview with Recruiter (30 mins)


2. Interview with Hiring Manager and 1 Data Analyst (60 mins)


3. Take-home Business Case Study, followed by On-site / Remote presentation with 2 Data Analysts (60 mins)


4. Final interview with Head of Marketing Revenue (30 mins)