Senior Data Analyst - Growth

VOODOO SAS
Paris, France
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Data Analysis Data Files Python (Programming Language) Machine Learning SQL Databases Tableau (Software) Data Management

Job description

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

Team

The Engineering \& Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games.

We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide.

Role

We’re looking for a Senior Data Analyst to join our Engineering \& Data team.

The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction.

We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.

This position is hybrid and requires 3 days per week in the office based in Paris.

  • Design, build and monitor data models \& dashboards to track business metrics

  • Work with cross-functional teams to identify key business needs and solve them using adequate statistical models

  • Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights.

  • Establish data quality processes to ensure the reliability and accuracy of our machine learning models.

  • Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support.

  • Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment.

  • Work closely with the central data team to source additional data and enhance data management practices

Profile

  • At least 4 years’ experience in Data Analysis

  • Proficient with SQL and/or Python, with a proven experience working with large and complex data sets.

  • Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail.

  • Experience with statistical modeling \& predictive analytics

  • Excellent verbal \& written communication abilities

  • Experience building dashboards with Tableau.

  • Experience in gaming industry or mobile marketing is a plus

  • Any personal or professional experience with machine learning will be valued

Our Stack

SQL; Python; DBT; AWS; Tableau

Benefits

  • Competitive salary based on experience

  • Swile Lunch voucher

  • Gymlib (100% covered by Voodoo)

  • Premium healthcare coverage with SideCare, 100% covered for you and your family

  • Wellness activities in our Paris office

  • Remote Fridays

Requirements

Management, Data Management, SQL, Python

Benefits & conditions

========

  • Competitive salary based on experience

  • Swile Lunch voucher

  • Gymlib (100% covered by Voodoo)

  • Premium healthcare coverage with SideCare, 100% covered for you and your family

  • Wellness activities in our Paris office

  • Remote Fridays

Management, Data Management, SQL, Python

About the company

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz., The Engineering \& Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on fr.engineering.jobs

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann +2 ¡ LIVE

3:38 min

Reusing email software standards for HTTP file uploads

Imran Nazar ¡ WWC 2023

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella ¡ WWC 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu ¡ WWC 2024

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph ¡ LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

Videos

See all

Related articles

See all