Data Analyst - LaunchOps

As a Data Analyst - LaunchOps at Voodoo, your main responsibilities will include conducting product playtests to refine gameplay mechanics, overseeing data tracking design and quality assurance, building and maintaining data pipelines, and developing dashboards that provide actionable insights into key metrics. You will drive data-driven decisions that shape game features and propose A/B tests to enhance player experience.

To qualify for the Data Analyst - LaunchOps role at Voodoo, you should have at least 2 years of analytical work experience, preferably in online gaming or a similar tech environment. A BA/B.Sc in Statistics, Mathematics, Engineering, or a related quantitative field is required, alongside strong skills in SQL and Excel. Familiarity with Tableau and advanced statistical knowledge will be an advantage.

As a Data Analyst - LaunchOps at Voodoo, you’ll work on various exciting projects that focus on user engagement and game feature development. From conducting product playtests to overseeing data collection processes, your work aims to optimize gameplay and enhance monetization metrics. Expect to collaborate closely with teams to drive insights that can dramatically impact the player experience.

Absolutely! At Voodoo, we believe in empowering our employees to grow and thrive. As a Data Analyst - LaunchOps, you will have opportunities to take on more responsibilities, lead projects, and explore new data-driven initiatives. Your insights could significantly influence our game development process, opening paths for career advancement within the gaming industry.

Voodoo offers a comprehensive benefits package for the Data Analyst - LaunchOps role, including a competitive salary, unlimited vacation days, premium healthcare coverage, wellness activities in our Paris office, and childcare facilities for families. We emphasize a healthy work-life balance to support our employees’ well-being.

When discussing your experience with data analysis tools, highlight your proficiency in SQL and how you've used it to work with large data sets. Mention any experience with Excel, especially in crafting formulas or pivot tables, and if applicable, share your familiarity with visualization tools like Tableau.

Discuss your methodical approach to conducting product playtests. Highlight how you set objectives, gather player feedback, analyze behavioral data, and present findings to improve game mechanics and user experience effectively.

Address strategies such as developing a clear tracking plan, conducting quality assurance checks before finalizing data collection processes, and working collaboratively with developers to ensure all necessary data points are captured accurately.

Share a specific example where your insights led to tangible results in a game feature or product decision. Describe the data you analyzed, the conclusion you reached, and how it influenced development or engagement.

Explain your understanding of A/B testing and provide an example of a test you conducted. Focus on how you formulated hypotheses, monitored key performance indicators, and used the results to make informed decisions.

Mention your commitment to learning through resources like industry blogs, webinars, and online courses. Also, emphasize any communities or networks in the gaming and data analysis fields that you’re part of.

Reflect on specific challenges, such as incomplete data sets or player segmentation, and describe how you overcame these by adjusting your analysis methods, collaborating with teams, or finding workarounds to gather more comprehensive insights.

Share your passion for gaming and data. Discuss how the dynamic nature of game development excites you and how you enjoy transforming complex data into actionable insights to enhance player experiences.

Explain how you focus on clarity and simplicity when presenting your data insights. Discuss techniques such as creating visually compelling dashboards, summarizing key takeaways, and using relatable analogies for non-technical stakeholders.

Discuss your preferred tools and the reasons behind them. If you favor Tableau, explain its strengths in visual presentation and how it helps communicate data insights effectively. Be prepared to share examples of visualizations you've created.