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Middle / Senior Data Analyst

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a Middle/Senior Data Analyst for PlayA

Location:  Remote

Job Type: Full-Time


About our client:

Playa AI is your trusted AI partner, helping iGaming platforms and operators increase player engagement and revenue. With years of experience and deep knowledge of the iGaming industry, we offer tailored solutions that cater to your platform’s unique needs and local market specifics.

Our flagship products, the Player Behavior Engine and Lobby Engine, use advanced AI and machine learning models to provide deep insights into player behavior and deliver personalized game recommendations.

Player Behavior Engine helps you develop detailed player behavior segmentation, spot both positive and negative player activities, and implement personalized actions to enhance player experience and boost revenue.

Our Lobby Engine uses advanced AI recommendation models to deliver highly personalized game suggestions directly on the main page. This ensures each player discovers the most relevant games.

Role overview:

In this role, the Data Analyst will analyze complex datasets to uncover insights, build hypotheses for product improvements, and support decision-making through data transformation, A/B test analysis, and creating dashboards in Tableau.

Responsibilities:

  • Data discovery, build hypotheses for product improvement

  • Write scripts for data transformation

  • Analyze A/B-tests

  • Develop analytical dashboards in Tableau

Qualifications:

  • 3+ years of working experience as a data or product analyst

  • B1+ level in English

  • Strong SQL skills for data analysis

  • Python for data processing and visualization

  • Ability to analyze, structure, and present complex information

Preferred qualifications:

  • Experience with iGaming

  • Experience with AWS

  • Knowledge of statistics and probability theory

  • Experience in the practical use of BI tools (Tableau, Power BI or any other BI tool)

Benefits:  

  • Education budget of $600 per year provided

  • Professional English courses

  • Medical Insurance

Interview process:

  1. Recruiting Interview (45 mins)

  2. Technical Interview (60 mins)

  3. Interview with CPO & CEO (30 mins).

Thanks for your interest! In the case of your application, we will review it within 5 working days. If it meets the job requirements, we will arrange a call and will be happy to get to know each other better. Otherwise, we’d love to stay in touch waiting for other opportunities to become available.

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Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Middle / Senior Data Analyst, toogeza

Join us at Toogeza, where we connect talented individuals with innovative tech startups around the globe! We're thrilled to announce that we're on the hunt for a Middle/Senior Data Analyst to join our client, Playa AI. Based remotely, this full-time role invites you to dive into the exciting world of iGaming, leveraging your analytical skills to drive player engagement and boost revenue for our client's platforms. As a Middle/Senior Data Analyst, you'll unravel complex datasets, craft impactful hypotheses for product enhancements, and provide essential insights that will influence top-level decisions. Your expertise in SQL and Python will be put to the test as you analyze A/B tests and create dynamic dashboards in Tableau that will help the team visualize trends and make data-driven decisions. At Playa AI, you will be part of a team that truly values creativity and innovation, working on cutting-edge AI products that personalize player experiences like never before. If you have over three years of experience as a data analyst, a knack for problem-solving, and a passion for the iGaming industry, this could be the perfect opportunity for you! Join us, and let's make a difference in the world of online gaming together.

Frequently Asked Questions (FAQs) for Middle / Senior Data Analyst Role at toogeza
What qualifications are needed for the Middle/Senior Data Analyst role at Toogeza?

To thrive as a Middle/Senior Data Analyst at Toogeza, you should bring at least three years of experience in data analysis, along with strong SQL and Python skills. An understanding of data transformation, A/B testing, and developing dashboards in Tableau is crucial. A B1+ level in English is also required, alongside a background in iGaming being a bonus. Familiarity with BI tools like Power BI or experience with AWS would be advantageous.

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What will the responsibilities of the Middle/Senior Data Analyst be at Playa AI?

As a Middle/Senior Data Analyst at Playa AI, you'll be responsible for analyzing complex datasets to derive actionable insights that influence product improvements. Key duties include writing scripts for data transformation, performing A/B test analyses, and creating analytical dashboards in Tableau. Your role will be pivotal in ensuring the success of player engagement strategies through data analytics.

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What benefits does Toogeza offer for the Middle/Senior Data Analyst position?

Toogeza offers a competitive salary and a variety of benefits for the Middle/Senior Data Analyst position, including a $600 annual education budget for professional development, medical insurance, and access to professional English courses. We are committed to supporting your growth in a dynamic and innovative work environment.

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What skills are essential for the Middle/Senior Data Analyst role at Playa AI?

Essential skills for the Middle/Senior Data Analyst role at Playa AI include strong SQL proficiency for querying databases, expertise in Python for data processing and visualization, and experience in creating informative dashboards with Tableau. Additionally, analytical skills, attention to detail, and experience in iGaming would be very beneficial.

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How does the interview process for the Middle/Senior Data Analyst position at Toogeza work?

The interview process for the Middle/Senior Data Analyst position at Toogeza consists of three stages: an initial recruiting interview lasting approximately 45 minutes, a technical interview focused on your analytical skills for 60 minutes, and a final interview with the CPO and CEO for around 30 minutes. This structure allows us to get a comprehensive understanding of your fit for the role.

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Is remote work available for the Middle/Senior Data Analyst position?

Yes! The Middle/Senior Data Analyst position at Toogeza allows for remote work, giving you the flexibility to join Playa AI from anywhere. Embrace a work-life balance while contributing to impactful AI solutions in the iGaming sector.

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What kind of projects will the Middle/Senior Data Analyst work on at Playa AI?

In the role of Middle/Senior Data Analyst at Playa AI, you will work on projects that involve analyzing player behavior data and enhancing product offerings through advanced AI technologies. You'll engage in developing insights that drive personalized game recommendations and player engagement strategies, making a genuine impact in the iGaming industry.

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Common Interview Questions for Middle / Senior Data Analyst
How do you approach data analysis for product improvements?

When approaching data analysis for product improvements, it’s crucial to start with a clear understanding of the business objectives. I begin by identifying key metrics relevant to the product, diving into existing data to uncover patterns or trends, and formulating hypotheses based on these insights. I also ensure to communicate findings to relevant stakeholders effectively, utilizing visualizations to enhance comprehension.

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Can you explain your experience with A/B testing?

Absolutely! In my previous role, I frequently conducted A/B tests to evaluate new features and marketing strategies. It’s essential to formulate clear hypotheses, select the right user segment, and analyze the results statistically once the test concludes. I focus on interpreting the data in the context of user behavior to guide product decisions.

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What has been your biggest challenge in data analysis?

One of my biggest challenges in data analysis was during a project where I had to integrate data from disparate sources with inconsistencies in data quality. I addressed this by establishing a systematic data cleaning process, employing specific tools to ensure accuracy, and regularly communicating with team members to maintain alignment on data interpretation.

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Describe your experience with SQL and its application in data analysis.

I have over three years of extensive experience using SQL for querying and managing databases. SQL allows me to access and manipulate data efficiently, facilitating detailed analysis and reporting. I often write complex queries to extract pertinent insights, supporting product teams in making data-driven decisions.

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How do you communicate complex data insights to non-technical stakeholders?

I believe it’s essential to tailor the communication style based on the audience's technical understanding. I prepare concise reports and visual presentations that highlight key findings and actionable insights while avoiding jargon. Whenever possible, I use analogies and story-driven approaches to make the data more relatable, ensuring that stakeholders grasp the importance of the insights.

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Can you share an example of when your data analysis impacted business decisions?

In a previous position, I conducted an analysis identifying a significant drop in user engagement following a feature update. By presenting the data, I was able to pinpoint specific pain points and recommend adjustments that improved the user experience. This ultimately led to a user engagement increase of over 25%, demonstrating the clear impact of data analysis on business decisions.

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What BI tools have you worked with, and how do you leverage them in your analysis?

I have extensive experience using Tableau for creating dashboards and visualizations to present data insights effectively. I leverage BI tools to make complex data sets accessible and actionable for stakeholders. Creating interactive dashboards helps teams track metrics over time and adjust strategies based on real-time insights.

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How do you ensure data accuracy and integrity in your analyses?

Ensuring data accuracy and integrity is paramount. I implement rigorous data validation checks and cross-reference data from multiple sources. Additionally, I document my methodologies so that any discrepancies can be traced back, ensuring transparency in the analysis process. Regular audits also help maintain high standards of data quality.

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What methods do you use for data visualization?

For data visualization, I prioritize clarity and effectiveness in the representation of data. I often use Tableau for dynamic visualizations but also consider static visualizations in reports for presentations. I focus on the story the data tells to select the most appropriate chart types, ensuring that the visuals enhance understanding and engagement.

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Why are you interested in the Middle/Senior Data Analyst position at Playa AI?

I am particularly excited about the Middle/Senior Data Analyst position at Playa AI because of the unique opportunity to apply my data analysis skills in the innovative and fast-paced iGaming industry. The chance to work on AI solutions that enhance player experiences aligns with my passion for utilizing data to drive meaningful business results. I am eager to contribute to projects that merge cutting-edge technology with strategic insights.

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Full-time, remote
DATE POSTED
November 26, 2024

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