Senior Data Analyst

Jobgether; Switzerland; Remote; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Flexible hours and remote-first

25 vacation days

15 sick days

Birthday day off

Paid Ukrainian holidays

Medical insurance after probation

Professional development budget

English lessons funded by company

Equipment tailored to role

Job summary

Jobgether is seeking a Senior Data Analyst based in Switzerland. You will transform game and player data into insights driving product performance and growth, collaborating with data science and product teams in a highly technical environment.

You will build dashboards, run experiments, and apply advanced analytics, including causal inference, to guide business decisions. English at B2+ and a product-oriented mindset are essential.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative discipline.
• 5+ years of experience as a Data Analyst or Data Scientist, preferably in gaming or tech.
• Strong analytical thinking and ability to translate data into business recommendations.
• Experience with large-scale datasets and distributed processing tools like BigQuery, Spark, Hive.
• Advanced SQL skills with data wrangling and transformations.
• Strong Python skills with pandas and scikit-learn.
• Data visualization proficiency with Tableau or Power BI.
• Knowledge of experimental design, A/B testing, and statistical testing.
• Familiarity with machine learning fundamentals and model evaluation.
• Understanding of causal inference and uplift modeling; collaboration on ML workflows.
• Experience using AI coding assistants to automate tasks.
• English proficiency at B2 level or above; strong communication and collaboration.
• Proactive, product-oriented mindset focused on measurable impact.

Responsibilities

• Analyze large volumes of game and player data to identify patterns and growth opportunities.
• Translate findings into actionable recommendations for product improvements.
• Investigate performance anomalies and explain business implications of changes.
• Collaborate with Data Scientists, Data Engineers, and Product Managers on hypotheses and experiments.
• Apply statistics and causal inference to understand drivers of user behavior.
• Support predictive models with feature engineering, dataset prep, and model evaluation.
• Design experiments, evaluate results, and provide statistically sound guidance for decisions.
• Build and maintain dashboards, reports, and performance monitoring tools.
• Define metrics for new products and translate requirements into analytics frameworks.
• Communicate complex results clearly to technical and non-technical audiences.
• Leverage AI tools to automate repetitive tasks and improve workflows.

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in Switzerland.

As a Senior Data Analyst, you will transform complex gaming and player data into actionable insights that drive product performance, user engagement, and business growth. You will work at the intersection of data analytics, statistics, and data science, helping teams understand player behavior and uncover opportunities for product improvement. Through advanced analytical techniques, experimentation, and predictive modeling, you will identify key performance drivers and support data-informed decisions. You will collaborate closely with Data Scientists, Data Engineers, and Product Managers in a highly technical, data-driven environment. Your work will contribute to improving gaming experiences, validating product hypotheses, and developing innovative analytical solutions. This role is ideal for someone who combines strong technical expertise with a product-oriented mindset and a passion for turning data into measurable business impact.

Accountabilities

• Analyze large volumes of game and player data to identify patterns, trends, behavioral dynamics, and opportunities for business growth.
• Translate analytical findings into actionable recommendations for product improvements, helping stakeholders understand what works, what does not, and where to focus next.
• Conduct in-depth investigations into performance anomalies, game features, and changes in player behavior to determine underlying causes and explain their business implications.
• Collaborate with Data Scientists, Data Engineers, and Product Managers to develop hypotheses, validate assumptions, and contribute to hands-on data science and machine learning tasks.
• Apply statistical analysis and causal inference techniques to identify the factors influencing user behavior and product performance.
• Support predictive model development and validation through feature engineering, dataset preparation, model evaluation, and A/B testing.
• Design and implement experiments, evaluate their results, and provide statistically sound recommendations to support product decisions.
• Build and maintain dashboards, reports, and performance monitoring tools that help stakeholders track key performance indicators and make informed decisions.
• Define and refine metrics for new products and features, translating high-level business requirements into measurable analytical frameworks.
• Communicate complex analytical results clearly and effectively to both technical and non-technical audiences.
• Leverage AI coding assistants and other AI-powered tools to automate repetitive tasks, improve analytical workflows, and enhance the quality and efficiency of deliverables.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative discipline.
• At least 5 years of experience as a Data Analyst or Data Scientist, preferably within the gaming, iGaming, or technology industry.
• Strong analytical thinking and problem-solving skills, with the ability to uncover meaningful insights and translate data into clear business recommendations.
• Experience working with large-scale datasets and distributed data processing technologies such as BigQuery, Spark, Hive, or equivalent tools.
• Advanced SQL skills, including complex queries, data transformation, and data wrangling.
• Strong Python skills and practical experience with data science libraries such as pandas and scikit-learn.
• Proficiency in data visualization and dashboard development using tools such as Tableau or Power BI.
• Solid knowledge of experimental design, statistical testing, A/B testing, hypothesis testing, and confidence intervals.
• Working knowledge of machine learning fundamentals, including supervised learning, feature engineering, model training and validation, and evaluation metrics.
• Familiarity with causal inference and uplift modeling, along with practical experience contributing to machine learning workflows or model development in collaboration with Data Scientists.
• Experience using AI coding assistants or other AI tools in daily work to improve automation, productivity, and output quality.
• English proficiency at B2 level or above.
• Strong communication and collaboration skills, with the ability to explain technical findings to diverse audiences.
• A proactive, product-oriented mindset and the ability to move beyond reporting metrics to recommend solutions that deliver measurable impact.

Nice to have:

• Knowledge of the iGaming industry and an understanding of slot game mechanics.
• The ability to evaluate games from the player's perspective and connect behavioral data with the overall gaming experience.
• A strong product mindset, with an emphasis on identifying opportunities and proposing practical, impact-driven solutions.

Benefits

• Flexible working hours and a remote-first working arrangement.
• 25 working days of annual vacation.
• 15 sick leave days.
• One paid day off to celebrate your birthday.
• Paid Ukrainian national holidays.
• Medical insurance after successfully completing the three-month probation period.
• A dedicated budget for professional development and education.
• Company-funded individual English lessons.
• Technical equipment tailored to your role and working needs.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!