Senior Data Analyst

Jobgether; Spagna; Remoto; EUR 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote-first working arrangement

25 working days of annual vacation

15 sick leave days

Birthday day off

Paid Ukrainian national holidays

Medical insurance after probation

Budget for professional development

Company-funded English lessons

Technical equipment

Descrizione del lavoro

Jobgether seeks a Senior Data Analyst based in Spain to transform gaming and player data into actionable insights. You will work at the intersection of analytics, statistics, and data science to drive product performance and growth.

You will collaborate with Data Scientists, Data Engineers, and Product Managers to develop hypotheses, validate assumptions, and contribute to ML workflows, with a product-focused mindset and a passion for turning data into measurable impact.

Competenze

• Bachelor's or Master's degree in a quantitative field.
• 5+ years of experience as Data Analyst or Data Scientist, preferably in gaming/tech.
• Strong analytical thinking with ability to translate data into business recommendations.
• Experience with large datasets and distributed processing (BigQuery, Spark, Hive or equivalents).
• Advanced SQL and Python skills with pandas and scikit-learn.
• Proficiency in data visualization using Tableau or Power BI.

Mansioni

• 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.
• Collaborate with Data Scientists and Engineers on hypotheses and models.
• Apply statistical analysis and causal inference to identify drivers of behavior.
• Support predictive model development and A/B testing with feature engineering.
• Design experiments, evaluate results, and provide data-driven recommendations.
• Build dashboards and reports to monitor key performance indicators.
• Define metrics for new products and translate requirements into analytical frameworks.
• Communicate complex results clearly to technical and non-technical audiences.
• Leverage AI coding assistants to automate repetitive tasks and improve workflows.

Conoscenze

SQL

Python

Pandas

scikit-learn

A/B testing

Experiment design

Data visualization

Machine learning basics

Causal inference

AI coding assistants

Formazione

Bachelor's or Master's in Statistics/Math/CS/Economics

Strumenti

BigQuery

Spark

Hive

Tableau

Power BI

Descrizione del lavoro

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 Spain.

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.