ESL FACEIT Group - EFG · 7 hours ago

Senior Research Analyst (Remote)

New York, United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Conduct research initiatives, leading critical aspects such as design and delivery, and ensuring alignment with business goals;

Define research objectives, methodologies, deliverables, and timelines in collaboration with the Research Analytics Team and stakeholders;

Drive collaboration and communication among team members to achieve project milestones and deliverables;

Develop data-driven hypotheses and design experiments to test them, contributing to the company’s understanding of key business drivers;

Explore and apply new data sources, tools, and methodologies to improve the team’s research capabilities.

Apply your fresh perspective, curiosity, and analytical thinking to uncover new research opportunities that contribute to the business’s success;

Translate research findings into clear, actionable insights and prescribe recommendations that influence strategic decision-making;

Partner with stakeholders to implement research-driven solutions and track KPIs to measure their impact.

Serve as a key technical resource within the Research Analytics team, sharing knowledge and best practices;

Stay updated on emerging trends in analytics and research, and share insights with the team to foster a culture of continuous learning;

Contribute to the improvement of team processes and methodologies, ensuring the delivery of high-quality research outputs.

Qualification

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Research expertiseSQLPythonStatistical methodsData analysisHypothesis formulationA/B testingExploratory Data Analysis (EDA)Stakeholder managementEsports industry experience

Required

5+ years of experience as a research analyst or in a similar analytical role

Track record of delivering research projects with significant, measurable business outcomes

Experience formulating hypotheses and designing experiments, including T-tests, Chi-Square, ANOVA, A/B testing, matched pairs, etc

Skilled in analyzing and generating insights from diverse data sets, such as transactional data, survey data, and unstructured text data. Familiarity with industry-specific data sources and APIs is a plus

Proficiency in SQL and Python or R for data extraction, transformation, cleaning, and analysis

Experience conducting Exploratory Data Analysis (EDA) to identify patterns and anomalies within large datasets

Strong knowledge of statistical methods and the ability to apply them effectively, including regression, time series, non-parametric analysis, clustering, Bayesian inference, etc

Ability to synthesize research findings and craft compelling narratives

Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences

Experience building and maintaining strong relationships with stakeholders, earning their trust through frequent communication and consistently high-quality deliverables