Senior Data Analyst (f/m/x) - remote

Bachelor’s degree in a quantitative field. Minimum of 5 years of experience in analytics. Proficiency in analytics and BI tools (eg. Looker, Tableau, or PowerBI). Experience working with large datasets and SQL for data extraction and manipulation. Strong experience with Python for data analysis, scripting, and statistical modeling. Familiarity with cloud-based data storage and tools (e.g. BigQuery). Intermediate understanding of statistical methods, including regression, clustering, and hypothesis testing. Intermediate understanding of statistics and how to interpret different outputs across various data science models. Proven track record of driving strategic impact through data-driven insights. Excellent problem-solving and critical-thinking skills with strong attention to detail. Effective communication and presentation skills to convey complex data insights to both technical and non-technical audiences.

Analyze datasets to identify trends, uncover key performance drivers, and generate actionable insights. Collaborate with data engineering teams to improve and streamline data pipelines. Conduct statistical analysis to test hypotheses and validate findings. Apply statistical modeling techniques to solve business problems and improve decision-making processes. Translate complex data problems into clear solutions and communicate insights to stakeholders. Develop and enhance self-service capabilities to empower non-analytics stakeholders to access, understand, and explore data independently. Experiment with innovative approaches—such as AI-driven tools—to enhance speed and scale in analytics. Collaborate with cross-functional teams, including product, engineering, and marketing, to align analytics efforts with organizational goals.