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• Will be responsible for analyzing complex data sets, developing reports, and presenting insights to help inform business decisions. • The Senior Data Analyst will work closely with cross-functional teams to identify business needs, design data models, and create visualizations that drive actionable insights. • Conduct complex data analyses and generate reports that inform business decisions. • Work with cross-functional teams to identify business needs and develop data models that support these needs. • Develop and maintain data visualizations that effectively communicate insights and recommendations to stakeholders. • Collaborate with data engineers and other data analysts to ensure data accuracy and consistency. • Develop and implement data quality checks and controls to ensure data accuracy. • Identify trends and patterns in data to inform business decisions. • Stay up-to-date with industry trends and best practices in data analysis and visualization. • Mentor and train junior data analysts.
• Bachelor's or master's degree in data science, statistics, mathematics, computer science, or a related field. • At least 5 years of experience in data analysis or a related field. • Experience with SQL, Python, R, or other programming languages used for data analysis. • Experience with Azure, Snowflake, Airflow, dbt, and an excellent foundation in data warehousing. • Strong problem-solving and analytical skills. • Excellent written and verbal communication skills. • Ability to work independently and collaboratively in a team environment. • Experience mentoring and training junior data analysts is preferred. • Excellent communications skills to talk in English
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