[Remote/WFM] Sr Data Analyst

Posted 2025-09-12
Remote, USA Full Time Immediate Start
Become a key member of our collaborative team as a Sr Data Analyst! Experience the best of both worlds with this role based in our innovative Remote office. This position requires a strong and diverse skillset in relevant areas to drive success. This straightforward role comes with a dependable salary of a competitive salary.
 
 
Description:
• Collect, clean, and analyze large datasets to identify trends, patterns, and insights that inform business decisions.
• Create compelling and informative data visualizations using tools like Tableau, Power BI, or similar to effectively communicate findings to stakeholders.
• Develop and maintain automated and ad-hoc reports and dashboards to track key performance indicators (KPIs) and provide regular updates to management.
• Apply statistical techniques to perform hypothesis testing, regression analysis, and other advanced analyses to support decision-making.
• Ensure data accuracy, consistency, and reliability through data validation and cleaning processes.
• Work closely with cross-functional teams, including marketing, product development, finance, and operations, to provide data-driven insights and support decision-making.
• Provide actionable recommendations based on data insights to drive continuous improvement and optimization of processes and strategies.
•... Maintain clear and organized documentation of data analysis processes, methodologies, and findings.
• Keep abreast of industry trends, emerging tools, and best practices in data analysis to continuously improve skills and methodologies.

Requirements:
• Bachelor's degree in a related field (e.g., Statistics, Mathematics, Computer Science, Business Analytics).
• 5+ years of experience as a Data Analyst, with a proven track record of delivering actionable insights.
• Expert level skill in SQL, plus experience with Python and/or R.
• Strong data visualization skills using tools like Tableau, Power BI, or similar.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication skills, with the ability to present complex findings to non-technical stakeholders.
• Attention to detail and a commitment to data accuracy.
• Experience working with large datasets and knowledge of database management systems.
• Knowledge of statistical analysis techniques.

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