Sailes envisions a world where technology creates the space for us all to be more human. Our mission is to help every sales team unlock potential and act on possibilities.

Today, we elevate the world’s leading sales executives with Sailebots that eliminate manual prospecting tasks in favor of high-value, high-return sales activities.

For the Fortune 500 and beyond, our unique Sailebots automate the entire prospecting lifecycle. This Digital Labor™ process helps companies triple their pipeline at a 5X cost reduction from manual prospecting.

Your Mission:

As the Senior Data Analyst, you will play a crucial role in uncovering insights from our data to drive business improvements and identify opportunities for advanced analytics and machine learning models. You will be responsible for investigating complex datasets, identifying trends, and collaborating with the Machine Learning Engineer (MLE) to develop and implement predictive models. Your work will be pivotal in shaping strategic decisions and optimizing our business processes.

Key Responsibilities:

• Advanced Data Analysis: Conduct deep analyses of large datasets to identify trends, patterns, and actionable insights that drive business decisions and improvements, with an emphasize on statistical rigor.
• Product Success: Measure the impact and prioritize our product efforts by defining, forecasting, and monitoring KPIs and identifying areas for experimentation.
• Data Science Integration: Work closely with the MLE to develop and hand off potential ML models, leveraging your understanding of data science principles and techniques.
• Collaboration: Partner with cross-functional teams, including data engineers and product managers, to ensure data-driven solutions align with business objectives and technical requirements.
• Data Storytelling: Clearly present findings and recommendations to stakeholders, translating complex data into actionable insights and strategic recommendations.
• Continuous Improvement: Advocate for best practices in data analysis and contribute to the ongoing development and refinement of our data analytics processes and methodologies.

Qualifications:

• Experience: 3-5 years of experience in data analytics or data science, with a proven track record of handling large datasets and deriving meaningful insights.
• AWS Expertise: Hands-on experience with AWS data services and tools, including Amazon RDS, Amazon S3, and AWS Glue.
• Technical Skills: Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Data Science Knowledge: Strong understanding of experimentation, regression analysis, machine learning concepts, model development and evaluation.
• Analytical Abilities: Excellent problem-solving skills with a strong ability to analyze complex data with statistical methodologies and provide actionable insights.
• Communication: Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Educational Background: Bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, or a related discipline.