Senior Data Analyst/Scientist

Welcome to Fi.

We’re a passionate team from Square, Google, Peloton, Uber, and more working to transform the dog-human relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a dog parent.

The dog industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team's talent and expertise to improve the lives of the millions of dogs in the U.S. Real-time location tracking, activity, sleep and behavior monitoring – and that's just the beginning.

The most exciting aspect of our work? Bridging the communication gap between dogs and humans. Imagine a world where everyone knows how their dog feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi.

If you're someone who thrives in innovative, collaborative work environments and feels strongly about helping dogs live longer, better lives, Fi could be the perfect fit. Join us in our pursuit of the “impossible,” or as we call it here “let me find a way,” to redefine the future of dog ownership together.

Fi is looking for a Senior Data Analyst!

Qualifications:

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, etc.)
• 2+ years as a Data Analyst or similar role
• Proficiency in SQL and relational databases
• Skilled in data visualization tools (Tableau, Power BI, etc.)
• Experience in statistical analysis and data modeling
• Strong analytical and problem-solving skills for actionable insights
• Proficient in Python, with an emphasis on developing models
• Familiarity with data warehousing and cloud platforms (AWS, Azure, GCP)
• Familiarity with our tech stack: Databricks/Spark and Tableau
• Preferred: familiarity with building and deploying machine learning models
• Experience with big data 
• Excellent communication with the ability to present complex findings to both technical and non-technical stakeholders
• Detail-oriented with a focus on high-quality, accurate results
• Ability to manage multiple projects in a fast-paced environment

Responsibilities

• Collaborate with cross-functional teams to identify and define data requirements and objectives
• Collaborate with data engineers to optimize data pipelines for more efficient processing
• Extract, clean, transform, and analyze large datasets from various sources to generate meaningful insights
• Develop and implement predictive data models, algorithms, and statistical techniques to solve business problems and optimize processes
• Conduct thorough exploratory data analysis to identify patterns, correlations, and anomalies
• Design and build interactive dashboards, reports, and visualizations to present data findings to stakeholdersIdentify key performance indicators (KPIs) and develop metrics to measure and track business performance
• Proactively monitor data quality, identify data gaps or inconsistencies, and recommend solutions to improve data accuracy and integrity
• Collaborate with data engineers to streamline data pipelines and ensure efficient data extraction, transformation, and loading (ETL) processes
• Stay up to date with the latest industry trends, tools, and techniques in data analytics and apply them to enhance data analysis capabilities within the organization