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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 searching for a Senior Data Analyst!
Fi is looking for a Senior Data Analyst to extract insights, build interactive dashboards, and collaborate with our Finance, Sales, & Marketing teams to solve complex business problems. This role is a unique opportunity to drive data-informed decision-making and optimize business processes in a dynamic, fast-paced environment.
If you’re excited to work with large datasets, apply advanced analytics, and deliver actionable insights that impact the business, this role is for you.
What You’ll Do:
- Collaborate with finance, sales, & marketing teams to identify and define data requirements and objectives
- Collaborate with data engineers while learning how to build and/or optimize data pipelines
- 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/optimize business problems and build predictive forecasts
- Conduct thorough exploratory data analysis to identify patterns, correlations, and anomalies
- Design and build interactive dashboards, reports, and visualizations to present data findings to stakeholders
- Identify 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 integrityStay 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
What You’ll Bring:
- 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 (Sigma, Tableau, Power BI, Looker, 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 (ETL) and Sigma Computing (BI)
- 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
Why You'll Love Us:
- Time to Recharge: Enjoy flexible PTO to take the breaks you need.
- Top-Notch Health Coverage: We’ve got your back (and teeth and eyes) with full medical, dental, and vision insurance.
- Wellness Perks: Free access to One Medical, Kindbody, and Talkspace to keep you feeling your best.
- Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program.
- Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar, on us!
- Love for Friends + Family: Share the Fi magic with loved ones through our gifting program.
Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Fi makes hiring decisions based solely on qualifications, merit, and our needs at the time.
TryFi New York, New York, USA Office
419 Lafayette St, 2nd Floor, New York, New york, United States, 10003
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
