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Data Analyst

Fi

Fi

IT, Data Science
New York, NY, USA
Posted 6+ months ago

Who is Fi?

Fi is rethinking the relationship between dogs and humans. We build products for your dog to live a longer, better life. We are full of experienced, passionate people that have built and shipped outstanding products for Nest, Square, Google and Uber who all care about their dogs. Together, we're bringing a digital revolution to the dog space.

Today's dog industry is a relic from the 80s. We are using technology to improve dogs' lives and make the 100 million dogs in the US live longer. Dogs' life expectancy hasn't improved in decades - we are here to change this. We are keeping dogs safe by allowing owners to keep track of their whereabouts. We are keeping dogs healthy by showing owners how much they should exercise and keep them accountable. We also monitor health patterns like sleep and overall balance of activity versus resting patterns.

The hardest part about being a dog owner is they can't tell you when something is wrong. Fi aims to change that; We're looking for people to join us who love a good challenge—and of course, dogs. We set the bar high at Fi. In our world, "impossible" means "let me find a way".

If you feel like you belong, keep reading!

Fi is looking for a Data Analyst!

  • As a Data Analyst at Fi, you will play a crucial role in transforming raw data into valuable insights and actionable recommendations. Reporting directly to the VP of Data, you will contribute to driving data-informed decision making and shaping our business strategy. Your primary responsibility will be to extract, analyze, and interpret complex data sets to uncover trends, patterns, and insights that will inform key business initiatives.

Our Tech Stack:

  • Python + PySpark
  • dbt (data-build-tool)
  • DataBricks
  • Tableau
  • AWS
  • Airbyte

Responsibilities:

  • Collaborate with cross-functional teams to identify and define data requirements and objectives.
  • Extract, clean, transform, and analyze large datasets from various sources to generate meaningful insights.
  • Develop and implement 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 stakeholders.
  • Identify key performance indicators (KPIs) and develop metrics to measure and track business performance.
  • 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.

Qualifications:

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related disciplines.
  • Minimum of 2 years of professional experience as a Data Analyst or similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Proficiency in data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Proficiency in Python.
  • Familiarity with data warehousing concepts and cloud platforms (e.g., AWS, Azure, GCP).

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.