{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Senior Data Analyst","description":"

At Koala Health, we have our eyes set on an ambitious goal: to make managing your pet’s health simple and delightful. We’ve already launched our pharmacy service that allows people to shop for their pets’ medications and supplements online and get them delivered to their doorstep in presorted medication pouches. Now we’re focused on continuing to improve that experience while building a suite of new products and services that will make the pet health experience even better.

We are seeking a versatile and experienced Senior Data Analyst to join our Insights and Analytics team. In this role, you will leverage your expertise in SQL, Python, and other analytical tools to build data solutions that drive strategic decision-making across the organization. You’ll design and develop dashboards and visualizations that turn complex data into clear, actionable insights for stakeholders at all levels, including executive leadership. With a strong understanding of business needs, you’ll create data products, tools, and resources that support experimentation, optimize customer experiences, and unlock new opportunities in the pet health space.

What You'll Do

Lead complex quantitative analyses to assess the impact of product launches, operational enhancements, and strategic opportunities, delivering data-driven recommendations that influence high-level business decisions.
Partner closely with cross-functional teams and senior stakeholders to proactively identify high-impact areas where data can unlock insights, optimize workflows, and inform prioritization of key initiatives.
Synthesize internal and external data sources to generate a holistic understanding of customer behaviors, operational processes, and partner dynamics, and translate these insights into clear, actionable strategies across the organization.
Serve as a thought partner to leadership, contributing to strategic planning by evaluating emerging product opportunities, evolving market trends, and competitive dynamics to support long-term growth.

Who You Are

High school diploma or GED required; bachelor’s degree in a relevant field preferred
6+ years of progressive experience in data analytics, ideally within e-commerce, subscription-based, or customer-centric businesses
Advanced proficiency in SQL, with a track record of navigating complex data ecosystems and analyzing large, multi-source datasets to uncover insights that drive measurable business impact
Proven ability to lead investigative data work, from sourcing and structuring messy operational data to architecting robust analytical solutions that inform high-priority decisions
Skilled in wireframing and prototyping data visualization solutions, with a strong sense for how to present KPIs and narratives that resonate with diverse audiences, including executives
Hands-on experience with Python or R, and fluency in visualization platforms such as Looker, Tableau, Mode, Amplitude, or Heap
Strong ownership mindset, with the initiative to independently drive projects from problem definition through execution and stakeholder communication
Bonus: Experience with modern data stack tools such as DBT, Snowflake, and Mozart for building scalable data pipelines and transforming raw data into analytics-ready assets
Bonus: Familiarity with marketing analytics and customer data platforms like Segment, Mixpanel, and related attribution tools

Koala Health offers competitive salary and a chance to own a part of the company in the form of equity. We cover medical, dental, and vision insurance with partial coverage for your partner and dependents. Other benefits include unlimited PTO, a 401k retirement account and any Work From Home tools / equipment you need to support your own office needs.

We know that not everyone will have all these skills on day one. We value a learning mindset and individuals who are invested in our mission. If you don’t meet all of this criteria, we still encourage you to apply!

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