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Analytics Engineer

About Us

Modern Animal is reimagining veterinary care and is looking for an Analytics Engineer to shape and enhance our data ecosystem, building scalable analytics solutions that empower data-driven decision-making and improve the quality of care we provide.

The Role

We are looking for an Analytics Engineer to advance our data and analytics function, enabling greater data-driven decision-making across the organization. In this role you will be responsible for building and scaling both data products (data assets, dashboards, tools/services) and analytic frameworks (decision frameworks, metrics, analytical models). You will be a “force multiplier” who significantly improves and speeds up Modern Animal’s ability to make great data-informed decisions.

This is a high-impact role requiring strong business acumen, excellent communication skills, and the ability to scope and execute projects with autonomy. You will work closely with cross-functional teams, including engineering, product, operations, marketing, and finance, to ensure our data ecosystem is optimized for efficiency and insight generation.

What You’ll Do

  • Develop and Manage Cross-Functional Data Products - analytical data models, metric frameworks and implementations, and self-serve dashboards/tools
  • Drive Decision Making – Collaborate with teams across the company, including senior leadership, to deeply understand business needs and translate them into actionable data solutions and insights.
  • Automate and Streamline Analytics Processes – Identify opportunities to improve efficiency and scalability in reporting and data workflows.
  • Ensure Data Quality & Governance – Implement best practices for data reliability, consistency, and accuracy.
  • Educate and Enable – Provide training and documentation to ensure stakeholders can effectively self-serve and interpret data.

Who You Are

  • 2+ years of experience in analytics engineering, data analytics, or data engineering.
  • Self-starter and natural finish - you are someone who gets sh*t done.
  • Possess an innate intellectual curiosity and desire to understand the complexities of our business and data, and elevate the prowess of the data and analytics team.
  • Strong business acumen with the ability to understand and anticipate stakeholder needs from the perspective of the business.
  • Excellent communication skills - both written and verbal - including experience presenting insights and recommendations to leadership.
  • You are a person of high-integrity - you do the right thing, not the easy thing.
  • You thrive in cross-functional projects that have a heavy combination of technical requirements and user-focused workflows.
  • High proficiency with SQL and experience with one or more programming languages (e.g. Python, Javascript) and markup/configuration languages (e.g. YAML).
  • Proficiency in building data models and pipelines using transformation and orchestration software (e.g. dbt, Airflow).
  • Experience building reports/dashboards with business intelligence (BI) tools, such as Tableau, Looker, Metabase, etc.).
  • Nice to have: experience with product analytics tools, such as Posthog, Heap, or Amplitude.

Why Join Us?

  • Excellent medical, vision, & dental coverage with various options to choose from
  • 401k savings plan with a company match
  • Flexible time off & paid parental leave
  • Free membership to Modern Animal for your pets and discounts on extra services
  • Access to behavioral and mental health services through Spring Health
  • A collaborative team who has your back and will welcome you as part of our pack

 

The pay range for this position is $111,000 - $139,000 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and equity grant units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the California Pay Transparency Act. Base pay information is based on geographic location.

We believe an equitable and inclusive work environment and a diverse, empowered team are key to achieving our mission. We’re not looking for candidates who are “culture fits.” We’re looking for candidates who can expand our culture and challenge business as usual. We strive to foster an environment where all staff can bring their whole selves to work, by their own definition, and we strive to provide all candidates with an equitable and accessible recruitment process.

We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics.

In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

If we can offer accommodations for you in the recruitment process, or if you have feedback on how to make our recruiting more equitable or accessible, please let us know!

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Average salary estimate

$125000 / YEARLY (est.)
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$111000K
$139000K

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What You Should Know About Analytics Engineer, Modern Animal

At Modern Animal, we're reimagining veterinary care, and we're on the hunt for an Analytics Engineer to help us shape an innovative data ecosystem. Based in sunny Los Angeles, CA, this role is all about building scalable analytics solutions that drive data-informed decisions, ultimately enhancing the quality of care we provide to our furry friends. As our Analytics Engineer, you'll be a crucial part of our team, transforming raw data into actionable insights and creating tools, dashboards, and analytic frameworks that empower our organization. Picture yourself collaborating with various teams—engineering, product, operations, and more—to comprehend their needs and turn them into data solutions that make a real difference. You'll dive deep into developing data products, automating analytics processes, and ensuring data governance. If you have a knack for problem-solving, possess strong communication skills, and thrive in a dynamic environment, we’d love for you to join our pack as we grow and innovate together!

Frequently Asked Questions (FAQs) for Analytics Engineer Role at Modern Animal
What are the primary responsibilities of the Analytics Engineer at Modern Animal?

As the Analytics Engineer at Modern Animal, you will take on a variety of responsibilities, including developing cross-functional data products, automating analytics processes, and ensuring data quality. You'll work closely with multiple teams to translate business needs into actionable insights, helping enhance our decision-making capabilities. Your role will be pivotal in creating a data ecosystem that supports efficient workflows and encourages exploration and understanding of our analytics.

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What qualifications are needed for the Analytics Engineer position at Modern Animal?

To qualify for the Analytics Engineer role at Modern Animal, you should have at least 2+ years of experience in analytics engineering, data analytics, or data engineering. A strong business acumen is necessary to understand stakeholder needs, along with excellent communication skills for presenting insights. Proficiency with SQL and experience in programming languages like Python or JavaScript are key, as well as experience with BI tools like Tableau or Looker.

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What tools and technologies does the Analytics Engineer at Modern Animal work with?

In the Analytics Engineer position at Modern Animal, you will work with various tools and technologies to build data models and reporting frameworks. This includes transformation and orchestration software like dbt or Airflow, along with business intelligence tools such as Tableau, Looker, or Metabase. Familiarity with product analytics tools like Posthog or Amplitude would be a plus as well.

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How does the Analytics Engineer contribute to decision-making at Modern Animal?

The Analytics Engineer at Modern Animal plays a crucial role in driving decision-making by collaborating with various teams to identify their data needs. By developing actionable data solutions and insights, you will enable leaders and stakeholders to make informed choices that positively impact business outcomes. Your insights will empower teams and enhance our overall analytical capabilities.

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What kind of work environment can an Analytics Engineer expect at Modern Animal?

At Modern Animal, the work environment is collaborative and inclusive, where diverse perspectives are valued. The Analytics Engineer will thrive in a dynamic setting that encourages innovation and creativity. The team prioritizes strong communication and support, fostering a culture where everyone can contribute and excel. Moreover, Modern Animal offers flexible time off and benefits to create a healthy work-life balance.

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Common Interview Questions for Analytics Engineer
Can you describe your experience with SQL and how you've used it in past projects?

In your response, highlight specific projects where you've utilized SQL to analyze data. Talk about your proficiency in writing complex queries and how your insights contributed to effective decision-making. It’s important to demonstrate your understanding of database systems and how you've improved processes through your SQL expertise.

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How do you approach developing data products that meet the needs of cross-functional teams?

Showcase your process for discovering team needs through collaboration and communication. Mention how you gather requirements, ensure stakeholder buy-in, and iterate on your designs based on feedback. Highlighting a specific example where you successfully delivered a data product will strengthen your answer.

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What methods do you use to ensure data quality and accuracy in analytics projects?

Discuss the best practices you follow for data governance, including validation checks, consistency measures, and error detection strategies. If you have experience with data cleansing or implementing automation for data quality checks, be sure to mention that as it demonstrates your hands-on expertise.

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Describe a challenging analytical problem you've faced and how you solved it.

Use the STAR method (Situation, Task, Action, Result) to describe a specific challenge. Focus on how you approached the problem analytically, the tools and methods you applied, and the ultimate outcome, particularly any impact it had on the organization or team effectiveness.

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How do you communicate complex data insights to non-technical stakeholders?

Emphasize the importance of storytelling and context when communicating insights. Share your strategies for translating technical jargon into relatable language, and provide an example of how you've successfully conveyed insights that led to actionable business decisions.

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Can you provide an example of a dashboard or report you've built that was especially impactful?

Select a project where your dashboard/report made a significant difference. Discuss the design principles you employed, the metrics you focused on, and how the stakeholders reacted. Highlight any follow-up actions that arose from the insights your dashboard provided.

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What experience do you have with programming languages for analytics, like Python or JavaScript?

Be prepared to describe projects where you've utilized programming languages alongside analytics tasks. Discuss your familiarity with libraries in Python, such as Pandas, for data manipulation, or how you've utilized JavaScript in web analytics contexts. Showcase how these languages enhanced your analytical capabilities.

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How do you stay current on trends in analytics and data engineering?

Talk about your commitment to continuous learning by participating in webinars, following influential thought leaders, reading industry publications, or engaging with online communities. Mention any certifications or courses you’re pursuing to deepen your knowledge and skill set.

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What role does automation play in your analytics workflow?

Outline the automation tools and processes you've implemented to improve efficiency in your workflow. Share how automating reporting and data transformation has enhanced productivity and allows you to focus on more strategic analysis.

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How do you handle competing priorities and tight deadlines in data projects?

Illustrate your time management skills by discussing how you prioritize tasks based on urgency and importance. Provide an example of a situation where you successfully managed multiple deadlines while ensuring high-quality outputs.

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At Modern Animal, we are on a mission to better the lives of animals by building a place that’s better for all of us who love them.

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March 30, 2025

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