Analytics Engineer

Health and fitness technology company providing tools and resources for weight management and better food choices.
$130,000 - $150,000
Data
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
Healthcare · Consumer

Description For Analytics Engineer

MyFitnessPal, a leading health and fitness technology company, is seeking an Analytics Engineer to join their Data Engineering team. This role is crucial in bridging the gap between engineering and analytics, focusing on creating reliable and scalable data models for business intelligence initiatives.

The position offers an exciting opportunity to work on systems that directly impact millions of users' health and fitness journeys. As an Analytics Engineer, you'll be responsible for ensuring data quality and governance while taking an engineering approach to analysis and investigations. The role requires expertise in data modeling, SQL, Python, and modern data engineering tools like dbt and Airflow.

The ideal candidate will be a self-starter with strong problem-solving abilities and experience in implementing QA/QC processes for data pipelines. You'll work closely with the Data Platform team and various stakeholders to enhance the organization's data infrastructure and enable self-service analytics.

MyFitnessPal offers a comprehensive benefits package including competitive salary ($130,000-$150,000), healthcare coverage, 401(k) with employer match, and various wellness perks. The company promotes a flexible work environment with opportunities for face-to-face connections and personal growth through mentorship programs.

The company culture emphasizes collaboration, inclusivity, and work-life balance. Core values include being kind, living good health, and being data-inspired. MyFitnessPal is committed to diversity and encourages applications from people of different backgrounds and experiences, even if they don't meet 100% of the qualifications.

This role presents an excellent opportunity for someone passionate about using data to improve people's health while working with modern data engineering tools and practices in a supportive, mission-driven environment.

Last updated a month ago

Responsibilities For Analytics Engineer

  • Lead day-to-day efforts to ensure data quality, governance, and reliability
  • Design and implement automated data quality assurance and control processes
  • Develop and maintain data validation frameworks and testing strategies
  • Conduct ad hoc analysis and investigations
  • Work with Data Platform team on infrastructure improvement
  • Support business teams with self-service analytics and training
  • Define and document technical requirements for data pipelines

Requirements For Analytics Engineer

Python
MySQL
  • Experience with dbt and modern data modeling practices
  • Expertise in implementing QA/QC processes for data pipelines
  • Proficiency in SQL and Python
  • Strong problem-solving skills and self-starter mindset
  • Experience with data warehouses like Snowflake or MySQL
  • Understanding of data governance principles
  • Experience with Airflow or similar orchestration tools
  • Familiarity with API integration and REST
  • Experience with AWS or other cloud platforms

Benefits For Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
  • Annual company gatherings
  • Flexible time-off policy
  • Volunteer days off
  • Mentorship program
  • Paid maternity and paternity leave
  • Fertility assistance
  • Monthly wellness allowance
  • Mental health days
  • MyFitnessPal Premium access
  • Learning and development resources
  • Medical, dental, and vision benefits
  • 401(k) with employer match

Interested in this job?

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