How This Role Makes a DifferenceThe
Enterprise Performance Analytics Engineer will support the development and maintenance of our analytics infrastructure, working closely with the data analysts, data engineers, and business stakeholders. This role is responsible for building and maintaining foundational data models, ensuring data quality, and enabling efficient and reliable reporting.
How You'll Make An Impact- Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team.
- Transform data into well-documented, tested, and trusted datasets for analysis and reporting.
- Collaborate with data analysts and stakeholders to understand data needs and implement models that support dashboards, KPIs, and deep-dive analyses.
- Help monitor data pipeline performance and resolve data quality issues proactively.
- Contribute to documentation of data models, definitions, and data lineage.
- Stay current with modern data stack tools and techniques and apply learning to support data team initiatives.
- Provide ad hoc and regular cadence analytics and reporting that supports current goals and business initiatives
- Provide business support to the operations team as needed and interface with strategic customers when required
The Expertise Required- Proven analytical and organizational skills to meet deadlines in an environment of often-changing priorities, conceptual thinker comfortable with ambiguity
- Proficiency in SQL and data warehousing concepts
- Understanding of data modeling concepts
- Exposure to modern data stack tools
- Understanding of version control systems
- Understanding of ETL/ELT processes and data pipeline concepts.
- Ability to work effectively with data analysts, engineers, and business stakeholders to understand requirements and deliver usable data assets.
Certifications/Licenses, Education, and Experience:- Minimum Education:
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Engineering, Information Systems) or equivalent practical experience.
- Minimum Experience:
- 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer)
How We Work Together- Location: Remote within the United States. This role requires 100% of work to be performed in a remote office environment.
- Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.
- Physical demands associated with this position Include: The ability to use keyboards and other computer equipment.
The expected pay range for this role is $80,000-$110,000 USD per year for full time team members.
Benefits & Perks (US Full Time Employees)- Paid Time Off (PTO) and Company Paid Holidays
- 100% Employer paid medical, dental, and vision insurance plan options
- Health Savings Account and Flexible Spending Accounts
- Bi-weekly HSA employer contribution
- Company paid Short-Term Disability and Long-Term Disability
- 401(k) Retirement Plan, with Company Match
#LI-Remote
Diversity & InclusionWe work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission.
