The big picture: Axios is a media company dedicated to delivering trustworthy news and information with efficiency, clarity, and Smart Brevity. As a Senior Analytics Engineer at Axios, you’ll combine engineering rigor, business context, and storytelling to transform complex data into clear, consistent, and actionable insights. You’ll design, maintain, and evolve the curated layers of our data platform ensuring data is reliable, modeled for clarity, and accessible to everyone—from product partners to executives.
Why it matters: In partnership with data engineers, data scientists, and product managers, you’ll transform raw and complex source data into well-structured data products, certified dashboards, and compelling visualizations that underpin reporting, experimentation, and advanced analytics. You’ll also play a key role in developing a self-service analytics platform, ensuring that models and data structures empower teams across Axios to independently explore data, generate insights, and make confident, data-informed decisions.
Responsibilities:
- Own the gold and silver layers of the medallion architecture: define, version, and maintain business metrics and semantic models and data glossaries.
- Partner with data engineering to shape the silver layer, ensuring upstream data is complete, performant, and aligned with business needs.
- Build and maintain executive dashboards and visualizations that communicate key insights effectively.
- Define and enforce best practices for analytics modeling, data documentation, and visualization standards.
- Design and maintain data marts, metric stores, and semantic layers that enable consistent reporting across teams.
- Ensure dashboards and data models are accurate, documented, and certified for stakeholder trust.
- Partner with data scientists and ML Ops to document and integrate model outputs into analytical workflows.
- Lead initiatives to improve data quality, observability, governance, and glossary management across analytics workflows, ensuring strong, business-aligned definitions that prevent metric drift and maintain consistency over time.
- Mentor mid-level analytics engineers, helping them strengthen technical, communication, and stakeholder management skills.
- Act as a trusted advisor to product, business, and editorial leaders, ensuring analytics aligns with company priorities and drives impact.
- Ensure that analytics modeling and data structures are designed to power a self-service platform, enabling teams across Axios to explore reliable data, access well-defined metrics, and derive insights independently.
Skills:
- 5-8+ years in analytics engineering, BI development, or data visualization roles.
- Expert-level SQL and proficiency in transformation frameworks like dbt.
- Deep experience with BI and visualization tools (Looker, Sigma, or similar).
- Skilled at architecting curated datasets, semantic layers, and metric stores for consistency and scalability.
- Familiar with modern data stack technologies (Snowflake, BigQuery, Redshift, or equivalent).
- Strong understanding of medallion architecture, data modeling, and data governance best practices.
- Familiarity with version control, testing, and CI/CD practices for analytics pipelines.
- Excellent communication and data storytelling skills—able to translate technical work into clear, strategic insights.
- Proven ability to influence technical and non-technical stakeholders and drive adoption of analytics frameworks.
What success looks like:
- Business stakeholders rely on your models, dashboards, and semantic layers as trusted sources of truth.
- Data across Axios is consistent, documented, and easily understood by teams.
- Executive dashboards provide clear, actionable insights that guide company strategy.
- Mid-level analytics engineers grow under your mentorship and adopt your best practices.
- Data engineers and scientists use your frameworks and documentation as foundations for collaboration.
- Leadership views analytics engineering as a strategic enabler of efficiency, clarity, and alignment across Axios.
- You play a critical role in scaling the analytics practice—establishing modeling standards, mentoring peers, and ensuring that dashboards and metrics inspire confidence while enabling intuitive, self-service insights across the business.
Starting salary for this role is in the range of $120,000 - $185,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills. This range does not include other compensation and benefits. Axios' compensation philosophy takes into account cost of labor differentials across the country. Because this is a remote-optional job posting, this salary range takes into account all possible locations within the United States, but candidates will only be eligible for the salary range for their location.
What Axios brings to the table besides salary:
- 401(k) with employer match
- Robust PPO and High Deductible health insurance options on the Blue Cross Blue Shield network
- Employer Health Savings Account (HSA) contribution for the high deductible health plan option
- Dental and vision coverage
- Primary caregiver 12-week paid leave
- Generous vacation policy, plus holidays
- One mental health day per quarter
- Annual learning and development stipend
- $100 monthly work-from-home stipend
- Tele-mental health services through Headspace
- OneMedical membership, including tele-health services
- Personal health advocacy resources through HealthAdvocate
- Inclusive fertility, hormonal health and family forming benefits through Carrot Fertility
- Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies
- Increased work flexibility for parents and caretakers
- Virtual company-sponsored social events
- A strong and positive work environment
- A commitment to an open, inclusive, and diverse work culture
Equal Opportunity Employer Statement
Axios 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, age, gender identity, gender expression, veteran status, 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, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Axios makes hiring decisions based solely on qualifications, merit, and business needs at the time.
