[Remote] Senior Analytics Engineer at Axios

Remote

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, TechnologyIndustries

Requirements

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

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

Key technologies and capabilities for this role

Analytics EngineeringData ModelingSemantic ModelsMedallion ArchitectureData VisualizationExecutive DashboardsData MartsMetric StoresData GovernanceData QualityBusiness MetricsdbtLookerTableau

Questions & Answers

Common questions about this position

What experience level is required for the Senior Analytics Engineer role?

The role requires 5-8+ years in analytics engineering, BI development, or data visualization roles.

What technical skills are essential for this position?

Expert-level SQL and proficiency in transformation frameworks like dbt are required, along with deep experience in BI and visualization tools such as Looker or Sigma, and skills in architecting curated datasets, semantic layers, and metric stores.

What tools or technologies should candidates be familiar with?

Candidates need familiarity with modern data stack technologies like Snowflake and BigQuery, in addition to dbt, Looker, and Sigma.

Is remote work an option for this role at Axios?

This information is not specified in the job description.

What does the team structure look like for this position?

You'll partner with data engineers, data scientists, product managers, and act as a trusted advisor to product, business, and editorial leaders, while mentoring mid-level analytics engineers.

Axios

Local news coverage for Charlotte community

About Axios

Axios Charlotte provides local news and information to the Charlotte, North Carolina community, covering topics like careers, real estate, travel, and food. The company generates revenue through advertising and sponsored content, leveraging its daily newsletter with over 107,000 subscribers to attract local businesses. By focusing specifically on the Charlotte area, Axios Charlotte offers in-depth coverage that is highly relevant to its audience. The goal is to keep the community informed while supporting local businesses.

Arlington, VirginiaHeadquarters

2017Year Founded

$55.4MTotal Funding

SERIES_CCompany Stage

Consumer Software, Consumer Goods, EntertainmentIndustries

501-1,000Employees

Benefits

Competitive salary

Health insurance (100% paid for individuals, 75% for families)

Primary caregiver 12-week paid leave

401(k)

Generous vacation policy, plus company holidays

Company equity

Commuter and cell phone benefit

A commitment to an open, inclusive, and diverse work culture

Annual learning and development stipend

Risks

AI-driven news platforms could challenge Axios's smart brevity approach.

Partnerships in the crypto industry may expose Axios to reputational risks.

Reliance on advertising revenue makes Axios vulnerable to economic downturns.

Differentiation

Axios delivers news with smart brevity, focusing on efficiency and shareability.

The company offers hyper-local content specific to the Charlotte community.

Axios partners with local businesses for targeted advertising opportunities.

Upsides

Local news consumption is rising, boosting Axios Charlotte's audience base.

Newsletters are growing as a primary news source, aligning with Axios's strategy.

Digital advertising spending is projected to reach $701 billion by 2025.

Land your dream remote job 3x faster with AI

Try Jobo Free