Stedi13.02.26
AI SCORE 8.5

Remote GTM Analytics Engineer - Data-Driven Insights

$180K–$230K/year

About the Role

We're hiring a Remote GTM Analytics Engineer to join our innovative team at Stedi. In this role, you will be instrumental in building and owning the data foundation that powers our go-to-market (GTM) operations. As a Remote GTM Analytics Engineer, you'll work closely with various teams to provide real-time insights into customer interactions with our products.

What You'll Do

  • Build and maintain GTM data pipelines: Own the ingestion, transformation, and syncing of CRM data (HubSpot), product-usage telemetry, billing data, and third-party enrichment data in Redshift to support GTM analytics workstreams.
  • Develop core GTM & revenue data models: Improve operational efficiency through standardization of datasets for Sales, GTM Ops, Finance, and the executive team while establishing common metric definitions across revenue, customer segments, and more.
  • Ship dashboards, alerts, and decision-making tools: Improve telemetry into business performance by building dashboards to track sales funnel performance and pipeline quality.
  • Investigate trends and build models to support sales: Accelerate sales effectiveness through implementation of alerting for critical events and conducting key analyses.
  • Own the GTM analytics roadmap: Work with GTM leadership to maintain a backlog of GTM analytics engineering work and proactively identify the next set of capabilities needed.

Requirements

  • Exceptional analytical skills with a proven track record in data-driven decision-making.
  • Proficiency in SQL for analyzing large datasets and working with complex schemas.
  • Expertise in data visualization tools like Tableau, QuickSight, or Power BI.
  • Familiarity with cloud environments (AWS, Azure, GCP).
  • Strong self-motivation and resourcefulness to execute tasks independently.

Nice to Have

  • Experience in the healthcare sector or with healthcare data.
  • Knowledge of ETL processes and data warehousing concepts.
  • Familiarity with programming languages such as Python or R for data analysis.

What We Offer

  • Competitive salary range of $180,000-$230,000, inclusive of commissions and bonuses.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with a passionate team dedicated to innovation in healthcare technology.
  • Access to professional development resources and learning opportunities.
  • A culture that values curiosity and encourages diverse perspectives.
Why This Job8.5 of 10

This Remote GTM Analytics Engineer role at Stedi offers a unique opportunity to work in a fast-paced environment, driving data insights in healthcare technology. With a competitive salary and a fully remote setup, it's an attractive position for data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in SQL for complex data manipulation and querying, with experience in building ETL processes for data pipelines using AWS services like Glue or Lambda.

Strong analytical mindset with experience in visualizing data through Tableau or Power BI, capable of translating complex datasets into actionable insights for GTM strategies.

Ability to work independently in a remote setting, demonstrating self-motivation, time management skills, and a proactive approach to problem-solving in a fast-paced tech environment.

Learning Resources

SQL for Data Sciencecourse

Career Path

Remote GTM Analytics Engineer - Data-Driven Insights(Now)Data Analytics Manager(1-2 years)Senior Data Architect(3-5 years)

Market Overview

Market Size 2024
$11.5B
Annual Growth
12.5%
AI Adoption in Analytics
45%
Investment in Data Analytics Tools
+25%
Labour Demand for Analytics Engineers
+30%
Avg Salary for GTM Analytics Engineer
$110K

Skills & Requirements

Required
SQLTableauQuickSight
Growing in Demand
Python for Data AnalysisMachine LearningData Visualization with D3.js
Declining
Crystal ReportsMicrosoft Access

Domain Trends

Increased Adoption of Cloud Analytics
Over 60% of organizations are migrating their analytics workloads to cloud platforms like AWS, Azure, and GCP, driven by scalability and cost-efficiency.
Integration of AI in Analytics
AI-driven analytics tools are predicted to grow by 35% annually, allowing for more predictive insights and automation in data analysis.
Demand for Real-Time Data Processing
Companies are increasingly prioritizing real-time analytics, with 70% of businesses stating it is critical for decision-making, leading to a surge in demand for skills in tools like Apache Kafka and AWS Kinesis.

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