Remote Jobs

Skillshare logo

Data & Analytics Lead

Skillshare

Location
Canada
Posted
Salary Range
120k - 143k USD

Lead data-driven insights at Skillshare, partner with cross-functional teams, and support strategic decision-making using SQL and BI tools like Looker, Tableau, or Power BI. Join a culture of collaboration and innovation.

Lumos logo

Lead Data Engineer

Lumos

Location
United States of America
Posted

Lead Data Engineer at Lumos: Design & implement scalable data pipelines for analytics & AI-driven solutions.

Nutrafol logo

Manager, Data Engineer

Nutrafol

Location
United States of America
Posted
Salary Range
130k - 145k USD

Data Engineer at Nutrafol: Develop impactful data features, collaborate with cross-functional teams, and drive business decisions.

Nutrafol logo

Manager - Data Engineer

Nutrafol

Location
United States of America
Posted
Salary Range
130k - 145k USD

Transform business requirements into technical solutions, enhance database design, and support data-driven decisions at Nutrafol as a Data Engineer. Work with cross-functional teams to gather insights and ensure high-quality data for strategic initiatives.

Gitlab logo

Director, Enterprise Applications (Quote to Cash)

Gitlab

Location
Brazil
Posted
Salary Range
159k - 238k USD

Lead Quote to Cash technology solutions at GitLab, collaborating with cross-functional teams to drive business transformation and system scalability.

Vonage logo

Mid-Market Account Executive (API/CPaaS)

Vonage

Location
United States of America
Posted

Drive growth for Vonage's API/CPaaS solutions as a Mid-Market Account Executive by expanding customer relationships and cultivating new opportunities within high-growth digital and cloud software companies. Utilize value-based sales methodologies and collaborate with cross-functional teams to achieve sales targets.

Binance logo

Data Analyst

Binance

Location
Brunei Darussalam
Posted

Data Analyst at Binance: Analyze large transactional data, build visualizations & machine learning models, translate findings into simple recommendations.

reserv logo

Data Analyst

reserv

Location
Georgia
Posted

Data Analyst at Reserv, working on AI-driven claims automation and delivering high-fidelity data insights.

Welltech logo

Data Analyst

Welltech

Location
Spain
Posted

Join Welltech as a Data Analyst and contribute to creating impactful solutions for users in the Health & Fitness industry.

BPM LLP logo

Data Analyst

BPM LLP

Location
India
Posted

Data Analyst at BPM: Develop Qlik dashboards, manage ad-hoc data requests, and collaborate with cross-functional teams in a forward-thinking accounting firm.

Vonage logo

Emerging Market Account Executive (API/CPaaS)

Vonage

Location
United States of America
Posted

Drive sales growth by building relationships with tech-savvy customers and targeting high-growth companies in emerging markets for Vonage's cloud communications solutions. Enjoy comprehensive benefits including health coverage, retirement plans, unlimited PTO, and more.

Tanium logo

Renewal Account Manager, Mid-Market

Tanium

Location
United Kingdom
Posted

Manage renewals, upselling, and cross-selling opportunities while maintaining strong client relationships in the IT Operations or IT Security space. Collaborate with internal teams to ensure seamless account management processes.

Machine Learning Scientist

Coursera

Location
India
Posted

Join Coursera's Discovery Science ML team to develop personalized search and recommender systems

1Password logo

Staff Data Engineer

1Password

Location
Canada
Posted
Salary Range
158k - 239k USD

Staff Data Engineer at 1Password: lead data pipeline development, optimize query performance, and build scalable services on public cloud infrastructure.

brightwheel logo

Staff Data Engineer

brightwheel

Location
Brazil
Posted

Staff Data Engineer at Brightwheel: Build scalable web scraping platforms, deliver best-in-class infrastructure solutions, and drive business insights with millions of records.

Rackspace logo

Data Modeller - Insurance

Rackspace

Posted

Design and implement effective database solutions for the insurance industry using Databricks and Lakehouse architecture. Collaborate with teams to build robust data models and ensure compliance with audit requirements.

Apollo.io logo

Senior Data Scientist - Go-To-Market (GTM)

Apollo.io

Job Summary

Apollo.io seeks a Senior Data Scientist to enhance Go-To-Market strategies through data-driven insights. The role involves analyzing customer acquisition channels, identifying opportunities to drive revenue growth, and collaborating with cross-functional teams. As a remote-first company, Apollo invests in employee growth, autonomy, and collaboration. The ideal candidate has experience in GTM Analytics, expertise in translating complex data into actionable insights, and proficiency with data analytics tools.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to enhance our Go-To-Market strategies through data-driven insights. In this role, you will focus on optimizing sales, support, or marketing efforts, analyzing customer acquisition channels, and identifying opportunities to drive revenue growth. You will collaborate closely with cross-functional teams, including Sales, Marketing, Finance, and Product, to inform and refine our GTM approach.

What You’ll Do:

  • Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
  • Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
  • Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
  • Work closely with Sales, Marketing, Finance, and Product teams to provide data-driven recommendations that enhance lead generation, conversion rates, and overall revenue.
  • Analyze pricing strategies and product offerings to determine optimal configurations that maximize market penetration and profitability.
  • Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
  • Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.

What You Bring:

  • Experience in GTM Analytics or similar role, with a proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
  • Expertise in translating complex data into insights that are actionable for cross-functional teams.
  • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
  • Experience in building and maintaining reliable analytics infrastructures.
  • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
  • Experience with 0 to 1 product initiatives is a plus, though not required.
  • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.

Qualifications:

  • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
  • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
  • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
  • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
  • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

As a remote-first company, we invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.