Data Scientist

Megaport

Sales Operations Manager supporting growth and operational scaling of compute-focused products at Megaport. Collaborating with various teams to enhance sales productivity and operational execution.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing predictive forecasting models and analytics frameworks, with strong capabilities in SQL, Python, and data visualization. Proven ability to collaborate with cross-functional teams to enhance data governance and support executive decision-making.

Highest-signal resume keywords

Data Science ExperienceSQL ExpertisePython ProgrammingPredictive Analytics ModelingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive Forecasting ModelsStatistical ModelingData AnalysisOperational Intelligence SolutionsKPI GovernanceData Quality AnalysisForecasting TransformationChurn AnalysisSales Dataset AnalysisBusiness Model Analysis

Soft Skills

CollaborationBusiness Stakeholder EngagementCommunication

Tools & Technologies

DashboardsData Analytics FrameworksData Governance Tools

Industry Keywords

SaaS Business ModelsRevenue IntelligenceOperational EfficiencyCustomer Behavior AnalysisGTM Data Architecture

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop predictive forecasting models and pipeline analytics frameworks
Analyze sales productivity, customer behavior, operational efficiency, and revenue trends
Build scalable dashboards, models, and operational intelligence solutions
Partner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency
Support AI readiness initiatives through data quality analysis and modeling
Collaborate with Data Engineering teams to improve GTM data architecture and integration quality
Identify operational inefficiencies and recommend data-driven process improvements
Develop analytical frameworks supporting marketplace, channel, and consumption-based business models
Support executive decision making through advanced reporting and business analysis
Assist with data governance, metric standardization, and forecasting transformation initiatives
Build models supporting customer expansion, renewals, and churn analysis

Requirements

What you’ll need

5+ years of Data Science, Analytics, or Revenue Intelligence experience
Strong SQL, Python, and statistical modeling expertise
Experience working with large operational and sales datasets
Experience building forecasting and predictive analytics models
Strong data visualization and dashboarding capabilities
Experience partnering with business stakeholders and executive teams
Strong understanding of SaaS or technology business models
Ability to translate technical findings into business recommendations

Benefits

Comp & perks

Flexible working environments
Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave.
Creative, fun, and contemporary work environments
Motivated team of industry experts and plenty of learning opportunities
Celebrated success with internal awards programs
Health and wellness program
Generous performance bonus structure