Data Analyst

Aspire Software

. Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments .

Posted 11/4/2026full-timeBeirut • LebanonJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and Revenue Operations, with a strong focus on HubSpot management, automation of business processes, and the creation of actionable insights through data analysis. Proficient in building dashboards and reporting tools that enhance decision-making across Sales, Customer Success, Marketing, and Payments.

Highest-signal resume keywords

HubSpot ManagementSQL Data AnalysisDashboard DevelopmentWorkflow AutomationAI Agent Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsRevenue OperationsBusiness OperationsSQLDashboard BuildingAdvanced ExcelGoogle SheetsWorkflow DesignPythonJavaScript

Soft Skills

CuriosityProblem-SolvingCommunicationAdaptabilityCritical Thinking

Tools & Technologies

HubSpotBI ToolsVisualization ToolsAutomation PlatformsAPIsWebhooks

Industry Keywords

Revenue FunnelKPI TrackingCustomer SegmentationData QualityBusiness Insights

Tech Stack

Tools & technologies

JavaScriptPythonSQL

About the role

Key responsibilities & impact

Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments
Improve the accuracy, structure, and usability of HubSpot across the organization
Create a clear view of the revenue funnel from lead through acquisition, onboarding, retention, expansion, and payments adoption
Reduce manual reporting and administrative work through automation
Build AI agents and workflows focused on go-to-market and reporting
Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis
Create trusted datasets and dashboards for leadership decision-making
Identify revenue opportunities and operational issues proactively
Build and maintain dashboards, reporting, and analytical models across the customer lifecycle
Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track KPIs
Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior
Improve forecasting accuracy and pipeline management
Identify trends, bottlenecks, anomalies, and opportunities in the data
Develop customer segmentation and cohort analysis for go-to-market decisions
Translate business questions into analysis and actionable recommendations
Create scalable reporting instead of manual spreadsheets and one-off analysis
Own and continuously improve the HubSpot environment, including workflows, properties, lifecycle stages, pipelines, reporting, and automation
Improve CRM data quality, governance, and consistency
Design processes that enable Sales and Customer Success teams to use HubSpot correctly
Connect HubSpot data with other business systems and datasets
Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes
Establish scalable Revenue Operations processes
Identify manual workflows for automation
Build AI agents that analyze information, perform tasks, and support business processes
Create workflows combining AI models, internal data, APIs, and business applications
Experiment with AI capabilities and turn useful prototypes into repeatable internal tools
Build agents for research, account intelligence, reporting, data enrichment, customer insights, and internal operations
Measure automation impact on time savings, accuracy, and business outcomes
Help teams determine when to use AI, traditional automation, or analytics
Combine HubSpot and other business-system data into consistent reporting
Define source-of-truth metrics and business definitions
Identify and resolve data quality issues
Work with Product and Engineering on deeper integrations and data infrastructure
Document metrics, processes, workflows, and data definitions for scalability

Requirements

What you’ll need

2–5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role
Strong hands-on experience with HubSpot
Experience working with Sales, Customer Success, Marketing, or broader GTM organizations
Strong SQL and data analysis skills
Experience building dashboards and reporting using BI or visualization tools
Advanced Excel or Google Sheets capabilities
Comfortable working with imperfect datasets and figuring out how to make them useful
Experience designing workflows and automating business processes
Ability to translate analysis into clear business recommendations
Strong curiosity and willingness to dig into how the business actually works
Comfortable operating in a fast-moving environment where not everything has already been built
Experience experimenting with or building solutions using AI agents and agentic workflows, large language models, APIs and webhooks, workflow automation platforms, Python or JavaScript, structured prompts and tool calling, data enrichment and research automation, and connecting AI models to business applications and internal data
You do not need to be an AI engineer
You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it
Ability to build things from scratch
Curiosity about how businesses make money
Comfort moving between data analysis, systems, automation, and business conversations
Ability to ask good questions and challenge assumptions
Care for clean data while understanding that real-world data rarely starts clean
Ability to explain complicated analysis clearly
Enjoyment of experimenting with new technology and identifying where it creates real value
Desire for ownership rather than a narrowly defined list of tasks

Benefits

Comp & perks

A high-impact role with direct exposure to senior leadership
Significant ownership over analytics, RevOps, and automation projects
The opportunity to build systems and processes from the ground up
Exposure across Sales, Customer Success, Marketing, Payments, Product, Engineering, and Finance
The ability to experiment with and implement emerging AI technologies
A growing international software business with significant investment behind its next stage of growth
The opportunity to materially influence how Clubspeed and Resova operate as we scale