Data Analyst

Aspire Software company overview

Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

About the job

This is not a role where you spend your week pulling reports people may or may not look at.

We want someone who can get inside the business, understand how sales, customer success, marketing, payments, and finance operate, and turn messy data and manual processes into scalable systems.

You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work.

You will have significant freedom to identify problems and build solutions.

What success looks like

In your first year, you will help us:

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 entire 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 that make our teams faster and more effective; with a focus on go to market and reporting

Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis

Create trusted datasets and dashboards that leadership can use to make decisions quickly

Identify revenue opportunities and operational issues before someone has to ask

What you’ll do

Revenue operations & analytics

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 meaningful KPIs

Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior

Help improve forecasting accuracy and pipeline management

Identify trends, bottlenecks, anomalies, and opportunities hidden within our data

Develop customer segmentation and cohort analysis to support go-to-market decisions

Translate business questions into clear analysis and actionable recommendations

Create scalable reporting rather than relying on manual spreadsheets and one-off analysis

HubSpot ownership & RevOps

Help own and continuously improve our HubSpot environment

Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation

Improve CRM data quality, governance, and consistency

Design processes that make HubSpot easier for sales and customer success teams to use correctly

Connect HubSpot data with other business systems and datasets

Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes

Help establish scalable RevOps processes as the company grows

AI agents & automation

Identify repetitive or manual workflows that can be automated

Build AI agents that can analyze information, perform tasks, and support business processes

Create workflows that combine AI models, internal data, APIs, and business applications

Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools

Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations

Measure whether automation actually saves time, improves accuracy, or drives better business outcomes

Help teams understand where AI is useful and where traditional automation or analytics is the better solution

Data quality & infrastructure

Combine data from HubSpot and other business systems into consistent reporting

Help define our source-of-truth metrics and business definitions

Identify and resolve data quality issues

Work with product and engineering when deeper integrations or data infrastructure are required

Document key metrics, processes, workflows, and data definitions so systems can scale with the company

Requirements

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 go-to-market 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

AI & automation experience

We are specifically looking for someone who is excited about using AI as a practical business tool.

You should have experience experimenting with or building solutions using some combination of:

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

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.

You’ll thrive here if…

You like building things from scratch

You are naturally curious about how businesses make money

You would rather solve the underlying problem than keep producing the same report every Monday

You are comfortable moving between data analysis, systems, automation, and business conversations

You ask good questions and challenge assumptions

You care about clean data but understand that real-world data rarely starts clean

You can explain complicated analysis without making it complicated

You enjoy experimenting with new technology and figuring out where it creates real value

You want ownership rather than a narrowly defined list of tasks

What you’ll get

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