Business Data Analyst

RGIT Australia; Hamilton; On-site; CAD 111,000 - 139,000; Full time

Benefits offered by this job

Annual Bonus

Health & Wellness Spending Accounts

Perkopolis Staff Discounts

On-site Gym + Planet Fitness

Coffee Bar with Barista

Unlimited Snacks

Monthly events and daily breakfast

Professional Growth Opportunities

Job summary

Space Ops is seeking a Data Analyst to uncover insights from large data volumes, identify inefficiencies, and translate findings into actionable business recommendations. You will work closely with management to shape analytics capabilities and ensure responsible handling of customer and payment data.

The role emphasizes curiosity, root-cause analysis, and solving problems without a predefined playbook. You’ll build dashboards, backtest ideas, and communicate clear decisions to leadership.

Qualifications

• Strong SQL skills and ability to work with large datasets.
• Experience turning data into actionable business recommendations.
• Ability to design and build dashboards and recurring reporting.
• Experience with secured data and PII handling responsibilities.

Responsibilities

• Pull and analyze data continuously; write queries and reports.
• Hunt for anomalies and surface unusual patterns.
• Identify efficiencies and quantify opportunities; propose actions.
• Do root-cause analysis and reproduce issues to isolate sources.
• Translate numbers into concise leadership recommendations.
• Backtest hypotheses against historical data to validate ideas.
• Create clear, concise dashboards and BI reports for stakeholders.

Skills

Strong SQL

Data analysis

BI dashboards

Root-cause mindset

On-call rotation

PII data handling

Tools

Power BI

Tableau

Looker

Python

R

Job description

Full-time Permanent Associate

Posted 10 Aug 2026

Description

Some people look at a dashboard and see a board. You see the one numberthat’swrong and youcan’tlook away until you know why.Space Ops isa payments company that works with enormous volumes of data every day, andwe’relooking for a Data Analyst who is passionate about uncovering insights,identifyingefficiencies, and solving problems. Success in this role requires more than technical skills.We’relooking for someone who notices the details others miss, challenges assumptions, and keeps digging until they understand exactlywhat’sbehind the numbers. Meticulous, detail-obsessed, allergic to “good enough.”That’sthe energy.

This is a role for a genuine data nerd, but not one who hides behind a dashboard.You’llinvestigate anomalies, uncover root causes,validateideas with data, and turn insights into actionable business recommendations. Working closely with management,you’llsolve complex problems, help shape reporting and analytics capabilities, and ensure customer and payment data is handled responsibly. Ifyou’reexcited by challenges thatdon’tcome with an established playbook,you’llthrive here.

We move fast and encourage people to use every modern tool available to work smarter and more efficiently. But toolsdon’treplace judgement. The value comes from asking the right questions,validatingassumptions, investigating anomalies, and understanding the story behind the data.Above all, weuse data to prove ideas, not just support them and to drive meaningful business decisions.

WhatYou’llBe Doing

Data Analysis & Problem Solving

• Pull and analyzedata,constantly.Write queries, build reports, and dig through our data to answer the question of the day (and the three questions it leads to).
• Hunt for anomalies.Surface unusual patterns in the data and flag them before they become problems.
• Find efficiencies.Identifywhere money, time, or processing is leaking, quantify the opportunity, and tell us not justwhat'shappening, but what we should do about it.
• Get to the root cause.Don'tstop at the number; figure outwhat'sbehind it. Reproduce issues, test things hands-on, and trace a problem from symptom to source until you know exactlywhat'swrong and why.
• Solve the unusual.Take on problems thatdon'thave an off-the-shelf answer, and work with management to invent one.Think outside the box, propose approachesnobody'stried, and be ready to learn as you go.
• Prove your ideas before we bet on them.Backtestyour hypotheses against historical data to see whether a solution would actually haveperformed. Bring us the evidence, not just the idea.
• Translate numbers into decisions.Turn your analysis into clear, concise recommendations for leadership: no jargon, just the insight and the "so what."

Reporting, Insights & Business Enablement

• Recommend new reporting.Don'tjust run the reports we have; tell us which oneswe'remissing. Design and build dashboards and recurring reporting that give the team visibility theydidn'thave before.
• Specwhat gets built.When something needs to be built by the team rather than by you alone, write clear, well-scoped PRDs that define what should be built: what it should show, why, and how it should work, so it gets built right the first time.
• Be the go-to data person.Become the person teammates come to when they need a number, a trend, or a sanity check.

Operational Support & Data Stewardship

• Jump on issues when they hit.Be part of an on-call rotation to help diagnose and resolve problems when they happen, including the occasional night or weekend. When things are down, every minute counts, andyou'llbe one of the people we count on.
• Handle data responsibly.Work with secured systems and personally identifiable (PII) customer data the right way, following access controls, privacy standards, and security best practices at every step.

What We're Looking For

Passion is the price of entry here, but itisn'ta substitute for skill. The strongest candidates bring both. The first three below are non-negotiable; the rest matter, but you can grow into some of them.

• Passion,first and foremost.You'regenuinely energized by finding efficiencies, improvements, and the story hidden in the data.Thisisn'ta box to check;it'showyou'rewired.(Non-negotiable.)
• A root-cause mindset.You'renot satisfied knowing thatsomething'swrong; you want to know why, andyou'lltest, reproduce, and investigate until you do. (Non-negotiable.)
• Strong SQLand real comfort working with large datasets. You can get your own answers without waitingonanyone. (Non-negotiable.)
• An outside-the-box thinker who loves to learn.You'reenergized by problems thatdon'tcomewith a knownanswer,you'recomfortable inventing your own approach, and you pick up new things fast.
• Meticulous anddetail-obsessed.You notice thesmall thingsothersmiss;you double-check your work, and a numberthat'sslightly off will bother you untilit'sexplained (Within reason: thorough, not paralyzed.).Chasingthe last 0.3% isrewardingand exciting.
• You use modern toolswell andown the judgment.You reach for whatever helps you work faster and sharper, but you never outsource your thinking to a tool. You trust an output only as far as the foundation behind it holds up.
• The ability to take a messy, open-ended question and turn it into a clear analysis with a recommendation attached.
• A business brain, not just a data brain.You see how every number ties back to a business outcome: revenue, cost, risk, or the customer. You frame your findings around what they mean for the company, not just what they show.
• Youactually usethe product space.You buy things online and pay attention to how checkout and payment experiences feel, so you understand the customer's side of the data, not just the rows in a table.
• Experience working with secured data and PII.You understand how to handle sensitive customer data responsibly. Access controls, data privacy, and security best practices are second nature to you.
• Comfortable writing PRDs / requirements docs.You can clearly specify what a report or dashboard should do so a technical team can build it, defining scope, logic, and the "why" behind it.
• Willing to beon-call.You'reokay with an on-call rotation and the occasional off-hours call when something needs diagnosing, and honestly, a little excited to be the one who fixes it.
• Strong written and verbal communication.You can explainfindingsto someone whodoesn'tlive in the data.
• Experience building reports and dashboards in a BI tool (e.g., Tableau, Power BI, Looker, or similar).
• Solid grasp of spreadsheets (Excel / Google Sheets) for quick analysis and modeling.
• Comfortable working on-site, collaborating shoulder-to-shoulder with the team and leadership.

Youdon'tneed every bullet on this list. But if the first threedon'tsound like you, thisprobably isn'tyour role, andthat'sokay.

Nice to have

• Experience in payments, fintech, banking, or e-commerce.
• Familiarity with Python or R for deeper analysis.
• Understanding ofdata privacy / security frameworks relevant to payments (e.g., PCI-DSS, GDPR, or similar).
• Experience setting up automated / recurring reporting from scratch.

The Team You'll Join

Here'sthe honest version, becauseA playerscan smell spin a mile away:we'rebuilding a team where the bar is high and rising, andyou'dbe one of the people who sets it. We hold a high standard for who we let through the door, and it climbs with every hire. Decisions get made on merit and evidence, and "because we've always done it that way" isn't an answer anyone accepts. As an early, defining hire, youwon'tjust clear the bar;you'llhelp raise it, andyou'llhave a real hand in shaping how this team works and who joins it next.

Ifyou'veever been the only one in the building whocared this muchabout getting it right, this is your chance to stop being that person, and to help build the team you wishyou'dhad.

• $80,000 - $100,000 Annual Compensation.
• Annual Bonus.
• Health & Wellness Spending Accounts.
• Perkopolis Staff Discounts.
• On-site Gym + Planet Fitness Membership Concession.
• Coffee Bar with Barista + Unlimited Snacks.
• Monthly Events, Friday Lunches & Daily Breakfast.
• Professional Growth & Development Opportunities.

Space Ops welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

AIDisclosure:Aspart of our recruitment process, we may use AI-enabled tools to support the screening and assessment of applications. All AI-generated recommendations and outputs are reviewed andvalidatedby our recruitment team.

Company Overview

At Space Ops, we're a team of innovators, problem-solvers, and builders passionate about creating technology that makes a difference. We thrive on collaboration, curiosity, and continuous learning, empowering every team member to make an impact. If you're looking for meaningful work, opportunities to grow, and a fun, supportive culture where great ideas come to life, Space Ops is the place for you.