A junk removal data analyst pulls jobs, routes and costs from the CRM, dispatch software, truck GPS and dump tickets into dashboards leaders check every week. They track revenue per truck-day, dump fees per ton, booking rates by lead source, routing time and how much of each load stays out of the landfill.
By the HireBus team · Updated · Pay data: BLS, May 2025
Median pay, administrative, support, and waste services businesses · BLS, May 2025
[Chief Operating Officer or Chief Financial Officer]
Location:
[INSERT LOCATION HERE]
1. Position Summary
Responsible for collecting, analyzing, and visualizing data to drive strategic decisions in the junk removal industry. Develops dashboards that provide critical insights on revenue per truck, cost per ton, lead sources, and routing efficiency. Plays a pivotal role in transforming raw data into actionable intelligence for leadership. Supports continuous improvement initiatives by identifying trends and areas for operational efficiency.
2. Essential Duties and Responsibilities
Build and maintain interactive dashboards for revenue per truck, cost per ton, lead sources, and routing efficiency.
Analyze large datasets to provide actionable insights and strategic recommendations to leadership.
Collaborate with cross-functional teams to ensure data accuracy and streamline reporting processes.
Prepare regular reports and presentations to support data-driven decisions across operations.
3. Key Tasks / Daily Activities
Extract and cleanse data from various sources, ensuring integrity and reliability of information.
Monitor daily operational performance metrics and update dashboards in real-time.
Communicate findings and recommendations with operations and management teams.
Troubleshoot data discrepancies and implement process improvements for efficient reporting.
4. Key Performance Indicators (KPIs)
Revenue per Truck: Achieve an average of $1,000 per truck per day.
Cost per Ton: Maintain operational costs within a 10% variance of target metrics.
Lead Source Conversion Rate: Increase conversion by at least 15% quarter-over-quarter.
Routing Efficiency: Improve route optimization achieving a minimum 20% time-saving per route.
5. Required Qualifications and Skills
Bachelor’s degree in Business Analytics, Data Science, or a related field.
Minimum of 2 years of experience in data analysis or business intelligence roles.
Proficiency with BI tools (e.g., Tableau, Power BI) and advanced Excel skills.
Strong analytical mindset with excellent communication and presentation skills.
6. Preferred Experience
Experience in the junk removal or home services industry.
Familiarity with SQL and database management system technologies.
Demonstrated ability to translate complex data into clear, actionable insights.
Prior experience working in fast-paced operational environments.
7. Physical Requirements
Ability to sit for extended periods while working on computers.
Occasional lifting of lightweight materials (up to 10 lbs) for data collection equipment.
Work primarily in an office environment with minimal physical demands.
Maintain focus in a dynamic setting with periodic onsite visits.
8. Work Environment and Schedule
Standard office hours (Monday through Friday, 8:00 AM - 5:00 PM).
Occasional travel to operational sites for data collection and process review.
May be required to participate in extended hours during critical reporting periods.
Maintain a collaborative approach in a team-oriented work environment.
9. Compensation and Benefits
Salary range: $70,000 - $90,000 per year depending on experience.
Eligibility for performance-based bonuses.
Comprehensive health, dental, and vision insurance plans.
401(k) plan with company match and additional fringe benefits such as paid time off.
10. Company Culture and Overview
We foster a culture of innovation, accountability, and continuous improvement.
Our team is dedicated to excellence and recognizes every member’s contributions.
We value personal growth and offer ongoing learning opportunities to help you level up in your career.
We maintain a supportive, inclusive environment where every voice is heard and respected.
11. How to Apply
If you meet the above criteria and want to be part of a growth-oriented company focused on customer satisfaction, please send your resume to [INSERT EMAIL HERE] or apply online at [INSERT WEBSITE LINK HERE].
Need help filling this role? HireBus posts the ad, Iris interviews every applicant by phone before you do, and you decide who to hire. Start hiring now
The product is a cleared room and an empty truck, so the numbers come from places most analysts never see: dump tickets, GPS pings and crew phones. Getting those sources to agree is half the job.
Revenue has to land on a truck and a day
Leaders want revenue per truck per day, but the CRM records jobs, dispatch records routes and payroll records crew hours. The analyst joins them on truck number and date, then settles the odd cases: a job split across two trucks, a cleanout over three days, a truck that ran half a day after a breakdown. Those rules get written down once so every branch is counted the same way.
Turning truck space into tons
Crews quote a pile by the share of truck space it takes up, and many dump sites charge by weight. By matching each job's volume to its ticket weight over hundreds of loads, the analyst learns what a quarter load of roofing or a full load of furniture usually weighs. Dispatch uses that to keep heavy jobs under a truck's limit, and pricing uses it to set surcharges.
One customer can look like three leads
A homeowner may fill out the web form, call the tracking number on the truck and then text the office, all for the same garage. Counted raw, that's three leads and one booking, which makes every channel look worse. The analyst matches leads by phone number and address before working out booking rates, and decides which touch gets credit for the job.
GPS data is about people too
Truck GPS shows where a crew was and for how long, so it is data about workers, not only trucks. Connecticut requires employers that monitor electronically to give prior written notice of the types of monitoring, and a posted notice counts. The law covers monitoring on the employer's premises and doesn't say whether a truck is one, so ask your lawyer. Either way, tell crews in writing, and keep reports on single drivers to the managers who need them. Source: Connecticut General Statutes Sec. 31-48d: Electronic monitoring notice.
How much junk removal data analysts make
The closest BLS group for junk removal data analysts is data scientists. Data scientists who work for administrative, support, and waste services businesses earned a median of $48.46 an hour ($100,790 a year) in May 2025, according to the Bureau of Labor Statistics. That’s below the $120,230 median for data scientists in all industries. About 15,570 of the 262,440 data scientists in that survey work for administrative, support, and waste services businesses.
Usually a salary, with a yearly bonus when the reports land on time and leaders use them. BLS counts business intelligence analysts together with data scientists, so compare these figures with local postings for BI and reporting analysts before you set an offer.
Administrative, support, and waste services businesses
$100,790$100,790 median Middle half $76,950–$134,010 10th–90th $57,150–$172,850
All industries
$120,230$120,230 median Middle half $85,660–$158,880 10th–90th $67,240–$199,130
$25k$50k$75k$100k$125k$150k$175k$200k$225k
10th–90th percentileMiddle halfMedianAnnual pay, May 2025. Source: BLS Occupational Employment and Wage Statistics.
Annual pay by percentile
Group
10th
25th
Median
75th
90th
Administrative, support, and waste services businesses
$57,150
$76,950
$100,790
$134,010
$172,850
All industries
$67,240
$85,660
$120,230
$158,880
$199,130
BLS doesn’t publish pay for data scientists at waste collection companies on their own, so these figures cover administrative, support, and waste services businesses. Post a real range for your market in the ad.
The pay line in the template above is an example from our Role Blueprint. Set yours from these figures and what local companies pay.
Skills to hire for, and what you can teach
Hire for these
Writes SQL and builds Power BI or Tableau reports from messy exports
Joins data from systems that don't share an ID, and writes down how
Explains a number to a branch manager who came up on the trucks
Checks a surprising result twice before it goes to leadership
Knows when a quick spreadsheet answer beats a new dashboard
Teach these on the job
Your CRM, dispatch and GPS exports and their quirks
How each transfer station prices and weighs loads
Your job types, truck sizes and volume-based price sheet
How the warehouse estimates donated weight for the diversion rate
Your branch P&L layout and month-end calendar
Expect Excel, Power BI or Tableau, SQL against a reporting copy of the CRM, and exports or connections from dispatch, GPS and call tracking tools. Ask finalists which of these they've pulled data from, and have them walk you through a report they built.
Junk removal data analyst interview questions
Two of the 6 questions we'd ask, and what a strong answer sounds like. Ask every candidate the same questions, and rate each answer on your own before you compare notes.
Situational · Lead source attribution
Marketing says Google Ads drives most jobs. The CRM says referrals do. How do you find the truth?
A strong answer: Checks how CSRs code sources, call tracking data, duplicates and attribution rules, agrees on what counts as a booked job, and recommends a tracking fix.
Behavioral · Influencing decisions
Tell me about a time your analysis changed a leader's decision.
A strong answer: Names the question, the finding, how they presented it and the decision that changed.
The template's figures read like goals for the business more than for the analyst. Use them as examples, and hold the analyst to getting each number right, on time and in front of the people who act on it.
Revenue per Truck
Job revenue divided by truck-days worked, using the written rules for split and multi-day jobs. Show it by branch, truck size and week.
Cost per Ton
Disposal fees from tickets divided by tons dumped, by site and branch. Loads charged by volume need a standard weight estimate applied the same way every month.
Lead Source Conversion Rate
Booked jobs divided by matched leads, by source, from call tracking and the CRM. Count finished jobs too, since a booking that cancels brings in nothing.
Routing Efficiency
Drive time and miles per job from GPS, compared before and after a routing change. Hold the job mix steady, or a week of nearby cleanouts looks like better routing.
Career path
DispatcherLearns how jobs, trucks and routes really fit together.
Data analyst / BI specialistBuilds the reports every branch runs on.
Senior analyst or analytics leadOwns forecasting, pricing tests and the reporting tools.
When the CRM's built-in reports stop answering the questions leaders ask, like which branch loses money on heavy loads or whether last month's price change worked. Other signs: managers keeping their own spreadsheets that disagree, month-end numbers arriving weeks late, and nobody able to say which marketing source brings jobs that actually get done.
How much does a junk removal data analyst make?
Data scientists who work for administrative, support, and waste services businesses earned a median of $48.46 an hour ($100,790 a year) in May 2025, according to the Bureau of Labor Statistics. The middle half earned between $76,950 and $134,010 a year. Pay also depends on your local market, experience and overtime.
How do I test a data analyst candidate?
Send a small file: a week of jobs from the CRM and photos of dump tickets for the same trucks. Ask for revenue per truck-day and cost per ton, plus a few lines on whatever failed to match up. Those lines tell you more than the chart. Strong candidates ask how a multi-day job should count before they start.
Is the analyst the same as the controller?
No. The controller closes the books and owns the official financial numbers. The analyst explains why operating numbers moved and builds the daily and weekly views that branches use. They should share one revenue figure, so the analyst starts from the same job and invoice data accounting uses and ties out to it each month.
What should the analyst's first project be?
One revenue-per-truck-day report that every branch manager trusts. Agree on the rules, build it, and check it against the books for a past month. Leaders will lean on that number for crew counts and truck purchases, so get it right before adding routing or marketing dashboards.
Can a junk removal data analyst work remotely?
Mostly. The data lives in cloud systems. Still, plan a few days on trucks, at the call center and at a transfer station early on. An analyst who has seen a crew size up a pile and watched a truck cross a scale writes far better rules for the data.
