Remote Data Analyst

𝐃𝐀𝐓𝐀 𝐀𝐍𝐀𝐋𝐘𝐒𝐓

Careers at Job-Hopper | job-hopper.io

Before we get to the role, here is a look at who we are and what we are building. Understanding the platform matters for this position, so we have included a short briefing below.

𝐖𝐇𝐘 𝐖𝐄'𝐑𝐄 𝐇𝐈𝐑𝐈𝐍𝐆

Job-Hopper is growing. After launching in 2026, the platform has been gaining steady traction and helping a growing number of job seekers get where they want to go. To keep that momentum, we are expanding our team and looking for a Data Analyst to help us turn a growing pool of data into sharper insight and a stronger product.

𝐖𝐇𝐀𝐓 𝐒𝐄𝐓𝐒 𝐉𝐎𝐁-𝐇𝐎𝐏𝐏𝐄𝐑 𝐀𝐏𝐀𝐑𝐓

Job-Hopper is not another job board. It is a candidate-centric platform built for one purpose: to give job seekers a real strategic advantage in their search.

To understand what makes it different, it helps to understand how the rest of the industry works. Legacy job boards are funded by employers. Their revenue comes from companies paying to post openings, so their platforms are built to serve those companies - cutting clutter and saving hiring teams time, while pushing the hard work and frustration onto the job seeker. They are free to apply on, but that is precisely the problem. Reaching the interview stage has become daunting. These boards are crowded with ghost jobs, stale postings, and outright fake listings designed to harvest applicant data.

We hear it every day. Job seekers are spending more time and energy than ever with less to show for it: hours of scrolling and applying, hundreds of submissions, and often not even a call back.

The established recruiting professionals behind Job-Hopper heard this same story from candidate after candidate. Many were strong applicants the traditional recruiting model simply could not place. That gap is what led to Job-Hopper. Development began in early 2025, the platform came to life late that year with the help of many stakeholders, and after an initial launch in 2026 it has been gaining traction and helping job seekers ever since.

𝐇𝐎𝐖 𝐉𝐎𝐁-𝐇𝐎𝐏𝐏𝐄𝐑 𝐖𝐎𝐑𝐊𝐒

Job-Hopper starts with the candidate, not the employer. When a user builds their profile, our proprietary AI engine goes to work around the clock. It scans the internet for job postings from every source and vets each one for recency, legitimacy, and quality. When a posting looks off, the engine throws it out.

Once a listing clears that filter, Job-Hopper matches the best opportunities to each user's profile in real time. Instead of scrolling through endless postings, users are notified the moment a strong match becomes available. The searching and vetting happen in the background, so the candidate can focus only on the opportunities that actually fit.

𝐓𝐇𝐄 𝐓𝐎𝐎𝐋𝐒 𝐓𝐇𝐀𝐓 𝐆𝐈𝐕𝐄 𝐂𝐀𝐍𝐃𝐈𝐃𝐀𝐓𝐄𝐒 𝐀𝐍 𝐄𝐃𝐆𝐄

Once a match is found, a user can apply in a single click, or reach for the enterprise-grade tools that set Job-Hopper apart:

- 𝐑𝐞𝐬𝐮𝐦𝐞 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭 that tailors a candidate's resume to the specifications of each role, helping them stand out.

- 𝐀 𝐬𝐩𝐨𝐧𝐬𝐨𝐫𝐬𝐡𝐢𝐩 𝐟𝐢𝐥𝐭𝐞𝐫 that shows only roles offering H1B visa sponsorship, saving sponsorship seekers countless hours applying to jobs they were never eligible for.

- 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧, including mock interview questions and coaching that help candidates walk in ready.

- 𝐇𝐢𝐫𝐢𝐧𝐠 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, one of our most valued features. Our AI engine identifies the actual hiring manager behind a posting and surfaces their contact details, including name, title, phone, and email. It can even draft a professional outreach email to introduce the candidate directly, skipping the pile of 200 resumes and going straight to the source.

Match quality is shown through clear percentage-based match scores, so candidates always know how well an opportunity fits before they invest their time. Job-Hopper supports job seekers across technology, manufacturing, analytics, engineering, and beyond, whether they are landing a first role, changing jobs, or advancing an established career. This is the platform we have built, and which you would help us build upon and improve to help more job seekers.

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𝐓𝐇𝐄 𝐑𝐎𝐋𝐄: 𝐃𝐀𝐓𝐀 𝐀𝐍𝐀𝐋𝐘𝐒𝐓

𝐎𝐕𝐄𝐑𝐕𝐈𝐄𝐖

We are seeking a Data Analyst to help turn Job-Hopper's growing pool of data into clear, actionable insight. This role supports business operations and product decisions by analyzing data across the platform, identifying trends, and helping the team make informed, data-driven decisions. You will work cross-functionally with people across product, marketing, and operations in a collaborative, fast-moving environment. It is a strong fit for an analyst with roughly 2 to 3 years of experience who is ready to take ownership and grow alongside an early-stage company.

𝐖𝐎𝐑𝐊 𝐀𝐔𝐓𝐇𝐎𝐑𝐈𝐙𝐀𝐓𝐈𝐎𝐍 & 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒𝐇𝐈𝐏

We actively encourage applications from candidates who require U.S. work authorization sponsorship, including individuals on H1B, OPT, and STEM OPT. Sponsorship support may be available for qualified candidates.

𝐊𝐄𝐘 𝐑𝐄𝐒𝐏𝐎𝐍𝐒𝐈𝐁𝐈𝐋𝐈𝐓𝐈𝐄𝐒

- Collect, analyze, and interpret data from across the platform and multiple internal sources

- Build reports, dashboards, and visualizations that support business and product decisions

- Track key metrics such as user engagement, match quality, and conversion, and surface the trends behind them

- Identify patterns and opportunities for process and product improvement

- Collaborate with product, marketing, and operations teams on operational and strategic initiatives

- Maintain data accuracy, integrity, and consistency across systems

- Assist with data validation, reporting automation, and performance tracking

𝐐𝐔𝐀𝐋𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒

- Bachelor's degree in Data Analytics, Business, Information Systems, Mathematics, or a related field preferred, but not required

- Roughly 2 to 3 years of experience in a data analysis or related role

- Experience with data analysis tools such as Excel, SQL, Power BI, Tableau, or similar

- Strong analytical and problem-solving skills

- Ability to communicate insights clearly to both technical and non-technical stakeholders

- Comfort working in a fast-paced, collaborative, early-stage environment

𝐍𝐈𝐂𝐄 𝐓𝐎 𝐇𝐀𝐕𝐄

- Experience with Python, R, or other analytics tools

- Familiarity with modern data stacks or cloud-based databases

- A self-starter mindset with the drive to take ownership and see work through without heavy oversight

- Vision and ambition, with an interest in growing into greater responsibility as the company scales

- The adaptability to wear several hats and move quickly in a rapidly growing company

- An interest in the recruiting, HR technology, or job search space and in the mission of helping job seekers succeed