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Dhaka’s Data Jobs: Seniority Beats Volume

Eleven listings reveal a concentrated Dhaka market, with only 18.2% remote roles and senior analytics positions leading the clearest path forward.

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Only 18.2% of the 11 data and analytics listings are remote. The stronger signal is seniority: Dhaka’s shortlist includes a Senior Data Operations Analyst, a Senior Data Engineer/Data Scientist, and a Junior/Data Scientist role, but the listings disclose no comparable salary figures. That means candidates should compare scope, employment status, and progression rather than assume the senior title automatically pays more.

As the breakdown above shows, this is a small, concentrated market. Commure, Pridesys IT Ltd., SuperAnnotate AI, RWS TrainAI, and nextjobz are the named employers or brands appearing at the top of the dataset. None of the supplied listings provides enough salary data to identify an above-average payer, and none confirms a night-shift premium.

11
Total job listings
Commure
Top provider

Top Employers by Listing Count

Commure 5
Pridesys IT Ltd. 4
SuperAnnotate AI 3
RWS TrainAI 2
nextjobz 1

Position Types

Full-time 50.0%
Contractor 50.0%
Career route through Dhaka’s data and analytics market

Dhaka is the clear opportunity hub

Every location explicitly shown in the supplied listings is Dhaka, Bangladesh. That concentration matters: local candidates can focus their search, while international applicants should verify work authorization, time-zone expectations, and relocation terms before investing in an application.

The data also points to a healthcare-operations route through Commure. Its Senior Data Operations Analyst listing sits in the Global Operations department and is marked full time in Dhaka. The employer describes its business as an AI operating system for healthcare, so applicants should expect operational data work tied to a specialized industry rather than a generic reporting role.

Commure’s official listing is available through its company job page. Use the posting to confirm current requirements and responsibilities before applying.

The senior title and full-time status make this the strongest progression signal in the dataset, even though compensation is not published. Candidates with operations, reporting, or healthcare-data experience should compare the role against the more junior listings and ask directly about salary bands, remote flexibility, and promotion criteria.

Top Employer Senior Data Operations Analyst

A plain Data Analyst title can be useful as a benchmark, but the supplied page gives no salary, employment type, or detailed responsibilities. Treat it as a fact-finding application: request the compensation range and clarify whether the Dhaka role covers reporting, marketing analytics, operations, or another specialty before accepting an interview.

Editor's Pick Data Analyst

Commure gives the market a clearer senior destination; the unnamed analyst listing gives you a comparison point. The next roles shift the question from title progression to technical breadth and employment structure.

Technical range matters more than the job title

The shortlist spans data science, data engineering, business analysis, and quality assurance. That mix is useful because it shows several routes into analytics, but it also makes direct salary comparisons unreliable. A Senior Data Engineer/Data Scientist may command a different market rate from a QA Business Analyst even when both appear in the same search results.

Pridesys IT Ltd.’s listing is marked full time in Dhaka, includes two vacancies, and labels salary as negotiable. That is one of the few concrete hiring signals in the dataset. “Negotiable” is not a compensation figure, so applicants should not treat it as proof of high pay; they should use the vacancy count to ask how quickly the team needs people and what skills separate the two openings.

The role is published on the Pridesys IT Ltd. careers page. The page identifies the position as Quality Assurance (Business Analyst), so candidates should read the responsibilities carefully rather than assume it is a conventional data analyst job.

Two vacancies and a negotiable salary give this listing more hiring detail than most of the dataset, but the QA and business-analysis blend changes the career route. Choose it if you want testing, validation, and requirements work alongside analysis; skip it if your target is pure machine learning or statistical modeling.

Most Flexible Quality Assurance

The Senior Data Engineer/Data Scientist title suggests the broadest technical scope among the supplied roles, but the listing excerpt does not disclose pay, location details, or employment terms. Ask which track dominates the workload—engineering pipelines or modeling—because that answer will determine the skills you build and the market you can enter next.

Best Pay Senior Data Engineer
Choosing between analytics and data engineering career paths

Early-career entry points are visible, but remote work is scarce

The Junior/Data Scientist listing is the clearest entry-level route in the supplied set. It is full time and based in Dhaka, but the page excerpt says it was posted one year ago. That age makes verification essential: confirm that the vacancy is still active before tailoring a lengthy application.

The dataset records just 18.2% remote roles, so candidates who require fully remote work face a narrow route from this particular pool. The practical move is to search beyond Dhaka-only listings while keeping local roles in play for faster market access. Hybrid terms are not supplied here, so do not assume a Dhaka listing offers home working.

RWS TrainAI, SuperAnnotate AI, and nextjobz appear among the top companies or brands in the aggregate data, but the supplied item details do not provide enough information to rank their pay, shift patterns, or benefits. That is the central limitation of this snapshot: it identifies destinations, not a reliable compensation league table.

This junior role gives recent graduates and early-career applicants a direct data-science route, but the one-year-old posting date is a warning to verify availability first. Use it to test your portfolio against employer requirements, then compare the learning path with the senior operations role rather than judging solely by title.

Junior Data Scientist

What to do with this market snapshot

Start with the roles that reveal the most about progression: Commure for a full-time senior operations path, Pridesys for a two-vacancy QA/business-analysis route, and the Junior/Data Scientist listing for an early-career entry point. Ask every employer for the salary range, working arrangement, shift expectations, and reporting line. The supplied data cannot confirm a night-shift premium because none of the listings identifies night work or publishes comparable pay.

For experienced candidates, lead with measurable operations, engineering, or modeling outcomes. For junior applicants, bring a portfolio that shows data cleaning, analysis, and communication rather than relying on a job title. Dhaka is the common destination here, but the limited remote share means location flexibility will widen your route.

For a more focused comparison of local career paths, continue with Three Data Careers in Dhaka for Analysts Who Want Range—a natural next stop for analysts deciding between breadth, seniority, and technical specialization.

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