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Currently available for select engagements

Hire Data Analyst in Dhaka
Senior, direct, no layers

Hire a Data Analyst in Dhaka: answers from your own numbers: dashboards and analyses that change decisions. Remote hire for garment exporters, IT firms, and e-commerce brands in Dhaka, working in Bangla and English and around the platforms Dhaka businesses already use.

Dhaka — Data Analyst

A senior data analyst in Dhaka

For garment exporters, IT firms, and e-commerce brands in Dhaka, hiring a data analyst remotely only makes sense when the work fits how the city already buys and sells. Dhaka's market blends export scale with a mobile-first domestic economy: garment exporters who need credible online presence for overseas buyers, and local brands whose customers pay by mobile money and discover products on Facebook. That is the brief this engagement is built around: answers from your own numbers: dashboards and analyses that change decisions.

The engagement is deliberately narrow at first. Good analysis starts with the decision, not the dataset: what will you do differently if the number is high versus low? If nothing, the report is decoration. One workflow, one clear success measure, and documentation your team keeps, before any wider scope is discussed.

This engagement fits garment exporters, IT firms, and e-commerce brands that want senior, direct delivery: one person accountable, no account-manager layers, and honest limits stated up front. It does not fit a business looking for the cheapest quote or a hands-off vendor who disappears after kickoff. Book a free discovery call and the fit is tested on one real workflow before any wider scope is agreed.

What you get

What this engagement covers in Dhaka

  • pricing analysis comparing margin across products and channels.
  • a data cleanup so reports stop disagreeing with each other.
  • automated reporting that replaces manual spreadsheet assembly.
  • a forecasting model for demand, revenue, or capacity planning.
  • a tracking audit so analytics measures what the business thinks it measures.
  • a KPI dashboard for the numbers leadership checks weekly.
The systems Dhaka businesses actually run

Built on your stack, not on top of it

Two stacks meet in this engagement. The data analyst stack is SQL, Python, spreadsheets, and business-intelligence tools. The local stack is what Dhaka customers already use: bKash, Nagad, and Rocket for everyday mobile money, Daraz and Facebook commerce for selling, and local bank transfer for business payments. The build connects the two, so the result feels native to your buyers instead of imported.

Integration choices follow your buyers, not fashion: if Dhaka customers pay, message, or discover through a particular platform, the build meets them there, and cross-border service payments move through banking channels, so the current Bangladesh Bank position and the tax treatment are confirmed with a local adviser at scoping stage.

A sensible first project is one dashboard for one decision, for example funnel drop-off, with the data source documented and verified. It is small enough to judge fairly and real enough to matter, which is exactly what a first remote engagement should be.

How it works

From kickoff to delivery in Dhaka

  1. Pick the first workflow

    One workflow first, chosen from where garment exporters, IT firms, and e-commerce brands in Dhaka actually lose time: one dashboard for one decision, for example funnel drop-off, with the data source documented and verified. A clear success measure is agreed before build, in writing.

  2. Build on your stack

    The build connects SQL, Python, spreadsheets, and business-intelligence tools to the systems you already run and the platforms Dhaka customers use, bKash, Nagad, and Rocket for everyday mobile money, Daraz and Facebook commerce for selling, and local bank transfer for business payments. Nothing is replaced that your team already relies on.

  3. Test on real work

    Real work from your business runs through the result before launch: edge cases, errors, and the failure modes behind this warning: The usual failure is dashboard sprawl: twenty charts nobody opens, built on data nobody trusts. Testing uses your records, not demo data.

  4. Launch narrow, then expand

    Go live to one team or one workflow, measure against the agreed success measure, and expand only on evidence. Working hours and feedback follow the shared window: Dhaka runs one hour ahead of Pakistan, so a standard business day overlaps almost entirely: a morning brief from Dhaka gets worked on the same day, and an afternoon review call still falls inside working hours on both sides.

Why Omer

Why hire Omer

  • Depth in data analyst craft: answers from your own numbers: dashboards and analyses that change decisions.
  • The usual failure is dashboard sprawl: twenty charts nobody opens, built on data nobody trusts.
  • First-project discipline: one dashboard for one decision, for example funnel drop-off, with the data source documented and verified.
  • Documentation and handover your team can run without the original builder.
  • Remote, direct, and accountable: one person scoping and delivering, with progress visible in writing for Dhaka buyers.
Outcomes

What changes in practice

The realistic outcome for garment exporters, IT firms, and e-commerce brands in Dhaka is a workflow that still runs months later, maintained by your own team: less retyping, fewer dropped enquiries, and a clearer view of what the business is actually doing. That is the standard this engagement is measured against, not a launch announcement.

The change is measured the same way the first project was: against the success measure agreed at scoping, in the language of your business rather than in vendor metrics. Browse all hire engagements or discuss your Dhaka project directly.

FAQ

Questions, answered

What if our data is messy?
Then cleanup comes first, and it is scoped honestly. Reports built on untrusted data are worse than no reports, because they create false confidence.
Which dashboard should we build first?
The one behind a decision you make weekly. A funnel report for a sales team, or a margin report for a catalogue business, beats a generic executive dashboard.
Do we need new tools for this?
Not always. Much of the value comes from using the data you already collect properly; new tooling is only proposed when the current stack cannot answer the question.
How do we know the numbers are right?
Every report documents its source and its definitions, and totals are reconciled against a system your team already trusts before the report is presented.
How do working hours and communication work from Dhaka?
Calls are scheduled inside the shared window, and every decision is confirmed in writing in Bangla and English. Dhaka runs one hour ahead of Pakistan, so a standard business day overlaps almost entirely: a morning brief from Dhaka gets worked on the same day, and an afternoon review call still falls inside working hours on both sides.
Currently available for select engagements

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