Dedicated data analysts for your offshore team.
Offshore data analysts in Chiang Mai and Bangkok, working full time on your roadmap and managed by us. A data analyst turns questions into answers people can act on this week, using the warehouse and reporting tools you already have.
One agreement and one fixed monthly fee, with a service delivery manager in Thailand who runs your team day to day.
This role is part of a dedicated data science team. It's staff augmentation, fully managed: take one role on its own, or the whole discipline as one delivery team.
One Data Analyst, assigned to your product and fully managed.
We assign a Data Analyst to your team full time and run everything around them: a service delivery manager who answers for the work, training and coaching, the office and equipment, and HR and payroll. The price below is for a mid-level Data Analyst; junior and senior levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One mid-level Data Analyst, full time, everything below included. All 27 things included ››
- Data analyst From USD 3,100 per month
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Service
We manage and develop the team
- A service delivery manager who runs the team and answers for delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every specialist
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our own office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What a Data Analyst does on a data science team.
They take questions from across your business, work in your warehouse and BI tool, and keep the dashboards people rely on up to date.
Data Analyst skills and technologies
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Ad hoc analysis against business questions, with the caveats stated rather than buried.
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Building and maintaining dashboards people actually open more than once.
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Defining and documenting metrics so numbers stop being argued about in meetings.
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Automating recurring reports so the same query is not rerun manually every Monday.
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Investigating data quality issues found during analysis and raising them upstream.
Data Analyst seniority levels.
Junior to mid-level. The role rewards business understanding and strong SQL. Seniority is one of the inputs into how the monthly fee is built.
When your team needs a Data Analyst.
Often the fastest route to value when a warehouse exists and is underused. Works alongside a data scientist or BI developer. Data analysts join as part of a data science team at Azendo.
What we look for in a dedicated Data Analyst.
We look for analysts with strong SQL and a sense for the business question behind the request. They should state caveats plainly and build dashboards people open more than once.
Your remote Data Analyst's first three months.
- Weeks 1 to 2Learning your warehouse, metrics and the questions teams ask most.
- Weeks 3 to 6Delivering ad hoc analysis and fixing the dashboards people rely on.
- Months 2 to 3Automating recurring reports and documenting metric definitions.
Questions about adding a Data Analyst to your team.
How fast can we get answers?
Once access is in place, usually within the first sprint.
How do you make sure dashboards get used?
Every dashboard gets a named owner and a decision it supports, agreed before it is built.
Add remote data analysts to your team.
Tell us your roadmap and your stack, and we'll come back with the right profile, the capacity and a start date. You can also talk to a service delivery manager first.
Add data analysts to your remote team.
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