Dedicated data analysts for your offshore team.
Offshore data analysts in Chiang Mai and Bangkok, working full time on your product 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 the people managed and coached by Azendo in Thailand.
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 area 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 oversees delivery, training and coaching, the office and equipment, and HR and payroll. The price below is for a junior Data Analyst; other levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One junior Data Analyst, full time, everything below included. All 27 things included ››
- Data analyst From USD 2,100 per month
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Service
We manage and develop the team
- A service delivery manager who oversees operations and 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 team member
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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 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 dedicated 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 clearly.
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Building and maintaining dashboards people 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. Neither needs a senior title, which helps when you look at 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, the other roles in a data science team at Azendo. It is often the first data role for companies that hire dedicated developers and want answers from the warehouse they already run.
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.
A remote Data Analyst's first three months on your team.
- 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 to your data and tools is in place, usually within the first sprint. The analyst starts with the questions you need answered now. The recurring reports and dashboards are then built around them, so answers keep coming without a new request each week.
How do you make sure dashboards get used?
Every dashboard gets a named owner and a decision it supports, agreed before it is built. The analyst reviews usage regularly, retires dashboards that are no longer opened and improves the ones people rely on. Fewer, better dashboards get used.
Add remote data analysts to your team.
Tell us which questions go unanswered, which warehouse and BI tool you use and who reads the dashboards. We'll suggest an analyst profile and send one fixed monthly fee. You can also start with a call to a service delivery manager.
Tell us what your data analyst would work on.
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