Power BI Specialist / Analyst

Wood woodplc.com Open · verified Oct 24, 2026

On-site Atyrau Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Wood. Atyrau · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI

SeniorityMid-level

LocationAtyrau

WorkplaceOn-site

EmploymentFull-time

PostedSep 24, 2026 · 4w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Create interactive Power BI dashboards, then tailor their charts, KPIs and filters for analysis
Use Excel Power Query to clean, transform and combine information drawn from different sources
Link reports with SharePoint, arranging team access and automatic data refreshes
Build table relationships around employee and supplier IDs, then keep dashboard reporting and publication regular
Review business indicators and produce management reports using Excel, SharePoint and other data sources

What you bring

You hold a Kazakhstan passport
You can use Power BI and Excel

Who this fits

This is an onsite, mid-level analyst role based in Atyrau, Kazakhstan. You need a Kazakhstan passport to be considered. The work suits someone who can build and maintain Power BI reporting and prepare data for management decisions.

From the employer

Wood (trading locally as WOOD KSS LLP) is looking to hire Power BI Specialist / Analyst (KZ Passport holders) based in Atyrau, Kazakhstan.

Develops interactive dashboards in Power BI, creates visualizations for data analysis, and adjusts key metrics (KPIs) and filters
Works with Power Query in Excel, performs cleaning, transformation and combining of data from various sources
Integrates reports with SharePoint, sets up automatic data updates and access for the team
Optimizes relationships between tables, creates relational data models and links them by keys (employee and supplier IDs)
Automates reporting processes, ensures regular updating and publication of dashboards
Analyzes business indicators, generates reports for making management decisions based on data from Excel, SharePoint and other sources