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Trainee Language Data Analyst Jobs (NOW HIRING)

Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max ...

Data Analyst 1

Schenectady, NY · On-site

$66K - $85K/yr

Data Analyst Trainee 2, NS (equivalent to SG-16): five years of experience* in data visualization, and statistical models and data mining tools. Data Analyst 1, SG-18: four years of experience* in ...

LinkedIn: #LI-BT1 Minimum Qualifications Data Analyst Trainee 1, NS (equivalent to SG-14): four years of experience* in data visualization, and statistical models and data mining tools Data Analyst ...

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Trainee Language Data Analyst information

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$22.5K

$88.7K

$144K

How much do trainee language data analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for trainee language data analyst in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Trainee Language Data Analyst jobs? Cities with the most Trainee Language Data Analyst job openings:
What are the most commonly searched types of Language Data Analyst jobs? The most popular types of Language Data Analyst jobs are:
What states have the most Trainee Language Data Analyst jobs? States with the most job openings for Trainee Language Data Analyst jobs include:
Data Analyst

Full-time

Posted 2 days ago


Job description

Job Title: Data analyst
Location: Onsite
Long Term Contract
Job Summary:
We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong skills in Data Analysis and visualization. Please would you submit your rates with some CVs for potential candidates?
Below you can see the details of the profile we are looking for:
Business analyst skills: work statistical indicators, metric, ratios, etc. for business needs.
Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.).
Financial data experience.
Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
Power Apps & Power Automate: Design and implementation of customized tools for the business.
Data engineer: ETL process, data warehouse, Snowflake.
Wide experience in collaboration with business partners for collection of new requirements and translation into technical solutions.
Bachelor's degree in computer science, mathematics, or statistics preferred.
Proactiveness.