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Day Language Data Analyst Jobs (NOW HIRING)

ACI Infotech

Data Analyst

Tampa, FL · On-site

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 ...

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Day Language Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 26, 2026, the average yearly pay for day language data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including a Day Language Data Analyst, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools enhance productivity but do not fully replace the need for skilled analysts who understand context and business needs.

Is 40 too late for data science?

A Day Language Data Analyst can enter data science at any age, including 40, as the field values skills like programming, statistics, and domain knowledge that can be learned through online courses and certifications. Many professionals successfully transition into data science later in their careers by building relevant skills and experience.

Do linguists get paid well?

Day Language Data Analysts, who work with linguistic data and language processing, can earn competitive salaries depending on experience, education, and location. Salaries typically range from entry-level to experienced roles, with specialized skills in data analysis and language technologies increasing earning potential.

What is the difference between Day Language Data Analyst vs Night Language Data Analyst?

AspectDay Language Data AnalystNight Language Data Analyst
CredentialsRelevant degrees, language certifications, data analysis skillsSame as Day Language Data Analyst
Work EnvironmentDay shifts, standard office hours, collaborative teamsNight shifts, similar environment but overnight hours
Industry UsageCommon in global companies, customer support, data processingUsed in 24/7 operations, international support, data monitoring
Search & ComparisonOften compared based on shift timing and language skillsSimilar roles with different working hours

The Day Language Data Analyst and Night Language Data Analyst roles are similar in credentials, industry usage, and work environment, differing mainly in shift timing. Both positions require language proficiency and data analysis skills, but the choice depends on preferred working hours and shift schedules.

What do data analysts do on a day-to-day basis?

Day Language Data Analysts analyze language data to identify patterns, trends, and insights using tools like Excel, SQL, or specialized software. They clean and organize data, create reports or visualizations, and collaborate with teams to support decision-making processes.
What cities are hiring for Day Language Data Analyst jobs? Cities with the most Day 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 Day Language Data Analyst jobs? States with the most job openings for Day Language Data Analyst jobs include:
Day Language Data Analyst jobs near you
Data Analyst

Data Analyst

ACI Infotech

Tampa, FL • On-site

Full-time

Posted 23 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.

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