1

Data Analist Jobs (NOW HIRING)

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data_Analyst Request ID: 89081-1 Location: Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive ...

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

Data Analyst

Raleigh, NC · On-site

$100K - $140K/yr

Must Have Technical/Functional Skills • Perform data analysis, profiling, and reporting to support business decision-making • Develop dashboards and reports using BI tools • Translate business ...

Data Analyst Location (City, State): Austin, TX (On-site) Assignment Type: Contract Pay: $30-$40/hour Work Schedule: Full-time | On-site Benefits: This position is eligible for medical, dental ...

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices. The candidate must be a US citizen or hold a green card. The ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

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 ...

IL · On-site

Data Analyst / Data Manager Location: Scott AFB, IL Program: HQ Cyberspace Capabilities Center (HQ CCC) Clearance: Secret Company Description: Centuria, a Service-Disabled Veteran-Owned Small ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams ...

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and ...

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation . The ideal candidate will work closely with business stakeholders, data ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

Data Analyst Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform.

Manager, Data & Analytics Department: Regulatory Compliance Services Location/Schedule: Chicago, IL/Hybrid, 3 days in-office and 2 days remote Classification: Full-Time /Exempt Who We Are : Old ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

next page

Showing results 1-20

Data Analist information

See salary details

$34K

$82.6K

$136K

How much do data analist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data analist 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.

How does a Data Analyst typically collaborate with other departments to support business objectives?

Data Analysts frequently work alongside teams in marketing, finance, product development, and operations to translate data insights into actionable business strategies. This often involves regular meetings to discuss reporting needs, sharing findings through dashboards or presentations, and helping stakeholders interpret complex data trends. Strong communication skills are essential, as Data Analysts must explain technical concepts in a way that non-technical colleagues can understand. Collaborative projects can be both challenging and rewarding, providing opportunities to influence key business decisions and develop a deeper understanding of the organization's operations.

What is the difference between Data Analist vs Data Scientist?

AspectData AnalistData Scientist
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel or SQLBachelor's or higher in Computer Science, Statistics, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, data visualizationResearch, predictive modeling, advanced analytics
Employer & Industry UsageFinance, healthcare, retail, marketingTech companies, finance, research institutions
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsExploring advanced analytics, data modeling, and machine learning

While Data Analists focus on interpreting data, creating reports, and visualizations for business decisions, Data Scientists delve into complex data modeling, predictive analytics, and machine learning. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and educational background.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong skills in statistical analysis, data visualization, and proficiency with data querying languages like SQL, typically supported by a degree in mathematics, statistics, or a related field. Familiarity with analytical tools such as Excel, Python, R, and business intelligence platforms like Tableau or Power BI is commonly required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These skills enable Data Analysts to drive informed decision-making and add significant value to organizations through accurate, data-driven recommendations.

What is a Data Analyst?

A Data Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. They use statistical techniques and software tools to analyze data sets, identify trends, and generate reports. Data Analysts often collaborate with other departments to translate data insights into actionable business strategies. Their work helps companies optimize operations, improve customer experiences, and achieve their goals.
More about Data Analist jobs
What cities are hiring for Data Analist jobs? Cities with the most Data Analist job openings:
What states have the most Data Analist jobs? States with the most job openings for Data Analist jobs include:

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Re-posted 9 hours ago


Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)