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Data Analytics Professional Jobs (NOW HIRING)

TLA-LLC

Data Analyst

Mclean, VA · On-site

... Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional) Benefits include: * Medical, Dental ...

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional) Benefits include: * Medical, Dental ...

CrowdStrike

Director, Data Analytics

Sunnyvale, CA

Lead, mentor, and inspire a team of data analytic professionals, championing a culture of continuous improvement, data rigor, and analytical excellence. * Revenue & Metric Ownership: Directly drive ...

City National Bank

Data Analytics Manager

Los Angeles, CA · On-site

$122K - $208K/yr

The Data Analytics Manager leads a team of analytics professionals to deliver strategic insights and reporting solutions for Consumer Banking and Consumer & Small Business products. This role ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

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Data Analytics Professional information

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How much do data analytics professional jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data analytics professional in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Data Analytics Director, Chief Data Officer, or Data Science Manager, which require extensive experience, advanced skills in programming, machine learning, and data strategy. These roles typically offer six-figure salaries and may include leadership responsibilities and specialized certifications.

What do data analytics professionals do?

Data analytics professionals analyze large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software, and often work with stakeholders to interpret data and recommend actions. Strong analytical skills and knowledge of statistical methods are essential in this role.

What is the difference between Data Analytics Professional vs Data Analyst?

AspectData Analytics ProfessionalData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data AnalyticsTypically holds a degree in similar fields; certifications are common but not mandatory
Work EnvironmentWorks across various industries, often in teams, handling complex data projectsFocuses on data collection, cleaning, and basic analysis, often in business settings
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firmsCommon in retail, marketing, finance, and healthcare sectors

While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but the role of a data analytics professional involves interpreting complex data, developing insights, and making strategic recommendations that AI cannot fully replicate. Data analysts with skills in programming, statistical methods, and data visualization remain essential for translating data into actionable business decisions.

Is 40 too late for data science?

Data analytics professionals can successfully transition into data science at any age, including 40, as the field values skills such as programming, statistical analysis, and domain knowledge. Many individuals acquire relevant certifications or learn tools like Python, R, and SQL later in their careers to enhance their qualifications.
What cities are hiring for Data Analytics Professional jobs? Cities with the most Data Analytics Professional job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Professional jobs? States with the most job openings for Data Analytics Professional jobs include:
Data Analytics Professional jobs near you

Data Analyst

TLA-LLC

Mclean, VA

Other

Posted 10 days 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)

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