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Data Analyst Jobs (NOW HIRING)

Data Analyst Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

: Data Analyst Location: Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Data Analyst Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2 3 years experience) to support healthcare ...

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

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 ...

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: DOJ MBI Employee Type: Regular Percentage of Travel Required: Type of Travel: None

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

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 ...

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 Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior ...

Data Analyst

Lewes, DE · On-site +1

As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in ...

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DATA Analyst information

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$34K

$82.6K

$136K

How much do data analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for 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.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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 analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What cities are hiring for Data Analyst jobs? Cities with the most Data Analyst job openings:
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Job description

<>Data Analyst Retail & E-Commerce (2 3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early-career professionals building analytics expertise.

Key Responsibilities
  • Analyze retail and ecommerce datasets
  • Build dashboards using Tableau or Power BI
  • Write SQL queries for data analysis
  • Perform data validation and quality checks
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document metrics and reports
Required Qualifications
  • 2 3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with Tableau or Power BI
  • Understanding of data validation concepts
  • Exposure to retail or ecommerce data
  • Strong analytical skills
Skills

Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas), Tableau, Power BI, Data Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication