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Data Analyst Data Analyst Jobs (NOW HIRING)

Data Analyst** for a long-term contract opportunity in the Harrisburg, PA area. This role is ideal for a business-facing analytics professional with strong experience in data analysis, dashboard ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

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 ...

Data Analyst Location: Washington, DC 20001 Duration: 12 Months (Hybrid Role with In-Person interview) The Data Analyst will organize and conduct research, and analyze data to support the creation of ...

We are seeking a Data Analyst to become an integral part of our team. You will analyze data to understand business and market trends in order to increase company revenue and efficiency.

Analyze data to identify trends, patterns, and insights that can inform project strategies. * Create reports to present findings and recommendations to project teams and stakeholders. * Ensure data ...

The Data Analyst works with the Sr. Data Analyst, VP of Clinical Transformation, Chief Medical Officer, and the Population Health Department in developing, analyzing, and reporting on medical and ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Data Analyst

San Francisco, CA · Remote

$1K - $1K/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 ...

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

Data Analyst Location: New York, NY Skills Required * At least 3 years of experience in Money Movement Trade Monitoring (AML, Fraud, Surveillance) with Wealth Management financial Services * 8 years ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The Enterprise Data Services department's Commercial Lines team is looking for a skilled Sr. Business ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

Description The Amivero Team We are seeking an experienced analytical Data Analyst to design, develop, and maintain complex data models and dynamic dashboards that provide meaningful insights and ...

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

As of Jun 12, 2026, the average yearly pay for data analyst 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 a Data Analyst?

A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use statistical techniques and software tools to interpret complex data sets, identify trends, and generate actionable insights. Data Analysts often create reports, visualizations, and dashboards to communicate their findings to stakeholders. Their work supports strategic planning, problem-solving, and performance improvement across various industries.

What is the difference between Data Analyst Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, math, or related field; certifications like Microsoft Excel, SQLBachelor's or master's in computer science, statistics, or related; certifications in machine learning, Python, R
Work EnvironmentBusiness, finance, marketing teams; data reporting and visualizationResearch, development teams; predictive modeling and advanced analytics
Employer & Industry UsageWidely used across industries for data reportingMore common in tech, finance, and research sectors for complex data analysis

While both roles analyze data, Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop predictive models and advanced algorithms. The roles often overlap but differ in complexity and technical skills required.

What are some common challenges Data Analysts face when working with cross-functional teams?

Data Analysts often collaborate with stakeholders from various departments, such as marketing, finance, and product. One common challenge is translating complex data findings into actionable insights that are easily understood by non-technical team members. Additionally, aligning on business objectives and ensuring data accuracy across different sources can require strong communication and problem-solving skills. Building relationships and being proactive in clarifying requirements can help Data Analysts navigate these challenges and deliver valuable results.

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 and programming languages like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication skills help you interpret data and present actionable insights clearly to stakeholders. These skills and qualities are crucial for transforming raw data into meaningful information that supports better business decisions.
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What states have the most Data Analyst Data Analyst jobs? States with the most job openings for Data Analyst Data Analyst jobs include:

Contractor

Posted 3 days ago


Job description

Job Summary

We are seeking an experienced Data Analyst for a long-term contract opportunity in the Harrisburg, PA area. This role is ideal for a business-facing analytics professional with strong experience in data analysis, dashboard development, reporting, visualization, stakeholder communication, and data-driven decision support.

The selected candidate will work closely with internal business partners to understand reporting needs, analyze structured and unstructured data, develop visual analytics, identify trends, and translate data insights into practical business recommendations. Strong hands-on experience with Tableau is required. Experience with SQL, Power BI, and Python is strongly preferred.

Key Responsibilities

Partner with internal business stakeholders to understand business goals, reporting needs, questions, and analytics priorities.

Translate business requirements into clear analytical approaches, project plans, reports, dashboards, and presentations.

Acquire, compile, clean, validate, and analyze structured and unstructured data from multiple sources.

Review data for quality, accuracy, completeness, consistency, and reasonableness.

Perform analysis of historical data to identify trends, patterns, risks, performance issues, and business insights.

Develop dashboards, visualizations, recurring reports, and analytical deliverables using Tableau.

Prepare and deliver clear visual presentations that communicate findings and recommended actions to business users.

Support risk, performance, operational, and business reporting initiatives.

Develop, manage, and maintain recurring analytics and reporting processes.

Validate analytical methods, assumptions, calculations, and reporting logic.

Document data definitions, reporting processes, dashboards, best practices, and analytical procedures.

Collaborate with cross-functional teams on special projects and business intelligence initiatives.

Required Qualifications

Minimum 5 years of professional Data Analyst experience.

Strong hands-on experience with Tableau.

Experience developing dashboards, reports, visualizations, and analytical presentations.

Experience working directly with business stakeholders to gather requirements and deliver analytics solutions.

Experience analyzing historical data to identify trends, risks, performance insights, and actionable recommendations.

Experience acquiring, compiling, validating, and transforming structured and unstructured data.

Strong understanding of data quality, data validation, and reporting accuracy.

Strong analytical, problem-solving, communication, and documentation skills.

Ability to work independently and manage analytics work from requirement gathering through delivery.

Undergraduate degree or equivalent combination of education, training, and professional experience.

Preferred Skills

Power BI experience.

SQL experience for querying, joining, filtering, validating, and analyzing data.

Python experience for data analysis, data transformation, automation, or reporting support.

Experience with risk analysis, performance reporting, KPI reporting, or operational analytics.

Experience supporting executive-level reporting or business leadership presentations.

Ability to prioritize analytics work based on business value and stakeholder needs.

Ideal Candidate Profile

The ideal candidate is a strong Data Analyst who can work with business teams, understand reporting needs, validate data, build high-quality Tableau dashboards, analyze trends, and clearly communicate insights. This person should be comfortable working independently, managing recurring reports, documenting processes, and presenting findings to both technical and non-technical audiences.