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Professional Data Jobs (NOW HIRING)

Capital One

Sr. Director, Data Analysis

Plano, TX · On-site

$82K - $103K/yr

Master's Degree * 10+ years of Professional Data Analysis experience * 6+ years of Big Data experience (AWS and Spark) * 6+ years of cloud native (AWS) data processing experience * 6+ years of ...

Capital One

Sr. Director, Data Analysis

Plano, TX · On-site

$82K - $103K/yr

Master's Degree * 10+ years of Professional Data Analysis experience * 6+ years of Big Data experience (AWS and Spark) * 6+ years of cloud native (AWS) data processing experience * 6+ years of ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Five or more years of professional data science experience in manufacturing and/or supply chain environments * Hands-on experience working with ERP data and operational processes including order-to ...

Globe Telecom, Inc.

Data Modeler

Globe, AZ

$52 - $67.50/hr

Certifications related to Cloud Data Architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer) is a plus. Equal Opportunity ...

Omni Inclusive

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Certification in cloud technologies or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is a plus

SteerBridge

Data Engineer - Cherry Point, NC

Cherry Point, NC · On-site

$103K - $123K/yr

They are seeking a Data Engineer to support aviation analytics and aircraft readiness initiatives ... SteerBridge specializes in providing professional services and cutting-edge solutions to the U.S.

Navtech, Inc.

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Google Professional Data Engineer, Google Professional Cloud Architect o Preferred: Google Big Data Specialty Certification • 15+ years direct experience working in Enterprise Data Warehouse / Data ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Detail-oriented with a commitment to data quality and accuracy Preferred Certifications • Certified Data Management Professional (CDMP) from DAMA International. • IBM Certified Data Architect ...

Photon

Data Architect _US

Dallas, TX

$63 - $81/hr

Professional Cloud Certifications (Google / Microsoft / AWS), including: * Google Professional Data Engineer * Google Cloud Architect * Google Cloud Engineer Compensation, Benefits and Duration ...

Launch Tech

Data Architect

Huntsville, AL · On-site

$160K - $210K/yr

We are seeking dynamic professionals who embody our core values of Integrity, Commitment, and ... We are seeking a Data Architect to support the Missile Defense Agency (MDA) on the Integrated ...

AMB Sports & Entertainment

Data Engineer

Mercedes, TX

$107K - $129K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience) * 3+ years of professional experience in data engineering or a ...

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All JobsProfessional Data Jobs

Professional Data information

What are the highest paying jobs in data?

High-paying data roles include Data Science Managers, Data Architects, and Machine Learning Engineers, often requiring advanced skills in programming, statistics, and cloud platforms. These positions typically offer six-figure salaries and may require certifications like AWS or Google Cloud, along with several years of experience.

Is 40 too late for data science?

Professional data science roles do not have strict age limits, and many individuals start or transition into data science careers at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and experience. Age should not be a barrier if you are committed to learning and adapting to industry demands.

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

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

What are the most common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is a Professional Data Analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a data professional do?

A data professional analyzes, manages, and interprets data to help organizations make informed decisions. They often work with tools like SQL, Python, or data visualization software and may be involved in data cleaning, modeling, and reporting tasks.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not fully replace data analysts. Data analysts are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain expertise. Skills in data visualization, statistical analysis, and tools like SQL and Python remain essential for the role.
What cities are hiring for Professional Data jobs? Cities with the most Professional Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Professional Data jobs? States with the most job openings for Professional Data jobs include:
Professional Data jobs near you

Data Analyst

FutureSoft Consulting Inc

Harrisburg, PA

Contractor

Posted 13 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.

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