1

Data Consultant Jobs in Reston, VA (NOW HIRING)

Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Business consulting services projects in public and commercial sectors across the globe. NOTE ... Technical Reference Architectures for different types of data Operational Data Master/Reference ...

Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

... consultation on complex projects and acts as a top level specialist • Ensures compliance with data architecture principles and standards for the various systems and components based on design ...

Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Business consulting services projects in public and commercial sectors across the globe. NOTE ... Technical Reference Architectures for different types of data • Operational Data • Master ...

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance solutions for Avanade clients. You'll bring hands-on technical expertise, own project outcomes, and ...

Data Architect

Bethesda, MD

$68.25 - $87.75/hr

Provides data consultation on complex projects and acts as a top level specialist * Ensures compliance with data architecture principles and standards for the various systems and components based on ...

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

Deloitte is a leading professional services firm that is seeking a Google Data Engineering Consultant to join their AI & Engineering team. In this role, you will help clients modernize technology ...

Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and build modern data warehouses and analytics-ready data models * Develop scalable, reliable data pipelines using cloud-based ...

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be ... data ingestion and engineering pipelines, performing complex data transformations across large ...

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be ... data ingestion and engineering pipelines, performing complex data transformations across large ...

next page

Showing results 1-20

Data Consultant information

See Reston, VA salary details

$12

$46

$81

How much do data consultant jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data consultant in Reston, VA is $46.71, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $62.50 per hour, depending on experience, location, and employer.

What is the difference between Data Consultant vs Data Analyst?

AspectData Consultant
Required CredentialsTypically a bachelor's degree in data-related fields; certifications like Certified Analytics Professional (CAP) are common
Work EnvironmentConsults with multiple clients or projects, often in diverse industries, providing strategic data solutions
Employer & Industry UsageUsed by consulting firms, corporations, and agencies to advise on data strategies and implementations
Common Search & Comparison IntentPeople often compare Data Consultants with Data Analysts to understand roles, skills, and career paths

While Data Consultants focus on providing strategic data advice and solutions across various projects, Data Analysts primarily analyze data within organizations to generate reports and insights. Both roles require strong analytical skills and familiarity with data tools, but Data Consultants typically have a broader scope involving client interaction and strategic planning.

What is a Data Consultant?

A Data Consultant is a professional who helps organizations understand, manage, and leverage their data to drive business decisions and strategies. They assess data needs, design data management solutions, and implement analytics processes to ensure accurate, actionable insights. Data Consultants often work on data integration, database architecture, reporting, and data governance. Their expertise helps companies make informed decisions, improve efficiency, and gain a competitive edge.

What Is a Data Consultant?

A data consultant creates and implements new big data strategies to optimize data systems and technology. Strong technical skills are necessary for this career. You must have up-to-date knowledge of all the most current data tools and industry changes. The career requires at least a bachelor’s degree, usually in computer science or information technology. Prior work experience, preferably in a leadership or management role, is vital. Additional qualifications are strong communication skills for face-to-face meetings and writing detailed reports.

Is 30 too old to get into consulting?

Data consultants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into consulting later in their careers, leveraging their industry knowledge and analytical abilities. Age is generally not a barrier if you have relevant expertise and are willing to develop necessary technical skills like data analysis and visualization.

What is the job of a data consultant?

A data consultant analyzes and interprets data to help organizations make informed decisions. They often work with data management tools, develop reports, and provide strategic recommendations based on data insights. Strong analytical skills and knowledge of data analysis software are essential for this role.

How much does a data consultant make?

Data consultants typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in data analysis, visualization, and tools like SQL or Python may earn higher salaries. Compensation can also include bonuses or project-based pay.

How do Data Consultants typically collaborate with client stakeholders throughout a project?

Data Consultants work closely with client stakeholders from project initiation to completion, often facilitating requirements-gathering sessions, presenting findings, and providing actionable recommendations. They regularly communicate progress, clarify business needs, and adapt solutions based on stakeholder feedback. This collaboration ensures that data strategies are aligned with organizational goals and that deliverables provide real value. Strong interpersonal and communication skills are essential, as consultants often bridge the gap between technical teams and non-technical decision-makers.

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

To thrive as a Data Consultant, you need strong analytical skills, expertise in statistics, and a solid educational background in data science, computer science, or a related field. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as certifications in data analytics or cloud platforms, is highly beneficial. Excellent communication, problem-solving abilities, and stakeholder management are crucial soft skills for translating complex data findings into actionable business insights. These competencies ensure Data Consultants can deliver valuable, data-driven recommendations that drive organizational decision-making.

Is 40 too late for data science?

A data consultant or data scientist can start their career at any age, including 40, as the field values skills in programming, statistics, and data analysis. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience with tools like Python, R, or SQL.
What cities near Reston, VA are hiring for Data Consultant jobs? Cities near Reston, VA with the most Data Consultant job openings:
Infographic showing various Data Consultant job openings in Reston, VA as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $97,149 per year, or $46.7 per hour.
Principal Data Consultant - Analytics & AI- Morning Shift

Principal Data Consultant - Analytics & AI- Morning Shift

10Pearls, LLC

Washington, DC • On-site

$150 - $200/hr

Other

Posted 11 days ago


Job description

Company Overview

10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. Headquartered in the Washington DC metro area, 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com.

Role

We are seeking a seasoned VP, Stream Head Data Analytics for Functions with 15-18+ years of experience to lead the Data & Analytics function covering Regulatory Reporting, Finance, Compliance, and Risk. This is a senior leadership role driving automation, regulatory compliance, and AI-powered analytics transformation across multiple international geographies. The role will be pivotal in shaping regulatory reporting strategy, managing technology and vendor solutions, and strengthening governance and delivery frameworks across CIBG & IBG regions.

Responsibilities
  • Lead end-to-end regulatory reporting automation strategy across corporate and international banking divisions
  • Ensure compliance with all Central Bank requirements and interpret new regulatory circulars
  • Define governance frameworks and SLAs for timely, accurate reporting
  • Actively assess new regulatory circulars, interpret their impact, and drive go-forward strategies
  • Oversee design, architecture, and solutioning of regulatory reporting tools and platforms
  • Manage vendor selection, implementation, and optimization of reporting systems
  • Establish and lead Run the Bank (RTB) and Change Management teams for sustainable delivery
  • Drive adoption of modern data platforms, AI/ML toolkits, and GenAI services including LLM-powered assistants
  • Collaborate with business, compliance, risk, and technology stakeholders to co-create data-driven solutions
  • Act as a key member of the Regulatory Reporting COE committee overseeing policy development, vendor selection, use case evaluation, and project approvals
  • Drive cross-functional discussions ensuring alignment between business, risk, and technology
  • Lead a multidisciplinary team of data engineers, BI developers, data scientists, and AI/ML specialists
  • Provide strategic planning for regulatory reporting automation roadmap
  • Lead budgeting, forecasting, and annual planning for reporting and compliance initiatives
  • Supervise program management ensuring strategic alignment and efficient execution of projects
  • Promote innovation, continuous learning, and agile delivery across teams
  • Drive continuous improvement, operational efficiency, and scalability across regions
Requirements
  • 15-18+ years of experience in regulatory reporting, compliance, or financial data analytics
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Significant experience enabling data transformation in the banking functions space
  • Strong expertise in Central Bank regulatory frameworks across international banking regions
  • Proven track record in regulatory technology automation, tool implementation, and vendor management
  • Experience with Core Banking Transformation programs
  • Experience leading large cross-functional RTB and Change teams
  • Strong people leadership skills – ability to build, mentor, and scale high‑performing analytics teams
  • Experience managing cross‑functional stakeholders across Corporate, Treasury, and international banking functions
  • Ability to operate across and manage geographically distributed teams across multiple international offices
  • Exceptional communication skills – able to translate technical concepts for non‑technical audiences
  • Collaborative problem‑solving across cross‑functional and geographically distributed teams
  • Deep knowledge of data governance frameworks, regulatory data lineage, and audit‑readiness principles
  • Strong understanding of data quality frameworks and metadata standards
  • Strong understanding of data privacy, integrity, and accessibility standardsAbility to balance legacy platforms and modern cloud‑based solutions simultaneously
  • Familiarity with AI/ML integration, GenAI services, LLM APIs, and prompt engineering frameworks
  • Understanding of vector databases, semantic search, and RAG (Retrieval Augmented Generation) systems
  • Proficiency in strategic budgeting, planning, and project management
  • Experience with agile delivery methodologies
  • Familiarity with program management and ensuring strategic alignment across initiatives
  • Certifications in AI/ML, cloud platforms, or analytics tools are a plus
#J-18808-Ljbffr