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Director Of Data Analytics Jobs in Virginia (NOW HIRING)

ML6

Data & Analytics Engineer

Bristol, VA · On-site

$100K/yr

... Analytics Engineer to help design, build, and scale a modern enterprise data and analytics ... This is an opportunity to take ownership of meaningful data initiatives and help shape how ...

Capital One

Director, Data Scientist

Mclean, VA · On-site

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... You love the process of analyzing and creating, but also share our passion to do the right thing.

Hobbsnews

Director, Data Scientist

Mclean, VA · On-site

$250/hr

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... You love the process of analyzing and creating, but also share our passion to do the right thing.

Capital One

Director, Data Scientist

Mclean, VA

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... You love the process of analyzing and creating, but also share our passion to do the right thing.

Palnar

Data Analytics

Reston, VA · On-site

... of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus. The responsibilities include, but ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics ...

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All JobsOf Data Analytics JobsDirector Of Data Analytics JobsDirector Of Data Analytics Jobs in Virginia

Director Of Data Analytics information

See Virginia salary details

$70.4K

$156.8K

$242.4K

How much do director of data analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for director of data analytics in Virginia is $156,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $178,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data analytics when aligning data initiatives with business objectives?

A Director of Data Analytics often encounters the challenge of bridging the gap between technical data solutions and the strategic goals of the business. This involves translating complex analytical insights into actionable recommendations for non-technical stakeholders, prioritizing projects that deliver the most value, and ensuring data quality and governance standards are maintained. Additionally, coordinating across departments to align on KPIs and fostering a data-driven culture can be demanding but is essential for successful outcomes. Strong communication, leadership, and a deep understanding of both data and business operations are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a director of data analytics, and why are they important?

To thrive as a Director of Data Analytics, you need deep expertise in data analysis, statistics, and business intelligence, typically supported by an advanced degree in a quantitative field and several years of leadership experience. Familiarity with data visualization tools (such as Tableau or Power BI), database systems (like SQL), and analytics platforms, along with certifications in data science or analytics, are highly valued. Strong leadership, strategic thinking, and communication skills distinguish top performers in this role. These competencies are crucial for driving data strategy, translating insights into business value, and leading effective analytics teams.

What is the difference between Director Of Data Analytics vs Data Analyst?

AspectDirector Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams and strategyAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations across industries for strategic oversightCommon in various industries for data interpretation and reporting

The Director Of Data Analytics typically holds a senior leadership position, focusing on strategy and team management, requiring advanced credentials. In contrast, Data Analysts perform hands-on data analysis and reporting, often with less experience. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

Is data analytics a high paying job?

Data analytics roles, including positions like Director of Data Analytics, are generally well-compensated, especially for those with advanced skills in statistical analysis, programming, and data visualization tools. Salaries tend to increase with experience, certifications, and industry demand, making it a lucrative career option.

What does a director of data analytics do?

A director of data analytics oversees an organization’s data analysis efforts, leading teams to interpret complex data sets to inform business decisions. They develop strategies, ensure data quality, and often work with tools like SQL, Python, or Tableau to deliver insights that support company goals.

What are popular job titles related to Director Of Data Analytics jobs in Virginia?

For Director Of Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Of Data Analytics jobs in Virginia look for?

The top searched job categories for Director Of Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Director Of Data Analytics jobs?

Cities in Virginia with the most Director Of Data Analytics job openings:

Director Of Data Analytics jobs near you
Infographic showing various Director Of Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $156,760 per year, or $75.4 per hour.

Data & Analytics Engineer

Electro-Mechanical Corporation

Bristol, VA • On-site

$109K - $131K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

This position requires a highly skilled Data & Analytics Engineer to design, build, and maintain a modern, scalable, and secure enterprise data platform. This role, based in Bristol VA, is responsible for establishing the organization's data foundation using Microsoft Fabric, Power Platform, and leading visualization technologies including Power BI and Tableau.

This role is ideal for a professional who enjoys building modern data ecosystems, enabling data-driven decision-making, and creating scalable analytics capabilities that support enterprise growth and digital transformation. Additionally, this role will partner closely with business stakeholders, IT teams, and data consumers to enable self-service analytics, data governance, and enterprise reporting

PRIMARY RESPONSIBILITIES:

Data Platform & Architecture

Design, develop, and maintain a scalable enterprise data platform leveraging Microsoft Fabric capabilities, including:

OneLake

Data Factory

Data Engineering

Data Warehouse

Real-Time Analytics

Lakehouse architecture

Establish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external data sources.

Develop and implement data models that support enterprise reporting, analytics, AI, and operational decision-making.

Build reusable data products and semantic models that promote consistency and scalability across the organization.

Data Engineering & Integration

Design and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.

Integrate ERP, CRM, operational systems, cloud applications, APIs, and third-party data sources.

Ensure data quality, reliability, and performance through monitoring, validation, and optimization.

Implement data governance, metadata management, lineage, and security controls.

Business Intelligence & Analytics

Develop enterprise dashboards, scorecards, and analytical solutions using Power BI and Tableau.

Create scalable semantic models and datasets that support self-service analytics.

Optimize visualization performance and user experience.

Establish reporting standards, KPIs, and data definitions across business functions.

Collaborate with business stakeholders to translate requirements into actionable analytics solutions.

Data Governance & Security

Establish best practices for data management, access controls, privacy, and compliance.

Define and maintain enterprise data standards and governance frameworks.

Implement role-based security and data access policies within Microsoft Fabric and reporting platforms.

Support audit, compliance, and regulatory requirements.

Continuous Improvement & Innovation

Evaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.

Drive adoption of modern data architecture principles and analytics capabilities.

Mentor team members and promote data literacy across the organization.

Contribute to roadmap planning and strategic data initiatives.

Technical Skills

Microsoft Fabric architecture and services

Data warehousing and dimensional modeling

SQL and advanced query optimization

ETL/ELT design and implementation

Power BI development and administration

Power Platform (Power Apps, Power Automate, Dataverse)

Data integration and API development

Data governance and master data management

Git/version control and CI/CD practices

EDUCATION AND EXPERIENCE REQUIREMENTS:

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field. Equivalent combination of education and relevant experience may be considered.

3-5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.

Experience designing, developing, and supporting data pipelines and analytical solutions in a production environment.

Strong SQL skills with experience developing complex queries, views, stored procedures, and data transformations.

Experience building and maintaining ETL/ELT pipelines.

Experience with modern cloud data platforms such as Fabric, Snowflake, Databricks or Azure Synapse.

Knowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.

Experience with enterprise integrations, middleware, APIs, and data migration methodologies.

Experience with Microsoft Azure, AWS, or Google Cloud Platform

Understanding of data quality frameworks, monitoring, and validation processes.

Experience implementing data governance, metadata management, and master data practices.

Knowledge of security, privacy, and compliance considerations related to enterprise data.

Experience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.

Experience in manufacturing, distribution, industrial, private equity-backed, or multi-site organizations.

PREFERRED SKILLS:

Microsoft Azure Data Services

Python, Spark, or PySpark

Azure DevOps

DataOps and MLOps concepts

Real-time analytics and streaming architectures

AI/ML integration within Microsoft Fabric

Enterprise ERP and CRM integrations

PREFERRED CERTIFICATIONS:

Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft Certified: Power BI Data Analyst Associate

Microsoft Certified: Azure Data Engineer Associate

Salary:

$85,000-110,000/year

EMC expects that every team member will be guided by EMC's Guiding Principles.

About Electro-Mechanical, LLC

Electro-Mechanical is a privately held, growth-oriented manufacturer of electrical distribution equipment serving customers across multiple markets. With a legacy of engineering excellence and innovation, we deliver high-quality solutions that power progress in communities, industries, and infrastructure.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

PandoLogic. Category: Technology, Keywords: Data Engineer

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