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Data Analytics Manager Jobs in Virginia (NOW HIRING)

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ... Improve trust in data by implementing data quality checks, monitoring and observability practices ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ... Improve trust in data by implementing data quality checks, monitoring and observability practices ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Data Analytics Engineer

Chantilly, VA · On-site +1

$142K - $169K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Visualization, Data ... Work with the design team and product management to implement innovative analytic and visualization ...

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Showing results 1-20

Data Analytics Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data analytics manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analytics manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Virginia? The most popular types of Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics Manager jobs? Cities in Virginia with the most Data Analytics Manager job openings:
Data Analytics Engineer

$106K - $127K/yr

Contractor

Posted 14 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for Data Analytics Engineer

The Opportunity
 is hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy reporting, self-serve insights, and decision-making across the company. This is a unique opportunity to join at the ground floor and own the core analytics engineering layer end-to-end, from defining foundational metrics and data models to implementing best practices that scale.
In this role, you'll be both a hands-on builder and a technical partner to the business, designing data architecture, developing foundational models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous questions into reliable, reusable data products.
This is a senior individual contributor role. You'll lead through technical ownership, influence, and execution, while helping set standards and patterns that future hires will build on.
What You'll Do
Help Build the Data Foundation
*    Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them
*    Design and build a single source of truth by developing foundational data models (dimensional modeling, star schemas, modular marts) that standardize business definitions and metrics
*    Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and Git, including CI/CD patterns
*    Implement scalable standards for modeling, naming, testing, documentation, and dataset ownership to ensure maintainability as the organization grows
*    Improve trust in data by implementing data quality checks, monitoring and observability practices, and clear guidance on what is trusted
*    Partner cross-functionally with engineering, product, finance, and other business leaders to understand data needs and deliver solutions that drive decisions and outcomes
Enable Self-Serve and Decision-Making
*    Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and reliable
*    Create dashboards and analytics tools that empower stakeholders to self-serve confidently, with clear definitions and documentation
*    Translate ambiguous business questions into structured, scalable data solutions, and not one-off queries
*    Translate complex analytical findings into clear, actionable recommendations that influence product strategy
Lead Through Technical Ownership
*    Act as the analytics engineering voice in technical decisions, ensuring solutions are practical, robust, secure, and useful
*    Drive cross-functional projects from discovery through delivery, influencing outcomes without formal authority
*    Contribute to data literacy and adoption through metrics definitions, training, and strong documentation
*    Collaborate with product managers during discovery to identify the right problems to solve using data
What We're Looking For
Analytics Engineering and Modeling Expertise
*    5 to 8+ years in analytics engineering, data engineering, BI, or closely related roles, with senior-level scope
*    Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred)
*    Strong hands-on experience with dbt (or similar transformation frameworks), including modular project organization, plus testing and documentation practices
*    Proven ability to design scalable, reusable data models (dimensional modeling, star schemas, canonical metrics, shared dimensions)
*    Experience with BI tools (Looker, Tableau, Mode, or similar) and building datasets that support reliable reporting
*    Working knowledge of Python for scripting, automation, and data transformation
Engineering Rigor and End-to-End Ownership
*    Comfort owning pipelines and data flows end-to-end (sources to warehouse to transformations to BI and downstream consumption)
*    Familiarity with Git and GitHub, code review workflows, and CI/CD practices for analytics code
*    Experience implementing data quality and reliability patterns (dbt tests, Great Expectations, Monte Carlo, alerting, SLAs, or similar)
*    Strong understanding of modern data architecture patterns and tradeoffs, with the ability to build what's needed now while planning for scale
Business Partnership and Senior IC Skills
*    Strong track record partnering with non-technical stakeholders, turning vague questions into clear requirements, then turning requirements into reliable data products
*    Excellent communication skills, including explaining data concepts to business audiences and aligning on definitions and outcomes
*    Strong prioritization instincts, focusing on work that unlocks the most value and reduces recurring pain
*    Comfortable operating in ambiguity, moving fast while maintaining trust and quality
Bonus Points
*    Experience with semantic modeling layers like LookML
*    Familiarity with workflow orchestration tools (Hevo, Airflow, Dagster)
*    Background in high-growth startup or tech environments
*    Knowledge of data cataloging and metadata management tools (Atlan, etc.)
*    Understanding of AI/ML applications and prompt engineering for LLMs
*    Experience with statistical analysis and experimental design
Why This Role Is Special
This is a rare opportunity to help define the analytics function at a growing company. You'll have the freedom to establish best practices, choose our tooling, and have an immediate impact on business decisions. If you're someone who gets excited about both the big picture strategy and rolling up your sleeves to build, this role offers the best of both worlds. You'll work closely with leadership to shape how  uses data to drive growth.
About
Our Mission: 'Help ALL frontline workers feel more valued and connected so they can reach their full potential. And live a more fulfilling life.'
We're building world-class applications that solve real problems for real people. We obsess over customer needs, move fast, and celebrate wins together. If you thrive in environments where you can touch every part of the stack and see your work make an immediate difference, you'll love it here.



Compensation depends on experience but is typically 180k-200k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR