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Data Analytics Jobs in Virginia (NOW HIRING)

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

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Data Analytics information

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$24

$54

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How much do data analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 jobs? Cities in Virginia with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

CGI Inc.

Reston, VA • On-site

Full-time

Retirement, PTO

Posted 4 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services


Job description

Senior Data Analytics Engineer
Category: Business Analysis (functional and technical)
Main location: United States, Virginia, Reston
Position ID:J0726-0947
Employment Type: Full Time
U.S. - Finding purpose at CGI
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Position Description:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high quality data products before deployment.
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.
This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.
Your future duties and responsibilities:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high-quality data products before deployment.
The ideal candidate will collaborate closely with developers, product owners, business stakeholders, QA teams, and analytics professionals to validate business requirements, data pipelines, reports, APIs, and GenAI generated outputs. Responsibilities include executing end to end UAT, performing SQL and API validation, verifying JSON data structures, supporting AWS based analytics platforms, and ensuring data accuracy across reporting solutions. The role also includes user onboarding, documentation, knowledge transfer, and ongoing production support to help drive successful adoption of data driven solutions.
Required qualifications to be successful in this role:
. 5+ years of experience in data analytics, software development, data engineering, production support, monitoring, visualization, and business enablement.
. Strong experience performing Business User Acceptance Testing (UAT), including test planning, execution, defect management, regression testing, and production readiness.
. Advanced SQL skills with the ability to validate complex datasets, perform source to target reconciliation, and troubleshoot data quality issues.
. Hands on experience working with AWS based data and analytics environments.
. Experience validating REST APIs, nested JSON payloads, and API integrations using tools such as Postman and Swagger/OpenAPI.
. Proficiency with Python, including pandas, NumPy, and JSON processing for data validation and analytics workflows.
. Experience supporting GenAI enabled reporting solutions, including prompt assisted data extraction, validation of AI generated summaries, narratives, tables, and visualizations.
. Ability to analyze data trends, identify anomalies, and verify business rule compliance before production releases.
. Familiarity with Agile delivery practices and collaboration tools such as Jira.
. Strong communication skills with the ability to work directly with business users, developers, QA teams, and product owners.
. Experience developing user documentation, onboarding materials, SOPs, and conducting knowledge transfer sessions.
. Understanding of data governance, model validation, and enterprise delivery standards within regulated industries, preferably financial services.
. Proven ability to provide production support and resolve issues during application rollout and post deployment stabilization.
Education:
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or another related quantitative discipline.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs
Skills:
  • Agile
  • Amazon Web Services Cloud
  • Artificial Intelligence
  • Data Analysis
  • Python
  • SQL
  • Data Engineering
  • Data Engineering

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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