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Data Analytics Sales Jobs in Virginia (NOW HIRING)

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a ... sales, and finance) using Power BI, Databricks, SQL, Python, and cloud technologies. * Drive ...

AvePoint, Inc.

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

... direct sales and partners, and identify opportunities for expansion and retention through partner channels. * Partner Marketing Analytics Measure the impact of partner-driven campaigns and ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

... direct sales and partners, and identify opportunities for expansion and retention through partner channels. * Partner Marketing Analytics Measure the impact of partner-driven campaigns and ...

AvePoint

Data Analyst

Arlington, VA

$85K - $110K/yr

... direct sales and partners, and identify opportunities for expansion and retention through partner channels. * Partner Marketing Analytics Measure the impact of partner-driven campaigns and ...

Synnex

Sr. Data Analyst

Herndon, VA · On-site

$88K - $111K/yr

... Sales Leadership , helping teams make smarter decisions across multi-cloud environments. This is a ... If you're energized by solving business problems with data, building scalable analytics solutions ...

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How much do data analytics sales jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics sales in Virginia is $33.15, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $41.92 per hour, depending on experience, location, and employer.

What is a data analytics sales?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

What are the typical daily responsibilities of someone in a data analytics sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What are the key skills and qualifications needed to thrive in data analytics sales, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What are the most commonly searched types of Data Analytics Sales jobs in Virginia?

The most popular types of Data Analytics Sales jobs in Virginia are:

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

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

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

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

Data Analytics Sales jobs near you
Infographic showing various Data Analytics Sales job openings in Virginia as of August 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $68,956 per year, or $33.2 per hour.

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Bloomberg Industry Group is seeking a Data Analytics Manager II to drive meaningful business impact through strategic insights derived from complex data. This role involves leading analytics processes, developing BI solutions, and collaborating with cross-functional teams to enhance decision-making and operational efficiency.
Responsibilities:
• Lead the end-to-end analytics process, for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
• Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
• Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user customer engagement of relevant system.
• Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
• Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
• Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
• Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
• Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
• Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
• Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
• Champion responsible data use, ensuring adherence to internal policies and external regulations.
Qualifications:
Required:
• Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
• 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
• 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
• 3+ years of experience presenting insights to senior leadership or high-level audiences.
• 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
• Strong experience in product analytics, sales analytics, or data strategy roles.
• Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
• Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.
• Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
• Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates.
• Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
• Deep understanding of customer journey analytics, KPI development, and data storytelling.
• Experience managing large-scale datasets, data platforms, and pipelines.
• Proven ability to lead cross-functional projects.
• Excellent communication and stakeholder engagement skills.
• Familiarity with data privacy standards and compliance best practices.
Company:
Bloomberg Industry Group empowers professionals in government, law, tax and accounting with essential data, news, and analysis. Founded in 1929, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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