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Data Analytics Sales Jobs in Virginia (NOW HIRING)

Socket.dev

Data Analytics Manager, Senior

Arlington, VA · On-site

$130 - $170/hr

Strong experience in product analytics, sales analytics, or data strategy roles. * Experience ... working with Databricks or similar data platforms to access, analyze, and operationalize data ...

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 ...

Systems Planning and Analysis

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

Provide dedicated data analytics capable of converting large volumes of data from disparate sources ... Sources include Project Management Resource Tools (PMRT), Foreign Military Sales Single Tracking ...

Systems Planning and Analysis

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

Provide dedicated data analytics capable of converting large volumes of data from disparate sources ... Sources include Project Management Resource Tools (PMRT), Foreign Military Sales Single Tracking ...

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 ...

Systems Planning and Analysis

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

Provide dedicated data analytics capable of converting large volumes of data from disparate sources ... Sources include Project Management Resource Tools (PMRT), Foreign Military Sales Single Tracking ...

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How much do data analytics sales jobs pay per hour?

As of Aug 30, 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, Senior

Bloomberg Industry Group

Arlington, VA • On-site

$130K - $170K/yr

Other

Posted 13 days ago

Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to develop and scale the enterprise analytics platform and capabilities, improve self-service access to product usage insights, and ensure consistent interpretation of product performance across the business. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:

  • Serve as a key Product Analytics point of contact for Amplitude platform enablement, including Guides & Surveys, documentation, governance, best practices, and support for broader cross-functional use cases.
  • Partner with Product, Personalization and Engineering teams to support the use of behavioral data within product experiences, including personalization, onboarding and in-product engagement capabilities.
  • Own the ongoing evolution of customer usage reporting capabilities, monitoring and triaging incoming requests and partnering with Sales and Customer Success to identify recurring and changing business needs, prioritize enhancements, and expand self-service access to trusted customer usage data and insights.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • 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 engagement of relevant system.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • 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.

You need to have:

  • Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 7+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 4+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience uncovering product analytics insights that inform cross-functional initiatives, shape hypotheses, and support strategic and operational decision-making across Product, Marketing, Sales, Customer Success and related teams.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Experience working with Databricks or similar data platforms to access, analyze, and operationalize data across multiple sources and surfaces.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Demonstrated ability to conduct stakeholder discovery, identify recurring business needs, prioritize analytics capabilities, and translate those needs into scalable 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
  • Intermediate to advanced 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.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Familiarity with data privacy standards and compliance best practices.

Special Requirements:

  • Candidates may be required to pass a test for this position.

Compensation Range:

$130,000.00-$170,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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