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Data Analytics Sales Jobs in Washington (NOW HIRING)

Senior Data Analyst

Washington, DC · On-site

$70 - $100/hr

Collaborate cross-functionally (e.g., HR, IT, Sales Ops) to align analytics initiatives with organizational goals. * Mentor junior analysts and promote best practices in data analysis, visualization ...

... analyzing, validating, and normalizing transactional, commercial, and operational data (e.g ... level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel ...

Own the sales technology stack (CRM, sales enablement tools), ensuring data integrity, adoption, and analytics. * Define metrics for sales effectiveness and build dashboards to inform executive ...

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 ...

New

Senior Data Scientist

Arlington, VA · On-site

$118 - $156/hr

... with a sales pipeline managementapplication and a staffing assignment system. Vericol has ... Collect, process, and analyze large datasets to support business decision-making, strategic ...

Showing results 41-60

Data Analytics Sales information

See Washington salary details

$24

$37

$57

How much do data analytics sales jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics sales in Washington is $37.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $47.93 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 popular job titles related to Data Analytics Sales jobs in Washington?

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

Infographic showing various Data Analytics Sales job openings in Washington as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 74% Physical, 1% Hybrid, and 25% Remote job distribution, with an average salary of $78,775 per year, or $37.9 per hour.

Senior Consultant - Life Sciences Data & Analytics

Guidehouse

Mclean, VA • On-site

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Strategy & Transformation Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:
Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health - this is undoubtedly a transformative time for health care companies.Guidehouse's Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today's challenges, while anticipating tomorrow's.You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions.

As a Senior Consultant, you are responsible for data management, technical delivery, and coaching data engineers to execute client work. In this role you will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods in addition to conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources. You will be responsible for building internal tools and automating workflows to accelerate delivery timelines and improve team productivity. Strong candidates are able to clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes.
What You Will Need:

  • A BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.
  • A Minimum of FOUR (4) years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma, and/or biotech clients.
  • Strong understanding of the pharmaceutical industry, including drug development and launch.
  • Strong foundation across life science functions, including commercial operations, market access, patient services, and medical
  • The ability work independently to analyze complex information, quality check results, and develop a structured, data-informed story
  • Excellent communication skills to convey technical execution summaries and insight recommendations to various stakeholders, including senior management.
  • Experience performing Data Analytics on large health data sets and possess a strong knowledge of modern datasets and analytics environments
  • Strong fluency coding in SQL, Python (or other equivalent scripting language), cloud data platforms, and knowledge of life sciences data (e.g., claims, EHR, sales data, formulary, and coverage data)
  • Ability to work in a matrixed organization
  • Must be collaborative and a team player.
  • Must be willing and able to travel to Guidehouse and client sites across the US, up to 10% of the time.
  • Authorized/eligible to work for any US employer without sponsorship.


What Would Be Nice To Have:

  • Must have excellent written and oral communication skills.
  • An advanced degree/PhD preferred.
  • Experience working with data platforms such as Databricks, Snowflake, and Palantir
  • Working knowledge of AI/ML and applications in the life sciences industry
  • Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development.
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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