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Remote Google Business Intelligence Jobs in Virginia

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... Google Analytics 4 (GA4) * Google Tag Manager (GTM) and Server-Side GTM * Understanding of CDN ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

Experience supporting Business Intelligence, Data Science, and AI initiatives. * Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

Virginia Remote (with local travel to ICF's office and client events as needed) Ready to make a ... Working at ICF means applying your passion for meaningful work and intellectual rigor to help solve ...

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

Working with customers, partners, and internal project team members to understand customer business ... Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of ...

Jr. Technical Business Analyst

Reston, VA · On-site +1

$27.50 - $37/hr

D.C., Maryland, Virginia Hybrid or Remote (if remote must be able to come in to the Reston, VA ... intelligence it provides. This position supports project delivery on IT projects for the energy ...

Partner with Business Intelligence and IT to inform system enhancements and ensure workflows align with operational needs Relationship Workflow & Follow-Up Management * Design, refine, and maintain ...

... Analytics & Business Intelligence. - IT Infrastructure & Network Management. - Emerging ... remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Showing results 21-40

Remote Google Business Intelligence information

What is a remote Google Business Intelligence professional?

A Remote Google Business Intelligence professional specializes in analyzing and interpreting data using Google’s suite of business intelligence tools, such as Google Data Studio, BigQuery, and Looker, while working from a remote location. Their main responsibilities include gathering data from various sources, creating reports and dashboards, and providing actionable insights to help organizations make data-driven decisions. Working remotely, they collaborate with teams online, ensuring that stakeholders have the information they need to optimize business operations. This role requires strong analytical skills, proficiency with Google BI tools, and the ability to communicate complex data findings clearly.

How does a remote Google Business Intelligence professional typically collaborate with cross-functional teams?

As a Remote Google Business Intelligence professional, you will frequently collaborate with cross-functional teams such as marketing, product development, and engineering. Communication is primarily conducted via virtual meetings, shared dashboards, and cloud-based project management tools. Your role often involves translating complex data insights into actionable recommendations for non-technical stakeholders, so strong communication and documentation skills are essential. Building relationships and proactively seeking feedback from team members across departments helps ensure data-driven decisions align with broader business goals.

What are the key skills and qualifications needed to thrive as a remote Google Business Intelligence professional, and why are they important?

To thrive as a Remote Google Business Intelligence professional, you need strong analytical skills, experience in data modeling and visualization, and proficiency with SQL, alongside a relevant degree in computer science, information systems, or a related field. Familiarity with Google BI tools such as Looker Studio, BigQuery, and Data Studio, as well as certifications like Google Data Analytics, are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate, actionable business insights are delivered, driving data-informed decision-making across distributed teams.

What is the difference between Remote Google Business Intelligence vs Remote Data Analyst?

AspectRemote Google Business IntelligenceRemote Data Analyst
Required CredentialsGoogle certifications, BI tools proficiencyStatistical, analytical, Excel, SQL skills
Work EnvironmentRemote, collaborative with marketing and product teamsRemote, cross-industry data interpretation
Employer & Industry UsageTech, marketing, e-commerce companiesFinance, healthcare, retail, various sectors
Common Search & ComparisonYesYes

Remote Google Business Intelligence specialists focus on analyzing data using Google tools and BI platforms to support strategic decisions, often within tech and marketing industries. Remote Data Analysts interpret data across various sectors, utilizing statistical and analytical skills. While both roles involve data analysis, Google Business Intelligence roles emphasize BI tools and Google platform expertise, whereas Data Analysts have broader industry applications and skill sets.

What are the most commonly searched types of Google Business Intelligence jobs in Virginia?

The most popular types of Google Business Intelligence jobs in Virginia are:

What cities in Virginia are hiring for Remote Google Business Intelligence jobs?

Cities in Virginia with the most Remote Google Business Intelligence job openings:

Data Engineer, Finance Solutions, Google Cloud Platform

McKesson

Richmond, VA • On-site, Remote

$130K - $140K/yr

Full-time

Re-posted 20 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Data Engineer, Finance Solutions - Google Cloud Platform (GCP)

Are you a Data Engineer with hands-on experience building modern data solutions in Google Cloud Platform (GCP)? Do you want to play a leading role in a high-visibility enterprise cloud transformation while helping shape the future of Finance Data at McKesson?

McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join our Finance Solutions team. This is a critical individual contributor opportunity within our Finance Data & BI organization, where you will help lead the ongoing migration and modernization of our Finance data platforms to Google Cloud Platform (GCP).

This role is ideal for data engineers who enjoy building scalable Finance data solutions within cloud environments and solving complex business challenges through modern data engineering practices. This position is embedded within the Finance Data & BI organization and focuses on transforming financial data into trusted, analytics-ready assets that support reporting, forecasting, planning, automation, AI/ML initiatives, and strategic business decision-making.

Reporting to the Director, Finance Data & BI, you will partner closely with Finance, Business Intelligence, Data Product, Architecture, and Data Science teams to design, build, and optimize modern cloud-based Finance data solutions. Your work will directly influence the future-state Finance data ecosystem and play a significant role in McKesson's strategic investment in Google Cloud Platform.

Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.

Compensation & Hybrid Expectations
  • Base: $130,000 to $140,000

  • 10% Annual Incentive

  • This position is based in Richmond, VA with 3 to 5 days in the office each month.

  • Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).

  • Relocation assistance is not available for this role.

Minimum Requirements
  • 4+ years of relevant experience

Targeted Experience & Critical Skills
  • 4+ years of technical and professional experience as a Data Engineer.

  • Demonstrated hands-on experience delivering production-scale data engineering solutions within Google Cloud Platform (GCP). While we are open to candidates with as little as 2+ years of GCP experience, this capability is considered highly critical to success in the role. The selected candidate will play a significant role in accelerating the migration and modernization of Finance data platforms to GCP. Candidates with proven GCP experience will be strongly preferred.

  • 4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.

  • 4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.

  • Strong proficiency in object-oriented programming languages such as Python, Java, or C#.

  • Proven experience in an enterprise environment with:

    • Building and optimizing cloud-based data solutions

    • Supporting business-critical systems

    • Designing or supporting production-scale AI/ML data pipelines

    • Applying data governance by design

    • Data warehousing and ETL best practices

    • CI/CD and version control using GitHub

Additional Skills: (Nice to Have)
  • Experience with PySpark

  • Experience with Matillion or other modern ETL tools

  • Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)

  • Experience deploying SOXcompliant data solutions in a regulated enterprise

  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

Key Responsibilities

Data Engineering & Architecture

  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholderready, productionscale data solutions

  • Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code

  • Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads

  • Develop and maintain database code, including stored procedures, functions, and performanceoptimized transformations

  • Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools

Optimization, Data Quality & Governance

  • Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment

  • Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets

  • Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases

  • Ensure all data solutions meet financial governance and compliance standards, including SOX requirements

Collaboration & Communication
  • Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions

  • Communicate technical concepts clearly to nontechnical stakeholders, balancing innovation with operational risk and controls

  • Enable trusted data environments required for forecasting models, scenario planning, and AIdriven insights

  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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