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Data Science Visualization Jobs in Oregon (NOW HIRING)

Lead Data Engineer

Concord, NC · Remote

$138K - $231K/yr

Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes ... Experience with reporting and visualization tools such as Power BI * Knowledge of legacy and ...

Lead Data Engineer

Concord, NC · Remote

$138K - $231K/yr

Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes ... Experience with reporting and visualization tools such as Power BI * Knowledge of legacy and ...

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... Knowledge of Statistics, Python, data visualization tools * Excellent written and verbal ...

OR · On-site

$67K - $89K/yr

Strong analytical skills including data mining, evaluation, analysis, and visualization ... Bachelor's degree in Computer Science, Data Science, Information Systems, or related degree * 5+ ...

Qualifications * Currently pursuing a Bachelor's degree in Business Analytics, Data Science ... Experience with data visualization tools such as Tableau, Power BI, or similar. * Programming ...

HR Data Analyst, Talent Analytics

OR · Remote

$90K - $106K/yr

Participate actively in HR Business Intelligence including project intake, visualization tools ... Master's degree in Data Science, Computer Science, Business Analytics or closely related field * 1 ...

OR · On-site

Partner closely with IT Business Intelligence, Data Science, Infrastructure, and other analytics ... Data Visualization: Ability to design clear, accurate, and actionable dashboards and reports using ...

Senior Data Engineer

$105K - $150K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business ... and visualization. Foster a data-driven culture by promoting the use of data insights to drive ...

OR · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best ...

OR · On-site

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust ... Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best ...

OR · On-site

$114K - $137K/yr

... visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks ... You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and ...

BI Programmer

Portland, OR · On-site

$70/hr

... data science. Hands-on knowledge of database tools SQL. Knowledge of programming languages like Python, Java, and R. Excel, Agile, Data modeling, Data analytics, Data mining, Data visualization.

OR · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best ...

$210K - $270K/yr

... data modeling and analytics, visualization, reporting, and predictive modeling. The ideal candidate will have experience in leveraging a variety of data analytics tools (excel modelling, data science ...

Bachelor's degree in data science, statistics, computer science, healthcare informatics ... Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.

OR · On-site

$23.10 - $33.50/hr

Bachelor's degree (or higher) in Computer Science, Engineering, Applied Math, Data Science, Physics ... visualization solutions. AMA combines the best of engineering, science, and mathematics ...

OR

$114K - $137K/yr

Collaborate with product, data science, and analytics teams to define data models that support ... Strong understanding of OLTP Vs OLAP. * 5+ years of experience with Power BI for data visualization ...

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Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What job categories do people searching Data Science Visualization jobs in Oregon look for? The top searched job categories for Data Science Visualization jobs in Oregon are:
What cities in Oregon are hiring for Data Science Visualization jobs? Cities in Oregon with the most Data Science Visualization job openings:
Lead Data Engineer

Lead Data Engineer

McKesson

Concord, NC • Remote

$138K - $231K/yr

Full-time

Posted 4 days ago


McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 201 frontline employees who took The Breakroom Quiz

41st of 71 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.

Job Title

Lead Data Engineer (Operations / KTLO)

Summary

We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics platforms. This role focuses on Keep the Lights On (KTLO) activities, ensuring reliable platform performance, SLA adherence, and continuous improvement across data systems.

What You'll Do
  • Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery
  • Support cross-functional teams by delivering data insights for complex business problems
  • Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes
  • Gather requirements, define data models, and support solution design with architects and engineering teams
  • Perform data exploration, analysis, and maintain data definitions, business rules, and lineage
  • Drive documentation, testing (functional, regression, exploratory), and execution of test plans
  • Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems
  • Implement data governance practices and promote data literacy across the organization
  • Identify and address technical debt; continuously improve and optimize processes
  • Monitor, troubleshoot, and tune performance of data platforms and analytical solutions
  • Champion automation-first, enterprise-first, and reusable solution design principles
  • Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices
  • Communicate insights and results through reporting and presentations
What You Bring
  • Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory
  • Proficiency in SQL, Python, and/or R for data analysis and engineering
  • Experience with reporting and visualization tools such as Power BI
  • Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting
  • Strong understanding of data engineering, analytics, and large-scale data processing
  • Experience with distributed data processing tools (e.g., PySpark)
  • Familiarity with tools like Splunk, Alation, and data governance frameworks
  • Strong leadership, delegation, and stakeholder management skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Strong problem-solving and strategic thinking capabilities
  • Understanding of distribution or supply chain business environments
  • Experience working with Databricks and Snowflake
  • Excellent communication and stakeholder management skills
  • Ability to manage multiple projects and priorities
Minimum Requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field
  • 7+ years of experience in data analytics or data engineering
  • At least 2 years of experience in a leadership or mentorship role
Preferable Skills & Experience
  • Experience supporting KTLO / operations-focused data environments
  • Knowledge of SAP and IBM DataStage
  • Experience with RESTful services and data platform monitoring tools
  • Exposure to advanced analytics, econometrics, or operations research
  • Experience working in agile delivery environments
  • Strong focus on automation and infrastructure as code (IaC)
  • Experience in enterprise-scale data governance and metadata management

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

$138,800 - $231,300

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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