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Remote Traffic Data Analyst Jobs in Oregon (NOW HIRING)

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance ... Remote

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Analyzing huge web traffic data sets (across more than 100 billions documents) to identify and ... Fully remote position (US-based) with the flexibility to work from anywhere in+ $500 stipend to ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Staff Analyst

OR · On-site +1

$61K - $81K/yr

As a Staff Data Analyst at Upstart, you will own the monitoring and reporting of model and credit ... Remote Time zone requirements The team operates on time zones ranging from EST to PST. Travel ...

Data Scientist

OR · On-site +1

... Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote flexibility. Working at SOSi All ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United ...

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Remote Traffic Data Analyst information

What does a remote traffic data analyst do?

A Remote Traffic Data Analyst is responsible for collecting, analyzing, and interpreting data related to traffic patterns, transportation systems, and vehicle movements, all while working from a remote location. They use various data sources, such as sensors, cameras, and GPS, to identify trends, forecast congestion, and provide insights that help improve transportation planning and safety. Their work supports decision-making for government agencies, urban planners, and private companies seeking to optimize traffic flow and infrastructure.

What are some common challenges faced by remote traffic data analysts, and how can they be effectively managed?

Remote Traffic Data Analysts often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and maintaining clear communication with team members across different locations. Managing large datasets while adhering to strict deadlines can also be demanding. Effective management of these challenges involves utilizing advanced data analytics tools, establishing regular virtual check-ins with the team, and maintaining meticulous documentation. Proactively seeking feedback and staying updated with the latest industry tools can further enhance efficiency and data quality.

What are the key skills and qualifications needed to thrive as a remote traffic data analyst, and why are they important?

To thrive as a Remote Traffic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or transportation engineering, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and GIS software, as well as experience with traffic data collection systems, is essential. Attention to detail, problem-solving ability, and effective remote communication are valuable soft skills for this position. These competencies ensure accurate data interpretation, actionable insights, and seamless collaboration in supporting transportation planning and decision-making.

What is the difference between Remote Traffic Data Analyst vs Remote Digital Marketing Analyst?

AspectRemote Traffic Data AnalystRemote Digital Marketing Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Marketing, Business, or related; knowledge of analytics and marketing tools
Work EnvironmentData-focused, analytical tasks, often in tech or analytics firmsMarketing campaigns, digital strategy, often in advertising or marketing agencies
Employer & Industry UsageTech companies, e-commerce, transportation sectorsAdvertising agencies, retail, online services

The Remote Traffic Data Analyst primarily focuses on analyzing traffic patterns and data to optimize online or physical traffic flow, while the Remote Digital Marketing Analyst concentrates on marketing strategies and digital campaigns. Both roles require analytical skills and familiarity with data tools, but they serve different business functions and industries.

What are the most commonly searched types of Traffic Data Analyst jobs in Oregon?

The most popular types of Traffic Data Analyst jobs in Oregon are:

What are popular job titles related to Remote Traffic Data Analyst jobs in Oregon?

For Remote Traffic Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Traffic Data Analyst jobs in Oregon look for?

The top searched job categories for Remote Traffic Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Remote Traffic Data Analyst jobs?

Cities in Oregon with the most Remote Traffic Data Analyst job openings:

Lead Data Analyst

Parachute Health

OR • On-site, Remote

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

About the Role

The Lead Data Analyst is the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.

Responsibilities Analytical leadership
  • Lead end-to-end analyses on high-stakes, often ambiguous questions - from framing the problem through recommendation and impact measurement.
  • Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket - and recognize when a dashboard is the wrong answer.
  • Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
  • Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
  • Move between business domains and be credible in each, rather than owning one.
  • Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes - including the questions nobody has asked yet.
Partnership with analytics engineering
  • Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it.
  • Turn recurring analytical needs into durable models instead of one-off queries.
  • Hold a high standard for canonical definitions - when two reports disagree, you're the one who finds out why.
Team contribution (not people management)
  • Mentor analysts on technique and business judgment. You don't manage anyone - you're the person newer analysts learn from.
  • Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
  • Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.
What we're looking forExperience
  • 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
  • 2+ years operating at a senior analyst level - owning complex projects end-to-end and holding others to a quality standard.
  • Experience supporting multiple business functions from a central analytics team.
  • Bachelor's degree in a quantitative or technical field, or equivalent experience.
  • Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
  • Nice to have: exposure to revenue and go-to-market data - pipeline, forecasting, funnel, retention, CRM.
Technical skills
  • Expert-level SQL. Strong Python for statistical work.
  • Advanced Looker or comparable BI tool experience - LookML, dashboard design, and semantic layer thinking.
  • Working knowledge of experimentation design and causal inference - enough to catch correlation being mistaken for causation.
  • Comfort collaborating with analytics engineers on data modeling and warehouse design.
How you work
  • You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
  • You mentor without formal authority - people want your input because it's good, not because you outrank them.
  • You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
  • You operate well in ambiguity and move with urgency.

Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.

Benefits

  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Bands (based on experience and level)

 $160,000 - $200,000