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Analyst Data Analysis Jobs in Oregon (NOW HIRING)

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

The team drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital. As a Principal Data Analyst ...

Senior Data Analyst

OR · On-site +1

$80/hr

A mindset that values being less wrong each time - you approach analysis with humility, rigor, and a desire to continuously improve. * Analytical skills to develop data-driven insights that help ...

Proficiency in Python or R for statistical analysis, data modeling, and exploratory analysis ... Strong analytical skills: ability to define metrics, diagnose root causes, and translate data ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

OR · On-site

Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development - and serves as a ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources ... Business process analysis and redesign. * Design and operation of IS systems. Equal Opportunity ...

Requisition ID2026-4501Job Summary Data Analyst, Specialty Care Programmatic Support Artemis seeks a Data Analyst to support the Department of Veterans Affairs (VA) Veterans Health Administration ...

OR

$85K - $108K/yr

You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows * You have a proven track record of quickly learning complex data ...

Showing results 41-60

Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

Principal Data Analyst, Growth Marketing

Upstart

OR • On-site, Remote

$86K - $107K/yr

Other

Re-posted 29 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team

The Growth Analytics team leverages data and insights to drive profitable business growth by supporting the growth vertical in its mission to increase demand, revenue, and customer lifetime value (LTV) at the most efficient cost of acquisition. The team  drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital.
As a Principal Data Analyst, Growth Marketing at Upstart, you will serve as the lead analytics partner for one of our largest acquisition channels. You will support the digital marketing team supporting work across paid search, paid social, paid video, mobile marketing, and SEO. You will apply advanced analytics and measurement frameworks to equip stakeholders with the insights and data needed to align on and execute strategic initiatives. 

In this role, you will collaborate closely with Growth Marketing, Product, Engineering, and Machine Learning teams to drive deep understanding, actionable insights, and data-informed decision-making. You will also help shape the data infrastructure that supports borrower acquisition and retention across our platform-fueling Upstart's growth at the highest levels.

How you'll make an impact:

  • Partner cross-functionally with channel owners, product, and engineering leaders to set the growth strategy and analytics roadmap across digital channels and products at Upstart
  • Lead the evolution of measurement beyond traditional click-based attribution, incorporating approaches such as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality testing to develop a more complete view of performance
  • Effectively use analytics to understand user behavior, funnel performance, and the impact of growth investments, and make proactive recommendations to improve efficiency and scale
  • Design and conduct quantitative analyses and experiments to test hypotheses, helping prioritize the highest-impact opportunities across channels and products
  • Collaborate with Analytics Engineering and Engineering to uplevel growth data capabilities, enabling new measurement approaches and accelerating time to insight as the business expands

What we're looking for: 

  • Minimum qualifications:
    • Strong analytical and quantitative background with at least 10+ years professional experience, preferably in marketing, growth or product analytics 
    • Deep expertise in applying analytics and data science techniques  to drive impacts in growth and marketing organizations, such as attribution models, customer lifetime values, ROI frameworks, a/b testing, etc. 
    • Proven track record designing and interpreting incrementality experiments, geo-lift tests, or  MMM-based growth measurement
    • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
    • Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field
    • Strong communication and analytical storytelling skills, experience deriving actionable insights from analysis, a well-balanced rigorous and creative approach to solving difficult and unstructured problems
  • Preferred qualifications:
    • Experience in technology, marketplace, fintech companies with knowledge of consumer financing
    • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards to successfully influence and drive C-level decision-making
    • Experience in coaching and mentoring junior team members on technical subjects

Position location - This role is available in the following locations: Remote

Travel requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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#LI-MidSenior 


What Upstart employees say

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Hours and flexibility

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