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New Grad Data Analyst Jobs in Oregon (NOW HIRING)

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise ...

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise ...

Data Analyst II

OR · On-site +1

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... Our data feeds help the world's top investors understand company performance, market trends, and ...

Data Analyst II

OR · On-site +1

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... Our data feeds help the world's top investors understand company performance, market trends, and ...

OR · On-site

$85K - $108K/yr

An analyst here can own a data product end-to-end, from methodology to client delivery, and present ... Identifying and building new product types and research opportunities - finding novel ways to ...

Our new investor's vision is that Mattson Technology, with its Silicon Valley DNA, will continue to ... The Data Analyst Engineer is responsible for supporting data-driven decision-making and ...

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ... Commuter benefits for those who choose to go into our New York City or San Francisco office spaces ...

We are hiring for a number of new positions to meet increasing demand. When you choose to join ... OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ...

Serve as a thought-leader with an emphasis on innovation, finding new ways to optimize and simplify ... Work closely with project teams, enterprise developers, systems analysts, data scientists, and ...

Serve as a thought-leader with an emphasis on innovation, finding new ways to optimize and simplify ... Work closely with project teams, enterprise developers, systems analysts, data scientists, and ...

Overview The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas of the business to support the creation of a new internal data warehouse. This person manages the ...

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Showing results 1-20

New Grad Data Analyst information

What is a New Grad Data Analyst job?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the New Grad Data Analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

What are the typical daily responsibilities for a New Grad Data Analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What cities in Oregon are hiring for New Grad Data Analyst jobs? Cities in Oregon with the most New Grad Data Analyst job openings:
Infographic showing various New Grad Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst

Other

Retirement, PTO

Posted 16 days ago


Job description

About Us

YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.

We oerate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work Here

  • Ownership is real, not aspirational. An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work."
  • Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
  • AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

About the Role

You'll join one of our sector teams - covering industries like consumer goods, software, or financial services - where you'll own data products that help the world's top investors understand company performance, market trends, and competitive dynamics. Our sector teams are where the core analytical work happens: building and maintaining the data products that our clients depend on for high-stakes decisions.

As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise in our proprietary datasets and methodologies. You'll take full ownership of your products - ensuring accuracy, improving methodologies, and delivering insights that clients trust. Over time, you'll expand your scope: taking on more complex products, identifying opportunities to improve how your team works, and growing into a key contributor who shapes how we deliver value.

This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just execute on others'.

As a Data Analyst, you will:

  • Own data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
  • Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
  • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
  • Identify opportunities to improve products and processes - whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

You Are Likely To Succeed If:

  • You have 3-5+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment where you worked with complex data to inform real decisions
  • You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly for building reusable analysis workflows or automations
  • You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
  • You have tackled complex analytical problems and taken ownership beyond your immediate scope - you don't wait to be told what matters, you figure it out and drive it forward
  • You can communicate complex concepts clearly - including methodology, risks, and tradeoffs - both in writing and in conversation with technical and non-technical stakeholders
  • You actively use AI tools and are excited about using AI to drive leverage - not just productivity, but fundamentally better and faster ways of working

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual base compensation for this position is anticipated to be $130K-$180K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

The total compensation package includes a mix of base, bonus, equity, and benefits

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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