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Economic Modelling Jobs in Oregon (NOW HIRING)

$78K - $107K/yr

... and economic growth. Since 1997 we have worked in over 100 countries for clients such as US ... Experience modelling water supply resources such as FEFLOW, HydroGeoSphere, PFLOTRAN, or MODFLOW.

$78K - $107K/yr

... and economic growth. Since 1997 we have worked in over 100 countries for clients such as US ... Experience modelling water supply resources such as FEFLOW, HydroGeoSphere, PFLOTRAN, or MODFLOW.

$78K - $107K/yr

... and economic growth. Since 1997 we have worked in over 100 countries for clients such as US ... Experience modelling water supply resources such as FEFLOW, HydroGeoSphere, PFLOTRAN, or MODFLOW.

$78K - $107K/yr

... and economic growth. Since 1997 we have worked in over 100 countries for clients such as US ... Experience modelling water supply resources such as FEFLOW, HydroGeoSphere, PFLOTRAN, or MODFLOW.

OR · On-site

Bachelor's degree or equivalent, preferably in Finance, Economics, Accounting, or Business ... Financial modelling experience is also We aim to retain and attract great people, knowing they can ...

Economic Modelling information

What is economic modelling?

Economic modelling is the process of creating mathematical frameworks and simulations to represent economic processes, relationships, or systems. These models help economists analyze complex scenarios, forecast outcomes, and evaluate the impact of policy decisions or market changes. Economic models can be simple or highly complex, depending on the variables and assumptions involved. They are widely used in government, academia, and business to guide decision-making and understand economic dynamics.

What do economic modelling do?

Economic modelling involves creating mathematical representations of economic systems to analyze and forecast economic behavior and outcomes. Economists use these models to inform policy decisions, assess risks, and evaluate the potential impact of economic changes, often utilizing statistical tools and data analysis skills.

What is the difference between Economic Modelling vs Data Analyst?

AspectEconomic ModellingData Analyst
Required CredentialsDegree in Economics, Finance, or related field; often requires advanced degreesBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often in finance, government, or consulting firmsBusiness or tech companies, analyzing large datasets
Employer & Industry UsageUsed in economic forecasting, policy analysis, financial modelingUsed in marketing, operations, and business intelligence

Economic Modelling and Data Analysts both work with data, but Economic Modelling focuses on creating economic forecasts and financial models, often requiring advanced economics knowledge. Data Analysts interpret data to inform business decisions, typically with a stronger emphasis on data manipulation and visualization. While overlapping skills exist, their primary applications and industries differ.

What are some common challenges faced by professionals in economic modelling roles, and how can they be addressed?

Economic modelling professionals often encounter challenges such as managing incomplete or inconsistent data, adapting models to rapidly changing economic conditions, and effectively communicating complex findings to non-technical stakeholders. Addressing these issues typically involves collaborating closely with data analysts and subject matter experts to enhance data quality, staying current with economic trends, and developing strong presentation skills to translate technical results into actionable business insights. Proactively seeking feedback and participating in cross-functional teams can also help in overcoming these challenges and delivering impactful work.

What are the key skills and qualifications needed to thrive as an economic modeller, and why are they important?

To thrive as an Economic Modeller, you need a strong background in economics, mathematics, and statistical analysis, often supported by a degree in economics or a related field. Proficiency with technical tools such as Excel, statistical software (e.g., Stata, R, or Python), and econometric modelling platforms is typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly help individuals stand out in this role. These skills are crucial for producing accurate forecasts, informing policy or business decisions, and effectively conveying model insights to stakeholders.
What are popular job titles related to Economic Modelling jobs in Oregon? For Economic Modelling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Economic Modelling jobs in Oregon look for? The top searched job categories for Economic Modelling jobs in Oregon are:
Infographic showing various Economic Modelling job openings in Oregon as of July 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Lead Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Agoda

Portland, OR • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Agoda is a leading travel platform that connects people to destinations and experiences worldwide. They are seeking a Lead Analyst for their Supply Analytics team to deliver data-driven insights and decision support, optimizing Agoda's supply ecosystem through analysis, forecasting, and project management.
Responsibilities:
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
Qualifications:
Required:
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
• Advanced working knowledge and hands-on experience in SQL
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
• Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite
• Experience in conducting A/B testing experimentation
• Strong experience in finding data insights and provide business recommendation to the business
• A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills
• Data driven in both decision making and performance measurement
• Extreme comfort in ambiguous, fast-paced environment
• Ability to multi-task, prioritize and coordinate resources
Preferred:
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience
• Asian market experience
• Travel industry / e-commerce / tech / consulting experience
Company:
Agoda is a digital travel platform that provides access to hotels and holiday properties including flights. It is a sub-organization of Booking Holdings. Founded in 2005, the company is headquartered in Singapore, SGP, with a team of 5001-10000 employees. The company is currently Late Stage.