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Economic Modelling Jobs in Indiana (NOW HIRING)

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Use statistical techniques and predictive modelling to improve decision-making. * Document ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Milliman

Consulting Actuary

Indianapolis, IN

Wide variety of assignments, including pricing, modelling, mergers & acquisitions, asset liability ... Strong academic background in Actuarial Science, Finance, Statistics, Economics, Mathematics or ...

Milliman

Consulting Actuary

Indianapolis, IN · On-site

Wide variety of assignments, including pricing, modelling, mergers & acquisitions, asset liability ... Strong academic background in Actuarial Science, Finance, Statistics, Economics, Mathematics or ...

All JobsEconomic Modelling JobsEconomic Modelling Jobs in Indiana

Economic Modelling information

See Indiana salary details

$29.5K

$69.7K

$123.7K

How much do economic modelling jobs pay per year?

As of Jul 14, 2026, the average yearly pay for economic modelling in Indiana is $69,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,800.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In economic modeling, high-earning roles such as senior quantitative analysts, chief economists, or partners at major financial firms can reach or exceed $1 million annually, often through a combination of salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and extensive experience in finance or economics. Compensation varies widely based on industry, location, and individual performance.

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 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 jobs can you do with financial modelling?

Financial modelling skills are essential for roles such as financial analyst, investment analyst, corporate finance analyst, and risk analyst. These jobs involve building financial models to support decision-making, valuation, budgeting, and forecasting using tools like Excel and financial software. Strong analytical skills and understanding of accounting and economics are also important for these positions.

What do economic models do?

Economic modelling involves creating mathematical or computational representations of economic systems to analyze and predict economic behavior and outcomes. Economic modelers use these models to inform policy decisions, forecast market trends, and evaluate the potential impact of economic changes, often utilizing tools like statistical software and data analysis techniques.

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 jobs pay 500,000 a year in the US?

In the field of economic modeling, senior roles such as Chief Economist, Director of Economic Research, or senior quantitative analysts at large financial firms can reach or exceed $500,000 annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and strong analytical skills with tools like statistical software and economic modeling platforms.

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 Indiana? For Economic Modelling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Economic Modelling jobs in Indiana look for? The top searched job categories for Economic Modelling jobs in Indiana are:
Economic Modelling jobs near you
Infographic showing various Economic Modelling job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $69,712 per year, or $33.5 per hour.
DWD - Data Analyst

DWD - Data Analyst

Staffingine LLC

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago

Job description

Job Title: DWD - Data Analyst
Location: Indianapolis, IN
Job Type: Full-Time

Job Description:

  • Gather, clean, and organise large datasets from various sources.
  • Validate and verify data accuracy, consistency, and completeness across various data sources.
  • Identify and resolve data discrepancies, inconsistencies and errors.
  • Perform routine and ad hoc data quality checks using automated and manual validation techniques.
  • Work closely with data entry teams and other analysts, and stakeholders to ensure data integrity.
  • Perform data analysis to identify trends, patterns, and correlations.
  • Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.
  • Collaborate with cross-functional teams to support business objectives.
  • Interpret data to provide strategic recommendations and business insights.
  • Ensure data accuracy and integrity.
  • Use statistical techniques and predictive modelling to improve decision-making.
  • Document processes and methodologies for data collection and analysis.

Required Skills & Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in data analysis tools such as SQL, Python, R, or Excel.
  • Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work independently and in a team-oriented environment.