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Conservative Data Analyst Jobs (NOW HIRING)

Raymondjames

Analyst

New York, NY · On-site

$70K - $125K/yr

Collate and analyze data using preset tools, methods, and formats. Involves working independently ... conservative, long-term view. We expect our associates at all levels to: Grow professionally and ...

Raymond James Financial Services

Analyst

Manhattan, NY · On-site

$70K - $125K/yr

Collate and analyze data using preset tools, methods, and formats. Involves working independently ... and a conservative, long-term view. We expect our associates at all levels to: • Grow ...

Raymond James Financial, Inc.

Analyst

New York, NY · On-site

$70K - $125K/yr

Collate and analyze data using preset tools, methods, and formats. Involves working independently ... and a conservative, long-term view. We expect our associates at all levels to: • Grow ...

Sparks Group

Account Manager

Ashburn, VA

... conservative organizations to drive mission-critical success. Responsibilities : * Design data ... Analyze metrics and test creative strategies to proactively implement optimizations that maximize ...

HSP Direct

Political Strategist

Ashburn, GA · On-site

$100K - $129K/yr

... data providers, and production teams. * Optimize & Innovate - Analyze performance metrics, test ... A Passionate Conservative - Deeply committed to the values and mission of our clients. * A ...

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How much do conservative data analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for conservative data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Conservative Data Analyst, and why are they important?

To thrive as a Conservative Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau is often required. Attention to detail, critical thinking, and the ability to communicate complex findings clearly are crucial soft skills. These competencies enable accurate data interpretation and effective communication of insights to inform evidence-based decision-making.

What is a Conservative Data Analyst?

A Conservative Data Analyst is a professional who specializes in analyzing data with a focus on conservative political perspectives, policies, or audiences. Their work often involves collecting, interpreting, and presenting data that can inform conservative organizations, campaigns, or media outlets. They may analyze polling data, social trends, voter behavior, or policy impacts to support conservative causes. Their insights help shape strategies and decision-making processes within conservative groups.

How does a Conservative Data Analyst typically collaborate with political campaign teams and stakeholders?

As a Conservative Data Analyst, you’ll frequently work alongside campaign managers, communication strategists, and field organizers to interpret voter data and provide actionable insights. Collaboration often involves translating complex data into clear, actionable reports or visualizations that inform campaign messaging, outreach, and resource allocation. You may also participate in regular strategy meetings to discuss trends, adjust targeting efforts, and ensure data-driven decisions align with the campaign’s conservative values and goals. Effective communication skills and the ability to present findings to both technical and non-technical audiences are important for success in this collaborative environment.
Infographic showing various Conservative Data Analyst job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Investment Data Scientist | Financial Modeling & Portfolio Analytics

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Posted 6 days ago

Job description

Job Description Summary
Job Description
As part of the AMS Research team, the Investment Data Scientist plays a key role in developing, improving, and evaluating quantitative models that directly support investment decision-making and portfolio management. This is a hands-on technical role focused on writing production-quality Python code to analyze financial datasets, enhance portfolio construction methods, and automate investment workflows.
You'll collaborate closely with Investment Committee members, analysts, and other stakeholders to improve the investment process through portfolio optimization, statistical modeling, and process automation. You'll also develop interactive dashboards and visualizations that translate complex analytical outputs into actionable insights. This role requires strong analytical thinking, the ability to solve complex technical problems independently and collaboratively, and a commitment to delivering high-quality, validated results.
Essential Duties and Responsibilities
  • Develop and maintain robust Python code for portfolio construction, statistical analysis, and automation of investment workflows.
  • Design and implement portfolio optimization algorithms.
  • Apply advanced statistical methods to extract insights from financial datasets.
  • Collaborate with Investment Committee members, analysts, and quant team members to align model development with investment objectives and operational needs.
  • Build automated processes to eliminate manual tasks, reduce errors, and improve workflow efficiency.
  • Create interactive dashboards and visualizations to communicate analytical findings.

Knowledge, Skills, and Abilities
Core Knowledge (Required):
  • Python libraries for data manipulation and array mathematics: pandas, NumPy, SciPy, and optimization libraries such as CVXPY.
  • Statistical modeling and optimization: mixed integer programming, regressions, time series, and Monte Carlo simulation.
  • Data visualization: Streamlit, Tableau, Power BI, Plotly Dash, or similar platforms.
  • Quantitative finance: portfolio construction methods, risk modeling, and financial data analysis.

Preferred Knowledge:
  • Financial markets, investment products, and portfolio theory.
  • Performance measurement and attribution methodologies.
  • Django framework for database management.
  • Advanced investment concepts and practices in the securities industry.

Technical Skills:
  • Writing clean, documented, and version-controlled Python code.
  • Translating business problems into quantitative models and technical solutions.
  • Building and maintaining automated workflows.
  • Creating clear, intuitive data visualizations for non-technical audiences.
  • Validating and testing models to ensure accuracy and reliability.
  • Performing performance calculations and financial data analysis.

Abilities:
  • Work independently and collaboratively in a fast-paced team environment.
  • Deliver accurate, high-quality analytical work through rigorous testing and validation.
  • Manage multiple projects with competing deadlines.
  • Communicate complex technical concepts clearly to non-technical stakeholders.
  • Debug code, validate results, and ensure analytical accuracy.
  • Balance attention to detail with strategic thinking.
  • Adapt to changing priorities and requirements.
  • Learn new quantitative techniques and investment concepts quickly.
  • Promote team effectiveness through knowledge sharing and collaboration.

Educational and Experience Requirements
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related quantitative field.
  • 3-6 years of hands-on experience with Python development and quantitative analysis.
  • Demonstrated experience building optimization models, statistical systems, and/or automated workflows.
    OR
  • Any equivalent combination of experience, education, and/or training approved by Human Resources.

Education
Bachelor's: Computer and Information Science, Bachelor's: Economics, Bachelor's: Engineering, Bachelor's: Finance, Bachelor's: Mathematics, Bachelor's: Physics, Bachelor's: Statistics
Work Experience
General Experience - 3 to 6 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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