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Predictive Analyst Jobs (NOW HIRING)

Aston Carter

Marketing Intelligence Analyst

Atlanta, GA · On-site

The analyst partners closely with marketing, IT, and data engineering teams to unify data sources ... Develop and apply predictive models to forecast campaign outcomes and optimize channel mix, timing ...

The Mutual Group

Senior Predictive Modeler

Iowa, LA · On-site +1

$120K - $200K/yr

Analytical Leadership: Serve as a subject matter expert on predictive modeling methodologies and best practices across the organization. * Identify opportunities for new data sources, modeling ...

4pconsultinginc

Data Analytics Analyst I

Birmingham, AL · On-site

... predictive modeling. Key Responsibilities * Collect, clean, analyze, and interpret data from ... multiple sources. * Use Python, R, SQL , and visualization tools to identify trends, patterns, and ...

Aston Carter

Marketing Intelligence Analyst

Atlanta, GA

$38.46 - $43.77/hr

The analyst partners closely with marketing, IT, and data engineering teams to unify data sources ... Develop and apply predictive models to forecast campaign outcomes and optimize channel mix, timing ...

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How much do predictive analyst jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for predictive analyst in the United States is $45.97, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $58.65 per hour, depending on experience, location, and employer.

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors based on historical data. They often work with tools like Python, R, or SQL and interpret data to support decision-making in various business areas. Strong analytical skills and knowledge of machine learning are essential for this role.

Is 40 too late for data science?

Predictive analysts and data scientists can successfully enter the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications.

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

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a Predictive Analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

Which 3 jobs will survive AI?

Predictive analysts are likely to continue thriving as their role involves interpreting complex data and developing models that require human judgment and domain expertise. Jobs that involve creative thinking, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and managers, are also expected to persist despite AI advancements. These roles often require skills that are difficult for AI to replicate fully.

What is a Predictive Analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

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

Predictive analysts typically do not earn $1,000,000 annually; such high salaries are usually associated with top executives, successful entrepreneurs, hedge fund managers, or highly specialized roles in finance and technology. Achieving this level often requires extensive experience, advanced skills, and significant performance-based bonuses or equity. Most roles in data analysis and related fields have lower salary ranges, with top-tier positions in certain industries reaching high seven figures or more.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

More about Predictive Analyst jobs
What cities are hiring for Predictive Analyst jobs? Cities with the most Predictive Analyst job openings:
What states have the most Predictive Analyst jobs? States with the most job openings for Predictive Analyst jobs include:
What job categories do people searching Predictive Analyst jobs look for? The top searched job categories for Predictive Analyst jobs are:
Predictive Analyst jobs near you
Infographic showing various Predictive Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,616 per year, or $46 per hour.
Marketing Intelligence Analyst

Marketing Intelligence Analyst

Aston Carter

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Title: Marketing Intelligence Analyst
Job Description
The Marketing Intelligence Analyst designs and delivers data-driven insights that power modern marketing strategies and execution. This role builds and maintains Power BI dashboards, analyzes campaign and audience performance, and develops predictive models to optimize channel mix, spend, targeting, and messaging. The analyst partners closely with marketing, IT, and data engineering teams to unify data sources, operationalize AI across campaigns, and translate complex analytics into clear, actionable recommendations that improve marketing performance and business outcomes.
Responsibilities
  • Design, develop, and maintain marketing-focused dashboards in Power BI that provide real-time insights across campaigns, audiences and personas, content, and communication channels.
  • Analyze historical and current marketing performance data to identify trends, opportunities, and key drivers of campaign effectiveness, audience engagement, and conversion.
  • Develop and apply predictive models to forecast campaign outcomes and optimize channel mix, timing, budget and spend, and targeting to support data-informed marketing planning and prioritization.
  • Support AI-driven marketing planning and initiatives, including multi-product campaigns, persona enrichment, precision engagement, experimentation, and performance testing.
  • Translate complex datasets and predictive analytics into clear, actionable recommendations for marketing leadership and team members to guide messaging, spend allocation, and campaign design.
  • Collaborate closely with marketing, IT, and data engineering teams to integrate internal and external data sources, ensuring a unified and accurate view of marketing performance and customer behavior.
  • Develop and enforce processes that ensure the accuracy, completeness, and consistency of marketing and sales datasets used for campaign reporting and optimization.
  • Contribute to the data governance framework by defining and maintaining marketing-specific KPIs, metrics, and business rules aligned with campaign and go-to-market objectives.
  • Evaluate and optimize marketing-owned data systems such as Salsify, HubSpot, and related platforms so that data is structured and maintained to support effective marketing execution, insights, and predictive modeling.
  • Assist in operationalizing AI across campaign planning, budgeting, media modeling, forecasting, and closed loop learning systems to continuously improve marketing performance.
  • Monitor and evaluate the effectiveness of AI-powered marketing initiatives, iteratively refining models, assumptions, and dashboards to maximize business and marketing impact.
  • Stay current with emerging marketing analytics tools, predictive modeling techniques, and AI applications relevant to modern marketing and go-to-market teams.

Essential Skills
  • Bachelor's degree in Business, Marketing, Data Analytics, Information Systems, or a related field.
  • At least 2 years of experience in business intelligence, analytics, or data analysis, with hands-on experience supporting marketing teams or reporting on marketing campaign performance.
  • Strong proficiency with Power BI, including report building, data modeling, and DAX.
  • Solid understanding of SQL for querying and transforming data.
  • Experience working with marketing data sources such as campaign, channel, audience, or engagement data.
  • Experience with ETL processes and handling both structured and unstructured datasets.
  • Ability to work with APIs and integrate external partner or platform data into internal systems.
  • Experience with predictive modeling or advanced analytics techniques applied to marketing or customer data.

Additional Skills & Qualifications
  • Experience with cloud data platforms such as Azure, Databricks, or similar technologies.
  • Proficiency in Python, R, or similar tools for predictive analytics, automation, and data modeling.
  • Familiarity with marketing platforms such as HubSpot, marketing automation tools, CRM systems, or product and content data systems.
  • Knowledge of data governance, data security, and best practices for handling marketing and partner-provided data.
  • Experience in cross-functional roles that bridge marketing strategy, analytics, and IT or data engineering teams.
  • Interest in marketing strategy, marketing analysis, and digital marketing.
  • Desire to grow within a dynamic and expanding company environment.

Work Environment
This is an onsite role within a growing organization that values collaboration between marketing, analytics, and technology teams. You will work closely with stakeholders across marketing, IT, and data engineering, using tools such as Power BI, SQL, cloud data platforms, and marketing systems like HubSpot and Salsify. The environment supports hands-on experimentation with AI, predictive analytics, and modern digital marketing technologies to drive continuous improvement in marketing performance.
Job Type & Location
This is a Contract position based out of Atlanta, GA.
Pay and Benefits
The pay range for this position is $38.46 - $43.77/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Atlanta,GA.
Application Deadline
This position is anticipated to close on Jul 10, 2026.
About Aston Carter
Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® Platinum Award winner for both client and talent service.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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About Aston Carter

Sourced by ZipRecruiter

At Aston Carter, we're dedicated to expanding career opportunities for the skilled professionals who power our business. Our success is driven by the talented, motivated people who join our team across a range of positions - from recruiting, sales and delivery to corporate roles. As part of our team, employees have the opportunity for long-term career success, where hard work is rewarded and the potential for growth is limitless. Established in 1997, Aston Carter is a leading staffing and consulting firm, providing high-caliber talent and premium services to more than 7,000 companies across North America. Spanning four continents and more than 200 offices, we extend our clients' capabilities by seeking solvers and delivering solutions to address today's workforce challenges. For organizations looking for innovative solutions shaped by critical-thinking professionals, visit AstonCarter.com. Aston Carter is a company within Allegis Group, a global leader in talent solutions.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MA, US

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