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Director Predictive Analytics Jobs in Georgia (NOW HIRING)

Pwc

Data Validation Risk - Director

Atlanta, GA

$155K - $410K/yr

As a Director, you will set the strategic direction and lead business development efforts, making ... predictive analytics and statistical modeling to solve business challenges - Confirming data ...

Pwc

Deals - Diligence Analytics Director

Atlanta, GA

$155K - $410K/yr

As a Director, you will set the strategic direction and lead business development efforts, making ... or predictive modeling/ML (Python, SAS) - Demonstrating proficiency in complex data analysis and ...

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Director Predictive Analytics information

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

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What are the most commonly searched types of Predictive Analytics jobs in Georgia? The most popular types of Predictive Analytics jobs in Georgia are:
What cities in Georgia are hiring for Director Predictive Analytics jobs? Cities in Georgia with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you
Manager/Sr. Analyst, Finance Predictive Analytics

Manager/Sr. Analyst, Finance Predictive Analytics

Salesforce, Inc.

Atlanta, GA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New

Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

105th of 209 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

We are seeking a Manager/Sr. Analyst, Finance Data Science & Predictive Analytics to help build and scale advanced analytics, machine learning, and AI-driven forecasting capabilities within Financial Planning & Analysis (FP&A). This role will partner closely with finance and data teams to develop predictive models, automate insights, and enhance the accuracy of financial planning and decision-making. The ideal candidate combines strong technical expertise with business acumen and thrives in a fast-paced, highly collaborative environment.

What You'll Actually Be Doing

  • Develop and deploy predictive models that improve financial forecasting, planning, and business performance visibility.

  • Partner with FP&A teams to identify high-impact use cases and translate business challenges into scalable analytics solutions.

  • Establish foundational data pipelines, model governance, and performance monitoring processes to support enterprise-grade forecasting capabilities.

  • Generate actionable insights from financial and operational data to support strategic decision-making.

  • Drive adoption of AI, machine learning, and automation solutions across Finance in partnership with FP&A, and Data teams.

  • Build self-service analytics and reporting capabilities that improve stakeholder access to trusted financial and business performance metrics.

  • Ensure data integrity, reconciliation, and consistency across multiple systems and data sources.

  • Communicate analytical findings and recommendations to finance leadership and cross-functional stakeholders.

You're Our Person If...

  • 4+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Sr. Analyst level; 7+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Manager level.

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, Engineering, or a related discipline or equivalent relevant experience required. Experience will be evaluated based on the Core Competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • Strong hands-on experience with SQL and Python, including building and deploying analytical models.

  • Experience working with cloud data platforms and modern analytics environments (e.g., GCP, Snowflake, BigQuery).

  • Familiarity with machine learning techniques, predictive modeling, and AI/LLM-based applications.

  • Experience with BI and observability tools such as Tableau, Looker, Amplitude, Datadog, or similar platforms.

  • Strong data validation and reconciliation skills across large, complex datasets

  • Ability to translate technical concepts into business insights for non-technical audiences.

  • Self-starter who is comfortable operating in ambiguity, building new capabilities from the ground up, and influencing without direct authority.

Even Better If...

  • Experience within SaaS or technology organizations

This role is hybrid and goes into the office 3 days per week.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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