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Director Predictive Analytics Jobs in Georgia (NOW HIRING)

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 ...

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out ...

... and predictive analytics * Leverage Claude, ChatGPT, and other AI tools to automate research ... Self-directed and resourceful-you figure things out and know when to ask for help * Passionate ...

... predictive analytics, and implementing evidence-based practices, including Positive Behavior ... Directly supervise the Director of Nursing and Clinical Director. * Conduct psychiatric evaluations ...

... analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide ... Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor ...

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

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 jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analysts, data scientists, business analysts, and marketing analysts. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

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 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:

Deals - Diligence Analytics Director

Pwc

Atlanta, GA • On-site

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Director

Job Description & Summary

The Opportunity
As a Deals - Diligence Analytics Director, you will engage with top private equity and corporate clients across various sectors, guiding them through complex, multi-billion dollar decisions. Within our Deals practice, you will leverage your skills to translate data into actionable insights, supporting clients throughout the deal lifecycle, from diligence to post-deal performance improvement and exit preparation.
As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions while overseeing multiple projects. You will cultivate executive-level client relationships, translating vision into reality and inspiring others to follow. Your role is crucial in driving business growth, shaping client engagements, and mentoring future leaders. You are expected to uphold our reputation for quality, integrity, and inclusion, fostering an environment where people and technology thrive together.
In this role, you will create value propositions by identifying market gaps and opportunities, scaling efficiencies across projects, and promoting a collaborative environment. You will drive the development of long-term relationships that add value to the firm, all while upholding our code of ethics and business conduct.
Responsibilities
- Leading the Deal Analytics practice to deliver data-driven insights for private equity and corporate clients across all deal phases
- Translating complex data into actionable insights to support multi-billion dollar decisions
- Overseeing the integration of third-party and alternative data to enhance commercial insights
- Managing multiple projects and environments to scale efficiencies and improve performance post-deal
- Sponsoring assignments and experiences to help team members realize their potential and support their long-term aspirations
- Identifying market gaps and spotting opportunities to create value propositions for clients
- Promoting a collaborative environment where people and technology thrive together
- Driving the development of connections that deliver optimal outcomes for stakeholders
- Upholding the firm's code of ethics and business conduct while fostering inclusion and diversity within teams
- Utilizing tools like Alteryx, Power BI, and Tableau to enhance data visualization and analytics solutions
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in complex data analysis and data-driven insights
- Utilizing advanced skills in data visualization tools like Tableau and Power BI
- Excelling in strategic questioning and systemic thinking for business growth
- Leading initiatives in data integration and data quality improvement plans
- Cultivating long-term relationships that add value to the firm and stakeholders

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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