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Executive Data Analytics Jobs in Georgia (NOW HIRING)

Executive Summary We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement. The ...

Executive Summary We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement. The ...

... executives in the Life Sciences sector, particularly in AI, Data, Analytics. * Experience shaping and growing consulting capabilities, defining service offerings, leading proposals and RFPs, and ...

Data Analytics Analyst II

Atlanta, GA · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... PowerPoint for executive/client presentations * Experience with Power BI is a plus * A strong ...

Executive Assistants also train other administrative staff on company policies and best practices. Ensure they can efficiently accomplish key tasks and company initiatives. * Acting as the ...

VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization ...

Description VAST Data is looking to hire a Sales Executive for our Analytics & AI team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

The IT Data & Analytics Lead will help build a new centralized analytics function. This role blends ... executive order. We are an equal opportunity employer and all qualified applicants will receive ...

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Executive Data Analytics information

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use advanced tools and techniques to interpret data, generate insights, and communicate findings to executives to improve business performance.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Georgia? The most popular types of Data Analytics jobs in Georgia are:

Manager, Data Analytics

HD Supply

Atlanta, GA • On-site

Full-time

Posted 19 days ago


HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

142nd of 415 rated retail wholesalers


Job description

Position Profile: Manager, Data Analytics (Individual Contributor)
Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual Contributor role. This is not a people management position and does not have direct reports. The individual will be expected to operate as a senior technical leader, owning critical analytics capabilities, data products, measurement frameworks, and cross-functional business partnerships.
Executive Summary
We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement.
The ideal candidate can independently design and build scalable analytical solutions, own production-grade datasets, develop measurement frameworks, conduct rigorous statistical analysis, and communicate complex findings to executive leadership in clear business language.
This role sits at the intersection of:
  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.
Core Requirements
Technical Depth (Most Important)
Advanced SQL & Data Modeling
Must demonstrate experience with:
  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering
Must have experience:
  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics
Experience with:
  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Python
Strong preference for:
  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations
The individual must be able to:
  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations

Act as the subject matter expert for analytics methodologies
Job Summary
Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.
Major Tasks, Responsibilities, and Key Accountabilities
  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope
  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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