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Remote Data Optimization Jobs in Georgia (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Carrollton, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Valdosta, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Augusta, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Athens, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Lawrenceville, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Kennesaw, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Savannah, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Columbus, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Atlanta, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Macon, GA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

NTT DATA Services

Lead Systems Programmer

Alpharetta, GA · On-site +1

$63K - $94K/yr

Req ID: 344891 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Drive continuous improvement initiatives focused on operational excellence and process optimization

NTT DATA Services

Lead Systems Programmer

Alpharetta, GA · On-site +1

$63K - $94K/yr

Req ID: 344891 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Drive continuous improvement initiatives focused on operational excellence and process optimization

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Georgia? The most popular types of Data Optimization jobs in Georgia are:
What are popular job titles related to Remote Data Optimization jobs in Georgia? For Remote Data Optimization jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Georgia look for? The top searched job categories for Remote Data Optimization jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Optimization jobs? Cities in Georgia with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Vice President, Data & AI Strategy (Fully Remote)

Vice President, Data & AI Strategy (Fully Remote)

PadSplit

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

The Role We Need
PadSplit is looking for a Vice President, Data & AI Strategy to transform data, machine learning, and artificial intelligence into a strategic advantage that improves outcomes for our members, hosts, and business. Reporting directly to the CTO, this leader will oversee our Analytics, Machine Learning, and AI functions while driving responsible AI adoption across the company. This role will ensure our data and AI investments generate measurable business impact while maintaining the trust and ethical standards our mission demands.
The Person We Are Looking For
We are looking for an experienced executive who has successfully led integrated data, analytics, and machine learning organizations and has personally driven AI adoption at scale. The ideal candidate combines strong technical judgment with business acumen, helping leaders separate meaningful opportunities from hype while translating complex concepts into action. They are a pragmatic, mission-driven leader who can influence executives, develop teams, and ensure data and AI are deployed responsibly to improve people's lives.
Here's What You'll Be Doing Day-to-Day:
  • AI Strategy Leadership: Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement.
  • Organization Leadership: Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization.
  • Roadmap Ownership: Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities.
  • Data Platform Management: Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem.
  • Responsible AI Governance: Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices.
  • Product Partnership: Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes.
  • Executive Decision Support: Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations.
  • Technology Evaluation: Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.

Here's What You'll Need to Be Successful:
  • Executive Leadership: 10+ years of experience in data, analytics, machine learning, or AI leadership roles, including experience managing managers.
  • Integrated Team Leadership: Proven success leading both analytics and machine learning functions within a single organization.
  • AI Deployment Experience: Demonstrated track record implementing AI solutions at scale and measuring business outcomes.
  • Technical Expertise: Strong understanding of modern data platforms, machine learning systems, analytics tooling, and AI technologies such as Snowflake, dbt, and Hex.
  • Ethical AI Perspective: Clear point of view on AI governance, responsible deployment, bias mitigation, and customer impact.
  • Executive Communication: Ability to influence senior leaders, present to boards, challenge assumptions, and simplify complex technical concepts.
  • Cross-Functional Partnership: Experience working across Product, Finance, Marketing, Legal, and Operations to deliver business outcomes through data.
  • Data Platform Stewardship: Hands-on familiarity with modern data stacks and experience managing data quality, governance, and platform costs.

The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone call with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our CTO for one (1) hour.
  • If warranted, the next step would be a video panel interview with members of our leadership team for one (1) hour.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for two (2) hours.
  • The panel interview will require a candidate to work on a data assessment where you will showcase your data and AI skills to the panel for discussion.
  • If warranted, the final interview would be with our CEO.
  • If warranted, then we move to offer!

Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

$0 - $0 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
Notice to Applicants:
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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