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Remote Data Optimization Jobs in Houston, TX (NOW HIRING)

BA

Houston, TX ยท Remote

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract ...

Route Optimization Engineer - Remote

Houston, TX ยท On-site +1

$100K - $115K/yr

This role will provide baseline performance data as well as projected outcome statistics ... Extensive knowledge of route optimization or the proficiency and aptitude to learn route modeling ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Identify opportunities for process improvements and optimization based on data analysis and provide ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization ...

Data Analysis & Reporting * Work closely with Finance to report savings, track KPIs, and validate ... remote work on Fridays. YOUR COMPANY BENEFITS At Crown Castle, we do our best to ensure you have ...

Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement ... and optimization of machine learning and Generative AI solutions for our customer care ecosystem.

Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement ... and optimization of machine learning and Generative AI solutions for our customer care ecosystem.

Remote Work Environment * Flexible Time Away From Work Policy including PTO, Personal and Sick Days ... Assess customer-specific requirements and recommend approaches for performance optimization, data ...

LLM optimization & improved response handling. Responsibilities: * Design, develop, and deploy ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

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Remote Data Optimization information

See Houston, TX salary details

$15

$54

$77

How much do remote data optimization jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote data optimization in Houston, TX is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $64.28 per hour, depending on experience, location, and employer.

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 popular job titles related to Remote Data Optimization jobs in Houston, TX? For Remote Data Optimization jobs in Houston, TX, the most frequently searched job titles are:
What cities near Houston, TX are hiring for Remote Data Optimization jobs? Cities near Houston, TX with the most Remote Data Optimization job openings:
BA

$44 - $68/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 29 days ago


Job description

Job Title: Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract Compensation: $44-68/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a skilled Business Analyst to join their Data and Optimization team on a 12-month contract. This role focuses on strategic data management, data governance, and data mapping initiatives, leveraging AI-driven automation and advanced analytics to ensure data accuracy and accessibility across the organization. The ideal candidate is highly self-motivated, capable of driving projects forward independently while collaborating with cross-functional stakeholders to improve data quality and business outcomes.

Day-to-Day Responsibilities:

  • Lead deployment of new reports, automation solutions, and Data Center processes - including validation, documentation, and stakeholder sign-off
  • Drive user enablement through targeted training sessions, job aids, and ongoing support to ensure adoption of new capabilities
  • Assist in developing and implementing data management strategies using AI and automation to validate, cleanse, and monitor data quality at scale
  • Support data governance initiatives to maintain data accuracy, consistency, and regulatory compliance
  • Perform data mapping to ensure seamless integration and interoperability across systems
  • Collaborate with cross-functional teams to democratize data and enable self-service, AI-assisted access for decision-making
  • Conduct data analysis and proofs-of-concept (POCs), including AI-enabled validation and pattern detection, to surface trends and insights
  • Develop and maintain data documentation including data dictionaries, metadata, data lineage, and user support artifacts
  • Define project objectives, success criteria, and key performance indicators (KPIs)

Minimum Requirements:

  • Proficiency in Snowflake, Atlan, and/or MS Fabric
  • AI knowledge and/or implementation experience
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or related field
  • Proven experience in data analysis, data management, and data governance
  • Proficiency in SQL and relational databases (joins, aggregations, macros, functions)
  • Experience with data visualization tools, particularly Power BI
  • Strong knowledge of data mapping techniques and tools
  • Experience with data catalog tools and metadata management
  • Knowledge of data privacy regulations and compliance standards
  • Exceptional verbal and written communication skills - able to translate complex data concepts for both executive and non-technical audiences
  • Strong analytical and problem-solving skills
  • Background in logistics strongly preferred
Preferred Qualifications:
  • Experience with automation tools for data validation and cleanup workflows