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Remote Sql Developer Data Analyst Jobs in Houston, TX

Experience writing SQL for dashboard creation and writing reports. JavaScript language experience ... If remote, able to effectively communicate day to day and show daily output Day to Day resp: * ...

Senior Maximo Developer

Houston, TX · On-site +1

$91K - $126K/yr

Write and optimize SQL queries while helping maintain data quality and application performance ... Provide production support and perform root-cause analysis for recurring issues. Mentor junior ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the ...

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... data through a protected electronic network. This real-time networking system provides quick and ... Strong SQL and database skills (e.g., InterSystems Caché, MS SQL Server, PostgreSQL) * Familiarity ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Power Platform Developer (Hybrid)

Houston, TX · On-site +1

$53 - $70.25/hr

Data Transformation: Utilize SQL for data transformation and manipulation to provide relevant ... Coding analyzer/profiling Toolsets. * Exhibits a proactive and optimistic mindset, consistently ...

Showing results 41-60

Remote Sql Developer Data Analyst information

See Houston, TX salary details

$20.5K

$83.6K

$121.3K

How much do remote sql developer data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote sql developer data analyst in Houston, TX is $83,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $95,500.00 per year, depending on experience, location, and employer.

How do remote SQL developer data analysts typically collaborate with team members despite working offsite?

Remote SQL Developer Data Analysts often collaborate with colleagues through virtual meetings, shared documentation platforms, and project management tools. Regular communication with data engineers, business analysts, and stakeholders is essential for aligning on project goals and ensuring data accuracy. Many teams use tools like Slack, Microsoft Teams, or Jira to facilitate real-time updates, code reviews, and feedback loops. Establishing clear communication protocols and maintaining transparency about progress and blockers are key to successful remote collaboration in this role.

What is a remote SQL developer data analyst?

Remote SQL Developer Data Analysts are professionals who work primarily with SQL databases to collect, process, and analyze data, all while working from a remote location. Their responsibilities include designing queries, creating reports, optimizing database performance, and translating data into actionable insights for businesses. They collaborate with teams virtually to support decision-making and often utilize tools like SQL Server, MySQL, or PostgreSQL. This role combines technical database skills with analytical thinking and effective communication to solve business problems from anywhere.

What are the key skills and qualifications needed to thrive as a remote SQL developer data analyst?

To thrive as a Remote SQL Developer Data Analyst, you need a strong grasp of SQL programming, data modeling, and analytical problem-solving skills, usually supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms (like MySQL, SQL Server, or PostgreSQL), data visualization tools (such as Tableau or Power BI), and relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) is highly valuable. Excellent communication, self-motivation, and attention to detail are key soft skills for remote collaboration and translating data into actionable insights. These skills and qualities are crucial for efficiently extracting, analyzing, and presenting data to support informed business decisions in a distributed work environment.

What is the difference between Remote Sql Developer Data Analyst vs Data Engineer?

AspectRemote Sql Developer Data AnalystData Engineer
Required CredentialsBachelor's in CS, Data Analysis certifications, SQL proficiencyBachelor's or higher in CS or related field, SQL, Python, cloud certifications
Work EnvironmentRemote or on-site, business or tech companiesRemote or on-site, tech companies, data-centric organizations
Employer & Industry UsageBusiness intelligence, finance, healthcareTech firms, data platforms, large enterprises
Common Search & ComparisonYesYes

The Remote Sql Developer Data Analyst primarily focuses on analyzing data, creating reports, and managing SQL databases to support business decisions. Data Engineers build and maintain data pipelines, infrastructure, and architecture to enable data collection and processing at scale. While both roles require SQL skills and often overlap in data handling, Data Engineers typically work on the technical infrastructure, whereas Data Analysts interpret data for insights.

What are popular job titles related to Remote Sql Developer Data Analyst jobs in Houston, TX? For Remote Sql Developer Data Analyst jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Sql Developer Data Analyst jobs in Houston, TX look for? The top searched job categories for Remote Sql Developer Data Analyst jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Sql Developer Data Analyst jobs? Cities near Houston, TX with the most Remote Sql Developer Data Analyst job openings:

Data Engineering Manager

Horizontal Talent

Houston, TX • Remote

Full-time

Posted 10 days ago


Job description

Join a dynamic data leadership role focused on building trusted, scalable data solutions for retail media and analytics. This position offers the chance to shape data strategy, strengthen governance, and enable reporting and insights that support business decisions across multiple teams.

Responsibilities
  • Lead end-to-end data management across ingestion, transformation, integration, quality assurance, governance, and analytics enablement.
  • Define and maintain standards for how data is sourced, processed, validated, documented, and used across platforms.
  • Oversee the design and upkeep of data pipelines that move information across cloud and enterprise systems.
  • Partner with technical and business teams to translate data needs into scalable solutions that support reporting and analysis.
  • Monitor data quality, resolve issues, and help establish strong controls for accuracy, consistency, and reliability.
  • Support data modeling and reporting efforts to ensure datasets are usable for dashboards, self-service analytics, and operational insights.
  • Collaborate with analysts, engineers, and stakeholders to align data outputs with business definitions and reporting needs.
  • Help guide data-related workstreams and coordinate priorities across cross-functional teams.
  • Support retail media and marketing analytics initiatives by ensuring data is available for campaign performance and operational reporting.
Skills
  • Experience in data management, data engineering, analytics, or business intelligence.
  • Strong SQL skills for querying, validation, and analysis.
  • Hands-on experience with ETL/ELT processes, data integration, and transformation workflows.
  • Familiarity with cloud data platforms such as Google BigQuery, Snowflake, and Microsoft Azure.
  • Working knowledge of Looker and LookML or semantic data modeling concepts.
  • Understanding of data quality, governance, metadata management, and compliance practices.
  • Experience using Python-based data tools such as Pandas, NumPy, or PySpark.
  • Strong problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities while maintaining data accuracy and consistency.
Preferred Skills
  • Experience supporting retail media networks, digital media, ad tech, or marketing analytics.
  • Background in media, retail, convenience store, or promotional data environments.
  • Experience guiding cross-functional data delivery efforts or coordinating technical workstreams.
  • Familiarity with KPI frameworks, metric governance, and reporting standards.
  • Ability to connect technical details with business goals and communicate clearly with diverse audiences.

Horizontal is committed to fostering an inclusive, respectful, and collaborative workplace where different perspectives are valued. We welcome candidates from all backgrounds and encourage applicants who can contribute to a culture of equity, belonging, and continuous improvement.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.