Top Remote Data & Analytics Jobs in Houston, TX

Analyze user and customer behavior, develop segmentation, build dashboards, define organizational metrics, design experiments, investigate data issues, and deliver actionable insights. The role partners with marketing, sales, product, and UX teams to optimize engagement, conversion, growth, and strategic investments using analytics tools such as GA4 and Amplitude.

Design and maintain conceptual, logical, and physical data models for scalable data architectures. Implement Data Vault structures, including Hubs, Links, and Satellites, across enterprise data lakes and lakehouses. Deploy models using Azure data services, optimize performance, document data flows, and collaborate with engineers, scientists, analysts, and stakeholders. Apply data modeling best practices, integration techniques, security standards, and compliance requirements.

Analyze, optimize, and support CRM and service management systems, especially ServiceNow. Responsibilities include improving workflows, maintaining data quality, gathering requirements, developing reports and dashboards, troubleshooting issues, supporting integrations, training users, and testing enhancements. The role collaborates with Product, IT, and business teams to improve CRM functionality and adoption.

Analyze transaction and financial data, build stakeholder dashboards and reports, support compliance and regulatory reporting, and collaborate with data teams to maintain data quality for payment operations and decision-making.

Build and maintain scalable ETL/ELT pipelines, integrate data from APIs, databases, and third-party systems, and develop reliable data models for analytics and reporting. Ensure data quality, governance, security, and accessibility while supporting batch and real-time processing. Monitor pipeline performance, troubleshoot failures, and collaborate with Product, Analytics, Engineering, and Cloud teams to improve data architecture and enable data-driven decisions.

Own BookNook’s Snowflake data platform, including data modeling, access, cost, performance, pipelines, automation, and reporting. Build Python-based exports and state data feeds, develop BI dashboards, support privacy and security requirements, and deliver district, partner, executive, and research reporting. Lead data projects end to end, communicate findings to technical and nontechnical stakeholders, improve onboarding and data quality, and establish foundations for longitudinal student-outcomes research.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Leads enterprise data engineering strategy, platform modernization, governance, and operational excellence. Oversees data warehouses, lakes, lakehouses, integrations, quality, security, observability, and DataOps. Manages technical leaders and engineering teams while enabling AI, machine learning, analytics, and business intelligence. Partners with executives, manages vendors and budgets, and drives scalable, secure, business-ready data solutions.

Designs, develops, and maintains scalable data pipelines, integrations, warehouses, data marts, and models. Ensures data quality, security, governance, and regulatory compliance while monitoring pipeline performance. Collaborates with engineering, product, analytics, and business stakeholders to deliver reporting and analytics solutions. The role also documents data architectures, supports master data management, evaluates technology improvements, and contributes to enterprise data strategy in a healthcare technology environment.

Build and maintain Snowflake transformation layers and Power BI semantic models supporting reporting, self-service analytics, and AI initiatives. Develop SQL and dbt transformations, apply data modeling and business rules, automate manual data processes, troubleshoot data quality issues, and coordinate data projects from requirements through delivery. Collaborate with IT, data warehouse teams, engineers, analysts, and business stakeholders while contributing to code reviews, testing, CI/CD, and documentation.

Leads enterprise analytics and strategy engagements that translate complex business questions into decision-ready insights. Partners with executives and cross-functional leaders to evaluate opportunities, define measurement frameworks, identify data needs, and support growth, transformation, and operational effectiveness. Directs a team of analysts, establishes analytics methodologies, develops talent, and influences enterprise strategy through rigorous analysis, business acumen, and consultative leadership.

Build and optimize production batch and streaming data pipelines on Databricks using PySpark, SQL, Spark, and Delta Lake. Responsibilities include implementing Medallion architecture, deploying cloud data resources, automating validation, tuning performance, structuring enterprise datasets, and troubleshooting production issues. The role requires end-to-end ownership of enterprise data platforms, legacy warehouse migrations, data modeling, CI/CD, DevOps, and client-facing collaboration.

Lead customer-facing data engineering engagements from architecture through production handover. Build and optimize batch and streaming Lakehouse pipelines on Databricks using PySpark, SQL, and Delta Lake. Establish Medallion architecture conventions, implement data quality and automated testing, optimize Spark performance and platform costs, and mentor engineers. Partner with architects and explain technical trade-offs to customers.

Own enterprise Databricks Lakehouse target architectures, including ingestion, storage, transformation, serving, governance, cost, and performance. Lead legacy platform assessments and migration strategies, establish data modeling and Unity Catalog standards, guide technical estimates and pre-sales discovery, mentor engineers, review designs, and create reusable architecture assets. The role requires extensive data architecture experience, cloud migration expertise, Python, SQL, Spark, CI/CD, and customer-facing technical leadership.

Designs and executes Salesforce data migrations, including extracting, transforming, cleansing, mapping, loading, validating, and reconciling large datasets. Develops ETL workflows and Salesforce API integrations, supports testing and deployment, troubleshoots data issues, maintains performance and integrity, and documents migration processes. Collaborates with architects, developers, and stakeholders to deliver reliable data solutions.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.