Top Data & Analytics Jobs in Houston, TX

Serve as SME for convenience retail and major oil verticals to design, develop, test, and maintain BI reports, dashboards, and audience segments. Interface with customers, support CRM campaign audiences, validate data, deliver ad-hoc extracts, and optimize analytics solutions for performance.

Assist with data entry processes for vendor and customer invoices, focusing on accuracy and customer service skills. This is an entry-level position with potential for advancement.

As a Senior Financial Planning Strategist, you will provide innovative financial solutions, conduct research, review complex documents, mentor colleagues, and deliver presentations for high-net-worth clients and advisors.

The Privacy Compliance Analyst oversees data subject access requests, compliance audits, and projects related to global data privacy regulations, ensuring compliance and effective communication within the organization.

The Senior Associate will analyze data and provide solutions for supply chain challenges in manufacturing. Responsibilities include client interactions, managing projects, and supporting business development.

Lead performance analytics for integrated digital campaigns across onsite, email, paid media, SEO/SEM, display, and social. Build dashboards, conduct advanced analyses (segmentation, attribution, funnel, forecasting), design experiments, and translate insights into recommendations to optimize ecommerce revenue and engagement. Collaborate with cross-functional teams and maintain analytics tools and data integrity.

The analytics consultant will manage client projects, create dashboards with Tableau/Power BI, write SQL queries, and collaborate with the team to promote continuous improvement.

Support the Legal Compliance & Ethics Department by managing third-party intermediary diligence programs, vendor documentation, communications, and recordkeeping. Assist with audits and presentations while ensuring compliance standards are met.

Partner with cross-functional teams to drive data-driven decisions, design and analyze A/B tests, identify scalable user acquisition levers, automate processes, and use advanced ML models to inform product and growth strategy.

Design, build, and maintain scalable data pipelines into an enterprise cloud data warehouse to enable analytics, reporting, and advanced solutions. Collaborate with data architecture, IT operations, DBAs, infrastructure teams, analytics leaders, and business stakeholders to ensure system availability, performance, and timely resolution of data issues.