Top Remote Senior Level Data & Analytics Jobs in Dallas, TX

The Application Programmer Analyst 3 will be responsible for developing, analyzing, and maintaining software applications and systems to optimize operations. This role involves working with stakeholders to identify business needs, designing technical solutions, and performing programming tasks.

The Analyst Relations Manager will build and nurture relationships with industry analysts, develop strategic engagement plans, and ensure effective communication of the company’s market positioning and value proposition. The role involves coordinating analyst interactions, gathering market insights, and collaborating with internal teams to support business objectives and enhance the company's reputation among analysts.

The Sr. Business Analyst will analyze, design, and implement eApplication solutions for F&G's business units and external customers. Responsibilities include mentoring team members, managing requirements documentation, coordinating testing, and improving business processes. The role requires effective communication with IT and business stakeholders, along with expertise in electronic order entry platforms and financial services.

The role involves leading Azure data solutions implementation, collaborating with stakeholders, problem-solving, and overseeing the full lifecycle of data engineering projects. Responsibilities include ensuring effective data movement, both batch and streaming, while engaging in Agile methodologies.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

As a Senior Data Scientist at Twilio, you will use data to analyze Sales, Marketing, and Finance trends, working closely with GTM leaders to provide actionable insights.

The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.