Top Remote Senior Level Analytics Jobs in Dallas, TX

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

As a Senior Marketing Analyst, you will develop reporting on marketing initiatives, analyze customer acquisition and retention trends, and create dashboards to communicate insights. You will collaborate with cross-functional teams to drive marketing optimization and growth.

The Senior Analyst, Strategic Accounts Operations will support operations for the Strategic Accounts team at Telix Pharmaceuticals, focusing on sales performance analysis, forecasting, process optimization, and cross-functional collaboration. Key responsibilities include developing dashboards, conducting market analysis, managing contracts, and optimizing processes to enhance efficiency across the organization.

The Senior Data Analyst at MNTN will analyze data, create visualizations, and support data analysis needs within the Production Operations team. Responsibilities include conducting analytics for stakeholders, debugging data incidents, and collaborating on product improvements based on data insights.

The Senior Data Reporting and Development Consultant will implement data solutions for clients, focusing on business reporting needs using Power BI and SSRS. This role requires scoping, designing, and delivering reports while interacting with C Suite clients and using various cloud and on-prem solutions.

Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.