Top Senior Level Analytics Jobs in Dallas, TX
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Senior Data Analyst is responsible for data discovery, data structure definition, data dictionaries creation, data lineage documentation, and providing algorithms for mastering data to enable quality reporting and analytics. They oversee other analysts, lead complex projects, and provide strategic guidance. Required qualifications include a Bachelor's degree in Data Analytics or related field, 10+ years of experience, and expertise in SQL, Excel, ETL, and Tableau.
The Senior Advisor - Data Storytelling PM will process and analyze diverse data sources to create performance narratives that inform strategic fundraising decisions. Responsibilities include data analysis and visualization, generating insights from performance metrics, stakeholder engagement, maintaining dashboards, and training teams on analytics best practices.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
The Manager of Data & Analytics will supervise a team, manage data infrastructure, develop data models, and ensure data governance. Responsibilities include partnering with stakeholders for strategic data reporting and supporting data-driven initiatives. They will also coach junior team members and ensure compliance with global data regulations.
The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.
The Senior Analyst, Revenue Operations at Blink Health will lead Salesforce platform management including administration, customization, and integration. Responsibilities include enhancing system performance, ensuring data integrity, implementing process automation, and developing advanced reporting and analytics to drive operational excellence and support business strategy.
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
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