Top Senior Level Analytics Jobs in Houston, TX
The QA Analyst will ensure software quality and reliability by conducting manual and automation testing, developing testing procedures, and collaborating with cross-functional teams in Agile settings. Responsibilities include writing user stories, creating test plans, and ensuring compliance with accessibility standards.
The Principal Analytics Engineer at Nike will design and implement advanced cyber security data systems, ensuring best practices in data handling and security measures. Responsibilities include overseeing a big data analytics platform, enhancing performance metrics, and guiding junior team members on data reporting and visualization tools, while addressing security and compliance issues.
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.
As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.
The Credit Review Data Analyst will manage and analyze credit data for assessments and reporting on risk, quality, and trends, while collaborating with ICR stakeholders to enhance operational processes and data visualization techniques.
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
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.
The Head of Data Analytics will develop the analytics strategy, collaborate with product and data engineering teams, create core metrics and insights, lead tooling improvements, and mentor the analytics team to enhance capabilities and effectiveness.
The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
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