Senior Data Analyst

Role: Data Analyst IV Location: Remote remote, but there will be occasional visit “in office” at any below location:- (San Francisco, CA); (Chicago, IL); (New York, NY); (Richmond, VA); (Kansas City, MO); (Cleveland, OH); (Charlotte, NC); (Dallas, TX). Duration: 12 + months with the possibility of extending Role Type: Contract Skill Required with Amount of Experience:- We are seeking a highly skilled Senior Data Analyst to design, develop, and support data-driven solutions within a modern cloud-based data ecosystem. This role will focus on building and optimizing scalable, secure, and high-performing data pipelines while working across a lakehouse architecture. The ideal candidate will take a hands-on approach to analyzing complex data systems, troubleshooting issues, identifying root causes, and implementing effective solutions using tools such as Python, Spark, Databricks, Tableau, Starburst, Collibra, Alteryx, and R. Key Responsibilities: • Act as the primary point of contact for technical support related to data, applications, and processing issues for end users • Oversee and support application releases, including production monitoring and issue resolution for both technical and functional concerns • Contribute to testing strategies by evaluating system performance, documenting findings, and coordinating remediation efforts • Maintain accurate and up-to-date documentation including project timelines, system scope, and functional requirements • Identify opportunities to enhance processes and recommend improvements to leadership • Facilitate effective communication between business stakeholders and development teams to ensure alignment • Coordinate cross-functional activities such as development sessions, functional reviews, and technical discussions to ensure timely delivery • Track and document user interactions and issues within logging systems for reporting and performance analysis • Review and validate proposed technical solutions for system issues and provide recommendations to improve resolution strategies Required Qualifications: • At least 7 years of professional experience in a Data Analyst or similar role • Strong background in data modeling and application analysis, with proven ability to diagnose complex issues and implement solutions • Hands-on experience with Databricks and PySpark, particularly in building data quality frameworks and dashboards • Proficiency in Spark and Python, including scripting, automation, debugging, and performance optimization • Experience working with Databricks along with either Starburst or Tableau for data visualization and querying • Experience working with Databricks along with either Collibra or Alteryx for data governance or analytics workflows • Familiarity with Agile methodologies or SAFe framework, along with tools such as Jira • Strong analytical thinking, problem-solving ability, and system design skills Preferred Qualifications: • Certifications such as CBAP, Agile Analysis Certification, or equivalent credentials • Experience working in large-scale enterprise data environments • Exposure to cloud-based data platforms and lakehouse architectures