Data Analyst

Job Title: Data Analyst Location: Austin, TX (Hybrid) Duration: Long-Term Contract Job Summary We are seeking an experienced and detail-oriented Data Analyst to join a dynamic Business Development and Strategy team. The ideal candidate is passionate about solving complex business problems, transforming data into actionable insights, and collaborating with cross-functional teams to drive business decisions. This role offers the opportunity to work with large datasets, build analytical solutions, and influence strategic initiatives in a fast-paced environment. Key Responsibilities • Analyze complex datasets to identify trends, patterns, and actionable business insights. • Work closely with cross-functional teams to gather business requirements and translate them into analytical solutions. • Build, maintain, and optimize data pipelines to support reporting and analytics. • Design and develop interactive dashboards, reports, and visualizations. • Perform exploratory data analysis and apply data modeling techniques to support business initiatives. • Collaborate with data engineers and product teams to improve data quality and availability. • Validate data accuracy and proactively identify, document, and resolve data quality issues. • Present findings and recommendations to technical and non-technical stakeholders. • Manage Jira tickets from creation through completion while ensuring timely resolution. • Participate in Agile ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives. • Support business teams by delivering data-driven recommendations for product performance and customer insights. Required Qualifications • 4–6+ years of experience as a Data Analyst or in a similar analytical role. • Strong proficiency in SQL for querying, analysis, and reporting. • Experience with Trino for independent data querying and analysis. • Knowledge of database design, data modeling, and data warehousing concepts. • Experience creating dashboards and visualizations using tools such as Tableau, Apache Superset, SAP BusinessObjects, or similar BI platforms. • Python and/or Shell scripting experience is preferred. • Strong understanding of data quality principles and validation techniques. • Experience interpreting analytical results and communicating meaningful business insights. • Hands-on experience with Jira and Agile methodologies. • Excellent analytical, mathematical, and problem-solving abilities. • Ability to manage multiple priorities and work independently in a fast-paced environment. • Strong verbal and written communication skills with the ability to present findings to technical and business stakeholders. Preferred Skills • Experience working with large-scale enterprise datasets. • Familiarity with finance, sales, marketing, or business performance analytics. • Experience working with cross-functional business and engineering teams. • Ability to quickly adapt to changing priorities and evolving business requirements. Education • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Analytics, Mathematics, Statistics, or a related field. • Equivalent professional experience will also be considered.