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Senior Business Data Analyst United States Jobs

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Senior Business Data Analyst
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Seeking a Senior Business Data Analyst in Austin with 8+ years of IT experience. You will analyze business needs, design data workflows, and translate requirements into Epics and User Stories. This role involves creating data documentation, dashboards, and collaborating with stakeholders to drive...
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United States , Austin
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Not provided
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Dutech Systems
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Until further notice
Senior Data Business Analyst
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Seeking a Senior Data Business Analyst in Austin. This pivotal role requires 13+ years of experience analyzing data-driven business problems and designing optimized workflows. You will translate complex needs into actionable requirements, create data documentation, and design insightful dashboard...
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United States , Austin
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Not provided
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Dutech Systems
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Until further notice
Senior Business Analyst / Data Analyst – Enterprise Programs & Platforms
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Join Amgen's mission to serve patients as a Senior Business/Data Analyst. You will provide crucial financial oversight and data analysis for global Enterprise Programs & Platforms. This role requires 6+ years of experience in business analysis, data analytics, or financial management, ideally wit...
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United States
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166626.00 - 202396.00 USD / Year
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Amgen
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Until further notice
Senior Business Data Analyst jobs represent a critical and high-impact career path at the intersection of data science, business strategy, and technology. Professionals in this role act as the vital translators between raw data and actionable business intelligence, driving strategic decisions and operational improvements. Unlike purely technical data roles, a Senior Business Data Analyst deeply embeds within the business context, using data to solve complex problems, optimize processes, and uncover new opportunities for growth and efficiency. The core mission of a Senior Business Data Analyst is to ensure that an organization's data is accurate, accessible, and actionable. A typical day is highly collaborative, involving extensive interaction with stakeholders from various departments such as finance, marketing, operations, and risk management. Common responsibilities include gathering and documenting business requirements, conducting in-depth data analysis to identify trends and insights, and designing systematic solutions for data-related challenges. They are often tasked with mapping and documenting end-to-end data flows, identifying critical data elements, and establishing robust data governance frameworks, including data quality rules and reconciliation processes. A significant part of their work involves preparing detailed specifications for data transformations, aggregations, and calculations, and subsequently validating the output through rigorous testing. To excel in Senior Business Data Analyst jobs, individuals must possess a powerful blend of technical prowess and business acumen. Technical skills are foundational, with proficiency in SQL for data querying, Python or R for advanced analysis and automation, and tools like Excel for rapid prototyping being standard requirements. Experience with data visualization platforms (e.g., Tableau, Power BI) is essential for communicating findings effectively. Equally important are strong competencies in data modeling, understanding database structures, and familiarity with data management and lineage tools. On the business side, successful analysts demonstrate exceptional stakeholder management, the ability to communicate complex technical concepts to non-technical audiences, and strategic problem-solving skills. They must understand the industry they operate in, whether it's finance, healthcare, retail, or technology, to ensure their analyses are relevant and impactful. Typically, these positions require several years of progressive experience in data analysis, a proven track record of leading data initiatives, and often an advanced degree in a quantitative or business field. Ultimately, Senior Business Data Analyst jobs are for strategic thinkers who are passionate about using data as a competitive asset. They bridge the gap between potential and performance, turning vast amounts of information into a clear roadmap for business success. For organizations seeking to become truly data-driven, these professionals are indispensable architects of insight and value.

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