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1,735 jobs found
20.09.2023
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Apple Data Analyst United States, California, Cupertino
5+ years of professional experience in software development as data analyst, software engineer or technical PM. Experience planning and driving execution across disparate partner groups towards a unified goal. Strong...
Surface business insights to inform executive decision making, driving analyses from a “blank sheet of paper” to presentation. Act as an expert on our billing and revenue data, partner with...
Collaborate with members of the Analytics, Engineering, Finance, Compliance, and Insurance teams to improve the accuracy and efficiency of external reporting. Design and build scalable technical solutions to standardize and...
Own the data management workstream with a focus on data integrity, analysis and reporting. Establish data change management and audit processes and policies to ensure the integrity of people data...
Update and segment the data warehouse and SalesForce. Execute US Vehicles objective based on business needs. Querying data warehouse for insights to assist sales and account management. Detailed trends and...
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers....
5+ years of professional experience in software development as data analyst, software engineer or technical PM. Experience planning and driving execution across disparate partner groups towards a unified goal. Strong...
Data Analysts are responsible for analyzing and interpreting complex data to help inform and guide business decisions. They work with large datasets to identify patterns, trends, and insights that can be used to improve the performance of an organization. They use a variety of tools and techniques, including SQL, Excel, and statistical analysis, to extract, clean and transform data and perform data analysis.
Data Analysts work with cross-functional teams, such as product managers, marketing, and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also have experience with data visualization tools, such as Tableau and Power BI, to create interactive dashboards and reports to communicate data insights clearly and effectively. They also have to make sure the data is accurate and reliable and they have to be able to explain the data insights to non-technical stakeholders.