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Recent Experience in "Big Data" environments (Snowflake). We are seeking a Senior Data Analyst to join our team transforming business problems into actionable insights by leveraging data analytics, identifying trends to providing strategic recommendations, and collaborating with cross-functional, geographically dispersed teams to drive informed decision-making as well as optimizing business processes.
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Experience in Database Administration, Data Warehousing, Data Science, Big Data, Business Intelligence, Artificial Intelligence, Information Systems, Information Technology.
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Data and Analytics Platforms: Exposure to and experience with at least one big data platforms such as AWS, Azure, Databricks, Qubole, Snowflake, etc. Stay Updated on Industry Trends: Keep abreast of the latest developments in data science, machine learning, and marketing analytics.
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Comprehensive knowledge of the principles of software engineering and data analyticsAdvanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Knowledge of agile(scrum) development methodology is a plus Strong development/automation skillsProficient in programming in Java or Python with prior Apache Beam/Spark experience a plus.
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BS in Data Science, Machine Learning, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or in other quantitative disciplines. Experience with Python programming and data science tools (Pandas, NumPy, scikit-learn, TensorFlow, Jupyter Notebook, etc.
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Provides input based on business / data expertise for complex Data Science and Big Data Mining projects. Senior Data Analyst is expected to work with a high degree of autonomy and thought leadership.
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Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Business Analyst, Data Science to contribute to the creation of business and data analyses using technical platforms that enable case teams to efficiently manage and monitor vital information, deadlines, and documents related to their practice, clients, and matters.
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Senior Data Analyst is consulted as a strategic business partner as the expert in the data and technical capabilities of the respective systems. Senior Data Analyst responsibilities include ensuring business stakeholders have access to timely, accurate and actionable data to support their business functions.
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The Data Science Analyst is responsible for leading advanced analytics in support of the Healthcare Analytics Solutions product portfolio. In this role, the Data Science Analyst will leverage their experience preparing large datasets and applying a variety of data science methods to analyze data, develop insights, and deploy analytics services and products.
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5 years of direct experience in a related field (statistics, performance management, analytics, or research) with data modeling and architecting analytics solutions as well as ably communicating complex data in simple form.
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