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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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You have hands-on experience synthesizing insights from data using tools such as Python, DBT, BigQuery, SQL, Tableau. You have experience working with Machine Learning teams and a strong understanding of ML workflows at scale You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). , and regulations (e.g., HIPAA), is a plus· Proficiency in SQL and experience with data modeling, database design, and optimization.
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Use programming languages such as Python and SQL, as well as AWS Cloud Services, Snowflake data warehouses, and Airflow for workflow orchestration, as well as Tableau for data visualization.
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Plying your ever-expanding technical chops in SQL, Python, and as much Tableau as you can handle, you’ll become omniscient in financial operations using data science techniques.
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Deep knowledge of Microsoft Excel and PowerPoint; familiarity with data visualization (e.g., Tableau) and consolidation software (e.g., Microsoft OneStream) preferred but not required. The Senior Manager will report to the Vice President of Global Head of FP&A at Legends, and play a key role as a financial advisor working across Legends' various business verticals, create monthly financial reporting for the Board of Directors and senior management, coordinate annual budget and monthly forecast process for the entire company, and work closely with the regional and business finance leads.
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Must Have 5+ years of experience with analytics and creating metrics preferably within IT Risk Strong dashboarding skills with Tableau, high proficiency with Excel and pivot tables Must have an eye for design and able to create visually appealing presentations for leadership from large volume of data Strong communication and collaboration skills Nice to Have Strong proficiency with SQL or similar What’s in it for you.
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Strong knowledge of data management concepts, including database structure, and proficiency with Oracle SQL and other standard database query tools. Job Title: Oracle PL/ SQL Developer.
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NET, Typescript, ASP.NET, MVC, SQL Server, JS Framework, Web Api, Javascript, HTML,CSS. This position entails developing web applications using ASP.NET, MVC, TypeScript with a modern JS framework, Web Api, and SQL Server for high-volume, mission critical use.
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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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Experience and comfort with, or ability to quickly learn, Zoom, Slack, G Suite, Excel, and Tableau. Proactively identify role and team development opportunities by assessing data, Fellow and volunteer feedback, and other performance metrics and facilitate a culture of continuous learning.
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Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transforming data using SQL, NoSQL, and Python. Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL.
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Utilize programming languages/Frameworks like Java, Spring, JavaScript,HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Splunk, Test Automation Tools, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Python, C, Linux and SQL; ability to quickly access risks during market events and outages by analyzing. Python to present internally; experience working with exchange infrastructure, market data feeds and network transmissions to resolve trading issues and improve performance.
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Experience with leading Visualization tools such as Power BI, Tableau, Qlik etc. Validated experience in a business growth / sales role in data management, analytics, and AI across multiple industries especially banking and financial services.
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sql tableau jobs Title: data analyst financial in New York
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