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Proficiency in SQL, Excel, and at least one additional programming languages used for data analysis (e.g., R, Python, etc.) We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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The tech stack for this role includes front-end applications that are primarily browser-based, developed using Python/Django and ReactJS. Middle-tier and back-end use Python, C#, SQL, and Docker.
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Data work in R, Python, SQL, Excel, and PowerBI including data cleansing/manipulation, EDA, and model building. Experience with at least one coding language (SQL, R, Python, SAS, VBA, etc.
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8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and economics/statistical modeling. Understand and lead the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python.
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Data privacyBonus:Athena ExperienceQubole ExperienceSalesforce ExperienceVendor managementMain TasksPlayer-coach who will both participate and manage a team of Analysts who are developing query scripts, data cubes and insight reports on TV ad campaign performance, viewership trends and new Client Data Insight Solutions powered by Snowflake using SQL and Python.
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Python, MATLAB, R, SQL) Candidates must be able to physically work in the NYC (Manhattan) office 3 days a week and remotely from home 2 days per week. Python, MATLAB, R, SQL) Candidates must be able to physically work in the NYC (Manhattan) office 3 days a week and remotely from home 2 days per week.
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High Level of digital literacy, ability to work efficiently with MATLAB, Excel (VBA), SQL, R, Python or C. The Associate Director, Senior Quantitative Analyst is a critical member of the model validation team within the Model Risk Management (MRM) Responsibilities range in activities including risk governance and reporting, model inventory, model validation and model performance oversight.
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Must have 1 year of experience in any three of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Podium, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark.
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The ideal candidate has both trading experience with exposure to cash equities, futures, and swaps as well as technical skills in python, sql, etc. Comfortable with Python, SQL, Unix/Linux, cloud technologies.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Hands-on experience with NLP , SQL, R, Python, Spark, and building machine learning models. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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Knowledge or experience related to financial risk management, quantitative analysis, or coding (e.g., Python, SQL, R, VBA) will be a plus. Certifications related to the candidate’s coverage responsibilities are beneficial, but not required, such as CPA, CFA, Financial Risk Manager (FRM), Certified Internal Auditor (CIA), and Certified Information Systems Auditor (CISA.
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Should have a deep understanding of AWS Services (Redshift, Glue, Lambda, Athena, S3, EC2), Visual Studio, SQL Server, SSIS, Matillion; Python. AWS Glue, Lambda, Athena, Pyspark, Redshift, EMR, AWS RDB, AWS DynamoDB, AWS Glacier, Python.
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Building, Optimizing & supporting data pipelines utilizing Python, SQL & Java Script utilizing. Python Libraries Kivy, Dash, PyTorch and Poetry Tool. Devops experience specially utilizing Azure Devops for deploying Python.
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