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3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst. Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau.
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Exceptional data visualization skills (e.g., creating compelling charts and graphs in Python/R or Excel, generating clear and readable maps in GIS, etc.) Intermediate Python or R skills (e.g., writing and editing code with little supervision, cleaning data in multiple data files, comparing variables within and between data files, etc.
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The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data.
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Python (Pandas, Numpy)Tableau, Airflow, Looker, Mode, PrefectAdditional InformationBlock takes a market-based approach to pay, and pay may vary depending on your location. Job DescriptionThe Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Experience in data-driven optimization, including familiarity with databases, data modeling, and data analysis tools and techniques (e.g., SQL, NoSQL, data warehouses, Snowflake, BigQuery, etc.
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As the Growth Marketing Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince, and develop actionable strategies that will help us allocate marketing resources to activities that yield the best results.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Lead the design and implementation of scalable and reliable data systems architecture to support the organization's data needs, including data storage, processing, and analytics.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Master’s degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or similar discipline and 10+ years of directly relevant work experience developing and managing data analytics, data science and analytics engineering products, workflows, tools and processes and 3 years of leadership experience.
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Familiarity with concepts in statistics, and tools for quantitative data analysis (e.g., Excel, JMP, R, Python). Ability to develop software scripts (e.g., Python, C#, JS, R, SQL) to handle data or control instruments is a plus.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism that supports governance on AWS and non-AWS assets.
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Snowflake / dbt / Rudderstack / Real-time Data Streaming / Python / SQL. Architect: Design, build and launch extremely efficient and reliable data pipelines (ETL) to move data across a number of platforms including third party analytics, frontend & backend systems.
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Compile and cleanse data in preparation for actuarial analyses using scripting languages such as R, SQL and Python etc. Advanced degree in statistics, math, actuarial science or related areas.
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To be appointed as a Full Specialist, the candidate must have a terminal degree (or equivalent degree) in Medical Physics, Biomedical Engineering, Electrical Engineering, or a related discipline or ten or more years of relevant experience; a background in experimental NMR/MRI techniques and research studies; and be proficient in Matlab or Python.
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Work with sales and company leadership to understand the necessary data characteristics to create a 360 degree view of our customers in Salesforce and then execute on that vision. 4+ years' of experience in Data Analytics, Business Intelligence and Reporting.
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bachelors degree python data jobs Title: data analyst analytics specialist in Oakland, CA
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