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Often, candidates have additional experience supporting other functions as a data analyst or in BI-, reporting-, or analytics-engineering roles. 4-6 years of performance marketing analytics Successful candidates typically have four to six years supporting product, growth, or marketing teams as a dedicated data analyst.
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The Senior Investment Data Analyst plays a crucial role in driving an integrated investment data strategy via engaging cross-functionally with data engineers to support key stakeholders across the Firm from investment research to portfolio management, investment compliance, risk, and reporting.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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The Practice Support Data Processing & Social Media Collections Analyst reports to the Practice Support ESI Processing Technology Manager and/or the Practice Support Manager, in addition to the Director of eDiscovery and Practice Technologies.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc) A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
$200,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Qualitative & Mixed Methods Analyst will work with the research team to participate in data analysis and synthesis of qualitative research, assisting with analyzing and coding qualitative data, managing the Atlas.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Research Data Analyst at UCSF Medical Center in San Francisco, CA. Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications. Preferred Qualifications Master's degree in related area Experience working with large data sets and SQL programming.
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
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Title: data analyst Company: Capital Impact Partners in San Francisco, CA
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