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Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.) 3+ years of experience in data management, data engineering, data analytics, product management, or a similar background.
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3+ years combined as a solutions architect or engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company. Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Familiarization in various data collection software such as WatersEmpower, Sciex Analyst, VM ware, and Agilent Chemstation would be preferable. EDUCATION AND/OR EXPERIENCE REQUIREMENTS:An associate degree in Electrical Engineering/Technology or Analytical Chemistry is required, a bachelors within a Life Science discipline is highly preferred.
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As a Business Intelligence Analyst, you will gather and analyze data to provide valuable insights that drive strategic decision-making. Bachelor’s degree in math, engineering, statistics, data science, or a related field.
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As a Data Analyst, Marketing you'll use data to shape Client’s user growth and product adoption strategy. Work with engineering and Business Intelligence teams to identify gaps in logging data, and transform raw logs into metrics and actionable insights.
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Partner with multiple stakeholder teams to define KPIs & analytical requirementsDesign, build, and maintain complex, visually-engaging, interactive dashboards & data integrationsCreate & maintain automated data pulls (ETL) from internal and 3rd party data sourcesPerform ad-hoc analysis using analytics tools like Amplitude, Google Analytics, and Adobe AnalyticsPartner with engineering teams to design & deploy new data sources You Have.
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Essential Duties and Responsibilities: - Support data management, client reporting, process engineering, quality control, and problem resolution. Description & Requirements Maximus is seeking an Analyst - Ops Support.
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In this role you’ll get to:Use a combination of data engineering, science and analytics based skills to build business insights around the privacy experience with our process, policies and product.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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You will help implement dashboards using query builders and SQL. In addition, you will work closely with product, engineering and design to ensure to we are collecting and storing the data we need to propel the business forward.
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Reporting into the Analytics Manager of Cash App Compliance, you will partner with Product, Finance, Data Science, and Engineering. The Senior Data Analyst will join the Cash App Compliance Analytics team chartered to put data at the center of the Compliance organization.
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5+ years experience in cyber threat intelligence or related field (threat hunting; digital forensics, SOC, intrusion, or incident response analysis; reverse, security, or detection engineering; security consulting.
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6 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. 6 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C.
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We are seeking a Graduate Business Analyst comfortable with analysis of project and business-related data sets, keen to apply skills to provide insights across the business. Data entry, data proofing and review, including maintaining data integrity and system configuration; validating data integrity of information that passes between various systems.
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data engineering analyst jobs in San Francisco, CA, Us
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