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You are a SQL expert and have experience in Python or R to perform statistical analyses. You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products.
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What we look for:5+ years of experience as a Product Manager working on platform productsExperience building runtimes or developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of usersExperience programming in Python; SQL Experience being a hands-on builder, must be comfortable using developer-facing productsPassion for designing products that simplify user experience of technically complex products.
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You are an expert in SQL and at least one of scripting languages such as R/Python. We are rapidly expanding our business to empower every individual to build their own tools, block by block.
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Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools. Expertise in Analytics tools, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python.
$246,600 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will support, maintain, and develop software using a variety of different tools including but not limited to: Python, AWS, and SQL and NoSQL databases. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong analytical skills, with demonstrated intellectual and analytical rigor (previous experience handling data analysis via Microsoft Excel, Tableau/Power BI, and/or direct querying big data via SQL, python, etc.
$173,400 - $271,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to write and tune complex SQL queriesExpert coding skills in any one of Python, Java, Scala, GolangExperience in data modeling and creating data pipeline ETL jobsExpertise in Linux administrationGood knowledge of basic networking technology and concepts: TCP/UDP, SSL, HTTP, NATBONUS POINTSExperience with ETL tools like Talend, Informatica, Pentaho, etc.
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Tech Stack: Languages/Frameworks: NodeJS, React, Typescript, Python, GraphQL, Django Database: PostgreSQL (Google Cloud SQL), Redis, Google Cloud Datastore Infrastructure/Systems: Docker, Google Kubernetes Engine, Auth0, Datadog Ready to join a passionate team and build something incredible.
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This role will also assist junior level staff in coding, so having strong skills with various programming languages such as Python, R, SAS, and/or SQL is required. A solid P&C consulting firm is seeking an ACAS with 6-10 years of experience to become their next Associate Actuary.
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Basic knowledge of SQL and prior experience with programming in one or more server-side technologies such as ASP.NET Core or scripting (Python, Shell) Must be able to perform hands-on support for a wide range of security technologies including, but not limited to: Pipeline security, DevSecOps, SIEM, IPS, Vulnerability Scanners.
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Proficient in data analysis tools and CRMs such as Salesforce and Excel (experience with SQL, R, Stata, Python, or similar also preferred but not required) Expand your knowledge of data organization and analysis with opportunities for self-guided learning and certifications in CRMs and visualization platforms (Salesforce, Looker Studio, etc.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Mixpanel is an event analytics platform for builders who need answers from their data at their fingertips—no SQL required.
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Fluency in R and Python as well as familiarity with commonly used tools and techniques in analytics (Tableau, Spark, SQL, etc.) Identifying and engaging possible co-op and experiential learning sponsors to establish relationships and define engagement.
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Ability to ship code in Java, Python and SQL. Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) Experience with ETL (Extraction, Transformation & Loading) or ELT, and architecting data systems.
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Expertise in at least a few scripting languages – Python, SQL, or Similar. Experience with a statistical scripting language is a plus (e.g., R or Python) Strong SQL skills are required.
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