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Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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Strong proficiency in Databricks for data processing and analytics. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Growth Analytics | Ramp's Growth Analytics team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. About the Role We're looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights.
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Qualifications Bachelor’s Degree or equivalent experience in Computer Science or related fieldExperience collecting requirements and prototyping solutions in data & analytics tools such as PowerBI, Alteryx, Tableau, or similar toolsStrong working knowledge of SQL, being able to write intermediate level SQL scripts to analyze, join, and interpret data sets from a variety of SQL compliant databases.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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HR experience required, particularly in workforce planning and analytics, or in an HR area where the analysis, and interpretation of large volumes of data are combined to build compelling storylines to support key business decisions.
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Strong proficiency in Microsoft Azure and Google Stack technologies, particularly Azure Data Services, Azure Synapse Analytics, Google BigQuery, Google Cloud Dataflow, etc.
$168,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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Experience working with analytics, attribution and measurement systems such as Google Analytics, Nielsen, IRI, Millward Brown, Oracle. Strong storytelling capabilities and experience with data visualization tools such as Tableau or equivalent.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Reporting/Dashboarding tools like Google looker, Tableau, MS Power BI. Familiarity with automated ML frameworks like Vertex.ai or Element.
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Experience with SAP S4, Oracle Financials, Google software suite, Microsoft Office applications, or Tableau and other competencies such as cloud computing, data analytics, robotic process automation (RPA), and fraud investigations.
$80,000 - $97,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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