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Position Summary: The Reporting & Data Analyst in the Fundraising Division at Brandeis University Institutional Advancement is responsible for providing advanced data analysis, reporting, and actionable insights to support the university's fundraising goals and strategic initiatives.
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The Library Technology Services (LTS) team at Harvard University is seeking an inquisitive and motivated Data Engineer to join our exciting project to build the university’s next generation Digital Preservation System.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Experience with qualitative and quantitative research (data collection, data entry, analyses, etc.) Strong methodological research and analytical skills (e.g., experience using a data analysis platform like Dedoose, SAS, STATA or R.
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The Sr. Grant Administrator will be responsible for the pre and post award management of a portfolio of grants and contracts within the Mass General, Ragon Institute of MGH, MIT and Harvard. The Sr. Grant Administrator will be responsible for the pre and post award management of a portfolio of grants and contracts within the Mass General, Ragon Institute of MGH, MIT and Harvard.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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We are currently sourcing for a Calypso Analyst to work in Westlake TX, or Boston MA. The Middle Office Operations division within Clients Fund and Investment Operations (FFIO) is looking for a forward-looking self-starter who thrives in a fast-paced environment.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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You will use tools such as GCP BigQuery, Looker Studio and Power BI to extract data and create reports for ad-hoc and routine reporting. Software Experience: Knowledge of SQL, SAS, R, Python, Tableau, GCP, and/or other programming/data query/reporting knowledge, also, intermediate to advanced skills in Microsoft Excel is required.
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Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics. Strong experience with Snowflake , BigQuery , and other data warehousing solutions.
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We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform as we reinvent drug discovery and development from the ground up.
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Understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data. Manage the Investments data lineage across all upstream and downstream systems and various data sources; oversee and dictate data flows to consumers including third-party applications and vendors (Clearwater, etc.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Title: sr data analyst Company: Hint in Watertown, MA
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