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Experience with ESG/EHG sustainability software and analytics tools, data management, processes, and controls mapping. Experience managing Scope 1, 2, and 3 corporate Greenhouse Gas (GHG) inventory data, sustainability KPI measurement, reporting, and assurance.
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Proficiency in data analysis tools such as Tableau, Excel, and Google Analytics, with experience using podcast platforms (e.g., Simplecast, Chartable, Spotify, Apple Podcast), web (GA4), email (Customer.io), and social media analytics (Instagram, Facebook, TikTok.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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The Senior Research Data Scientist will be a key member of the D^3 Data Science Team, working closely with Harvard Business School (HBS) faculty and D^3 Labs on the use and analysis of data to make advancements in social science research related to business and management, digital transformation, data science and artificial intelligence.
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The successful candidate will work closely with cross-functional teams, including Translational & Clinical Development, Nonclinical, Research, and Bioanalytical, to drive biomarker strategy and ensure the integration of biomarker data into the drug development process.
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Coordinate with other re-entry services, such as MassHealth's BH-JI Initiative, as well as other relevant resources available to clients. Work closely with the Grant Data Collector to ensure program intake and assessment requirements are happening in a timely manner.
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The candidate should have good experience in Scala programming language for data bricks development(He should have done the end to end data ingestion and data transformation in Databricks/snowflake.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with modern data warehouse and data lake solutions such as Databricks or Snowflake is highly preferred. Proven experience with large-scale data warehouse/data lake solutions such as Databricks, Snowflake, or similar platforms.
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We are seeking entry level and experienced electrical engineers and designers. Projects at a range of colleges and universities including Bates, Brown, Colby, Cornell, Dartmouth, Hamilton, Juilliard, Middlebury, New England Conservatory, NYU, Penn State, Princeton, Rice, University of Connecticut, University of Michigan, Wellesley, Williams, Yale.
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PostgreSQL, MySQL, SQL Server, Azure data factory, Azure Synapse, Logic apps, Fabric, ADLS(Azure Data Lake Storage), Azure Databricks, Azure Cosmos DB has context menu. utomate data processing workflows using Databricks, Azure Functions, or Logic Apps for real-time and batch data integration.
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The Senior Software Engineer - Master Data Management has a demonstrated track record delivering technically sound, high-quality, innovative, and fully functional software solutions that adhere to coding standards and technical design.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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The VP - Data & Reporting Infrastructure Manager is responsible for managing all aspects of applications technology for the firm including configuration, technical design, construction, and implementation of emerging technology solutions.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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At least 10 years of experience in leading, designing, and developing data lake and data integration architectures, using FAIR data set and prior experience in managing end-to-end engagements in BI using Qlik Sense and Data Science languages like R and Python; should possess knowledge of Cloud platforms like AWS suite, modern data storage layer like Snowflake, dbt, FiveTran and cloud data management applications like Immuta, Collibra and Reltio/ Veeva Network.
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data entry jobs Title: lab in Boston, MA
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