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Understanding of analytical and insight generation approaches in the biopharma industry including descriptive and predictive analytics, business intelligence and reporting, primary market research and competitive intelligence.
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Data Visualization – DOMO, Tableau Web Analytics - Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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We are seeking a skilled Business Intelligence Developer with expertise in Microsoft Power BI and Azure Data Factory to enhance our data-driven decision-making processes.
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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, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform.
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The Business Intelligence team within EDM is responsible for delivering analytics solutions that enable our stakeholders to make data driven decisions. 4+ years of data analytics in the field of Business Intelligence or Information Management.
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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You will bring a strong skillset in some of our most used tools: Snowflake, Power BI, dbt, GitLab, Python, and SQL. You’ll put these tools to good use in developing predictive models and analytics, designing and delivering information that excels in good storytelling, and generating impactful information for customers and your RQ colleagues.
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As a technical leader of our data engineering team, reporting to our Director of Business Intelligence, you'll play a pivotal role in defining the foundation crucial for various types of analysis.
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65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
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