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Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Strong quantitative analysis and data mining skills e.g. SQL, R, Python and Excel required. Responsibilities also include in the development of effective, strong relationships with key stakeholders (Sales, Product, Marketing, Finance and Business Intelligence/IT teams.
$149,859 - $213,915 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DE analyzing, profiling, mining, extraction, and cleansing data and large-scale data warehouses using Snowflake, Postgres, Netezza, AWS, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and data structures using Oracle Business Intelligence Enterprise Edition (OBIEE), BI Publisher, and Tableau.
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As an Analytics Engineer within the Pharmacy Services Finance Business Intelligence, Automation, & Analytics organization, you’ll have the opportunity to become a trusted consultant to the CFO organization, building scalable and sustainable pipelines for massive amounts of enterprise data.
$45 - $50 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience: At least two years of experience in data analysis, data mining, data visualization, or business intelligence. Experience with the Microsoft Business Intelligence stack (Microsoft SQL Server, Power BI Desktop/Server, Power BI Report Builder/SSRS, etc.
$85,000 - $96,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will support our strategy for business intelligence solutions and reporting tools with a focus on data mining and analysis. Working as part of the Data & Analytics team, you will create standardized approaches to data mining, reporting and visualization, providing leaders with the business insights needed to make informed decisions in a fast-paced environment.
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Experience with data visualization using Tableau, Quicksight, or similar tools- Experience working directly with business stakeholders to translate between data and business needsPREFERRED QUALIFICATIONS- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
$104,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Statistics Tableau and Power BI PL/SQL and databases both SQL and NoSQL Data structures and algorithms Artificial Intelligence and Machine learning Machine learning Algorithms Decision Tree and Random Forest Algorithms Naïve Bayes and KNN Algorithm Support Vector Machine (SVM) Statistics Random variables, Zscore, Hypothesis testing, Expected Value Predictive Modeling : Different kind of Business problems and different phases of Predictive modeling and Popular Modeling Algorithms.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) building data warehouses and developing Big Data Hadoop solutions using Snowflake, Informatica, Airflow, Control-M, UNIX, Spark SQL, and Python.
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Experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
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Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.) Apply advanced quantitative methods, data mining, modeling, and analytical tools to solve complex business problems.
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Ability to use data mining and Business Intelligence tool such as SQL Server, MYSQL, Tableau, and Power BI is preferred, with preference on SQL Server and Tableau.
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May require utilizing tools beyond Excel, such as SQL, Python, R, or specialized data analysis software for in-depth analysis. Essential FunctionsData Mining / Analytics in support of market insightsConducts hypothesis-driven investigations into detailed physician-level, patient-level and transactional-level data, to gain business insights from various customer perspectives (HCPs, patients, payers) independently or in collaboration with data partners.
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Feel free to take a free 5-minute java test:- 2) Data Science/Machine learning track Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION. Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science.
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