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Experience with or knowledge of visualization tools like Power BI, Tableau, ArcGIS, etc. In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Proficiency in Microsoft Power BI Desktop and Power BI Service, Power Query, SSIS & SSRS, DAX, and data modeling concepts are required. Experience managing and maintaining a Data Warehouse & Data Cubes Preferred Qualifications: Certifications such as Microsoft Certified Database Administrator or Microsoft Power BI certification.
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Works with BI developers, analysts, and customers (clinical/operational leaders, data scientists, quality analysts, etc.) Develops and maintains health care subject matter expertise related to specific products, data elements, business processes, data marts, and BI applications.
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Qualifications BA/BS degree in Business, Finance, or Accounting or equivalent practical experience 3 - 5 years audit or equivalent experience Current professional certification (CPA/CIA/CISA) a plus SAP and ACL/Alteryx/Tableau/Microsoft Power BI or similar data analytics tool experience preferred.
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Micro Services/Web service development experience using Spring framework Strong experience in Amazon EMR/DataBricks/Cloudera CDP Experience with Dask, Numpy, Pandas, Scikit-Learn Hands-on experience in Big Data, Cloudera Distribution 7.
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Also required are experience in quantitative analysis, modeling, and programming in Python using MySQL, PostgreSQL, and Redshift databases; experience using JIRA, BitBucket, Git, Confluence, Linux shell script, RESTAPIs∯*∯ Salesforce, SOQL, AWS services, Tableau, Power BI, and Agile methodologies.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools. You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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Knowledge of business intelligence software (i.e. Power BI, Tableau, Kibana) and web analytics tools (i.e. Google Analytics, Google Tag Manager, BigQuery) You will oversee various aspects of our data management, ranging from designing and maintaining automated data infrastructure and spearheading BI solutions to facilitating data access and analysis for key company teams.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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Required Skills: Python, VBA, SQL, Big Data Analytics, Business Intelligence, Cloud Computing, DevOps, Machine Learning, Time Series Forecasting, Customer Segmentation, Data Exploration, Data Mgmt, Data Wrangling, Data Processing, Data Manipulation, Data Scrapping, Data Mining, Exploratory Data Analysis, A/B Testing, Hypothesis Testing, ETL, Anaconda (Spyder, Jupyter), Tableau, Looker, HTML, Linux, Google (BigQuery), marketing analytics, marketing ecosystem, marketing campaign motivations.
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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
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Establishing the frameworks and guidelines for the efficient design and creation of highly informative and efficient (meta data driven) reporting dashboards, in tools like Power BI, Tableau, Qlikview, etc., based on end user requirements.
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big data science power bi jobs Company: Alten Consulting Services
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