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In this role, you will support 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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Data Visualization: Ability to create impactful data visualizations and reports using tools like Power BI or Tableau, in addition to Domo. Statistical Analysis: Strong foundation in statistical methods and models to perform predictive analytics, trend analysis, and correlation analysis.
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Data Storytelling and Visualization: Ability to effectively communicate insights and next steps through visualization tools such as PowerBI or Tableau. This involves using statistical methods, data mining techniques, and visualization tools to derive actionable insights.
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Experience with business intelligence and data visualization systems is a plus (Tableau, Power BI). This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Knowledge of data compression techniques and data visualization tools (e.g., Tableau, Power BI, Plotly) Design and implement data visualization tools and dashboards to provide insights into large datasets Data Serialization and Investigation.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus. Data Platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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5 years of experience in data, data management, reporting, business intelligence, product development 5 years of experience across the entire enterprise data center stack from the hardware to the application layer 4 years' experience on Data visualization (Tableau/PowerBI) 3 years' experience on Data modeling (SQL, Excel.
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Exploring data by using custom business tools, Excel, SQL, PowerBI, Tableau, Alteryx, or similar data visualization tool. Proficiency in advanced Excel methods (data structures, pivot tables, manipulation, transformation and visualization) is highly preferred.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) 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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Data Management Analysts (Data Management, Data Governance, Data Quality, Test Data Management, Data Architecture, Data Security, Programing (SQL, JAVA, Python, R), Data Analysis Software (e.g., Excel, SAS, SPSS), Knowledge of Database Query Language (e.g., SQL), Report Creation and Data Visualization (Tableau and R Studio) , Understanding of Statistical Methods and Techniques to Analyze Data.
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Expertise in visualization technologies like Looker, Tableau, or Qlik Sense. Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
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Basic knowledge of machine learning algorithms and data visualization tools such as Microsoft Power BI and Tableau. 3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
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As a Senior Data Engineer in the Corporate Strategy Advanced Analytics team, you will partner with others across the organization to enable access to enriched data for analysis and visualization for internal and external stakeholders.
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data visualization jobs Title: data analyst Company: Jobot
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