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A Glimpse into the Daily Routine of a Data Software Visualization Engineer. Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Writing and optimizing SQL queries and stored procedures Data collection, cleaning, transformation, and validation Database development and management Designing and maintaining data dashboards with specialized software (e.g., Power BI and Tableau) Data visualization techniques (e.g., charts, maps, and calendars) Performing basic and advanced statistical analyses of quantitative and qualitative data Using statistical analysis software (e.g., SPSS, Stata, SAS, R, etc.
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This role requires strong knowledge and understanding, preferably hands-on experience, of data management principles, reporting and visualization techniques, business process improvement, and Citizen IT tools, mainly Microsoft Power BI, as well as other tools such as SAS, Cognos, and Tableau, in designing, developing, and maintaining efficient solutions within SETF’s data environment.
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Data Visualization Strategist/Data Visual Design Strategist/ Business Intelligence (BI) Strategist. Knowledge of data visualization best practices in performance tuning and user-centric designCertifications and/or expertise with data visualization tools e.g. Tableau, Power BI, Ninjacat or other dashboarding platforms as well as advanced SQLKnowledge of cloud data solutions such as Snowflake or Redshift.
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Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques. Stay current with industry trends, tools, and technologies related to data engineering, analytics, and visualization, and recommend and implement improvements to our data infrastructure and processes.
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Create and optimize Looker data models and dashboards for reporting and visualization. This role will primarily focus on Looker and BigQuery, and the ideal candidate will have a strong background in data engineering, SQL, and data modeling.
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While it is anticipated that most of this work will be for renewable energy projects including solar, wind, transmission, substation, and battery storage projects, the successful candidate will also be able to leverage 3D tools and data to produce models and visualizations showing all manner of proposed project environments.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Experience with data visualization tools like Tableau, Superset, Power BI, or Looker. Data Visualization: Create visually compelling and easily understandable data visualizations, reports, and dashboards using tools like Tableau, Superset, Power BI, or similar.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Experience with data analysis, programming, and visualization. Bachelor's degree in a quantitative or technical field of study (e.g. Applied Mathematics-probability and statistics, formal modeling, computational social sciences, Computer Programming-programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
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Proficiency in data analysis tools and languages such as Python, R, SQL, or similar. Storytelling: Craft narratives around data insights, making data relatable and actionable for non-technical stakeholders.
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The Biotechnology Research Data Scientist within the Division of Research, Innovation and Economic Development of Tarleton exercises previous experience in whole genome and microbiome sequence to provide data analysis, data visualization, and fluency in programming languages.
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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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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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data visualization jobs Company: Dnv Gl Usa
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