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Job Requirements of Data Visualization Specialist:
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Employment Type:
Full-Time
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Location:
Palo Alto, CA (Onsite)
Do you meet the requirements for this job?
Data Visualization Specialist
THIS ROLE IS HYBRID Typically 3 days on site but as many as all 5 days onsite depending on business needs;
Schedule: M-F (8-5/9-6 with 1 hour non-billable lunch) with flex depending business needs
Most Important Skills/Responsibilities:
Overview
The primary focus of this role will be to assist with a large migration of existing Tableau dashboards to Hex. This project involves rethinking and optimizing visualizations, ensuring data accuracy, and enhancing the overall user experience. The ideal candidate will possess strong technical skills in SQL and Python, an understanding of the modern data stack, and excellent communication and collaboration abilities.
Responsibilities
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Work with the lead charging analytics engineer to understand charging systems & data
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Develop data assets, tools, and dashboards that provide rich visualization, self-service, and high accuracy insights to charging partners and stakeholders
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Collaborate with *** Adventure Network partners: Go-to-Market, product management, software engineering, and business stakeholders to develop dashboard and tool requirements
Qualifications
Required
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Bachelor s degree in engineering, analytics, or equivalent practical experience, 3+ years of analytics focused experience
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Advanced proficiency in SQL and Python
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Strong proficiency developing data visualizations in Python s Plotly or similar packages
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Experience developing user-facing applications in Hex, Plotly Dash, R Shiny, or similar platforms with focus on user experience and presentation
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Extremely detail and solutions-oriented mindset
Preferred
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Advanced proficiency with Hex
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Experience with git, DBT, Databricks, AWS
-
Experience or knowledge of the energy industry, EV charging, or software systems is a huge plus.
-
Experience collaborating across multiple teams
-
Strong communicator, adapts presenting technical solutions to senior stakeholders and building relationships with technical and non-technical stakeholders
THIS ROLE IS HYBRID Typically 3 days on site but as many as all 5 days onsite depending on business needs;
Schedule: M-F (8-5/9-6 with 1 hour non-billable lunch) with flex depending business needs
Most Important Skills/Responsibilities:
Overview
The primary focus of this role will be to assist with a large migration of existing Tableau dashboards to Hex. This project involves rethinking and optimizing visualizations, ensuring data accuracy, and enhancing the overall user experience. The ideal candidate will possess strong technical skills in SQL and Python, an understanding of the modern data stack, and excellent communication and collaboration abilities.
Responsibilities
-
Work with the lead charging analytics engineer to understand charging systems & data
-
Develop data assets, tools, and dashboards that provide rich visualization, self-service, and high accuracy insights to charging partners and stakeholders
-
Collaborate with *** Adventure Network partners: Go-to-Market, product management, software engineering, and business stakeholders to develop dashboard and tool requirements
Qualifications
Required
-
Bachelor s degree in engineering, analytics, or equivalent practical experience, 3+ years of analytics focused experience
-
Advanced proficiency in SQL and Python
-
Strong proficiency developing data visualizations in Python s Plotly or similar packages
-
Experience developing user-facing applications in Hex, Plotly Dash, R Shiny, or similar platforms with focus on user experience and presentation
-
Extremely detail and solutions-oriented mindset
Preferred
-
Advanced proficiency with Hex
-
Experience with git, DBT, Databricks, AWS
-
Experience or knowledge of the energy industry, EV charging, or software systems is a huge plus.
-
Experience collaborating across multiple teams
-
Strong communicator, adapts presenting technical solutions to senior stakeholders and building relationships with technical and non-technical stakeholders
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