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Bi Visualization Jobs in New York (NOW HIRING)

BI Data Architect

Manhattan, NY · On-site

$120 - $150/hr

Analytics & Visualization * Champion the use of Microsoft Fabric and Power BI for unified analytics, reporting, and self‑service BI. * Focus on designing, building, and managing data pipelines and ...

... visualization best practices. • Excellent analytical and problem-solving skills. • Strong ... Preferred : • Experience with other BI tools (IBM Cognos, Tableau, QlikView) is a plus. • ...

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

Media Data Visualization Leadership: * Lead the entire lifecycle (design, development, testing, and deployment) of complex Tableau dashboards, focusing on key media metrics like subscriber churn, ad ...

... visualization best practices. • Excellent analytical and problem-solving skills. • Strong ... Preferred : • Experience with other BI tools (IBM Cognos, Tableau, QlikView) is a plus. • ...

Strong expertise in BI reporting and visualization tools. * Strong SQL and data analysis skills. * Extensive experience in Pharma/Life Sciences analytics and commercial data domains. * Experience ...

... fulfill BI activities • Perform code reviews • Document reporting requests from business ... data visualization • 3+ years of experience with SQL • Proficiency in SQL to write and ...

Showing results 21-40

Bi Visualization information

What is the difference between Bi Visualization vs Data Analyst?

AspectBi VisualizationData Analyst
Required CredentialsProficiency in data visualization tools, often with certifications in BI softwareDegree in statistics, mathematics, or related field; some certifications in data analysis
Work EnvironmentTypically in business intelligence teams, focusing on creating dashboards and reportsIn various departments, analyzing data sets to inform business decisions
Employer & Industry UsageUsed across industries for reporting and decision-makingCommon in finance, healthcare, marketing, and more for data interpretation

Bi Visualization specialists focus on creating visual representations of data to help stakeholders understand insights, often using BI tools. Data Analysts analyze data sets to identify trends and support decision-making. While both roles work with data, Bi Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and analysis.

Is data visualization a good career?

Data visualization is a valuable career path within data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and proficiency with visualization software, making it a growing field with increasing demand across industries.

What cities in New York are hiring for Bi Visualization jobs?

Cities in New York with the most Bi Visualization job openings:

Full-time

Re-posted 5 days ago


Job description

Data Analysis and Modeling:
Work closely with stakeholders to understand data requirements and business objectives.
Develop and maintain data models in Power BI to support reporting and analysis needs.
Transform raw data into a structured and understandable format for visualization.
Report and Dashboard Development:
Create visually appealing and interactive reports and dashboards using Power BI.
Implement best practices in data visualization for effective communication of insights.
Ensure reports are accurate, timely, and meet the business requirements.
Data Integration:
Integrate data from various sources into Power BI for comprehensive analysis.
Collaborate with IT and data engineering teams to ensure seamless data flow.
Performance Optimization:
Optimize Power BI reports and dashboards for performance and responsiveness.
Identify and resolve issues related to data refresh and report rendering.
Collaboration and Communication:
Collaborate with business users to gather feedback and iterate on reports and dashboards.
Communicate effectively with both technical and non-technical stakeholders.
Documentation:
Document data sources, data transformations, and report logic for future reference.
Develop user guides and documentation for end-users.