Data Visualization Analyst Senior - Buffalo, United States - Imagine Staffing Technology

Description

Job Description

Job DescriptionJob ProfileJob TitleData Visualization Analyst SeniorLocationBuffalo, NYHire TypeContingent Hourly $ $80.77Work ModelOnsiteContact Phone Contact Email Nature & Scope:Positional Overview
Are you a skilled data visualization analyst with a passion for transforming complex datasets into insightful visual narratives? Our client is seeking a talented individual to join their team and drive their data-driven decision-making processes to new heights. As a data visualization analyst with them, you'll have the opportunity to work with cutting-edge tools and technologies to create compelling visualizations that unlock hidden patterns and trends within their data. Your work will directly influence strategic decisions and enhance the understanding of key stakeholders. They value creativity, attention to detail, and a strong analytical mindset. If you're ready to showcase your expertise in data visualization and contribute to impactful projects, they invite you to apply and become part of their innovative team. Role & Responsibility:Tasks That Will Lead To Your Success

• Leverage expert Business Intelligence (BI) platform skills on one or more platforms to incorporate advanced calculations, develop more advanced data flows and assemble complex consolidated dashboards/reports for presentations.
• Apply standards, templates and themes to create uniform sets of visuals for a given audience. Use knowledge of the principles of visual perception to provide refinement to dashboards/reports, providing rich information in a dynamic and understandable way.
• Create templates for data dashboards/reports for use by data visualization team to support consistency and clarity across data visualizations.
• Implement identified best practices in navigating and publishing BI reports, providing access, managing permissions, and monitoring visualization usage by data users.
• Use knowledge of programming languages to work with data teams to query, structure and model data, as needed, for use in dashboards/reports.
• Use expert knowledge of business and technical metadata, data quality, and issue remediation to create accurate data models within BI tool(s).
• Drive business insights through the development of descriptive, diagnostic, and predictive reporting by selecting appropriate advanced visuals that identify trends and outliers.
• Mentor less experienced team members in the use of dashboard/report templates, data visualization best practices and facilitate learning opportunities.
• Work with business partners to conduct dashboard/report testing and recommend refinements.
• Understand and adhere to the Companies risk and regulatory standards, policies and controls in accordance with the company Risk Appetite. Identify risk-related issues needing escalation to management.
• Understand and adhere to the Company risk and regulatory standards, policies and controls in accordance with the company Risk Appetite. Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
• Promote an environment that supports diversity and reflects the brand.
• Maintain internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
• Complete other related duties as assigned

Skills & Experience:Qualifications That Will Help You Thrive

• Bachelor's degree and a minimum of 5 years of related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
• Tactical experience with a minimum of one data visualization tool
• Experience designing and developing advanced dashboards/reports and data visualizations
• Expert knowledge of data visualization approaches
• Experience incorporating data storytelling into visualizations
• Experience using Structured Query Language (SQL) to analyze, extract, and transform data