Data Visualization Engineer
Everest Technologies - Cincinnati, Ohio, United States, 45208
Work at Everest Technologies
Overview
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Overview
What You'll Do • Data Visualization & Report Development • Work with the team on building an effective and consistent UI. • Partner with Data Engineering team during design, build, and testing for certified data sets in dbt and Snowflake. • Oversee the design and development of interactive and engaging data visualizations and report using tools such as Looker, Tableau, Power BI, or custom visualization libraries. • Ensure adherence to best practices, including principles of clarity, accuracy, governance, and effectiveness. • Work closely with business stakeholders to understand requirements, develop and deliver insightful and actionable reports that provide valuable insights into key business metrics, trends, and performance indicators.
Stakeholder Engagement • Contribute to culture of storytelling through data. • Collaborate closely with cross-functional teams, including business leaders, analysts, and data scientists, to understand information needs and deliver impactful insights. • Help guide data visualization and reporting best practices. • Champion an insight-driven culture within the organization, promoting the value of data visualization and reporting in driving informed decision-making. • Drive continuous improvement and governance in the visualization and reporting space.
What We Need • Bachelor's degree in computer science, Information Systems, Data Analytics, or a related field. • Proven experience in developing and delivering within data visualization, reporting, or business intelligence. • Proficiency in Looker and LookML, in addition to other business intelligence platforms like Tableau and PowerBI. • Experience with dbt and Snowflake. • Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets. • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. • Excellent communication, with the ability to effectively convey technical concepts to non-technical audiences. • Experience with agile methodologies and project management practices.
Desired Qualifications • Knowledge of statistical analysis and data mining techniques is a plus. • Previous experience working with operations, sales, and customer service team. • Healthcare is a plus but not required.