Data Visualizer (Qlik Sense)

ASSYST•Tallahassee, FL

2d•Remote

About The Position

We are seeking an experienced Data Visualizer to design and deliver high-quality, insightful, and user-friendly data visualizations that support data-driven decision-making across the organization. This role will partner closely with program areas, data engineers, and cross-functional teams to transform complex datasets into intuitive dashboards, actionable insights, and meaningful performance metrics using Qlik Cloud and related analytics tools.

Requirements

5–10 years of experience with Qlik Sense or Qlik Cloud , data visualization and data analysis
Experience using Alteryx for data preparation and analytics workflows.
Expert proficiency in gathering, cleaning, and preparing data from diverse data sources
Experience with Oracle SQL Developer, TOAD , or similar database and data analysis tools.
5+ years of experience working with environmental data , including environmental science, water quality, or related domains.
Strong knowledge of statistical methods and techniques to identify trends, patterns, correlations, and anomalies
Excellent analytical and problem-solving skills with the ability to translate program requirements into technical and visual solutions
Strong oral and written communication skills, including presentations, documentation, briefing reports, and stakeholder communications
Demonstrated ability to prioritize work, manage multiple tasks, and ensure timely and accurate completion of assignments

Responsibilities

Design, develop, and maintain visually compelling, intuitive, and user-friendly dashboards and reports using Qlik Cloud .
Advise program areas on the most effective visualizations and analytical approaches to support business and operational goals.
Collaborate with data engineers and stakeholders to gather, clean, and integrate data from multiple sources while ensuring data integrity and quality.
Apply statistical methods and analytical techniques to identify patterns, trends, correlations, and anomalies within datasets.
Interpret and communicate analytical results using techniques ranging from basic aggregation to advanced statistical analysis.
Partner with program areas to define KPIs , develop metrics, and track progress toward organizational objectives.
Work closely with data engineering teams to optimize data collection, storage, and retrieval processes.
Monitor data quality, identify data issues, and recommend data cleansing or enhancement solutions.
Stay current with industry trends, tools, and best practices in data visualization, analytics, and reporting.
Collaborate with cross-functional teams, including data engineers and data scientists, to address technical challenges and promote a data-driven culture.
Provide guidance and mentorship to junior staff and colleagues, fostering continuous learning, innovation, and excellence in data and analytics practices.