What are the responsibilities and job description for the Data Analyst (onsite) position at Influx Infosys?
Data Analyst Opportunity in Tallahassee, FL We are seeking a skilled data analyst with 5-7 years of experience in data visualization, analysis, and statistical techniques. The ideal candidate will develop Qlik Sense dashboards, analyze trends, and collaborate with stakeholders to transform data into actionable insights. Strong communication skills and a commitment to working on-site in Tallahassee are required.
Description
Required:
- Availability to work 100% of the time at the Client’s site in Tallahassee, FL (required)
- Experience in data visualization and analysis (5-7 years)
- Experience in gathering and cleaning data from various sources
- Experience with statistical methods and techniques to identify patterns, trends, correlations, and anomalies
- Good analytical and problem-solving skills, with the ability to translate program requirements into technical solutions and engage effectively with stakeholders at all levels
- Good oral (presenting and public speaking) and written (documentation, briefing reports, correspondence, PowerPoint presentations, etc.) communication skills
- Ability to determine work priorities and ensure proper completion of work assignments
Preferred:
- Extensive experience with Qlik Sense
- Experience with Oracle SQL Developer, TOAD, or similar data tools
- Familiarity with environmental data
Responsibilities (include but are not limited to the following):
- Develop visually appealing, intuitive, user-friendly, and insightful Qlik Sense dashboards and reports
- Advise program areas on which visualizations and analyses would best help them achieve their goals
- Collaborate with data engineers and others to gather and clean data from various sources, ensuring data integrity and quality
- Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
- Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
- Work collaboratively with program areas to identify KPIs and develop metrics to track and measure progress toward goals
- Collaborate with data engineers and others to optimize data collection, storage, and retrieval processes
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