Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and \xe2\x80\x9cclean\xe2\x80\x9d data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Data Cleaning and Preparation
Data Exploration and Analysis
Data Visualization
Reporting
Collaboration
Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
Create best-practice reports based on data mining, analysis, and visualization
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
Work directly with managers and users to gather requirements, provide status updates, and build relationships
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
Required skills and qualifications
Proven analytics skills, including mining, evaluation, and visualization
Technical writing experience in relevant areas, including queries, reports, and presentations
Strong SQL or Excel skills, with aptitude for learning other analytics tools
Experience with database and model design and segmentation techniques
Strong programming experience with frameworks, including XML, JavaScript, and ETL
Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
Proven success in a collaborative, team-oriented environment
Job Type: Full-time Pay: \xe2\x82\xb925,000.00 - \xe2\x82\xb940,000.00 per year Schedule:
Day shift
Experience:
total work: 3 years (Required)
Work Location: In person
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