IT - App Development - Data Analyst

The Data Analyst role is to build data and reporting solutions, with a focus on SQL coding and dashboard building. An ideal candidate will be skilled in database creation and administration, ETL processes, be a strong cross-functional communicator and collaborator, and have raw analytical skills. The Data Analyst is a key contributor supporting many departments and applications. The support of this complex organization provides for a tremendous amount of challenge and variety.

This job is responsible for collecting, examining, and identifying data patterns and trends that help drive actionable business insights and decision-making. This position will use a variety of development languages and environments to perform their daily duties.

Other duties may be assigned.

• Collecting and managing data, including exploratory data analysis (EDA).
• Identifying trends and patterns in complex datasets.
• Presenting findings in an easy-to-understand way to inform data-driven decisions.
• Ability to produce dashboards, including graphs, tables, and other visualizations.
• Manage analytics projects from start to finish (data integration, analysis, reporting).
• Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data.
• Design machine learning systems and self-running AI software to automate the construction of predictive models.
• Document machine learning processes.
• Keep up to date with modern approaches in machine learning.
• Actively working to identify improvements to internal processes, to improve conversions, revenue, ROI (or other relevant metrics).
• Identify data science tool needs and build out tools to enable team as a whole.
• Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining applications with existing systems.
• Provide and apply quality assurance best practices for data mining/analysis services across the organization.
• Develop, implement, and maintain change control and testing processes for modifications to data models.
• Monitor data mining system details within the database, including stored procedures and execution time, and implement efficiency improvements.
• Respond to and resolve data mining performance issues.
• Develop, code, install, test, debug, and document processes using appropriate editors.
• Diagnose, troubleshoot, and document problems with existing ETL processes
• On the whole, operates in a rapidly changing environment with a sense of urgency with a high level of intellectual curiosity and comfort with ambiguity.

This job has no supervisory responsibilities.

To perform the job successfully, an individual should demonstrate the following competencies:

• Analytical - Synthesizes complex or diverse information; collects and researches data.
• Continuous Learning - Pursues training and development opportunities; strives to continuously build knowledge and skills; shares expertise with others.
• Job Knowledge - Competent in required job skills and knowledge; exhibits ability to learn and apply new skills; keeps abreast of current developments.
• Use of Technology - Demonstrates required skills; adapts to new technologies; troubleshoots technological problems; uses technology to increase productivity; keeps technical skills up to date.
• Machine Learning/AI - Competent in Machine Learning and AI concepts; skilled in predictive data mining; will serve as Subject Matter Expert for department in these areas.
• Problem Solving - Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully; works well in group problem solving situations.
• Communications - Expresses ideas and thoughts verbally; expresses ideas and thoughts in written form.
• Cooperation - Offers assistance and support to co-workers; works cooperatively in group situations.
• Customer Service - Responds promptly to customer needs; solicits customer feedback to improve service; responds to requests for service and assistance; meets commitments.
• Planning/Organizing - Prioritizes and plans work activities; uses time efficiently.
• Quantity - Meets productivity standards;…