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. 

 

Essential Duties and Responsibilities include the following.

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.

Supervisory Responsibilities

This job has no supervisory responsibilities.

 

Competencies

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

Analytical - Synthesiz...