IT - App Development - Data Analyst

Bumper to Bumper Auto Parts-posted 22 days ago
Full-time • Entry Level
Little Rock, AR
1,001-5,000 employees
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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.

  • 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.
  • Bachelor's degree from four-year college or university, and one to three years related experience and/or training; or equivalent combination of education and experience.
  • Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
  • Ability to write reports, business correspondence, and procedure manuals.
  • Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
  • Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry.
  • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
  • Ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
  • Hands on experience with MS Access and knowledge of ODBC, JCDB, JSON, XML, linked servers, and data replication.
  • Proficiency with SSIS, SSRS, and other automation tools for ETL processing is required.
  • Demonstrable knowledge of Dashboard creation.
  • Experience with MS SQL Server Management Studio, PostGreSQL, FireBird, Unidata databases is helpful.
  • Prior exposure to multiple programming languages - Python, Java, Visual Basic, C++, C#, R is also helpful.
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