Full Job Description
Parker's is currently seeking a Business Intelligence Analyst (BI Analyst) to join our BI & Analytics team. You will work closely with our Director of Business Intelligence and Product Development Team on a daily basis to design, build, and optimize Parker’s Business Intelligence architecture. This is a great career opportunity with room for advancement for an analytically minded individual willing to learn multiple service lines and use information to influence the decision-making process.
What this job involves
The BI Analyst will be someone who is extremely passionate about leveraging technology in order to extract and share analytics insights through creative data visualizations. He/she will be responsible for the design, development, implementation, and support of mission-critical enterprise Business Intelligence solutions such as Alteryx and Tableau. He or she will be self-motivated, results-oriented, and possess the ability to work independently. The ideal candidate will weave together disparate data, derive insights and build a compelling story that drives action. Additionally, this role will mine, analyze, and act upon data that supports several key business initiatives across the enterprise.
To Be Effective in this role you must possess the following:
Excellent written and oral communication skills
Ability to be an innovative, resourceful, and collaborative problem-solver
Possess extreme passion for using data to uncover insights and drive business performance.
A strong commitment to data governance and security.
Attention to detail to ensure the highest level of quality/rigor in reports and analyses.
The ability to identify, analyze, and resolve problems logically and systematically.
Be highly flexible, with the ability to execute well in a fast-paced, rapidly-evolving organization.
Bachelor’s degree in Computer Science, Engineering, Math, MIS, Statistics or related (Preferred)
Retail or C-Store experience a plus.
Experience in a business intelligence role is a plus.
Passion for constant and continued learning
Experience in data mining, ETL, or using databases in a business environment.
Experience using business intelligence reporting/data visualization tools, preferably Tableau.
Experience using tools such as Alteryx, or experience in writing advanced SQL, performance tuning of BI queries, data modeling, and data mining from multiple sources.
Have exposure to statistical modeling experience (Python, R, SAS, SPSS). (Preferred)