Data Analyst Information Technology (IT) - Phoenix, AZ at Geebo

Data Analyst

PING, Inc.
, maker of PING golf equipment, is seeking a Data Analyst that will work with data engineers, report analysts, business analysts, subject matter experts, and stakeholders to find data-driven answers to critical business questions.
The candidate will have strong skills in developing dashboards, reports , and data pipelines utilizing Analytical BI Platforms.
This position requires the candidate to reside in the Phoenix Metro Area, relocation assistance will be provided.
OUR MISSION:
To be the unquestioned leader in innovation, design, service and quality while providing an enjoyable environment for employees that allows them to fulfill their potential.
WE OFFER:
Competitive benefits and compensation package Robust wellness program with cash incentives Ride Share Programs Flexible time off YOU WILL:
Provide access to business insights and intelligence through dashboards, reports, data pipelines, and data analysis.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Apply algorithms and statistical analysis tools to create intelligence from information.
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Locate and define new process improvement opportunities.
Apply verification and validation techniques to ensure the accuracy and precision of data and analysis.
Consult with stakeholders and groups throughout the organization to help answer business questions with data.
Work with data engineers to discover and integrate data from various and disparate sources and produce data sets that you will use to provide analysis.
Remain current with industry standards and technological advancements that will improve the quality of your outputs.
YOU HAVE:
Bachelor's degree in Computer Science or related field, from an accredited college or university, plus a minimum 2 years' experience as a Data Analyst; OR equivalent combination of education and experience.
Excellent attention to detail.
Experience with at least (1) programming language commonly used in data analysis (R, Python, etc.
) Proficient with data visualization principles and best practices.
Ability to expertly perform statistical analysis.
Ability to create models for analyzing what-if and predictive scenarios.
Ability to interpret trends in data and apply to concrete business outcomes.
Ability to perform complex analysis techniques (regression, clustering, etc).
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Knowledge of statistics and experience using statistical packages for analyzing datasets.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing and presenting findings.
Expert capability in written and oral communication.
PlNG is a nicotine free company.
Only non-nicotine users should apply.
No sponsorship is available for this position.
QualificationsEducationPreferredBachelors or better in Computer Science or related field.
#J-18808-Ljbffr Recommended Skills Algorithms Attention To Detail Business Process Improvement Communication Dashboard Data Collection Estimated Salary: $20 to $28 per hour based on qualifications.

Don't Be a Victim of Fraud

  • Electronic Scams
  • Home-based jobs
  • Fake Rentals
  • Bad Buyers
  • Non-Existent Merchandise
  • Secondhand Items
  • More...

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.