PING
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5 Ping Data Analyst Jobs Hiring Near You

PING, Inc . is seeking a qualified candidate to fulfill the role of Test Engineer . The Test ... Strength in statistical analysis, data analytics, and experimental methods such as DOE and R&R.

PING, Inc . is seeking a qualified candidate to fulfill the role of Test Engineer . The Test ... Strength in statistical analysis, data analytics, and experimental methods such as DOE and R&R.

PING, Inc ., maker of PING golf equipment, is seeking a Credit Manager that will be responsible for ... This position plays a critical role in shaping Credit department operations through data-driven ...

PING, Inc ., maker of PING golf equipment, is seeking a Credit Manager that will be responsible for ... This position plays a critical role in shaping Credit department operations through data-driven ...

PING, Inc ., maker of PING golf equipment, is seeking a Credit Manager that will be responsible for ... This position plays a critical role in shaping Credit department operations through data-driven ...

PING Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Infographic showing various Data Analyst job openings at Ping in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Test Engineer

Test Engineer

Ping

Phoenix, AZ • On-site

Full-time

Posted 16 days ago


Job description

PING, Inc. is seeking a qualified candidate to fulfill the role of Test Engineer. The Test Engineer works within PING Engineering to develop and execute tests that verify hard goods requirements, confirm quality, and deliver data-backed evidence to guide design decisions. This role is responsible for maintaining and modernizing test methodologies to ensure they reflect current practice, produce meaningful outputs, and remain stable and statistically capable. As a service-oriented engineering partner, the Test Engineer supports internal customers through effective test methods, systems, processes, and equipment, as well as analysis that informs risk-based engineering decisions. This position requires the candidate to reside in the Phoenix Metro Area, relocation assistance will be provided.

At PING, our people are our greatest asset. By placing our people in roles that support their passions and strengths, they will thrive in their efforts to continuously deliver the best golf equipment in the world. The fundamental core value within PING Engineering is knowledge. Every team member contributes to our world-class knowledge capture system as the means by which we deliver performance driven innovation that differentiates us from our competitors and provides enhanced value to our customers.

Qualifications:

  • BS in Engineering, Physics, or a similar discipline from an accredited university. Internship, co-op, or up to 2 years of directly related experience is preferred. An advanced degree is a plus.
  • Ability to develop clear test standards and train operators in method execution.
  • Knowledge of measurement systems and metrology principles.
  • Experience with CAD tools; PTC Creo is preferred.
  • Strength in statistical analysis, data analytics, and experimental methods such as DOE and R&R.
  • Skill in software development and tools such as Python, C++, and R is preferred.
  • Working knowledge of golf-related manufacturing and assembly processes, such as casting, forging, composites, adhesives, and tool design, is preferred.
  • Excellent oral and written communication skills, including the ability to create technical documentation and present complex concepts to cross-functional audiences.
  • Demonstrated problem-solving, decision-making, and project execution skills, with the ability to manage and complete technical work effectively.

Responsibilities:

  • Serves as a key technical resource within PING Engineering to develop and execute requirements verification tests for hard goods.
  • Provides end-to-end testing support by providing technical knowledge, executing tests, and communicating results.
  • Develops, validates, and continuously improves test methods with defined inputs, outputs and objective acceptance criteria.
  • Maintains measurement system integrity and process stability using statistical analysis to ensure test processes remain in control and results are reliable.
  • Applies statistical methods to quantify precision, identify sources of bias, and improve interpretation of test data.
  • Develops CAD-based equipment/fixturing solutions and ensures their effective integration and documentation within the test environment.
  • Maintains lab readiness by supporting test scheduling, ensuring availability of required consumables, and driving equipment maintenance and calibration strategies.
  • Maintains current knowledge of relevant methods, tools, and technical developments.
  • Requires occasional domestic travel and rare international travel.

*PlNG is a nicotine free company. Only non-nicotine users should apply.

 

*PING will not provide VISA sponsorship for this role. Please do not apply for this role if at any time (now if in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT, etc.)