Data QA Analyst

1 month ago

Saskatoon, Canada Crestline Coach LTD. Full time

Role: Safety/Quality Data Analyst

Location: Saskatoon

Schedule: Full Time, Monday to Friday, 8:00 am – 4:30 pm

Crestline Coach is a long-established family orientated organization in Saskatoon, SK, that has grown to become North America's leading ambulance manufacturer and Canada's largest supplier of small to mid-size commercial buses for transit, paratransit, shuttle, and tour applications. With safety, innovation, and durability always at the forefront of our business, we now inspire today’s industry standards. Crestline Coach has strong values that align with our culture that demonstrate a customer centric focus, leadership, integrity, family spirit, and excellence in all we do.

We are looking for a highly analytical and detail-oriented Safety/Quality Data Analyst to join our team. If you are passionate about data analysis and driving continuous improvement, this role will provide an exciting opportunity to make a meaningful impact.

KEY RESPONSIBILITIES

As the Safety/Quality Data Analyst you will:

  1. Design and implement effective data collection methods to capture relevant safety and quality metrics.
  2. Ensure data integrity and accuracy by establishing robust data validation processes.
  3. Maintain and update databases, ensuring timely and accurate data entry.
  4. Perform comprehensive data analysis to identify trends, patterns, and anomalies in safety and quality data.
  5. Utilize statistical tools and software to analyze data and generate reports.
  6. Develop dashboards and visualizations to communicate data insights to stakeholders.
  7. Identify opportunities for process improvements based on data analysis findings.
  8. Collaborate with cross-functional teams to develop and implement improvement initiatives.
  9. Monitor the effectiveness of implemented changes and adjust strategies as needed.
  10. Prepare detailed reports and presentations on safety and quality performance.
  11. Document data collection methods, analysis procedures, and improvement initiatives.
  12. Ensure compliance with regulatory requirements and industry standards.
QUALIFICATIONS

As the Safety/Quality Data Analyst you will bring:

  1. Relevant certifications in data analysis, safety, and quality assurance (preferred).
  2. A minimum of 3 years of experience in data analysis, preferably within safety and quality domains.
  3. Proficiency in data analysis tools such as Power Platform, Power Query, SQL, Python, and M-Language.
  4. Experience with data visualization software like Power BI and Vizio.
  5. Strong analytical and problem-solving skills.
  6. Excellent communication and presentation abilities.
  7. Ability to work independently while maintaining effective working relationships as a team member.
WHY CHOOSE CRESTLINE COACH?

Crestline Coach takes pride in a strong company culture that embodies excellence, integrity, trust and innovation. To foster a strong culture, we believe in a progressive, dynamic and solution-based environment and want to prosper amongst the best and brightest in the country. Benefits of working with Crestline Coach include:

  1. A competitive salary with bonus earning potential including a recruitment referral bonus.
  2. Health benefits including dental, extended health care, long and short-term disability coverage, accident and serious illness insurance, life insurance, and a health spending account.
  3. A group registered retirement savings plan that has a 4% matching, occupational vision care, employee, and family assistance programs along with a virtual walk-in clinic that provides unlimited healthcare for you and your family.
  4. Milestone and service awards at five-year increments.
  5. Access to CUBBI, a discounted food delivery service of fresh meals from local kitchens, and Sutton Smart Perks Discounts for services and discounts from local businesses.
  6. Career path and career longevity support by approved professional development opportunities and cost reimbursement, including association memberships.
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