American Tire Distributors
Sr. Data Analyst
American Tire Distributors, Huntersville, North Carolina, United States, 28078
Are you looking for an opportunity to turn your ambition and your people skills into a rewarding career with an industry leader? Join our team at American Tire Distributors! As the nation's premier tire distributor, ATD’s coast-to-coast distribution network provides approximately 80,000 customers across the U.S. and Canada with rapid and frequent delivery of high quality tires, custom wheels and shop supplies.
Position Description
This position will be responsible for interpreting complex data sets to support strategic decision-making processes within the organization. The role involves conducting detailed data analysis, generating actionable insights, and producing comprehensive reports and visualizations. The ideal candidate will possess strong analytical skills, proficiency in statistical software and data management tools, and the ability to communicate findings effectively to both technical and non-technical stakeholders. This position requires a combination of technical expertise, critical thinking, and collaboration with cross-functional teams to drive data-driven initiatives.
Key Responsibilities
Data Collection and Management (20%): Gather, clean, and organize large data sets from various sources to ensure data integrity and accuracy.Data Analysis and Interpretation (20%): Conduct detailed statistical analyses to identify trends, patterns, and insights. Use data modeling techniques to generate actionable insights that support business decisions.Reporting and Visualization (15%): Create comprehensive reports, dashboards, and visualizations to present findings clearly and concisely. Develop and maintain automated reporting systems to streamline data dissemination.Performance Measurement (10%): Develop and implement performance metrics, KPIs, and benchmarks to track progress, evaluate performance, and drive continuous improvement.Collaboration and Communication (10%): Collaborate with cross-functional teams to understand their data needs and provide analytical support. Communicate complex analytical results to non-technical stakeholders through presentations and reports.Process Improvement (10%): Identify opportunities for process improvement and contribute ideas to streamline workflows and enhance efficiency.Quality Assurance (5%): Implement and monitor data quality checks and validation procedures. Troubleshoot data issues and work to resolve discrepancies.Technical Proficiency (5%): Utilize advanced data analysis tools and software, such as SQL, Python, R, and data visualization platforms like Tableau or Power BI. Continuously update skills and knowledge in data analysis techniques and industry best practices.Project Management (5%): Manage multiple data projects simultaneously, ensuring timely and accurate delivery of analysis and insights. Develop and document data processes and procedures to improve efficiency and accuracy.Stakeholder Management: Build and maintain strong relationships with key stakeholders, understanding their data needs and providing tailored analytical support. Present data findings and recommendations to senior leadership and executives in a clear and impactful manner.
Skills & Competencies
Proficiency in SQL for database querying and management.Advanced knowledge of programming languages such as Python or R.Experience with data visualization tools like Tableau or Power BI.Strong understanding of statistical analysis methods and techniques.Ability to interpret complex data sets and identify trends, patterns, and insights.Strong leadership skills with the ability to mentor and develop junior analysts.Ability to provide strategic insights and recommendations based on data analysis.Excellent written and verbal communication skills.Effective teamwork skills to work collaboratively with cross-functional teams.Strong organizational skills to manage multiple projects simultaneously.Willingness to stay updated with the latest trends in data analysis and related technologies.Ability to create clear and concise reports, presentations, and visualizations.Commitment to data integrity and quality.
Experience And Education
Experience:5+ years of work experience in data analysis, data engineering, or a related role.Demonstrated experience in using SQL for database querying and management.Proficiency in programming languages (Python, R) and data manipulation libraries.Hands-on experience with data visualization tools like Tableau, Power BI, or similar platforms.Significant experience in managing relationships with key stakeholders and presenting data findings to senior leadership and executives.Demonstrated experience in leading and mentoring junior analysts.Demonstrated ability to communicate complex data insights to non-technical stakeholders effectively.Education:Bachelor’s or master’s degree in computer science, analytics, business intelligence, or a related field.
Physical Demands
Physical requirements of the roleTravel: None required
Other
Certifications, licenses, etc.Other critical skills or experience
Build a challenging and rewarding career with us!
American Tire Distributors is an Equal Opportunity Employer and Drug Free Workplace
To review our Privacy Policy, click here.#J-18808-Ljbffr
Position Description
This position will be responsible for interpreting complex data sets to support strategic decision-making processes within the organization. The role involves conducting detailed data analysis, generating actionable insights, and producing comprehensive reports and visualizations. The ideal candidate will possess strong analytical skills, proficiency in statistical software and data management tools, and the ability to communicate findings effectively to both technical and non-technical stakeholders. This position requires a combination of technical expertise, critical thinking, and collaboration with cross-functional teams to drive data-driven initiatives.
Key Responsibilities
Data Collection and Management (20%): Gather, clean, and organize large data sets from various sources to ensure data integrity and accuracy.Data Analysis and Interpretation (20%): Conduct detailed statistical analyses to identify trends, patterns, and insights. Use data modeling techniques to generate actionable insights that support business decisions.Reporting and Visualization (15%): Create comprehensive reports, dashboards, and visualizations to present findings clearly and concisely. Develop and maintain automated reporting systems to streamline data dissemination.Performance Measurement (10%): Develop and implement performance metrics, KPIs, and benchmarks to track progress, evaluate performance, and drive continuous improvement.Collaboration and Communication (10%): Collaborate with cross-functional teams to understand their data needs and provide analytical support. Communicate complex analytical results to non-technical stakeholders through presentations and reports.Process Improvement (10%): Identify opportunities for process improvement and contribute ideas to streamline workflows and enhance efficiency.Quality Assurance (5%): Implement and monitor data quality checks and validation procedures. Troubleshoot data issues and work to resolve discrepancies.Technical Proficiency (5%): Utilize advanced data analysis tools and software, such as SQL, Python, R, and data visualization platforms like Tableau or Power BI. Continuously update skills and knowledge in data analysis techniques and industry best practices.Project Management (5%): Manage multiple data projects simultaneously, ensuring timely and accurate delivery of analysis and insights. Develop and document data processes and procedures to improve efficiency and accuracy.Stakeholder Management: Build and maintain strong relationships with key stakeholders, understanding their data needs and providing tailored analytical support. Present data findings and recommendations to senior leadership and executives in a clear and impactful manner.
Skills & Competencies
Proficiency in SQL for database querying and management.Advanced knowledge of programming languages such as Python or R.Experience with data visualization tools like Tableau or Power BI.Strong understanding of statistical analysis methods and techniques.Ability to interpret complex data sets and identify trends, patterns, and insights.Strong leadership skills with the ability to mentor and develop junior analysts.Ability to provide strategic insights and recommendations based on data analysis.Excellent written and verbal communication skills.Effective teamwork skills to work collaboratively with cross-functional teams.Strong organizational skills to manage multiple projects simultaneously.Willingness to stay updated with the latest trends in data analysis and related technologies.Ability to create clear and concise reports, presentations, and visualizations.Commitment to data integrity and quality.
Experience And Education
Experience:5+ years of work experience in data analysis, data engineering, or a related role.Demonstrated experience in using SQL for database querying and management.Proficiency in programming languages (Python, R) and data manipulation libraries.Hands-on experience with data visualization tools like Tableau, Power BI, or similar platforms.Significant experience in managing relationships with key stakeholders and presenting data findings to senior leadership and executives.Demonstrated experience in leading and mentoring junior analysts.Demonstrated ability to communicate complex data insights to non-technical stakeholders effectively.Education:Bachelor’s or master’s degree in computer science, analytics, business intelligence, or a related field.
Physical Demands
Physical requirements of the roleTravel: None required
Other
Certifications, licenses, etc.Other critical skills or experience
Build a challenging and rewarding career with us!
American Tire Distributors is an Equal Opportunity Employer and Drug Free Workplace
To review our Privacy Policy, click here.#J-18808-Ljbffr