Data & BI Architect

The Data and BI Architect bridges business needs with technical solutions by designing comprehensive BI architectures and establishing data frameworks. With deep domain expertise in core business functions, this role translates complex data into actionable insights, partners with stakeholders to identify analytics opportunities, and collaborates with technical teams to maintain architectural integrity. This role drives the adoption of innovative technologies while ensuring proper data governance and quality standards to advance the organization's analytical capabilities. This role collaborates closely with data engineers, QA analysts, BI developers, and business stakeholders to translate raw data into meaningful insights, supporting TireHub’s 400+ users across multiple departments.

This role will report to the Business Intelligence Leader.

 The individual must exhibit the following core attributes of the TireHub commitment:

• Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships.
• Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique.
• Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end.
• Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done – and we do it fast.

Role Specifics:

·       Collaborate with business stakeholders to build an expert-level understanding of specific business areas and the metrics critical to driving performance.

·       Partners with stakeholders to translate data into meaningful insights that inform decision-making. Ability to independently search for, identify, and evaluate opportunities where advanced analytics can make positive business impacts.

·       Lead BI and analytics project delivery through collaboration with BI developers and data engineers.

·       Possesses advanced expertise in one or more core business functions (sales, finance, or operations). Leverages BI and analytical tools to uncover trends and identify exceptions to enhance operational excellence across various business units.

·       Drive adoption of new technologies and methodologies through quick proof of concepts and pilots to improve platform capabilities that achieve business objectives and support analytics needs.

·       Develop and maintain enterprise frameworks for data models, taxonomies, and metadata

·       Establish technical standards and best practices for data management and analytics

·       Collaborate closely with data engineering and business intelligence teams to ensure execution of processes align with platform architecture, frameworks, and best practices

·       Work with IT security to maintain environment and object-level security protocols for the data platform, ensuring appropriate user access while safeguarding data integrity.

·       Provide technical leadership for complex data and analytics initiatives

·       Partners closely with data engineers and other BI developers to review and refine data designs, manage metadata, and ensure data quality through standardized calculations, report labels, and balancing controls to support advanced analytics.

·       Operate within a team-based Agile/Sprint development environment, contributing to the planning and delivery of high-quality reporting and analytical solutions that meet stakeholder needs.

·       Demonstrates a commitment to learning by researching, recommending, and applying new data engineering techniques to advance the organization’s analytical capabilities.

·       Ensures individual personal adherence to TireHub policies, procedures, and guidelines.

·       Participates and maintains ongoing training requirements through in-person, virtual or computer-based learning modules as assigned.

·       Completes other tasks assigned by their supervisor or another member of Leadership, as requested.

Competencies:

• Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches that enhance performance and drive organizational success.
• Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for current and new products/services with a business-focused mindset (e.g., profit, cost savings, delivery timing) and takes decisive action to achieve a competitive advantage.
• Organizational awareness: Having and using knowledge of systems, situations, procedures, and culture inside the organization to identify potential problems and opportunities; perceiving the impact and implications of decisions on other components of the organization.
• Optimizes Work Processes: Identifies and implements the most effective and efficient processes to accomplish tasks, with a focus on continuous improvement and operational excellence.
• Collaborates: Builds strong partnerships and works collaboratively with others to achieve shared objectives and to research, experiment, and benchmark advanced analytical, data science, and ML/AI methods and technologies.
• Analytical Thinking: Leverages data, statistical methods, and ML/AI to solve complex problems and make informed decisions.
• Technical Proficiency: Demonstrates expertise in Fabric/Power BI, KNIME, Python, SQL and related tools to create impactful analytics.
• Agility and Adaptability: Thrives in an Agile environment and embraces new technologies and methodologies to stay ahead of industry trends.
• Problem-Solving: Advanced analytical and critical thinking skills to identify, diagnose, and resolve technical issues efficiently.
• Communication: Excellent communication skills to interact with team members, stakeholders, and external partners effectively. Excels at communicating technical concepts to non-technical stakeholders in simple terms.

Education/Experience:

• Bachelor’s degree in Business, Data Science, Information Systems, or related field is preferred.
• Master’s degree is a plus.
• 7-10 years’ experience in data engineering or similar roles.
• 7-10 years’ experience in a business intelligence, data analytics, or a related role developing ad-hoc analytics and communicating results to stakeholders.
• 7-10 years’ experience in Fabric/Power BI, or similar tools.
• Strong knowledge of data processing technologies (e.g., Spark, Kafka, Airflow).
• Experience with cloud platforms (AWS, Azure, Fabric) and their data services.
• Proficiency in SQL and at least one programming language (Python, Scala, Java).
• Understanding of data warehousing concepts, data lakes, and database technologies.
• Experience with ETL/ELT processes and data pipeline development.
• Demonstrated project management skills and ability to lead cross-functional initiatives.

Required Knowledge, Skills, and Abilities:

·       Advanced knowledge of modern data stack tools such transformation, data ingestion, Fabric/Snowflake/Redshift for cloud data warehousing, and similar modern tools. Demonstrated ability to evaluate and implement emerging data technologies to solve business problems.

·       Expert level proficiency of Database/Operational Business Analysis (DB/OBA) and operational business analytics, ensuring the design, management, and optimization of data models that support reporting and analytics. This includes proficiency in writing and optimizing complex SQL queries, managing large datasets, and translating business requirements into technical solutions.

·       Expertise in working closely with business stakeholders to understand their needs and translate them into technical requirements for reporting and analysis. Excels at identifying business problems, formulating hypotheses, gathering relevant data, and presenting findings in a clear, actionable format.

·       Advanced analytical critical thinking skills, with the ability to troubleshoot and resolve issues related to data inconsistencies, errors, or system performance. Proficient in identifying the root causes of issues, utilizing debugging tools and techniques, and providing prompt resolutions to ensure the accuracy and functionality of data solutions.

·       Advanced ability to translate learning into practical application, showing the capacity to deconstruct complex problems, identify innovative solutions, and implement strategic approaches that drive meaningful outcomes.

·       Ability to maintain a high level of organization, detail-orientation, and accuracy in handling responsibilities, ensuring thoroughness in task and projects.

·       Demonstrated ability to effectively manage multiple tasks and prioritize workload, adapting to changing priorities with ease.

·       Embraces intellectual curiosity and demonstrate a history of continuous self-improvement.

·       Ability to manage time effectively to meet deadlines, demonstrating a strong ability for planning and execution in a fast-paced environment.

·       Ability to work independently and lead projects from concept to implementation.

·       Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint, and Outlook).

• A valid Driver’s license with at least 2 years of driving experience required (3 years preferred; Does not include time on learner’s permits).

Working Conditions:

• This is a fast-paced and dynamic operating environment.
• Majority of time is spent sitting, constantly viewing monitors in a comfortable position with frequent opportunity to move around. There may be occasions to move or lift light articles.
• Must be able to work flexible hours to accommodate routinely critical system changes and emergency events. 

·**This role is based in our headquarters office in Dunwoody, GA and requires a strong in person presence. 

**Must be able to travel up to 10%.