Business Data Analyst

Are you passionate about turning business needs into meaningful data-driven solutions? We are seeking a highly analytical and collaborative Business Data Analyst to serve as a key bridge between the teams. This role is ideal for someone who enjoys understanding business challenges, translating requirements into actionable data initiatives, and delivering insights that drive strategic decision-making.

The ideal candidate combines strong business analysis skills with hands-on data analytics experience and is comfortable working with cross-functional teams in a fast-paced, Agile environment. This individual will play a critical role in defining requirements, identifying opportunities for process improvement, supporting data initiatives, and ensuring business objectives are effectively translated into technical and analytical solutions.

• Partner with business stakeholders, product teams, and data teams to gather, analyze, and document business, functional, and data requirements.
• Act as a liaison between business users and technical teams, ensuring requirements are clearly understood, prioritized, and translated into actionable solutions.
• Analyze business processes, workflows, and data to identify inefficiencies, improvement opportunities, and data-driven recommendations.
• Collaborate with stakeholders to define KPIs, business metrics, reporting requirements, and success criteria.
• Translate business requirements into user stories, process flows, functional specifications, and acceptance criteria.
• Conduct data analysis to identify trends, patterns, anomalies, and actionable insights that support business decisions.
• Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms.
• Perform data validation, profiling, and quality analysis to ensure accuracy, consistency, and integrity of business reporting.
• Support testing, validation, and user acceptance activities to ensure solutions meet business requirements and expectations.
• Collaborate with Data Engineering, Analytics, and Technology teams to support reporting, analytics, and enterprise data initiatives.
• Identify opportunities for automation, process optimization, and continuous improvement.
• Maintain project documentation, requirements, and traceability using tools such as Jira and Confluence.
• Present findings, recommendations, and project updates to both technical and non-technical stakeholders.
• Support Agile delivery processes, including backlog refinement, sprint planning, stakeholder reviews, and requirements clarification.

• Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Analytics, or a related field.
• 5+ years of experience as a Business Analyst, Data Analyst, Business Data Analyst, or similar role.
• Strong experience gathering, documenting, and managing business, functional, and data requirements.
• Proven ability to work effectively with both business stakeholders and technical/data teams.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into business recommendations.
• Hands-on experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
• Strong SQL skills and experience working with relational databases.
• Advanced proficiency with Microsoft Excel and data analysis techniques.
• Experience creating dashboards, reports, KPIs, and performance metrics.
• Excellent communication, facilitation, presentation, and stakeholder management skills.
• Experience working in Agile, Scrum, or hybrid Agile environments.
• Proficiency with Jira, Confluence, and related collaboration tools.

• Experience working alongside Data Engineering, Business Intelligence, Data Governance, or Analytics teams.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with data warehousing, ETL/ELT processes, data modeling, and enterprise reporting solutions.
• Experience with Snowflake, Databricks, Big Query, Redshift, or similar modern data platforms.
• Proficiency in Python or other analytical programming languages.
• Experience supporting enterprise data, reporting, or digital transformation initiatives.
• Experience identifying automation opportunities and supporting AI/ML-driven business solutions.
• Background in automotive, manufacturing, supply chain, logistics, or enterprise transformation environments.

• Strong business acumen with the ability to understand complex business processes and operational challenges.
• Ability to balance business priorities with technical constraints and data considerations.
• Strong attention to detail and commitment to data quality.
• Collaborative mindset with a passion for solving business problems through data and technology.
• Ability to thrive in a fast-paced, cross-functional environment while managing multiple priorities.

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal…