Connected Insights Data Analyst

About the Role

Key Responsibilities

• Data Analysis: Collects, analyzes, and interprets large volumes of data from various sources, including internal databases, market research, and external vendors. Applies statistical techniques to uncover patterns, trends, and correlations that can provide valuable insights for business operations.
• Reporting: Develops and maintains regular reports, dashboards, and visualizations to communicate key findings and performance metrics to stakeholders. Identifies and tracks relevant key performance indicators (KPIs) to measure the success of business initiatives.
• Forecasting and Predictive Modeling: Utilizes statistical modeling and forecasting techniques to predict future trends and outcomes. Collaborates with cross-functional teams to develop and refine existing models, ensuring accuracy and reliability.
• Business Intelligence: Identifies opportunities to leverage data and analytics to drive business growth and improve decision-making processes. Provides recommendations based on data insights to optimize operations, enhance customer experience, and increase revenue.
• Requirements Gathering: Collaborates with stakeholders to understand their business needs and translate them into well-defined requirements. Works closely with the IT team to ensure data availability, quality, and integration with relevant systems.
• Process Improvement: Identifies areas for process improvement and efficiency gains based on data analysis. Collaborates with teams across the organization to develop and implement best practices and data-driven strategies.
• Conducts additional analysis as needed to answer specific business questions.
• Market and Competitor Analysis: Stays updated on industry trends, market developments, and competitor activities. Conducts analysis to identify opportunities and threats, providing strategic recommendations to maintain a competitive edge.
• Reviews internal and vendor reports for accuracy and enhancement opportunities.
• Develops automated processes to streamline reporting and analysis.
• Occasionally travels to relevant conferences, Subaru field/retailer visits, and key vendors.

Requirements

• Bachelor's degree in business, economics, statistics, mathematics, or a related field required; Master's Degree preferred.
• At least 6-8 years of experience as a Data Analyst or in a similar role with a strong focus on analytics.
• Proficiency in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python).
• Experience with data visualization tools (e.g., Qlik, Tableau, Power BI, OBI) and dashboard creation.
• Familiarity with data warehousing and data modeling concepts.
• Strong analytical and problem-solving skills, with the ability to work with complex data sets and derive meaningful insights.
• Excellent communication and presentation skills to convey complex findings to non-technical stakeholders.
• Strong business acumen and understanding of key business processes.
• Ability to work independently and collaboratively within a cross-functional team environment.
• Strong attention to detail and ability to manage multiple projects simultaneously.

Nice to Have

• Previous experience with cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of machine learning algorithms and predictive modeling techniques.

Benefits & Perks

• Medical, Dental, Vision Plans
• Pension, Profit Sharing, and 401K Match Offerings
• 15 Vacation days, 5 Floating Holidays, 5 Sick days, and 9 Company Holidays
• Tuition Reimbursement Program: $15,000 yearly benefit
• Vehicle Discount Programs
• Professional growth and development opportunities
• Direct partnership with senior leadership
• Formal Mentorship Program
• LinkedIn Learning License