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Data Analytics

3 months ago

Torrance, United States Honda Full time
Job Purpose

American Honda Motor is looking for an experienced analyst to join our Business Intelligence team. As a Business Intelligence Analyst, you will provide data processing, analyses, dashboards, insights, and recommendations to improve our digital products, ecommerce, and customer marketing. With a good understanding of our data, you will partner with customer experience, marketing, and data engineering teams to instrument data and metrics that help drive informed business decisions.

Key Accountabilities

•Partner with product, marketing, and engineering teams to define methods and key indicators that measure the performance of product and marketing programs. 
•Define data infrastructure requirements for new digital products and services. Work with data engineering team to build data marts for reporting and analysis.
•Perform quantitative analysis and data mining to understand how customers uses and interact with our products and services.
•Build and maintain reports, dashboards, and presentations that provide insights in an intuitive manner to support business decisions.
•Provide ad-hoc analysis, insights, and recommendations to improve customer acquisition, engagement, and retention on Honda products and services.
•Support A/B testing to identify opportunities in product user experience.

•Manage and prioritize analytic work queue including problem formulation, data gathering and requirements specification, processing, analysis, and presentations. Build automation and analysis pipelines to provide insights at scale.
•Support the development of customer centric performance measures for all customer experience.

•Provide guidance to product and partner teams on data sources and dashboards. Ensure consistency in data use across teams.   
•Develop skillsets in reporting tools and share learnings with rest of team.

Qualifications, Experience, and Skills

Minimum Educational Qualifications
Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Engineering). Master’s degree preferred.

 

Minimum Experience        
1-3 years of industry experience in data analysis. Experience working with data lakes, relational databases, SQL, statistical analysis, or reporting applications.
1-3 years of experience developing dashboards and reports in PowerBI, Tableau, or other reporting applications and supporting tools / languages (PowerQuery, DAX, Python). 
1-3 years of relevant customer, product, or marketing analytics experience with quantitative focus. 
1-3 years of experience with data ingestion, storage, transformation, and automation using any of the following: Python, Microsoft Power Platform (Fabric, Power Automate, Sharepoint / OneDrive), AWS (S3, Lambda, Athena, Redshift, Glue) strongly preferred. 
Experience in defining data warehousing and data modelling requirements, managing analytics, and reporting data tables that supports large or multiple business units preferred.
Experience using Adobe Analytics or Google Analytics strongly preferred. 

 

Other Job-Specific Skills        
Experience leveraging data insights to influence business stakeholders and communicate complicated analysis insights to non-technical audiences.
Demonstrates clear communication and presentation skills (oral and written)
Work independently in a dynamic environment.
Strong problem-solving skills – using data in identifying and solving problems, managing stakeholder issues, create efficient analytic solutions, and present results and recommendations to influence decisions.
Self-starter with great attention to detail. Identify incorrect or suspect data. Determine root cause and work toward corrective action.  
 

Job Dimensions Decisions Expected

Define metrics and analytic methods that provides insights on user activities and experience of our digital products. Identify areas of success and exceptions.  
Prioritize work to be completed in support of enterprise goals
 

Working Conditions

Salaried, exempt desk job. Overtime, as required. 5% travel.