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Data Scientist/Business Intelligence Lead
hace 2 meses
Job Summary
Nissan is seeking a highly skilled Data Scientist/Business Intelligence Lead to join our team. As a key member of our organization, you will be responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights that support business decision-making.
Key Responsibilities
- Develop and maintain Business Intelligence reports, dashboards, and visualizations that communicate key metrics and insights to stakeholders.
- Oversee the collection, storage, and maintenance of data to ensure accuracy, consistency, and security.
- Collaborate with cross-functional teams, including marketing, finance, operations, and IT, to understand data needs and deliver insights that drive business outcomes.
- Provide data-driven recommendations and strategies to senior management to enhance business performance.
- Develop and implement tools and frameworks to automate data collection, analysis, and reporting processes.
- Train and support team members and stakeholders in using Business Intelligence tools and interpreting data insights.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Master's degree preferred.
- Certifications in relevant tools and technologies, such as Microsoft Power BI, Tableau, SAS, Google Data Studio, etc.
- Advanced proficiency in programming languages, such as Python, R, or SQL.
- Certification in machine learning or data analysis, such as Coursera, edX, or equivalent.
Preferred Qualifications
- Minimum of 3-5 years of experience in data science, business intelligence, or a related field.
- Proven experience in developing and managing Business Intelligence solutions and analytical frameworks.
- Demonstrated experience in predictive modeling, data mining, and statistical analysis.
- Prior experience working in a corporate or business environment, understanding of business processes and decision-making.
Technical Skills
- Expertise in data warehousing, ETL processes, and database management.
- Strong analytical thinking and problem-solving abilities.
- Excellent written and verbal communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Strong attention to detail and a commitment to data accuracy.
Competencies
- Business acumen, understanding of business operations and the ability to align data initiatives with business goals.
- Critical thinking, ability to think critically about data and how it can be used to drive business strategies.
- Collaboration, proven ability to work collaboratively in a team environment and with cross-functional stakeholders.
- Adaptability, ability to adapt to new technologies, methodologies, and changes in the business environment.
- Ethical judgment, strong sense of ethics and responsibility in handling sensitive business data.
Nissan is an equal opportunities employer