Sr. Data Scientist/business Intelligence
hace 7 días
**Responsibilities**
- ** Data Analysis and Interpretation**: Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that support business decision-making.
- ** Business Intelligence Reporting**: Develop and maintain BI reports, dashboards, and visualizations that communicate key metrics and insights to stakeholders.
- ** Data Management**: Oversee the collection, storage, and maintenance of data to ensure accuracy, consistency, and security.
- ** Collaboration**: Work closely with cross-functional teams including marketing, finance, operations, and IT to understand data needs and deliver insights that drive business outcomes.
- ** Strategic Planning**: Provide data-driven recommendations and strategies to senior management to enhance business performance.
- ** Tool Development**: Develop and implement tools and frameworks to automate data collection, analysis, and reporting processes.
- ** Training and Support**: Train and support team members and stakeholders in using BI tools and interpreting data insights.
**Education/Certifications**
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (must).
- A Master's degree is preferred.
- Certifications in relevant tools and technologies (e.g., Microsoft Power BI, Tableau, SAS, Google Data Studio, etc.). desirable
- Advanced proficiency in programming languages such as Python, R, or SQL.
- Certification in machine learning or data analysis (e.g., Coursera, edX, or equivalent) is a plus. desirable
**Years of Experience**:
- Minimum of 3-5 years of experience in data science, business intelligence, or a related field.
- Proven experience in developing and managing BI 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.
**Computer Skills**:Proficiency in BI tools (**Power BI, Tableau**, etc.), database management systems (**SQL Server, MySQL**, etc.), and statistical software (**R, Python, SAS**). MUST
**Job Knowledge and Skills**:
- ** Technical Skills**: Expertise in data warehousing, ETL processes, and database management.
- ** Analytical Skills**: Strong analytical thinking and problem-solving abilities.
- ** Communication Skills**: Excellent written and verbal communication skills, with the ability to present complex data insights to non-technical stakeholders.
- ** Project Management**:Ability to manage multiple projects simultaneously and meet deadlines.
- ** Attention to Detail**: 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 (NMEX, NRFS, NRFM y ANZEN) realiza contrataciones con base al cumplimiento del perfil de puesto en la vacante, sin distinción, ni discriminación **por género, identidad y/o expresión de género, orientación sexual, **raza, color, idioma, religión, opinión política o de cualquier otra índole, origen nacional o social, posición económica, nacimiento o cualquier otra condición.**
**Nissan (NMEX, NRFS, NRFM and ANZEN) hires based on the fulfillment of the job profile in the vacancy, without distinction or discrimination based on gender, gender identity and/or expression, sexual orientation, race, color, language, religion, political or any other opinion, national or social origin, economic position, birth or any other condition.**
Mexico City Mexico
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