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We are looking for a Big Data Analyst for a big multinational mexican company.
Hybrid work
We are looking for…
-Professionals in computer sciences, software engineering, and systems engineering.
-Experience: Software development, data science, and big data.
-Abilities: Systematic thinking, organization, client orientation, and transformation.
-Proficiency with programs such as: Tableu, Jupyter, SQL Server, PowerBI, Quick View, Azure, Python, PySpark, SQL, Scala.
Your responsabilities…
-Design, Develop, and Analyze: KPIs and metrics for accurate program measurement, using multivariable statistical models, machine learning techniques, and control group definition for basic machines, punch cards, BPOs, and boosters.
-Create and develop client-facing dashboards and analytics that enable strategic decision-making through proper data flow and analysis.
-Develop and implement program tables that allow for the taking of business decisions based on consumer analysis, using visualization tools and large data sets.
-Develop and analyze business cases and projects for the leadership program in order to ensure its long-term viability and strategic decision-making through data management and analysis.
-Design, Develop, and Propose: Segmentation of rewards and BPOs by client and store segments in order to increase the frequency of visits (traffic) through descriptive and predictive analytics.
-Develop and analyze error frequency metrics to assess client participation in the program and provide data for the rewards catalog.
Why is this great for you?
-Benefits above law
-Competitive salary
Nice to have:
-Determination of metrics and measurement methods for a specific program or campaign
-A list of data exploration tools has been compiled.
-Determine the merchandising and customer segmentation methodology.
-Assist in the development of data generation.
Este reclutamiento es 100% libre de sesgos, todas las decisiones son basadas en tu experiencia y conocimientos, tú eres la persona más importante para nosotros y te acompañaremos en todo momento. Tip: todos nuestros clientes buscan personas felices.