Data Analytics
$ 20,000 a 25,000 MXN
Ciudad de México
Empleado de tiempo completo
Nivel de Inglés: Nivel Avanzado
- Develop and implement comprehensive self-service tools and strategies that allow raw data to be transformed into business insights.
- Oversee the design and delivery of business intelligence platforms to ensure they answer what happened, why it happened, what will happen and what should be done to improve the business.
- Align operational analysis processes and initiatives to be based on COPC LSS.
- Supervise data analysis provided in business reviews and support with better methods to support business monitoring and decision making.
- Lead weekly reviews with quality, reporting and LSS project leaders.
- Guide operations and reporting team for accurate data collection, processing, modelling, and analysis.
- Elaborate strategies to gather information internally and externally.
- Guide the area to allow for the easy interpretation of large volumes of data.
- Investigate and transmit historical, current, and predictive views of business trends.
- Collaborate with Data strategy team on new BIs layouts for the assigned cluster unit.
- Participate in a wide range of business decisions ranging from operational to strategic.
- Participate in the weekly cluster meeting and showcase evolution of assigned duties.
- Participate in the weekly performance one on one with DCO
- Bachelor’s degree, desirable in Engineering, Information technology or Data science.
Work Experience
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Experience managing large volumes of data for at least 2 years.
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Successfully led LSS projects for at least 1 year.
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Minimum of 5 years of Contact Center experience.
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Minimum 3 years on leading teams.
Technical Skills:
- Strong problem solving, quantitative and analytical abilities.
- Advanced Excel knowledge
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries (desired)
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
- Experience working with and creating databases and dashboards using all relevant data to inform decisions.
- Intermediate on other Microsoft Office tools, including word, teams and power point.
- Information Analysis Tools such as Minitab, SPSS or similar.
- Project management skills
- Excellent computer skills.
- Prior management experience with the ability to lead.