DATA ANALYTICS ENGINEER PUNTARENAS

Position Summary
As a member of the professional staff, contributes general knowledge and skill in a discipline area e.g. Accounting, Finance, Human Resources, Information Resources, Operations Planning Support, Sales Marketing to support team andor department objectives. Generally, works under close supervision or within wellestablished guidelines to complete routine tasks.

Specific Job Summary describe the nature and purpose of the position

Resultsdriven and detailoriented Data Analytics Engineer to help unlock the full potential of our data and drive the success of our data analytics strategy. The Data Analytics Engineer is expected to work closely and collaborate with crossfunctional teams.

The Data Analytics Engineer gathers business requirements and translates these into data requirements to help IT build robust and streamlined data pipelines. The Data Analytics Engineer provides data requirements for data ingestion, transformation, and scheduling to empower insightful business reporting and advanced analytics readiness.

In addition, the Data Analytics Engineer validates and tests the accuracy, consistency, and readiness of the data and runs analyses to ensure the data meets the business needs. Moreover, the Data Analytics Engineer builds intuitive data models and semantic layers and develops userfriendly enterprise reports.

Expected Contributions
Option 1

Performs the following types of basic tasks analysis, auditing, budgeting, forecasting, programming, research, report generation, and software integration.
Responds to, solves, and makes decisions on standardroutine business requests with limited risk.
Responsible for own work and contributing to team, department andor business results. May direct work of nonmanagement staff.
Assists more senior associates in achieving business results by
utilizing technical knowledge and skills to enhance business processes.
establishing priorities for self and, where appropriate, others.
allocating own time effectively to meet goals in a manner that does not disadvantage other associates or groups.
contributing to departmentunit budget as appropriate i.e., input, following guidelines, etc.
Demonstrates an awareness of personal strengths and areas for improvement and acts independently to improve and increase skills and knowledge.
Performs other duties as appropriate.
Specific Expected Contributions including duties and responsibilities

Helps determine and assess data integration requirements for the enterprise data warehouse and communicates these requirements to IT
Collaborates with business partners to translate reporting and advanced analytics requirements into data pipeline and modeling requirements
Creates and optimizes data models and semantic layers that facilitate seamless and selfservice data exploration and analysis
Applies data wrangling techniques to ensure data accuracy, consistency, and readiness for reporting and advanced analytics applications
Designs, develops, and maintains reports and dashboards using data visualization tools e.g. Power BI, Cognos, Tableau, Looker to help analyze complex datasets and enable actionable insights and recommendations
Identifies redundant reporting and opportunities for consolidation
Elaborates clear and straightforward technical documentation
Guides and promotes selfservice data accessibility within the organization
Candidate Profile
Option 1

Successful candidates should possess knowledge and experience and demonstrate strong leadership and relationship skills as follows

Usually, a professional position with general knowledge in a discipline i.e., Accounting, Human Resources, Information Resources. College degree andor related experience typically required.

Specific Candidate Profile the education, experience, skills, and attributes that are important for this position

Bachelors degree in Computer Science, Data and Information Systems, or a related field
Minimum 2 years of experience as a Data Analytics Engineer or similar role in a datadriven environment
Work experience translating business requirements to data requirements
Strong proficiency in programming languages such as SQL and Python
Familiarity with cloudbased data platforms e.g., AWS, Azure, Google Cloud
Solid understanding of data modeling principles and best practices
Experience with reporting and data visualization tools e.g. Power BI, Cognos, Tableau, Looker and UX fundamentals
Preferred experience working with Agile methodologies
UpperIntermediate Advanced level of English B2C1. The candidate will be expected to have advanced and indepth verbal and written discussions with English speakers on a daily basis
Strong collaborative and communications skills
Previous working experience with data pipeline orchestration tools and distributed data processing frameworks is a plus
Bolsa de trabajo Costa Rica ofrecemos puesto de Data Analytics Engineer para el sector de Informatica Telecomunicaciones en la empresa Westin México de . Salario acorde a tu experiencia y al salario medio del sector. Actualiza ahora tu currículum vitae y postúlate a este empleo. Tipo de empleo Tiempo Completo.