Job Description: Role Responsibilities Develop and maintain accurate project documentation, process maps, user manuals, and policy and procedure documents.Document data requirements, data strategy, and data rules (standardization, cleanse and validation).Develop and maintain data dictionaries and meta data including data definitions.Promote data accuracy and adherence to enterprise defined governance practices.Perform data validation and data cleaning as necessary.Understanding of multiple Data provider platforms / applications.Collaborate closely with business owners across functions, fully immerse yourself in data, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations.(Senior) Analytics Engineer Requirements A minimum of 8+ years in the Data space as an analyst, engineer, scientist or equivalent.5+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (GCP, BigQuery, BigTable preferred).At least 2+ years building reports and dashboards in a Data Visualization tool (preferably Looker BI).
Additional experience using Tableau, PowerBI, etc is a plus.Demonstrated experience leading 4 or more analytics projects from beginning to operationalization.Demonstrated experience designing and socializing E/R diagrams and reference SQL Scripts to scale data acumen and adoption.Experience working with multiple commercial data warehouses, ETL tools and data visualization tools.Extensive experience in 2 or more data subject areas, like finance, sales, marketing, people, product, etc.Experience with data access and security techniques, both inside and outside of a data warehouse.Experience creating data pipelines in support of near real-time event stream processing.Continuously reviews current data modeling principles and initiates any improvements to enable the implementation of the intended architecture.Create an inventory of the data and tools needed to implement a scalable data architecture.Must Have Requirements: All applicants should come with the following:Possess a 4-year undergraduate and/or postgraduate degree in Data Science and Engineering, Computer Science, Computational Mathematics, Applied Statistics, etc.Ability to communicate (spoken & written) fluently in Portuguese and English.Excellent and unblemished career record.Good character and personality and interpersonal skills.Immediate joiners preferred, or those with a short notice period (max 30 calendar days).Willing to work in a hybrid environment from Sao Paulo, Brazil (3 days office and 2 days remote).Barueri - SP.
hybrid
R$15.000,000 - R$20.000,00 - PJ.
#J-18808-Ljbffr