Overview
Software Mind is seeking qualified candidates located in Latam to fill the role of Data Analyst
About the Role
You are a gritty problem solver and self-starter who will be a crucial interface between the Analytics team and Engineering team. On one hand you thoroughly understand the needs of the Analytics team and are able to predict future requirements. On the other hand you partner with the Data Engineers to identify vet and prioritize upstream data to fulfill and facilitate the analytics needs. Your goal is to provide capability and drive operational excellence for the analytics team while bringing efficiency to the partnership.
What You Get To Do Every Day:
Rationalize all data requests and design ideal solution.
Execute new data flow and maintain existing data flow on daily basis.
Design develop and maintain robust and efficient data pipelines/processes that can meet the data needs of various use-cases with the lowest incremental effort.
Proactively drive the vision for BI and Data Warehousing for all business lines across the company and define and execute on a plan to achieve that vision.
Evolve analytical data ecosystems to enable excellent data capabilities including big data analysis.
#LI-DNI
Qualifications :
Minimum Requirements:
2 years of analytics and data engineering experience
1 years of experience with hadoop hive spark or other big data processing systems
Expert in SQL
Proven ability to design and lead time-sensitive strategic projects involving methodology development analysis strategic recommendations and presentation of the findings
Additional Information :
Preferred Requirements:
Degree in a STEM field (engineering computer science mathematics etc.).
Experience with BI tools such as microstrategy tableau looker etc.
Experience with Unix shell scripting and python.
Database performance tuning skills.
Remote Work :
No
Employment Type :
Full-time
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities these are a few words that describe an average day for us. Building cross-functional engineering te ... View more