Job Summary and Responsibilities:
As a Data Analyst you would be responsible for processing large data sets from their raw form into a structured format that can be used to produce insights. You will be responsible for building systems to collect, validate and prepare high quality data.
ESSENTIAL DUTIES & RESPONSIBILITIES include the following. Other duties may be assigned:
· Processing large, crowd-sourced cellular datasets
· Data analysis, designing filtering and normalization algorithms
· Generating reports (visualizations, charts, tables)
· Designing interactive maps
· Processing a variety of GIS data sources
· Mapping of RF data, designing data visualizations
· Develop ETL Pipelines for large data sets
· Working with other teams to provide analysis and insights into various data sets
Qualifications:
· Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems, or an equivalent combination of education and experience, is preferred.
· 2-4 years of experience in Data Analysis/Software Development or a related role.
· Proficiency in programming languages such as Python, JavaScript, and SQL
· Experience with Cloud infrastructure and cloud platforms like Databricks or similar.
· Understanding and experience with Distributed Computing
· Solid understanding of spatial data concepts and geospatial analysis techniques.
Key Qualities:
· Strong programming background and ability to adapt and learn new methods and languages in an ever-changing technical landscape
· Interest in RF/Wireless Telecom, some RF background is a plus but not required
· Strong communication and interpersonal skills
· Ability to communicate with stakeholders and determine project requirements
· Ability to work independently and in a team environment.
· Excellent problem-solving and analytical skills.
· Flexibility and adaptability to work with new technologies and programming languages as needed.
Specific software/Programming Literacy:
· Databricks
· Python
· SQL
· Apache Spark, PySpark
· AWS S3, Redshift
· CARTO
· Git
· Tableau
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