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