Data Scientist (Analytics) at Progressive Edge

About the Company:

• This innovative and entrepreneurial company specializes in transforming raw geospatial data into actionable business insights. With over two decades of experience, they deliver customized data solutions to clients across industries such as telecommunications, retail, transportation, healthcare, and more. Known for their commitment to innovation, they help businesses enhance operational efficiency and make data-driven decisions.
• They are expanding their data team and are looking for a motivated and skilled Data Scientist Analytics to support their growing portfolio of projects. If you are passionate about data analytics and excited by the potential of geospatial intelligence, this opportunity is for you!

Key Responsibilities:

• Analyze and interpret complex multi-stream datasets, including geospatial and behavioral data.
• Prepare, clean, and process large datasets for analysis using advanced data techniques.
• Develop and maintain interactive dashboards to visualize data insights and present findings to clients.
• Collaborate with cross-functional teams and clients to understand their needs and deliver tailored, data-driven solutions.
• Provide actionable insights and recommendations based on data analysis to support strategic decision-making.
• Continuously improve data processes, ensuring accuracy, scalability, and efficiency.

Qualifications & Skills:

• 5 years+ experience in data analytics, with a strong understanding of processing and analyzing large datasets.
• Expertise in data visualization tools (e.g., Power BI, Tableau or similar) for creating user-friendly dashboards.
• Strong Dashboarding
• Experience working with multi-stream datasets, ideally including geospatial data (not mandatory, but advantageous).
• Proficiency in using SQL, Python, or R for data preparation and analysis.
• Ability to translate complex data into clear, actionable insights for both technical and non-technical stakeholders.
• Strong client-facing skills, with the ability to present data findings and handle client queries professionally.
• Industry experience in telecommunications, retail, or transportation is a plus.