Prodapt
Overview
We\'re looking for a skilled
Data Analyst
with 8+ years of experience to join our team and drive data-informed decisions within our telecommunications business in Irving, Texas or Tampa, Florida. You will be responsible for turning large, complex datasets into actionable insights that improve our network performance, enhance customer experience, and optimize business operations. This role requires a blend of technical expertise, analytical thinking, and a passion for problem-solving. Responsibilities
Data Analysis & Insights: Conduct comprehensive analysis of large-scale telecom data (e.g., call detail records, network logs, customer usage patterns) to identify trends, opportunities, and risks. Visualization & Reporting: Design and build dashboards and visualizations using Tableau, Power BI, or Looker to communicate findings to stakeholders. Data Extraction & Transformation: Write complex SQL queries to extract and manipulate data from various sources, including our data warehouse. Programming & Automation: Use Python (Pandas, NumPy) to clean, transform, and analyze data, as well as automate repetitive data-related tasks. Big Data Handling: Work with large volumes of data daily, ensuring data integrity and efficiency in analysis. Geospatial Analysis: Utilize geolocation data to analyze network coverage, customer movement, and optimize cell tower placement. Cloud Environment: Leverage GCP (Google Cloud Platform) services, particularly BigQuery, for data storage and analysis. Requirements
Proven experience as a Data Analyst with 8+ years in a similar role. Strong proficiency in SQL for data extraction and manipulation. Expertise in Python for data analysis (Pandas, NumPy). Experience with data visualization and dashboarding tools (e.g., Tableau, Power BI). Demonstrated experience handling and analyzing large-volume datasets. Familiarity with big data environments and GCP services, especially BigQuery. Excellent problem-solving skills and the ability to generate meaningful insights from data. Strong communication skills with the ability to present complex findings clearly. Bachelors degree in Computer Science, Engineering or equivalent. Preferred Qualifications
Prior experience with telecom data. Experience with geolocation data and geospatial analysis. Familiarity with other GCP services like Dataflow, Cloud Storage, or Vertex AI. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr
We\'re looking for a skilled
Data Analyst
with 8+ years of experience to join our team and drive data-informed decisions within our telecommunications business in Irving, Texas or Tampa, Florida. You will be responsible for turning large, complex datasets into actionable insights that improve our network performance, enhance customer experience, and optimize business operations. This role requires a blend of technical expertise, analytical thinking, and a passion for problem-solving. Responsibilities
Data Analysis & Insights: Conduct comprehensive analysis of large-scale telecom data (e.g., call detail records, network logs, customer usage patterns) to identify trends, opportunities, and risks. Visualization & Reporting: Design and build dashboards and visualizations using Tableau, Power BI, or Looker to communicate findings to stakeholders. Data Extraction & Transformation: Write complex SQL queries to extract and manipulate data from various sources, including our data warehouse. Programming & Automation: Use Python (Pandas, NumPy) to clean, transform, and analyze data, as well as automate repetitive data-related tasks. Big Data Handling: Work with large volumes of data daily, ensuring data integrity and efficiency in analysis. Geospatial Analysis: Utilize geolocation data to analyze network coverage, customer movement, and optimize cell tower placement. Cloud Environment: Leverage GCP (Google Cloud Platform) services, particularly BigQuery, for data storage and analysis. Requirements
Proven experience as a Data Analyst with 8+ years in a similar role. Strong proficiency in SQL for data extraction and manipulation. Expertise in Python for data analysis (Pandas, NumPy). Experience with data visualization and dashboarding tools (e.g., Tableau, Power BI). Demonstrated experience handling and analyzing large-volume datasets. Familiarity with big data environments and GCP services, especially BigQuery. Excellent problem-solving skills and the ability to generate meaningful insights from data. Strong communication skills with the ability to present complex findings clearly. Bachelors degree in Computer Science, Engineering or equivalent. Preferred Qualifications
Prior experience with telecom data. Experience with geolocation data and geospatial analysis. Familiarity with other GCP services like Dataflow, Cloud Storage, or Vertex AI. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr