Lead Data Analysis with ArcGIS Expertise at ATT
Dallas, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Jul, 25

Salary

196100.0

Posted On

30 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Security, Spatial Analysis, Geography, Microsoft Azure, Analytical Skills, Arcgis, Business Intelligence, Languages, Virtualization, Data Analysis, Data Models, Dashboards, Computer Engineering, Python, Computer Science, Power Bi, Tableau, Storage, New Concepts, Maps

Industry

Information Technology/IT

Description

THIS POSITION REQUIRES OFFICE PRESENCE OF A MINIMUM OF 5 DAYS PER WEEK AND IS ONLY LOCATED IN THE LOCATION(S) POSTED. NO RELOCATION IS OFFERED.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
Lead Data Analyst with ArcGIS Expertise
Are you passionate about leveraging the power of Geographical Information Systems (GIS) to uncover unique patterns, trends, and insights? We are seeking a highly skilled Lead Data Analyst to join our team and play an essential role in developing innovative solutions using best-in-class GIS technology. Collaborate with cross-functional teams to drive results by analyzing wireless, wireline, and customer experience data sets.

PREFERRED SKILLS:

  • 5+ years of experience with GIS and Esri technology, including creating maps, performing spatial analysis, and configuring web applications.
  • 3+ years of experience in the telecom industry.
  • Broad knowledge of ArcGIS from an IT context, including hardware, storage, security, networking, web services, virtualization, and cloud computing.
  • Ability to troubleshoot user issues related to ArcGIS application deployment.
  • Experience with geodatabases and underlying DBMS technology.
  • Knowledge of cloud computing concepts and environments, particularly Microsoft Azure.
  • Programming and scripting experience with languages such as Python and JavaScript.
  • General knowledge of data science or spatial analysis for problem-solving and uncovering patterns and trends within organizations.
  • Strong leadership and communication skills to collaborate with cross-functional teams, solve problems, implement new concepts, and deliver quick results.

Minimum Qualifications and Skills Required:

  • Education: Preferred Bachelor’s degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math; or equivalent experience.
  • Experience: Typically requires 5+ years of experience blending technical expertise, analytical skills, and effective communication abilities.
  • Data Visualization: Ability to design intuitive and interactive dashboards that visualize both geographic and non-geographic data. Experience with Power BI and/or Tableau for data visualization and business intelligence, including creating and managing reports, dashboards, and data models.

Our Lead Data Analysis with ArcGIS Expertise, earns between $130,700-$196,100 USD Annual, not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Responsibilities
  • Problem-Solving and Solution Development: Proactively craft and propose solutions that demonstrate the value of GIS by addressing critical business challenges. Clarify how GIS technology can bring business value and insights to our internal clients.
  • Client Support and Strategy Development: Work closely with clients to define and support the development of complex strategies using Esri ArcGIS technology.
  • Technical Leadership: Serve as a technical leader with deep expertise in Esri ArcGIS technology and telecom data libraries. Share knowledge and coach new team members on best practices.
  • Innovation and Adoption: Drive the adoption of new modeling and data insights within downstream organizations. Provide analysis of existing model data to determine future paths and requirements for additional AI/ML.
  • Data Analysis and Hypothesis Formulation: Interpret data, formulate hypotheses, and develop analytical approaches to drive business strategy and tooling.
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