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Senior telecom analyst vs lead data architect

The differences between senior telecom analysts and lead data architects can be seen in a few details. Each job has different responsibilities and duties. Additionally, a lead data architect has an average salary of $112,015, which is higher than the $72,415 average annual salary of a senior telecom analyst.

The top three skills for a senior telecom analyst include avaya, voip and PBX. The most important skills for a lead data architect are analytics, data management, and java.

Senior telecom analyst vs lead data architect overview

Senior Telecom AnalystLead Data Architect
Yearly salary$72,415$112,015
Hourly rate$34.81$53.85
Growth rate5%5%
Number of jobs1,035150,424
Job satisfaction--
Most common degreeBachelor's Degree, 56%Bachelor's Degree, 57%
Average age4545
Years of experience--

Senior telecom analyst vs lead data architect salary

Senior telecom analysts and lead data architects have different pay scales, as shown below.

Senior Telecom AnalystLead Data Architect
Average salary$72,415$112,015
Salary rangeBetween $53,000 And $97,000Between $84,000 And $149,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateAlaskaCalifornia
Best paying companySalesforceMeta
Best paying industryFinanceTechnology

Differences between senior telecom analyst and lead data architect education

There are a few differences between a senior telecom analyst and a lead data architect in terms of educational background:

Senior Telecom AnalystLead Data Architect
Most common degreeBachelor's Degree, 56%Bachelor's Degree, 57%
Most common majorBusinessComputer Science
Most common collegeStanford UniversityStanford University

Senior telecom analyst vs lead data architect demographics

Here are the differences between senior telecom analysts' and lead data architects' demographics:

Senior Telecom AnalystLead Data Architect
Average age4545
Gender ratioMale, 73.7% Female, 26.3%Male, 61.3% Female, 38.7%
Race ratioBlack or African American, 10.3% Unknown, 4.5% Hispanic or Latino, 14.3% Asian, 10.2% White, 60.4% American Indian and Alaska Native, 0.3%Black or African American, 8.8% Unknown, 4.4% Hispanic or Latino, 12.8% Asian, 17.7% White, 56.0% American Indian and Alaska Native, 0.3%
LGBT Percentage7%7%

Differences between senior telecom analyst and lead data architect duties and responsibilities

Senior telecom analyst example responsibilities.

  • Lead external DNS management for all external domains to point names to IP addresses to avoid / minimize service interruption windows.
  • Manage all phases of an enterprise-wide telecommunication strategic plan, which focuse on reducing aging infrastructure and implementing new systems.
  • Develop standards for new phone system and advise on best practices for transitioning from PBX and key systems to Cisco VoIP.
  • Add, moves and changes for existing and new users on digital sets and IP sets.
  • Work with users to understand problems and opportunities, complete business and systems analysis for VOIP project.
  • Author to documentation for best practices, internal audits, and PCI/DSS compliance of IVR call recording.
  • Show more

Lead data architect example responsibilities.

  • Define and manage MDM RFP for software selection.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Perform dimensional data modeling using Erwin to support data warehouse design and ETL development.
  • Expose plan reports using HADOOP and HAWQ.
  • Map the extracted data to Java components generate.
  • Design tables that publish deep analytics and dashboard reports by processing 60MM transactions per day.
  • Show more

Senior telecom analyst vs lead data architect skills

Common senior telecom analyst skills
  • Avaya, 9%
  • VoIP, 7%
  • PBX, 6%
  • IP, 6%
  • Vendor Management, 6%
  • Telecommunication, 5%
Common lead data architect skills
  • Analytics, 14%
  • Data Management, 7%
  • Java, 5%
  • Data Governance, 5%
  • Data Quality, 5%
  • Emerging Technologies, 5%

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