Data Analyst in Philadelphia, PA

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  Job Description

Data Analyst - for West Chester, PA

 

Please look for someone with telecom experience


This is an onsite role with minimum 4 days in office, and work directly under the senior leadership.

 

Responsibilities:

  • Data collection from various sources, clean & validate the data
  • Analyze the data for the patterns & any anomalies
  • Use predictive models & techniques for insights
  • Create dashboards/reports

 

Experience:

  • 6 plus years of IT experience in Data Analyst/Data Scientist roles
  • 5+ years of experience in data analytics or a related field, with a substantial portion in the telecommunications industry.
  • Hands-on familiarity with telecom BSS/OSS systems and data – you understand telecom sales processes, order fulfillment flows, billing cycles, and possibly network service provisioning.
  • Business Knowledge of Telecom eCommerce Omni channel (OSS/BSS)
  • Hands on experience in SQL, Python, Databricks
  • Hands-on experience in Data Visualization Tools – Tableau (preferred) or Power BI.
  • Hands-on experience in Data Analytics, AL/ML – LLM and do predictive analysis
  • Familiarity with ETL, Data pipelines
  • Strong analytical and problem solving skills
  • Experience with cloud platform – AWS/Azure/Google
  • Able to work with less or no guidance


Must Have Skills

  • Skill 1 – 7 Yrs of Exp – Data Analyst/Data Scientist
  • Skill 2 – 7 Yrs of Exp – SQL, Python, Databricks
  • Skill 3 – 5Yrs of Exp – Data Visualization Tools – Tableau (preferred) or Power BI.
  • Skill 4 – 5 Yrs of exp - Data Analytics, AL/ML – LLM a

 

Mandatory if Applicable

  • Domain Experience (If any ) –Telecom eCommerce Omni channel (OSS/BSS)
  • Must have Certifications – NA
  • Prior Client experience – Y/N Yes
  • If Yes – provide dates, details of account/project
  • –West Chester, PA minimum 4 days in office
  • Onsite Requirement - NA
  • Number of days onsite NA
  • If Onsite West Chester, PA minimum 4 days in office

 

 

Education:

  • A Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Engineering, or Business).
  • Equivalent hands-on experience and certifications in analytics/AI are also considered.


About Rangam:

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