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Sr Data Analyst

Job ID : 34677

Job Title : Sr Data Analyst

Location : Philadelphia, PA

Comapny Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $25000 - $35000  per hour

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 09-13-2023

Required Skills : Java, Python, Scala.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsibilities:

  • Analyzes data and information understanding how the data maps by identifying appropriate data sources.
  • Performs problem and opportunity identification and framing.
  • Performs data analysis and validation assisting in standard operating procedures.
  • Discovers source data that causes problems downstream and uncovers patterns by exploring data.
  • Develops reports and dashboards of moderate complexity and translates data to provide meaningful insights.
  • Identifies, analyzes, and devises solutions to business and technical problems using information assets.
  • Creates reports answering non-standard end-user questions.
  • Recommends opportunities to improve processes.
  • Automates delivery of standard reports.

 Qualifications:

  • Attention to detail experience demonstrating proven analytical and technical acumen.
  • 3-6 years in data analysis, information analysis, or similar field.
  • One to two years experience with analytics tools (such as SAS, Tableau, and PowerBI).
  • Knowledge of database programs and spreadsheets, technical data queries, and reporting tools.
  • Knowledge of data extrapolation, interpretation, and chart compilation.
  • Knowledge of SAP data.
  • Experience with financial and operational data within projects.

Key Skills:

  • Advanced knowledge of data analytics, cleaning and preparation.
  • Proficiency with data modeling and data analysis tools.
  • Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
  • Experience with statistical and mathematical analysis

Company Details :

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