8-11 Years
    Not disclosed by recruiter
    Riyadh, Saudi Arabia,

       Openings : 6

Job Description

The analyst will be required to work on Telecom domain and provide the client with the accurate information on a weekly/ monthly basis. The analyst should use pro-active data gathering tools like Machine Learning, Data Modelling, R, Python, SQL, Spark etc. to drive syndicated research projects.

Job Responsiblities

Engages with team members, business analysts, data scientists to understand data needs for the project, come up with data model, produce technical designs to develop ETL solutions/data replication requirements
Identify, analyse, and interpret trends or patterns in complex data sets. Ability to perform exploratory data analysis is a must
Ability to code using Python/R for exploratory data analysis needs as well as data acquisition needs
Perform required data extraction, clean-up and transformation to produce customized data extracts
Experience managing and analysing KPIís for a customer facing organization
Develop descriptive statistics based forecasting models
Prepare and present compelling presentation of generated insights
Provide opportunity leads to sales in order to maximize business value of Client solutions (Digital Office ) to the customer
Understand customerís commercial and operational challenges and apply this insights to analytics
Industry:
IT/Software
Job Type:
Contractual

Qualification Criteria

Bachelorís degree in administration, management or any related field from an accredited institution is preferred
Telecom experience is must
Experience with or advanced courses on data science and machine learning
Experience developing Big Data/Hadoop applications using Scala, Spark, Hive is a huge plus

Key Skills

Strong telecom background on IP Data Networks and protocols, CDMA, UMTS, LTE Wireless Data Network architecture Software coding experience in scripting languages like Unix Shell, R, Python to extract and manipulate data Comfortable performing analytics on business intelligence tools like R, Python, and Tableau Strong data manipulation skills using SQL and big data concepts Willingness to travel to customer premises Ability to work with both technical and management layers in customers