This is an exciting full-time opportunity to work in a fast-paced environment with a team of passionate technologists. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. As a solution builder, you will be working to support the client's mission and goals of building an enterprise analytics platform.

 Your future duties and responsibilities:

  • Demonstrate in-depth technical capabilities with the ability to support multiple work streams and drive assimilation of new techniques and solutions.
  • Apply data and technical expertise in analysis, data mining and visualization of data using Business Intelligence tools and data development platforms.
  • Evaluate data quality using SQL and data analysis techniques that improve client-reporting capabilities.
  • Participate in team problem solving efforts and offer ideas to solve client issues.
  • Understand data needs and construct data pipelines for automating and accelerating data preparation.

 Basic Qualifications:

  • A minimum 16 years of education with a Bachelor's degree or Master's degree in Computer Science, Mathematics, Information Technology, Operations Research, Data Science or STEM related discipline is required. Both local and international degrees will be accepted and will need to verified from HEC Pakistan before final selection.
  • 1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity.
  • 1+ Years of Experience using Python, R, or other languages to build statistical models or analyse data.
  • 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong analytical problem-solving skills.
  • Experience working with various self-service business intelligence and data visualization tools such as Tableau, Power BI, OBIEE etc.
  • Experience working in an Agile based environment.
  • Strong technical and troubleshooting techniques.

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Department:
Data Science
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
A minimum 16 years of education with a Bachelor\'s degree or Master\'s degree in Computer Science, Mathematics, Information Technology, Operations Research, Data Science or STEM related discipline is required.
Career Level:
Entry Level
Minimum Experience:
1 Year
Apply Before:
Aug 17, 2020
Posting Date:
Jul 25, 2020

Pakistan Revenue Automation (Pvt) Ltd

Information Technology · 1001-1500 employees - Islamabad

Pakistan Revenue Automation (Pvt.) Ltd. (acronym – PRAL) has extensive experience of working with federal and provincial tax and revenue agencies to provide wide variety of tax and revenue collection solutions. Since its incorporation in June, 1994, PRAL has been involved in the development of wide array of tax and revenue related solutions pertaining to Income Tax, General Sales Tax, Federal Excise, Customs, Capital Value Tax, Provincial Sales Tax & Services. etc. Over more than two decades of services, PRAL has gained valuable experience of increasing efficiency and efficacy of tax and revenue agencies through use of latest Information and Communication Technologies with Business Process Improvement / Re-engineering. PRAL has also proven its expertise in the areas of software development, project management, technical advisory and consulting services, managing data centers, large databases management, network administration, software implementations, trainings and data entry services. This wide spectrum of services offered by PRAL facilitates our valued customers looking for One-Stop Shop solutions from conceptualization to post-implementation operations. The essence of PRAL’s business strategy is to develop sustainable partnerships with its customers thus acting as a catalyst in transforming and adapting its IT solutions and integrating these to the “New Wave of Technological Innovations” to meet the global requirements of tax and revenue agencies.

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