الوصف الوظيفي
Grade Level: L2 Location: Islamabad What is Intermediate Analytics Engineer – Teknosys?
We are looking for someone who has a strong analytical mindset with problem-solving aptitude.
The ideal candidate will be entrepreneurial, truthful, innovative, collaborative and customer-focused, and must demonstrate these abilities from previous experiences.
You need to have relevant experience in the Data Analytics domain and have experience with Agile methodologies.
What does Intermediate Analytics Engineer – Teknosys do?
Identify the improvement areas in Data Analytics and propose solutions to fill those gaps Build and maintain data analytics solutions to meet the analytical requirements of the company Deliver on the practice backlog, to improve standards and learning within the team Deliver on the functional backlog across the value chain, from Operations to Development to Reporting and Program Management Why Join Teknosys?
At Teknosys, you will be at the forefront of Pakistan’s digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services.
You’ll work alongside some of the brightest minds in the industry, partner with global hyperscalers & leaders, and close deals that define the future of digital in the region.
Joining us means being part of a fast-scaling, innovation-led business where your impact will directly fuel growth, customer success, and leadership.
What are we looking for and what does it require to be Intermediate Analytics Engineer – Teknosys?
Minimum 4-7 years of experience in Data Analytics domain Experience working in agile environment Hands on knowledge of Data Lake and Data Warehousing Experience working with DevOps and Automation tools Hands on knowledge of ETL/BI tools Good understanding and experience of Shell Scripting Experience writing Advance SQL Queries Experience or familiarity with any of Programming Language (Java/R/Scala/Python) Willingness to work on and deliver on External Project Engagements on (Onsite / Offshore) Models.
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
