• We are looking for Data Analyst.
  • Also follow our Linkedin page so we may shortlist you on Linkedin. 
  • Graduates from ITU, GIK, LUMS, FAST, PUCIT and UET would be given preference.
  • Data Analyst is responsible for understanding, preparing, processing and analyzing data to make the data valuable and useful for operational and/or decision making purposes.
  • Data Analytics may need to team with either Business Intelligence, Advanced Analytics and Data Governance positions to create highly useful information. 
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits. 
  • Has an understanding of current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits. 
  • Qualifications Bachelors Degree in related field, or equivalent work experience What is expected of you and others at this level Applies basic concepts, principles, and technical capabilities to perform routine tasks Works on projects of limited scope and complexity

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Experienced Professional
Minimum Experience:
2 Years
Apply Before:
Jun 02, 2018
Posting Date:
May 09, 2018

Informatisol

Information Technology · 1-10 employees - Lahore

Self-service business intelligence (BI) paves the way for many companies to extract their own analyses. Big data and the Internet of Things are other areas that will help transform the sector and provide new opportunities. Sensors and smart systems generate enormous amounts of information that we can now collate and analyse. We also have the option to analyse data in real time and make quicker and better decisions than before. New solutions also make it possible to predict the future based on what we already know. Examples of our areas of analysis: Data flow – Seamless collection, scrubbing and collation of data Self-service BI – End user extracts analyses and reports Real-time analysis – Analysis of what has happened and what is happening right now Prediction – Predict the future, based on history

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