Project Manager (Data Analyst)

Job Summary

We are seeking an experienced Project Manager to oversee the execution of various projects within our organization. The ideal candidate will possess strong project management skills and have a proven track record of successfully managing projects from initiation to completion. Additionally, the candidate should have data analytics skills to effectively analyze project data and drive informed decision-making.

Develop comprehensive project plans, including scope, objectives, timelines, and resources allocation. Coordinate project activities, monitor progress, and ensure adherence to project timelines and budgets.

Establish and maintain relationships with key stakeholders, including Jamat, team members, and external partners. Address stakeholder concerns and ensure alignment with project goals and objectives.

• Data Cleaning and Preparation: This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
• Data Exploration and Analysis: Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.
• Data Visualization: They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance.
• Reporting: Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
• Collaboration: They often work with other departments to understand their data needs and help them make informed decisions based on data insights.

Required Skills

• Possess a solid foundation in statistics and practical experience with statistical software (such as Excel,Power Bi, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
• Exhibit analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. 
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.