Karachi-Based Biometric Data Analytics Specialist

Work in USA; Karachi Division; On-site; PKR 4,211,000 - 5,698,000; Full time

Job summary

Work in USA in Karachi seeks a Data Analytics Specialist to analyze large datasets, identify trends, and deliver actionable insights to drive business decisions. The role emphasizes biometric passport data analysis and robust analytics methodologies.

Responsibilities include data mining, developing algorithms, partnering with cross-functional teams, and presenting findings to stakeholders in a clear, concise manner.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics or related field.
• 3 years of data analytics experience.
• Proficient in SQL, Python or R for data manipulation, analysis and visualization.
• Experience working with biometric passport data is preferred.
• Strong analytical skills with the ability to understand complex datasets.
• Excellent communication skills with the ability to present findings to non-technical stakeholders.
• Detail-oriented with strong problem-solving skills.

Responsibilities

• Utilize advanced data mining and statistical techniques to analyze large datasets.
• Develop and maintain complex algorithms for data analysis.
• Identify trends and patterns within the data to provide actionable insights.
• Collaborate with cross-functional teams to develop strategies and solutions based on data analysis.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Continuously monitor data quality and integrity to ensure accurate analysis.

Skills

Data analysis

Data visualization

Statistical methods

Communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics or related field

Tools

SQL

Python

R

Job description

Work in USA in Karachi seeks a Data Analytics Specialist to analyze large datasets, identify trends, and deliver actionable insights to drive business decisions. The role emphasizes biometric passport data analysis and robust analytics methodologies.

Responsibilities include data mining, developing algorithms, partnering with cross-functional teams, and presenting findings to stakeholders in a clear, concise manner.