Data Mining Analyst with Visa Sponsorship & Accommodation

FamilyFirst Qatar; Multan; On-site; PKR 3,093,000 - 3,705,000; Full time

Benefits offered by this job

Accommodation

Job summary

FamilyFirst Qatar in Multan is seeking a Data Mining Analyst to join our analytics team. You will analyze large datasets to identify patterns and trends, generating actionable insights to support strategic decisions.

You will collect, clean, and model data, develop algorithms, and present findings clearly to stakeholders. Collaboration with cross-functional teams is essential to translate data into concrete business strategies.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science or related field.
• Minimum 3 years of experience as a Data Mining Analyst or similar role.
• Proficient in SQL Python or R for data manipulation and analysis.
• Experience with data mining tools such as Tableau or SAS.
• Strong analytical skills with the ability to interpret complex datasets.
• Excellent communication skills with the ability to present findings to non-technical stakeholders.

Responsibilities

• Collecting organizing and analyzing large sets of data from various sources.
• Identifying patterns trends and correlations within the data.
• Creating data models and algorithms to extract insights from the data.
• Communicating findings and insights to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams to develop strategies based on the data analysis.
• Continuously monitoring and improving the quality of data.

Skills

SQL

Python

R

Data analysis

Communication

Education

Bachelor's degree in statistics, mathematics, computer science or related field

Tools

Tableau

SAS

Job description

FamilyFirst Qatar in Multan is seeking a Data Mining Analyst to join our analytics team. You will analyze large datasets to identify patterns and trends, generating actionable insights to support strategic decisions.

You will collect, clean, and model data, develop algorithms, and present findings clearly to stakeholders. Collaboration with cross-functional teams is essential to translate data into concrete business strategies.