Junior Data Analyst: Build Pipelines & Insights

Danescor Limited; Pakistan; On-site; PKR 334,800 - 446,400; Full time

Job summary

A growing technology firm is seeking an enthusiastic Entry-Level Data Analyst to support data management and analysis efforts. In this role, you will collaborate with Data Engineers and Data Scientists to transform raw data into actionable insights. Ideal candidates should hold a relevant bachelor's degree and have a strong foundation in data mining, statistical analysis, and proficiency in Python and SQL. Join us to gain hands-on experience in a fast-paced, data-driven environment.

Qualifications

• Bachelor’s degree in a relevant field.
• Strong foundation in data mining and statistical analysis.
• Proficiency in Python and SQL for data manipulation.
• Intermediate knowledge of relational databases.
• Strong communication and organizational skills.
• Ability to present technical information clearly.

Responsibilities

• Support data management and analysis for teams.
• Recommend process improvements for data delivery.
• Collaborate with business partners for project updates.
• Work with engineers and scientists for solutions.
• Identify opportunities for data pipeline automation.
• Document workflows and ensure data quality.

Skills

Data mining

Statistical analysis

Problem-solving

Communication skills

Organizational skills

Analytical skills

Education

Bachelor’s degree in Data Science or related field

Tools

Python (NumPy, Pandas)

SQL

Microsoft Office Suite (Excel, PowerPoint, Word)

Airflow

Linux or shell scripting

Job description

A growing technology firm is seeking an enthusiastic Entry-Level Data Analyst to support data management and analysis efforts. In this role, you will collaborate with Data Engineers and Data Scientists to transform raw data into actionable insights. Ideal candidates should hold a relevant bachelor's degree and have a strong foundation in data mining, statistical analysis, and proficiency in Python and SQL. Join us to gain hands-on experience in a fast-paced, data-driven environment.