Entry Level Data Analyst - Contract Position (Gujrat, India)

Horizon Financial Services; Gujrat; On-site; PKR 3,151,000 - 4,264,000; Full time

Job summary

Horizon Financial Services in Gujrat, Pakistan invites applications for an Entry Level Data Analyst on a contract basis. You will analyze large datasets, create reports and visualizations, and provide insights to support decision making.

Ideal candidates hold a Bachelor's in statistics, math, or CS, with strong analytics and SQL/Excel/Tableau skills. This entry-level role values accuracy, communication, and independent collaboration.

Qualifications

• Bachelor's degree in statistics, mathematics or computer science.
• Strong analytical skills with the ability to interpret complex datasets.
• Proficiency in SQL, Excel, and Tableau (or other data visualization tools).
• Knowledge of regression, clustering and other statistical techniques.
• Excellent communication skills to present findings clearly.
• Detail-oriented with strong organizational skills.
• Ability to work independently and with a team.

Responsibilities

• Analyze large datasets using statistical methods and data visualization tools.
• Identify patterns and trends in the data to provide insights.
• Prepare reports and visualizations to present findings.
• Collaborate with team members to develop solutions for data-related problems.
• Continuously monitor data quality and identify issues.
• Communicate findings and insights to stakeholders.
• Stay updated on industry trends in data analytics.

Skills

Analytical skills

Communication skills

Detail-oriented

Independent work

Team collaboration

Education

Bachelor's degree in statistics, mathematics or computer science

Tools

SQL

Excel

Tableau

Job description

Data-analytics vacancy in Gujrat Pakistan

Entry Level Data Analyst - Contract Position (Gujrat, India)

We are seeking a highly motivated and detail-oriented Entry Level Data Analyst to join our team in Gujrat, India. As an entry level data analyst, you will be responsible for analyzing large datasets to identify patterns and trends, preparing reports and visualizations, and providing insights to support decision making. This is a contract position without experience required, making it a great opportunity for recent graduates or those looking to enter the field of data analytics. This position includes a competitive salary of $1200 per month with free visa and ticket provided. Women are encouraged to apply.

Responsibilities:

• Analyze large datasets using statistical methods and data visualization tools


• Identify patterns and trends in the data to provide insights


• Prepare reports and visualizations to present findings


• Collaborate with team members to develop solutions for data-related problems


• Continuously monitor data quality and identify any issues or discrepancies


• Communicate findings and insights effectively to various stakeholders


• Stay updated on industry trends and advancements in data analytics

Requirements:

• Bachelor's degree in a relevant field such as statistics, mathematics or computer science


• Strong analytical skills with the ability to interpret complex datasets


• Proficiency in SQL, Excel, and Tableau (or other data visualization tools)


• Knowledge of statistical analysis techniques such as regression, clustering, etc.


• Excellent communication skills with the ability to present findings clearly and concisely


• Detail-oriented with strong organizational skills


• Ability to work independently as well as collaborate with team members

Preferred:

• Experience working with large datasets in a professional setting


• Familiarity with programming languages such as Python or R


• Understanding of database design principles


• Knowledge of machine learning techniques

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Applications from women are particularly encouraged.