Data Analyst (Arabic)

Gratitude Inc

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2 months ago

Data Analyst (Arabic)

1-3 Year(s)

₹ 7 - ₹ 9 Lacs p.m

Thane

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Job Description

Key Skills

Data Analysis Supply Chain ms excel Arabic Financial Analysis

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Job Title: Data Analyst (Arabic)

Location: Thane
Experience: 1–3 Years
CTC: Up to ₹9 LPA
Grade: BPO 2/3 Equivalent

Job Description

We are hiring Data Analysts (Arabic) for a leading global organization. The role involves financial research, web research, data analysis, and maintaining financial databases. Candidates should have strong Arabic language proficiency and excellent analytical skills.

Key Responsibilities

Conduct web research and document research related to global companies and financial information.
Analyze and interpret financial and research documents.
Tag and maintain researched data accurately in client systems.
Build knowledge of financial regulations and market practices.
Maintain high data quality and accuracy.
Collaborate with internal teams and interact with clients regularly.
Handle multiple tasks efficiently in a rotational shift environment.

Eligibility Criteria

Experience: 1–3 years
Arabic Language: E2 Level (Mandatory)
Strong English communication skills.
B.Com / BAF / BMS / MBA (Finance) preferred. Candidates from other streams with strong Arabic and English communication skills may also apply.
Experience working with financial research documents is preferred.
Good research, analytical, and interpretation skills.
Basic understanding of supply chain concepts is an added advantage.
Good knowledge of MS Office, especially Microsoft Excel.
Ability to work independently and in a team.

Important Notes

Ex-TCS employees are not eligible to apply.
PAN Card and Date of Birth (DOB) are mandatory for profile creation.
Rotational shifts.

Mandatory Questionnaire

Please complete the questionnaire before applying:
Questionnaire Link: https://myglit.com/lateral/cref/46a1bee117

Role

Data Analyst

Timings

Day Shift (Permanent)

Industry

BPO

Work Mode

Work from office

Functional Area

Analytics & Business Intelligence

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