Mashreq Bank
Job Summary
The Elite Job is seeking a motivated and detail-oriented
Python Data Analyst
to join our dynamic team. This entry-level position is ideal for candidates looking to build a career in data analytics, leveraging Python to extract, clean, and analyze data for actionable insights. The role focuses on supporting business decisions, identifying trends, and contributing to strategic initiatives across multiple projects. This is a fully remote position, providing flexibility while working with cutting-edge tools and datasets.
Key Responsibilities
Collect, clean, and analyze structured and unstructured data using Python and relevant libraries (Pandas, NumPy, Matplotlib, etc.).
Develop automated scripts to streamline data processing and reporting workflows.
Generate dashboards and visualizations to present insights to stakeholders.
Perform data validation and ensure accuracy and integrity of datasets.
Collaborate with cross-functional teams to support business analytics needs.
Assist in identifying trends, patterns, and anomalies in large datasets.
Document analytical processes and maintain clear records of methodologies and results.
Required Skills and Qualifications
Proficiency in Python programming, with experience in data libraries (Pandas, NumPy, Matplotlib, Seaborn).
Basic understanding of SQL and relational databases.
Familiarity with data visualization tools (Tableau, Power BI, or similar) is a plus.
Strong analytical and problem-solving skills.
Ability to work independently and meet deadlines in a remote environment.
Excellent written and verbal communication skills.
Bachelor
s degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field (freshers are welcome).
Experience
Entry-level position.
Internship experience or hands-on projects in Python data analysis is an advantage.
Working Hours
Flexible working hours, full-time remote position.
Occasional meetings may require alignment with standard business hours.
Knowledge, Skills, and Abilities
Strong attention to detail and accuracy.
Ability to translate complex data into simple, actionable insights.
Aptitude for learning new technologies and analytical tools quickly.
Strong organizational and time-management skills.
Team player with collaborative mindset in a remote work setup.
Benefits
Competitive salary with performance-based incentives.
Work-from-home flexibility and remote work infrastructure support.
Professional development opportunities and access to training resources.
Exposure to real-world projects and mentorship from experienced data analysts.
Collaborative and inclusive work culture.
Why Join The Elite Job At The Elite Job, we are committed to fostering a growth-oriented environment where your analytical skills are recognized and nurtured. Join us to gain hands-on experience with industry-leading tools, work on impactful projects, and accelerate your career in data analytics from the comfort of your home.
How to Apply Interested candidates are invited to submit their
resume and a brief cover letter
highlighting relevant projects or coursework in Python data analysis to
us . Shortlisted candidates will be contacted for an online interview and practical assessment.
#J-18808-Ljbffr
Python Data Analyst
to join our dynamic team. This entry-level position is ideal for candidates looking to build a career in data analytics, leveraging Python to extract, clean, and analyze data for actionable insights. The role focuses on supporting business decisions, identifying trends, and contributing to strategic initiatives across multiple projects. This is a fully remote position, providing flexibility while working with cutting-edge tools and datasets.
Key Responsibilities
Collect, clean, and analyze structured and unstructured data using Python and relevant libraries (Pandas, NumPy, Matplotlib, etc.).
Develop automated scripts to streamline data processing and reporting workflows.
Generate dashboards and visualizations to present insights to stakeholders.
Perform data validation and ensure accuracy and integrity of datasets.
Collaborate with cross-functional teams to support business analytics needs.
Assist in identifying trends, patterns, and anomalies in large datasets.
Document analytical processes and maintain clear records of methodologies and results.
Required Skills and Qualifications
Proficiency in Python programming, with experience in data libraries (Pandas, NumPy, Matplotlib, Seaborn).
Basic understanding of SQL and relational databases.
Familiarity with data visualization tools (Tableau, Power BI, or similar) is a plus.
Strong analytical and problem-solving skills.
Ability to work independently and meet deadlines in a remote environment.
Excellent written and verbal communication skills.
Bachelor
s degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field (freshers are welcome).
Experience
Entry-level position.
Internship experience or hands-on projects in Python data analysis is an advantage.
Working Hours
Flexible working hours, full-time remote position.
Occasional meetings may require alignment with standard business hours.
Knowledge, Skills, and Abilities
Strong attention to detail and accuracy.
Ability to translate complex data into simple, actionable insights.
Aptitude for learning new technologies and analytical tools quickly.
Strong organizational and time-management skills.
Team player with collaborative mindset in a remote work setup.
Benefits
Competitive salary with performance-based incentives.
Work-from-home flexibility and remote work infrastructure support.
Professional development opportunities and access to training resources.
Exposure to real-world projects and mentorship from experienced data analysts.
Collaborative and inclusive work culture.
Why Join The Elite Job At The Elite Job, we are committed to fostering a growth-oriented environment where your analytical skills are recognized and nurtured. Join us to gain hands-on experience with industry-leading tools, work on impactful projects, and accelerate your career in data analytics from the comfort of your home.
How to Apply Interested candidates are invited to submit their
resume and a brief cover letter
highlighting relevant projects or coursework in Python data analysis to
us . Shortlisted candidates will be contacted for an online interview and practical assessment.
#J-18808-Ljbffr