Job Description

Job Title: Data Analyst

Location: Navi Mumbai

Work Mode: Remote

Shift: Rotational Shifts (AU, UK, and US)

Reports To: Manager

About the Role

We are looking for a detail-oriented Data Analyst to work alongside Data Analysts, Data Developers, Product Managers, and Client Support Specialists to ensure accurate, reliable, and timely delivery of data to clients.

The role involves monitoring automated data collection and extraction processes within the company's data warehouse, identifying data-related issues, performing quality checks, and addressing client queries. The selected candidate will work with internal teams and external data vendors to maintain data accuracy and improve operational efficiency.

Key Responsibilities

Monitor automated data collection activities using internal data management tools, Unix scripting, and SQL queries.
Investigate data collection failures by reviewing system logs, identifying root causes, and implementing appropriate solutions.
Perform data quality checks and validation to ensure the accuracy, completeness, and timely delivery of information.
Identify and resolve data inconsistencies reported through quality checks or client requests.
Communicate with external data vendors through email to resolve file-related issues and clarify data content.
Coordinate with the Data Development Team to resolve file processing problems and validate changes made to data collection processes.
Investigate and respond to escalated data-related queries received from Client Support Specialists.
Review and improve existing data quality checks to maintain reliable data feeds.
Prepare, review, and maintain technical documentation related to data feeds and processes.
Monitor and manage data-related issues and service requests through internal ticketing systems.
Understand client requirements and how they utilize ZEMA C&E data services.

Required Skills and Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or Statistics.
Fresh graduates and candidates with up to one year of experience in data analysis are encouraged to apply.
Strong analytical thinking, problem-solving abilities, and attention to detail.
Excellent written and verbal communication skills.
Ability to coordinate effectively with internal teams and external data vendors.
Working knowledge of Microsoft Office applications, including Excel, Outlook, Word, and PowerPoint.
Ability to work independently, manage multiple responsibilities, and meet deadlines.

Preferred Skills

Basic understanding of data warehousing concepts.
Familiarity with relational databases such as Oracle and MySQL.
Knowledge of SQL queries and Unix/Linux environments.
Understanding of ETL processes and data ingestion workflows.
Basic knowledge of Java, Python, Power BI (PBI), and JIRA will be an added advantage.

Work Schedule and Location Requirements

The position is currently remote, with employees required to visit the Navi Mumbai office at least once every quarter.
Travel and accommodation expenses for quarterly office visits must be managed by employees.
Additional office visits may be required based on business needs, including visits from international colleagues and leadership teams.
Candidates should be prepared to work from the office for multiple days whenever required.
The organization operates 24/7, so flexibility to work in rotational shifts is essential.
Weekly holidays will be assigned on any two days of the week and may not necessarily fall on Saturdays and Sundays.
Shift timings may change depending on operational requirements, with possible adjustments of approximately one to two hours.

Shift Timings

AU Shift: 05:30 AM – 02:30 PM IST

UK Shift: 02:00/03:00 PM – 11:00 PM/12:00 AM IST

US Shift: 08:30 PM – 05:30 AM IST

Additional Information

Visa Sponsorship: Visa sponsorship is not available for this position.

Equality and Diversity: Zema Global promotes an inclusive and diverse workplace and welcomes applications from qualified candidates regardless of gender, disability, race, sexual orientation, or other protected characteristics.

Job Details

Role: Data Science & Analytics – Other

Industry Type: Software Product

Department: Data Science & Analytics

Employment Type: Full-Time, Permanent

Role Category: Data Science & Analytics – Other

Educational Qualification

UG: B.Tech / B.E. in Any Specialization

Key Skills

Python, Data Analytics, SQL, Data Analysis, Microsoft Excel, Data Validation, Data Quality Analysis, Data Warehousing, ETL, Oracle, MySQL, Unix, Linux, Power BI, JIRA, Problem Solving, Analytical Skills.