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Sibun· Oct 31, 2026The Data Analyst position at Zema Global Data Corporation in Navi Mumbai is designed for fresh graduates and early-career professionals (0 to 1 years of experience) holding a degree in Computer Science, IT, Data Science, Engineering, Mathematics, or Statistics. Operating within the Data Operations 1 department, this hybrid and rotational-shift role sits at the intersection of automated data pipelines, data quality assurance, and cross-functional collaboration.
As a Data Analyst, you will monitor automated data collection processes, troubleshoot data extraction problems using Unix scripting and SQL, and ensure the accuracy, completeness, and timeliness of data delivered to global energy, commodity, and financial markets. You will work closely with Data Analysts, Data Developers, Product Managers, and Client Support Specialists, as well as coordinate with external data vendors via email to resolve file discrepancies and content inquiries.
This is a hybrid and remote role supporting a 24x7 operation. Candidates must be willing to work across rotational shifts covering AU (05
– 14 IST), UK (14/15 – 23/00 IST), and US (20 – 05 IST) time zones, with weekly offs falling on any two days without fixed Saturday and Sunday weekends. Additionally, employees are required to visit the Navi Mumbai office at least once per quarter (travel expenses borne by the employee) and attend occasional office days for business needs, overseas colleagues, or leadership visits.As a Data Analyst at Zema Global Data Corporation, entry-level professionals build a strong foundation in global data operations, data warehousing, and automated pipeline monitoring. From this role, analysts can progress toward senior data analysis positions, transition into data engineering or data development teams, or move into specialized product and client support management roles.
Navi Mumbai
Kickstart your career as a Data Analyst at Zema Global Data Corporation in Navi Mumbai, working in rotational shifts across global energy, commodity, and financial markets. This entry-level role is ideal for fresh graduates with a background in engineering or science who want to dive into data operations, automated collection pipelines, and quality assurance.
| Job Details | Information |
|---|---|
| Job Title | Data Analyst |
| Role | Data Analyst |
| Company | Zema Global Data Corporation |
| Location | Navi Mumbai |
| Category | Data Analytics |
| Experience | Entry level |
| Employment Type | Full-time |
| Work Mode | Hybrid |
| Primary Skill | Data Analysis, SQL, MySQL, Unix, Java, Excel, Jira, Power BI, Python, Data Quality Assurance, Oracle |
| DEPARTMENT | Data Operations 1 |
| Reports To | Manager |
| Posted Date | Nov 8, 2026 |
Typical responsibilities for this role (Karyvio guidance — not stated by the employer):
Bachelors degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics or Statistics Fresh graduates and candidates with up to 1 year of experience in data analysis are encouraged to apply Excellent analytical and problem-solving skills with strong attention to detail Strong written and verbal communication skills Ability to effectively communicate and collaborate with internal teams and external data vendors Experience with the Microsoft Office suite of software, including Excel, Outlook, Word, and PowerPoint Ability to work independently and manage competing priorities and deadlines
Not Publicly Disclosed: graduation years, CGPA cut-off, backlog policy. Check the employer’s page before applying.
The employer has not published a figure for this role
The selection process details are not publicly disclosed. Please follow the instructions provided in the employer's official communication channels.
Apply only through the employer’s official channel. Legitimate employers don’t ask candidates to pay a fee to apply or interview.
Written by Karyvio to help you prepare for this role. It is general guidance — not information supplied by Zema Global Data Corporation, and not a description of its actual interview.
Great fit for freshers with analytical backgrounds0–1 year experience accepted
SQL
Essential for querying data warehouses, checking logs, and validating datasets to ensure reliable data operations.
How to learn it: Practice writing complex joins, aggregations, and subqueries on relational databases like MySQL and Oracle.
Unix
Used to monitor automated scripts, navigate file systems, and analyze error logs in Linux-based environments.
How to learn it: Learn essential command-line navigation, file permissions, and log inspection using grep and tail.
Excel
Required for general data formatting, ad-hoc analysis, and managing reports in everyday office workflows.
How to learn it: Master pivot tables, VLOOKUP/XLOOKUP, conditional formatting, and basic data visualization functions.
Python
Helps automate routine data validation checks and handle basic data manipulation tasks.
How to learn it: Study core Python syntax, pandas library for tabular data, and script error handling.
JIRA
Used for tracking, managing, and resolving data issues and internal tickets efficiently.
How to learn it: Understand ticket lifecycles, status workflows, and priority management in agile tools.
Automated Log Monitoring and Alert Script
Write a Python or Unix shell script that parses a mock application or server log file, identifies error codes or missing data entries, and generates a summary notification report.
Unix · Python · Data Quality Assurance
Data Quality Validation Dashboard
Build an SQL and Excel/Power BI based project where you ingest a raw dataset, run automated QA checks for null values, duplicates, and format anomalies, and present the cleaning results.
SQL · Excel · Power BI · Data Analysis
Vendor Data Discrepancy Tracker
Create a mock ticketing workflow using JIRA or a spreadsheet tracker to log, categorize, resolve, and document data feed discrepancies received from external simulated partners.
JIRA · Data Analysis · Data Quality Assurance
Candidates must hold a Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or Statistics. Fresh graduates and individuals with up to one year of data analysis experience are eligible to apply.
The role is hybrid with remote work flexibility. However, employees are required to visit the Navi Mumbai office at least once per quarter at their own expense, and may need to attend the office for business needs or visits from overseas colleagues.
Zema Global Data Corporation operates 24x7 in rotational shifts covering AU (05:30 – 14:30 IST), UK (14:00/15:00 – 23:00/00:00 IST), and US (20:30 – 05:30 IST) time zones. Weekly offs can fall on any two days and are not guaranteed to be on weekends.
The role requires familiarity with SQL query language, Unix/Linux environments, relational databases like Oracle and MySQL, and Microsoft Office tools such as Excel. Knowledge of Python, Java, Power BI, and JIRA is a plus.
Responsibilities include monitoring automated data collection processes, resolving collection problems through log analysis, performing data quality checks, corresponding with data vendors, and managing internal tickets using JIRA.
No visa sponsorship is available for this position.
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