Zema Global Data Corporation is hiring for an FRESHER entry level REMOTE Data Analyst role in India

Position: Data Analyst 
Company: Zema Global Data Corporation 
Location: Navi Mumbai, India 
Job type: Full-time 
Job mode: Remote with mandatory quarterly on-site visits
Job requisition id: Not Specified in the original JD
Years of experience: 0-1 years (Freshers eligible)

Company Description

• Founded back in 1995, Zema Global Data Corporation has spent decades establishing itself as an absolute powerhouse in data management, market intelligence, and enterprise software solutions.

• The organization specializes in simplifying complex global data ecosystems, mitigating business operational risks, and enabling corporate leaders to execute fast, confident, data-driven decisions that generate measurable commercial growth.

• Over the past two years, Zema Global has undergone aggressive expansion, driven by strategic financial investments and targeted global acquisitions to solidify its domain leadership.

• Today, the organization holds an extensive operational footprint spanning international energy markets, global commodity trading, and institutional financial services across continents.

• The company culture is anchored around core operating values: Think Big, Make It Happen, and Win as One.

• Zema Global cultivates a highly collaborative, innovative, and inclusive work environment where creative problem-solving, mutual respect, and high-performance standards are actively nurtured.

• Team members work on solving sophisticated enterprise challenges, directly contributing to meaningful technologies that empower top-tier global institutions to maintain a clear decisioning advantage.

Profile Overview

• The Data Analyst position at Zema Global Data Corporation is a dynamic, high-impact operational role located in Navi Mumbai, designed specifically for fresh engineering/technology graduates or early-career analytical professionals possessing up to one year of experience.

• The successful candidate will sit within the core Data Operations 1 department, working directly alongside senior Data Analysts, Data Developers, Product Managers, and Client Support Specialists to guarantee accurate data flow.

• The primary mandate of this role revolves around ensuring that the central C&E (Commodities & Energy) data architecture continuously ingests, validates, processes, and distributes completely reliable, highly precise, and timely market data feeds to enterprise clients worldwide.

• Operational daily duties center around monitoring, maintaining, and troubleshooting automated data collection pipelines and extraction engines running across the C&E central data warehouse infrastructure.

• Analysts are responsible for diving deep into systematic processing logs, conducting fundamental root cause analysis during pipeline failures, and applying effective technical resolutions to minimize operational downtime.

• A critical focus area of this role involves end-to-end data quality assurance (QA), where analysts execute continuous audit checks, validate structural integrity, and rectify complex data discrepancies prior to downstream client delivery.

• The position requires active, professional email and ticket-based communication with global external vendor partners to resolve vendor file formatting glitches, content inconsistencies, or ingestion failures quickly.

• Internally, analysts work closely with internal Data Development teams to report processing bugs, test structural code fixes, and validate updated collection tools before live production releases.

• Additionally, analysts act as Tier-2 technical support escalations for Client Support Specialists, resolving intricate queries regarding data point definitions, historical series, and downstream usage analytics.

• Employees in this role operate on a rotational 24x7 coverage schedule to seamlessly support international global markets across Australia (AU), United Kingdom (UK), and United States (US) time zones.

• The operational arrangement offers flexibility as a partially remote configuration, with mandatory quarter-based in-person office presence at the state-of-the-art Navi Mumbai corporate facility.

Qualifications

• Education Requirement: Candidates must hold a formal Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or an equivalent technical quantitative discipline from a recognized university.

• Experience Level: Open to fresh university graduates as well as candidates with 0 to 1 year of hands-on technical experience in data analytics, data operations, or data quality validation.

• Database & Querying Proficiency: Proven fundamental command over SQL query language for running database queries, analyzing datasets, filtering rows, aggregating records, and inspecting structured data tables.

• Operating Systems Knowledge: Essential familiarity with basic Unix and Linux terminal environments, command-line usage, directory navigation, and log inspection methods.

• Analytical Capability: Strong foundational analytical mindset, quantitative reasoning, high attention to detail, and methodical problem-solving skills tailored for debugging data anomalies.

• Communication Skills: Excellent written and verbal English communication abilities, capable of translating technical operational details into clear emails for international vendor partners and client teams.

• Office Productivity Tools: Functional operational proficiency in the standard Microsoft Office Suite software package, including Microsoft Excel, Microsoft Outlook, Word, and PowerPoint.

• Conceptual Understanding: Basic foundational knowledge of enterprise data warehousing concepts, relational database schemas (such as Oracle, MySQL), and data modeling basics.

• Data Ingestion Frameworks: General familiarity with Extract, Transform, Load (ETL) paradigms, batch data processing, automated data collection pipelines, and streaming ingestion principles.

• Programming & Analytics Extras: Preferential experience or exposure to programming languages like Python or Java, which are useful for scripting automated tasks and handling data manipulation.

• Data Visualization & Reporting: Preferred familiarity with business intelligence platforms, specifically Power BI, for analyzing data distribution trends and generating reporting dashboards.

• Issue Tracking Tools: Basic working familiarity with corporate ticketing platforms, issue logging workflows, and task tracking tools like Atlassian JIRA.

• Professional Autonomy: Ability to work independently with minimal daily guidance while effectively prioritizing competing operational tasks, urgent ticket queues, and rigorous delivery deadlines.

• Adaptability & Learning Curve: Strong enthusiasm for rapidly learning proprietary internal data management tools, domain-specific market structures, and specialized enterprise data formats.

• Work Authorization: Applicants must possess valid legal work authorization for India, as no visa sponsorship or relocation assistance will be provided for this position.

Additional Info

• Work Schedule Structure: The position operates within a full 24x7 continuous operations framework requiring flexibility to work across rotational shift schedules aligned with major financial hubs.

• Shift Timings - AU Shift: Early morning Australian operational shift running from 05:30 IST to 14:30 IST.

• Shift Timings - UK Shift: Afternoon to night European operational shift running from 14:00/15:00 IST to 23:00/00:00 IST.

• Shift Timings - US Shift: Night to early morning American operational shift running from 20:30 IST to 05:30 IST.

• Shift Flexibility: Candidates must demonstrate readiness to adapt shift schedules by 1 to 2 hours depending on dynamic international business requirements, Daylight Saving Time adjustments, or vendor operational changes.

• Weekly Off Allocation: Employees receive two allocated weekly off days, which will be scheduled on a rotational basis and may not routinely fall on traditional Saturdays or Sundays.

• Work Mode Details: The post is currently structured as a hybrid/partially remote role, providing day-to-day remote flexibility while keeping physical infrastructure connected.

• Office Visit Requirement: Employees are required to travel to and work from the central Navi Mumbai corporate office at least once per calendar quarter for mandatory team alignment.

• Travel Responsibility: All travel, lodging, commuting, and related personal expenses associated with mandatory quarterly office visits remain the sole responsibility of the employee.

• Business Need Presence: Additional in-person office attendance in Navi Mumbai may be required as operational needs dictate, such as visiting overseas leadership, client visits, or critical project rollouts.

• Shift Rotations: Seamless adaptability to switch between morning, mid-day, and night shifts is a mandatory requirement for all candidates entering this operational cohort.

• Internal Collaboration: Strong continuous cross-functional collaboration is expected with global product development groups, client success units, and technical infrastructure support teams.

• Equal Opportunity Employer: Zema Global Data Corporation strictly maintains an equal opportunity employment framework, encouraging diverse applicants regardless of race, gender, status, or background.

• Long-term Career Path: Provides an outstanding foundational launching pad for entry-level data enthusiasts seeking to build careers in enterprise data architecture, commodity analytics, and global operations.

Please click here to apply.