Data Analyst
Deel
About the role
Zema Global Data Corporation, founded in 1995, has built a reputation as a trusted partner for organisations operating in energy, commodity and financial markets. Over the last two years the company has accelerated its growth through strategic investments and acquisitions, expanding its global footprint and strengthening its dataβdriven decisionβmaking platform. Zemaβs mission is to simplify complexity, reduce risk and enable faster, more confident decisions for its customers.
The firmβs culture is anchored on three pillars β Think Big, Make It Happen and Win as One β fostering collaboration, creativity and a purposeβdriven mindset.
The Data Analyst role sits within the Data Operations department and is a critical link between data collection, processing and delivery to Zemaβs global client base. Reporting to the Manager, the analyst will work closely with fellow analysts, data developers, product managers and client support specialists to ensure that the C&E (Commodities & Energy) data warehouse receives clean, accurate and timely data. The position is primarily remote but requires quarterly visits to the Navi Mumbai office and flexibility to work rotational shifts covering AU, UK and US time zones.
Key Responsibilities
- Monitor automated data collection pipelines using proprietary tools, Unix scripting and SQL.
- Analyse logs, identify rootβcauses of collection failures and implement corrective actions.
- Perform data quality checks, validation and reconciliation to guarantee completeness and timeliness.
- Respond to clientβraised data discrepancies and coordinate with the Data Development team for code fixes.
- Communicate with external data vendors via email to resolve fileβformat or content issues.
- Escalate complex processing problems and assist in QA of any pipeline changes.
- Update and maintain dataβfeed documentation and QA checklists.
- Track all data issues in internal ticketing systems and ensure timely closure.
- Understand client useβcases to provide better dataβservice recommendations.
- Contribute to continuous improvement of dataβfeed processes and documentation.
Tech Stack & Skills: The role leverages SQL (Oracle/MySQL), Unix/Linux environments, Excel, and basic scripting (Python/Java). Familiarity with ETL concepts, Power BI, and JIRA is a plus. Strong analytical, problemβsolving and communication abilities are essential.
Growth Path: Starting as a junior analyst, high performers can progress to Senior Data Analyst, Data Development Lead, or Product Analytics Manager within 2β3 years, gaining exposure to global markets and advanced analytics projects.
Why Join Zema Global? You will be part of a fastβgrowing, globally recognised data firm that values innovation and offers exposure to realβworld commodity and financial data. The rotational shift model provides a unique opportunity to work with teams across continents, enhancing your crossβcultural collaboration skills.
Moreover, the blend of remote work and quarterly office interactions offers flexibility while maintaining a strong team bond.
Eligibility & process
Who can apply
Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics or Statistics; minimum 60% aggregate (or CGPA 6.0/10); fresh graduates and candidates with up to 1 year of experience; no active backlogs at the time of joining; strong analytical and communication skills.
Skills & stack
Selection process
- Round 1: Online aptitude & logical reasoning test
- Round 2: Technical interview covering SQL, Unix scripting and data quality concepts
- Round 3: HR interview focusing on cultural fit and career aspirations
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Deel's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.