
Data Processing Analyst (SPSS · Bengaluru
AagatiServe · AagatiServe
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Designation Offered
Data Processing Analyst (SPSS
Job Role
Data Analyst
Department
Business Operations
Job Type
Fulltime
Salary
7.00Lacs
Experience
1–3 years
Job Location
Bengaluru
Education
Bachelor's Degree
Posted by
AagatiServe
Posted On
16 May 2026
Valid until
15 Jul 2026
Skillset required
Job Description for Data Processing Analyst (SPSS
A role-focused description with responsibilities, expectations, and qualifications for this opening.
Data Processing Analyst (SPSS and Quantum) is a delivery-focused opportunity based in Bengaluru, India.
We are looking for a meticulous and analytical Data Processing Analyst to join our team. The ideal candidate will have over 3 years of experience in the market research industry, with a strong background in data processing and analysis.
Key Responsibilities
- We are looking for a meticulous and analytical Data Processing Analyst to join our team
- The ideal candidate will have over 3 years of experience in the market research industry, with a strong background in data processing and analysis
- Key Responsibilities: Process and clean raw data from various sources to prepare it for analysis
- Own day-to-day Data Processing Analyst (SPSS and Quantum) workflows with a focus on throughput, control, and process clarity.
- Track operational execution closely and intervene early when bottlenecks or exceptions emerge.
- Coordinate across teams to keep dependencies moving and stakeholders informed.
- Review reports, data, or reconciliations to identify gaps, risks, and corrective actions.
- Standardize repeatable processes and improve documentation so work is easier to execute reliably.
- Resolve escalations with urgency while preserving process integrity and service quality.
- Maintain clear records of outcomes, blockers, and action items for operational visibility.
- Partner with managers and functional teams to improve workflow design and turnaround times.
- Use operational metrics to prioritize improvement efforts and measure changes over time.
Preferred Qualifications
- Bachelor's degree or equivalent practical experience in operations, commerce, business, or a related field.
- Strong analytical thinking with the ability to work through ambiguity and operational bottlenecks.
- Excellent coordination, communication, and stakeholder-management skills.
- Comfort working across data, process, and execution details to improve throughput.
- Strong ownership mindset with attention to detail and follow-through.
- Ability to balance process discipline with fast-moving business needs.
Applications should be submitted through the listed apply link.
About this opening
AagatiServe is hiring a Data Analyst in the Business Operations team based in Bengaluru.
This role is fulltime, flexible, 1–3 years experience, ₹4 lakh–₹7 lakh per year—matched against UnoJobs' verified employer data.
Skills evaluated for this opening include Market Research, Problem Solving Skills, Statistics, Attention to Detail. Apply directly through UnoJobs to keep your application visible to AagatiServe without bouncing across multiple sites.
- Role
- Data Analyst
- Department
- Business Operations
- Location
- Bengaluru
- Work mode
- Flexible
- Experience
- 1–3 years
- Compensation
- ₹4 lakh–₹7 lakh per year
Common questions about this Data Processing Analyst (SPSS role
Quick answers before you apply — updated for candidates searching from Google and AI assistants.
- What tools do Bengaluru data analyst jobs usually require?
- Data Processing Analyst (SPSS listings in Bengaluru often mention Excel, SQL, Python, Power BI, or Tableau. This posting's skills section above is the best signal for what AagatiServe expects on day one.
- Are fresher data analyst jobs available in Bengaluru?
- Some Bengaluru data analyst roles accept freshers; this listing shows 1–3 years in the highlights. Filter fresher-friendly openings on UnoJobs Bengaluru hubs.
- What is the typical salary for this analyst role?
- This job lists ₹4 lakh–₹7 lakh per year. Analyst pay in Bengaluru scales with SQL depth, domain knowledge (BFSI, e-commerce, SaaS), and internship history.
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