
Job Overview – SmartQ Data Analyst Recruitment
SmartQ is inviting application for the position of Data Analyst in Bangalore, Karnataka, India. if you are passionate about data analytics, visualization, and reporting, this is your chance to join a fast-growing company in the food-tech and SaaS space. With 3-5 years of experience required, this role is prefect for professionals who want to work on data-driven strategies and make an impact on client servicing and operational excellence
Job Overview Table – SmartQ Data Analyst Recruitment
Company | Data Analyst |
Role | Data Analyst |
Year | 2025 |
Location | Bangalore, Karnataka, India |
Experience | 3 to 5 years |
Qualification | Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field |
Batch Eligible | 2020, 2021, 2022, 2023, 2024 |
Salary | Competitive (SmartQ Data Analyst Salary as per company standards) |
Skills Required | SQL, Excel, Power BI, Data Visualization, Reporting, Statistics |
Selection Process | 1.Online Test 2.Technical Interview 3.HR Interview |
Apply Now | Click Here |
Table of Contents
Job Details
- Role: Data Analyst
- Department: Core – Tech Ops
- Open Positions: 1
- Location: Bangalore, Karnataka, India
- Experience Required: 3–5 years
- Job Type: Full-time, Permanent
- Job Type: Full-time, Permanent
- Batch Eligible: 2020–2024 graduates
- Salary: Competitive, industry-aligned
Job Description – SmartQ Data Analyst Recruitment
As a SmartQ Data Analyst, you will be responsible for transforming data into actionable insights that fuel business growth. This tole demands strong analytical abilities, data storytelling, and client facing communication skills.
Key Responsibilities:
- Data Management & Analysis
- Collect, clean, and organize data from internal and client systems.
- Perform detailed analysis on transaction data, KPIs and engagement metrics.
- Identify opportunities for services improvement.
- Reporting & visulization
- Create and manage dashboards using Power BI, Tableau, or Excel.
- Prepare performance reports for monthly and quarterly reviews.
- Present complex datasets in simple visual formats.
- Client Servicing & Communication
- Work with client servicing teams to understand requirements.
- Present insights in client review meetings.
- Recommend improvements backed by data findings.
- Cross – Functional Collaboration
- Partner with product, operations, and tech teams for smooth data flow.
- Define KPIs and measure business success.
- Support new client onboarding with reports.
- Quality & Compliance
- Maintain compliance with GDPR and data privacy rules.
- Conduct regular data audits.
Eligibility Criteria
- Essential:
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field.
- 3–5 years of experience in data analysis.
- Strong knowledge of SQL, Excel, Power BI.
- Experience in client-facing roles with data interpretation.
- Excellent communication skills.
- Preferred:
- Experience in B2B SaaS, food-tech, or service-based industries.
- Familiarity with APIs, CRM tools, and reporting automation.
- Knowledge of Python or R for advanced analytics.
Selection Process
The SmartQ Data Analyst Recruitment 2025 selection process includes:
- Online Assessment
- SQL, Excel, and data analytics test.
- Technical Interview
- Problem-solving and data visualization discussion.
- HR Interview
- Final evaluation and offer discussion.
How to Apply
Interested candidates can apply online for the SmartQ Data Analyst Recruitment 2025 by clicking the official link below:
Click Here to Apply : Data Analyst Jobs
FAQs- SmartQ Data Analyst Recruitment
Q1 What is the SmartQ Data Analyst Salary in 2025?
The SmartQ Data Analyst salary is competitive and aligned with industry standards. Exact figures are shared during the interview process.
Q2. Is this SmartQ Data Analyst Recruitment 2025 open for freshers?
No, this role requires 3–5 years of experience. However, SmartQ Off Campus Fresher Jobs are posted separately on their careers page.
Q3. What skills are most important for SmartQ Data Analyst Jobs?
Strong command over SQL, Excel, Power BI, data visualization, and statistics is essential. Client-facing communication skills are also highly valued.
Q4. How can pre[are for the SamartQ Data Analyst Selection Process?
Focus on SQL queries, Excel formulas, dashboard building in Power BI, and business case studies. Strong problem-solving skills are key.
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