3 - 5 years

12 - 13 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Are you passionate about transforming data into actionable insights that drive business successJoin SmartQ as a Data Analyst, where youll turn complex data into clear strategies, optimize decision-making, and fuel growth. Your expertise in data visualization, statistical analysis, and reporting will help streamline operations and enhance customer experiences. We seek a detail-oriented professional with strong analytical skills and a curiosity-driven mindset. If youre ready to make an impact with data-driven innovation, join us now!
1. Data Management Analysis
  • Collect, clean, and organize data from various client and internal systems.
  • Perform detailed analysis on client transaction data, engagement metrics, and operational KPIs.
  • Identify trends, anomalies, and opportunities for improving client service delivery.
2. Reporting Visualization
  • Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel.
  • Prepare monthly/quarterly client performance reports.
  • Translate complex datasets into easy-to-understand visual stories for clients.

3. Client Servicing Communication
  • Work closely with client servicing teams to understand business needs and translate them into data requirements.
  • Present insights and findings directly to clients in review meetings.
  • Proactively recommend solutions or process improvements based on data findings.
4. Cross-Functional Collaboration
  • Collaborate with tech, operations, and product teams to ensure accurate data flow and reporting.
  • Partner with business teams to define KPIs and measure campaign or product success.
  • Support new client onboarding with baseline data reports and trend analysis.
5. Quality Control Compliance
  • Ensure all data handling follows company and regulatory compliance requirements (GDPR, data privacy standards).
  • Regularly audit data quality and integrity.

Educational Qualification Skills Required
Essential:
  • Bachelor s degree in data Analytics, Statistics, Computer Science, or related field. With 3 to 5 years of work experience.
  • Strong analytical skills with expertise in Excel, SQL, and data visualization tools.
  • Experience in interpreting data for client-facing roles.
  • Strong communication skills to explain technical insights to non-technical audiences.

Preferred:
  • Experience in B2B SaaS, food-tech, or service-based industries.
  • Familiarity with APIs, CRM tools, and automated reporting workflows.
  • Knowledge of Python or R for advanced analytics.

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