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Senior Data Analyst

NeoGenCode Technologies Pvt Ltd Verified employer

Actively hiring · Posted 2d ago · JEV26111F63876CDF

Salary₹10,00,000 – ₹18,00,000 per year
Experience5–10 yrs
LocationBengaluru (Bangalore)
Work modeHybrid · Full time
Openings1
ShiftTiming : 11:00 AM – 8:00 PM ISTNotice Period : Immediate Joiners OnlyJob Summary

Job description

Position : Senior Data AnalystExperience Required : 5 to 8 YearsLocation : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)Shift Timing : 11:00 AM – 8:00 PM ISTNotice Period : Immediate Joiners OnlyJob Summary :We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.Key Responsibilities :Lead the design, execution, and delivery of advanced data analysis projects.Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.Create and maintain interactive dashboards, reports, and visualizations.Perform root cause analysis and uncover meaningful patterns from large datasets.Present analytical findings to senior leaders and non-technical audiences.Maintain data integrity, quality, and governance in all reporting and analytics solutions.Mentor junior analysts and support their professional development.Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.Must-Have Skills :Strong proficiency in SQL and DatabricksHands-on experience with cloud data platforms (AWS, Azure, or GCP)Sound understanding of data warehousing concepts and BI best practicesGood-to-Have :Experience with AWSExposure to machine learning and predictive analyticsIndustry-specific analytics experience (preferred but not mandatory)

Key skills

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