ntt-data
Data Analyst
NTT DATA is hiring a Data Analyst for its remote team in Karnataka, India. The role focuses on analysing source data, identifying patterns and trends, and supporting data-quality and KPI-related activities. The selected candidate will work on data profiling, Chemille usage analysis, business insight development and validation. The company is looking for candidates with data-analysis experience, strong analytical abilities and the flexibility to adapt to evolving business requirements.
Location
Remote, Karnataka, India
Experience
0–3 Years
Salary
4 - 8 LPA
Job Type
Full-time
Work Mode
Remote
Posted
28 Sept 2026
Responsibilities
- • Explore and profile source data.
- • Analyse Chemille usage and performance.
- • Identify trends and patterns within datasets.
- • Detect data-quality problems.
- • Support the definition and validation of KPIs.
- • Develop business insights from data.
- • Validate analytical findings and insights.
Requirements
- • Strong analytical skills.
- • Experience in data analysis.
- • Ability to analyse and interpret source data.
- • Ability to identify trends, patterns and data-quality issues.
- • Ability to support KPI definition and validation.
- • Ability to develop and validate business insights.
- • Adaptability to changing business needs.
Skills
Data AnalysisData ProfilingData Quality AnalysisTrend AnalysisPattern IdentificationKPI Definition and ValidationBusiness InsightsAnalytical SkillsChemille Usage Analysis
Eligibility
- • Degree/Education: Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, Mathematics, or a related field (Expected)
- • Experience: 0–3 years of experience in data analysis or a related field
- • Fresher eligibility: Freshers can apply
- • Experienced candidates: Candidates with up to 3 years of experience can apply
- • Graduation year: 2023–2026 graduates
- • Certifications: Data Analytics, SQL, Power BI, Tableau, or related certifications
- • Strong analytical and problem-solving skills
- • Knowledge of data analysis and data interpretation
- • Ability to identify trends, patterns, and data-quality issues
- • Ability to develop and validate business insights
- • Adaptability to changing business requirements
How to Apply
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