Job Description:
Job Description: Senior Analyst / Analytics Lead
Experience: 8–10 years
Location: Remote (India)
Department: Analytics / Data Science / Risk Analytics
Industry Preference: Financial Services
Role Overview
- Looking for a senior professional (8–10 years) who can work across data engineering and data insights, not just pipeline building
- Role requires someone who can build pipelines, understand data deeply, and generate insights
- Strong focus on data quality, validation, and sense-checking before consumption
- Work in a fast-paced FinTech environment with high ownership and minimal guidance
- Expected to leverage AI and agentic workflows to improve efficiency and outcomes
- Ideal candidate acts as an AI enabler, not just a developer
Key Responsibilities
- Build and manage ETL/ELT pipelines, especially ingesting data via APIs
- Use AI tools (e.g., Claude, Codex) to improve development efficiency
- Work with Snowflake and S3 for scalable data storage and processing
- Perform data validation, QC, and sense-checking to ensure reliability
- Analyse datasets to derive meaningful insights for business decision-making
- Identify data issues, inconsistencies, and resolve them proactively
- Translate business needs into practical and scalable data solutions
- Integrate and manage multiple API-based data sources
- Contribute to or build Agentic AI workflows where applicable
- Take end-to-end ownership of problems with minimal supervision
Required Skills & Qualifications
· 8–10 years of experience in data engineering + data analytics + AI-related roles
· Most important skills are to learn and upskill quickly in newer domains using AI sources and get things done
· Strong proficiency in Python and SQL
· Experience or familiarity with AI coding assistants (Claude, Codex, etc.)
· Experience working with Snowflake and S3 and building API-driven data pipelines
· Strong understanding of data quality, validation, and QC processes
· Ability to analyse data and generate actionable insights
· Exposure to or experience with Agentic AI systems
· Strong problem-solving skills and independent working ability
· Ability to learn quickly and adapt in a rapidly evolving, AI-driven environment
Education
Bachelor’s/master’s degree in engineering, Statistics, Economics, Mathematics, Data Science, or a related field.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 8-10 years of experience in data engineering, analytics, and AI roles
- Strong proficiency in Python and SQL
- Experience with Snowflake and S3
- Ability to analyse data and generate actionable insights
- Experience with AI coding assistants like Claude and Codex
- Strong problem-solving skills
- Bachelor's/master's degree in engineering or related field
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
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