Senior Data Analyst

Capco; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A global consulting firm is seeking a Data Analyst in Bangalore or Pune. The role requires strong analytical skills, expertise in Python and PySpark, and a background in financial services. Responsibilities include defining source data for insights, managing data migration, and ensuring robust communication with stakeholders. This position offers hybrid work flexibility.

Qualifications

• Minimum 4+ years of experience with Python & PySpark.
• Strong Data Analyst with Financial Services experience.
• Ability to manage multiple priorities.

Responsibilities

• Define and obtain source data required to successfully deliver insights.
• Determine the data mapping to join multiple data sets.
• Create methods to highlight and report data inconsistencies.

Skills

Analytical skills

Commercial acumen

Python

PySpark

SQL

Data handling control requirements

Tools

Hive

CMD

Putty

Note++

Job description

Overview

Job Title: Data Analyst (Python + PySpark)

Location: Bangalore / Pune

Role

Data Analyst / Senior Data Analyst

Responsibilities

• Define and obtain source data required to successfully deliver insights and use cases
• Determine the data mapping required to join multiple data sets together across multiple sources
• Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback
• Propose suitable data migration sets to the relevant stakeholders
• Assist teams with processing the data migration sets as required
• Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer

Role Requirements

• Strong Data Analyst with Financial Services experience
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
• Knowledge of one or more of the following domains (including market data vendors): Party/Client, Trade, Settlements, Payments, Instrument and pricing, Market and/or Credit Risk
• Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions
• Work with stakeholders to ensure that negative customer and business impacts are avoided
• Manage stakeholder expectations and ensure robust communication and escalation mechanisms are in place across the project portfolio
• Good understanding of the control requirements surrounding data handling

Experience / Skillset

• Must have - Excellent analytical skills and commercial acumen, minimum 4+ years of experience with Python & PySpark
• Good understanding of the control requirements surrounding data handling
• Experience of big data programmes preferable
• Strong verbal and written communication skills
• Strong self-starter with strong change delivery skills who enjoys delivering change within tight deadlines
• Ability to manage multiple priorities
• Business analysis skills, defining and understanding requirements
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
• Can write SQL queries and navigate databases especially Hive, CMD, Putty, Note++
• Enthusiastic and energetic problem solver to join an ambitious team
• Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle
• Ability to communicate effectively in a multi-programme environment across a range of stakeholders
• Attention to detail
• Preferable knowledge and experience in Data Quality & Governance

Nice to Have

• For Spark Scala - should have working experience using Scala (preferable) or Java for Spark
• For Senior DAs: proven track record of managing small delivery-focused data teams

Additional

[09:07] Mishra, Aditi

#LI-Hybrid

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