Senior Data Analyst

Job Title: Data Analyst (Python +Pyspark)

About Us

Capco, a Wipro company, is a global technology and management consulting firm

Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount

With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors

We are recognized for our deep transformation execution and delivery

WHY JOIN CAPCO

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry

The projects that will transform the financial services industry

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business

Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage

Job Description

Role: Data Analyst / Senior Data Analyst

Location : Bangalore/ Pune

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 on

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

Working with stakeholders to ensure that negative customer and business impacts are avoided

Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio

Good understanding of the control requirement surrounding data handling

Experience/Skillset

Must have -

Excellent analytical skills and commercial acumen, Minimum 4+ years of experience with Python and 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 the challenge of 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 data bases 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

Good to have -

Preferable knowledge and experience in Data Quality & Governance

For Spark Scala should have working experience using scala (preferable) or java for spark

For Senior DAs: proven track record of managing small delivery-focussed data teams