Data Analyst - Data Analyst  L3 (5.1-7 years)

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.

MAKE AN IMPACT

Job Description

Position Purpose

The role is responsible for delivering data analysis and establishing automated reporting, controls and monitoring for the   BROKK   team on both ad ‑ hoc and scheduled bases, leveraging a suite of analytical tools and SQL. The   BROKK   team is part of GM   IT and addresses tariff, invoice and fee ‑ data control & monitoring across four pillars:

Data/Business Analysis:   Perform and document analysis, review and study of tariff, invoice and fee data; understand business changes, assess impact and cost.

Data Visualization:   Provide dashboards that present tariff usage, invoice acquisition status and fee ‑ taxonomy in an appealing, user ‑ friendly way.

Data Mining:   Extract patterns and knowledge from large volumes of data stored in the   BROKK   database (tariffs, providers) to answer investigations or control needs.

Data Science:   Apply scientific methods to relational data to automate processes & controls (e.g., automatic validation of rate ‑ card documents, auto ‑ acquisition of invoices).

Direct Responsibilities

Set up automated controls for document storage, tariff validation, invoice acquisition and accounting based on user requirements.

Act as specialist in one or more areas – tariff management, e ‑ invoicing, fee ‑ taxonomy reporting.

Manage workload – prioritize and organize tasks, recognize urgency and deliver on time.

Analyze and solve problems – proactively identify missing rate cards, mismatched fee taxonomy or invoice gaps and implement solutions.

Communicate clearly to both technical and non ‑ technical audiences; deliver high ‑ quality presentations.

Contributing Responsibilities

Prioritize tasks while maintaining a balance of technical and functional knowledge.

Contribute to the team’s agile way of working.

Collaborate closely with developers, helping them understand concepts to achieve targets.

Suggest and implement optimized solutions.

Suggest and implement optimized solutions.

Technical & Behavioral Competencies

Strong grasp of relational databases; proficient in SQL.

Experience in data mining, analysis and basic ETL processes.

Curious, analytical and eager to learn.

Excellent communication skills, both written and verbal.

Quality ‑ focused with strong attention to detail.

Ability to thrive under pressure and manage stress effectively.

Comfortable working with distributed teams and sharing knowledge.

True team player with creativity and a problem ‑ solving mindset.

Specific Qualifications

Bachelor’s or master’s degree in engineering (Computer Science) and/or Financial Markets.

Advanced knowledge of SQL, with hands ‑ on experience in Oracle environments.

Functional knowledge of financial products and regulatory frameworks (EMIR, MiFID, CFTC, …).

Proficiency with visualization tools such as Microsoft Power   BI or Oracle   Apex.

Ability to produce clear technical and functional specifications.

Knowledge of Python and Elastic   Search.

Experience with machine ‑ learning or AI techniques is a plus.

Autonomous, rigorous, collaborative and able to manage stress.

Experience Level:   Minimum   5   years of IT experience, with proven expertise in Data Analyst role.

Skills Referential (Required knowledge, skills and abilities)