IDFC First Bank is recruiting for a Senior Data Analyst

Short Description:

The Senior Data Analyst role within Customer Experience (Cx) at IDFC First Bank focuses on identifying business needs and deploying analytical tools to drive informed decision-making processes. Responsibilities include aligning initiatives with organizational goals, integrating emerging technologies, and developing robust data infrastructure. The role also entails ensuring data governance compliance, designing solution blueprints, and formulating test strategies for solution efficacy. Candidates should possess a Bachelor's or Master's degree along with 5 to 10 years of relevant experience. Overall, the Senior Data Analyst plays a critical role in enhancing digital banking experiences through data-driven insights and innovative solutions.

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Position: Senior Data Analyst
Company: IDFC First Bank
Location: Mumbai, Maharashtra, India
Job type: Full time
Job mode: Onsite
Job id: 120112

Role Overview

In this comprehensive analysis, we delve into the intricate details of the Senior Data Analyst position, focusing on its pivotal role within the realm of Customer Experience (Cx). We'll explore the nuanced responsibilities, essential qualifications, and the overarching impact this role has on data analytics and digital banking.

Understanding the Role

Defining the Senior Data Analyst

At its core, the Senior Data Analyst position revolves around identifying and addressing business needs through the deployment of analytical tools and methodologies. This role serves as a crucial conduit between raw data and actionable insights, driving informed decision-making processes.

Key Responsibilities

Strategic Business Alignment

One of the primary responsibilities entails meticulously identifying and prioritizing business requirements. Through rigorous analysis and information gathering, the Senior Data Analyst ensures that initiatives and programs are aligned with organizational goals, thus facilitating effective delivery.

Technological Integration

Staying abreast of emerging technological trends is imperative in this role. The Senior Data Analyst monitors and integrates advancements in technology to enhance data gathering processes, facilitating the identification of innovative products and services.

Data Infrastructure Development

A cornerstone of the role involves crafting robust data structures tailored to meet diverse requirements. This encompasses designing data flows, setting parameters, and devising mechanisms for data maintenance and retrieval, all aligned with business needs.

Governance and Compliance

Ensuring adherence to data governance protocols is paramount. The Senior Data Analyst develops and implements guidelines for data handling throughout its lifecycle, providing expertise in resolving complex data breaches and ambiguities.

Solution Design and Stakeholder Management

Striking a balance between stakeholder expectations and organizational objectives is essential. The Senior Data Analyst designs solution blueprints and fosters stakeholder alignment to drive the development of tech solutions tailored to meet evolving business needs.

Test Strategy Development

To ensure solution efficacy, a robust test strategy is devised. The Senior Data Analyst formulates systematic test procedures to verify solution adherence to design specifications, performance benchmarks, and scalability requirements.

Innovation Exploration

Embracing innovation is pivotal for driving organizational growth. The Senior Data Analyst evaluates digitization opportunities and harnesses innovative data analytics advancements to pioneer new services and bridge the physical-digital divide.

Advanced Analytics Application

Applying advanced computational methods is central to achieving desired outcomes. The Senior Data Analyst selects and implements analytical tools to enable systems to learn, adapt, and optimize performance, thereby enhancing overall efficiency.

Educational Qualifications and Experience

Academic Background

Prospective candidates should possess a Bachelor's or Master's degree in any field, coupled with a professional qualification in their respective domain.

Experience Requirement

The ideal candidate should have a rich experience spanning 5 to 10 years, demonstrating proficiency in data analytics, technological integration, and stakeholder management.

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