Assistant Manager - Data Analyst
At a glance
Manager-level Data Analysis & BI role at B-Entity Career Site. Noida · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build conceptual, logical and physical data models for applications, relational systems, dimensional data and NoSQL platforms
- Guide implementation of databases, data marts and data lakes across SQL, NoSQL, cloud and on-premises environments
- Improve existing data architecture and query speed by setting and applying design practices
- Work with business and application teams to shape data strategies, create data flows and deliver models
- Set data modelling standards and identify source interfaces, automated loading, security and analytics needs
What you bring
- You bring expert-level data engineering skills in Python, PySpark and SQL
- You understand banking and financial services in depth
- You have a technology-related undergraduate or postgraduate degree
Who this fits
This role suits someone who can work independently and alongside business and application teams. It is based in Noida, India.
From the employer
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Functional Skills
- Be responsible for the development of the conceptual, logical, and physical data models, oversight of the implementation of RDBMS, operational data stores (ODS), application databases, data marts, and data lakes on target platforms (SQL/NoSQL/cloud/on-prem) using Erwin or similar.
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
- Candidate should be an expert in Data Engineer skills including Python, PySpark and SQL.
- Candidate should have in-depth understanding of BFSI domain [Banking Finance]
- Implement business and IT data requirements through new data strategies and designs across all data platforms (application, relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, operations and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualisations
Responsibilities
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
Any tech Graduate/Post-graduate
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