How much salary can I expect as a Data Analytics Executive in Kpmg India Services Llp in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Analytics Executive in Kpmg India Services Llp in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 3 to 31 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

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Both Male and Female candidates can apply for this job.

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Data Analytics Executive

Kpmg India Services Llp

Data Analytics Executive

Kpmg India Services Llp

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 3 years

Job Description

Executive-KDNI

ROLES & RESPONSIBILITIES

Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
Understanding of relational databases and SQL.
Fundamentals of programming in Python.
Analytical skills, eagerness to learn, proactivity, and teamwork.
Interest in data processing and visualization.
Support in understanding business problems and translating them into Data Analytics solutions, under the guidance of senior team members.
Assist in preparing and maintaining data infrastructure in Azure and other cloud platforms.
Participate in the development and optimization of automation and ETL (Extract, Transform, Load) processes.
Help process and manage structured and unstructured data, working with large volumes of information and databases.
Collaborate in data ingestion, ETL processes, and data modeling for visualization tools such as Power BI.
Be part of a multidisciplinary team, learning from experienced professionals in various technological areas (Power Platform, RPA, UX/UI, etc.).

EXPERIENCE

Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.
Basic experience in development with Python and/or SQL.
Experience in ETL or automation projects.
Experience in development with Alteryx is a plus, but not mandatory.
Interest and basic knowledge in data visualization (Power BI or other tools).

SKILLS & KNOWLEDGE

Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
Understanding of relational databases and SQL.
Fundamentals of programming in Python.
Analytical skills, eagerness to learn, proactivity, and teamwork.
Interest in data processing and visualization.

ROLES & RESPONSIBILITIES

Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
Understanding of relational databases and SQL.
Fundamentals of programming in Python.
Analytical skills, eagerness to learn, proactivity, and teamwork.
Interest in data processing and visualization.
Support in understanding business problems and translating them into Data Analytics solutions, under the guidance of senior team members.
Assist in preparing and maintaining data infrastructure in Azure and other cloud platforms.
Participate in the development and optimization of automation and ETL (Extract, Transform, Load) processes.
Help process and manage structured and unstructured data, working with large volumes of information and databases.
Collaborate in data ingestion, ETL processes, and data modeling for visualization tools such as Power BI.
Be part of a multidisciplinary team, learning from experienced professionals in various technological areas (Power Platform, RPA, UX/UI, etc.).

EXPERIENCE

Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.
Basic experience in development with Python and/or SQL.
Experience in ETL or automation projects.
Experience in development with Alteryx is a plus, but not mandatory.
Interest and basic knowledge in data visualization (Power BI or other tools).

SKILLS & KNOWLEDGE

Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
Understanding of relational databases and SQL.
Fundamentals of programming in Python.
Analytical skills, eagerness to learn, proactivity, and teamwork.
Interest in data processing and visualization.

Educational qualifications

•Degree or studies in Mathematics, Statistics, Computer Engineering, Telecommunications, or related fields.

Work experience

•3+ years of overall experience•Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.•Basic experience in development with Python and/or SQL.•Experience in ETL or automation projects.•Experience in development with Alteryx is a plus, but not mandatory.•Interest and basic knowledge in data visualization (Power BI or other tools).