Job Description

Job Title:

ADS Associate - Data Analyst | Machine Learning | Big Data

Job Type:

Full-Time

Location:

Bangalore/Pune/Gurgaon

Industry:

Technology, Data Science, Business Intelligence

About the Role

We are seeking a

data-driven and technically skilled ADS Associate

to join our growing analytics team. This role is perfect for early-career professionals with a strong background in

data analytics

,

statistical modeling

, and

machine learning

, who are passionate about deriving insights from large, complex datasets.

As an

ADS (Analytics and Decision Support) Associate

, you will be responsible for applying

advanced data analysis techniques

, building

predictive models

, and creating

data visualizations

to support strategic decision-making. You will work in a collaborative environment with

data scientists

,

business analysts

, and

stakeholders

to solve high-impact business problems.

Key Responsibilities

Design and implement

data models

,

algorithms

, and

statistical solutions

to analyze structured and unstructured datasets. Apply

machine learning algorithms

,

predictive analytics

,

data mining

, and

statistical testing

(e.g., A/B testing, regression analysis) to uncover actionable insights. Perform

data cleansing

,

data transformation

, and

feature engineering

for model development. Use tools like

Python (pandas, scikit-learn, NumPy)

,

R

, or Javafor data processing and modeling. Build interactive

dashboards

and

visualizations

using tools such as

Tableau

,

Power BI

, or

Matplotlib

. Collaborate with

cross-functional teams

(e.g., product managers, engineers, marketing analysts) to translate business requirements into data solutions. Utilize

big data platforms

and

cloud services

like

Hadoop

,

Amazon Web Services (AWS)

,

Spark

, or

Google Cloud Platform (GCP)

. Support the integration of new

data pipelines

,

APIs

, and

data sources

into analytical workflows. Document methodologies and present findings to

non-technical stakeholders

in a clear, concise manner.

Required Qualifications

1-2 years of hands-on experience in a role such as

Data Analyst

,

Business Intelligence Analyst

,

Junior Data Scientist

, or

Quantitative Analyst

. Bachelor's or Master's degree in

Computer Science

,

Statistics

,

Mathematics

,

Data Science

,

Econometrics

, or a related quantitative field. Strong proficiency in at least one programming language:

Python

,

R

, or Java*.
Familiarity with

SQL

and experience querying large-scale relational or NoSQL databases. Working knowledge of

cloud computing

and

data lake technologies

(AWS S3, Redshift, EMR, Azure, or GCP). Knowledge of

statistical concepts

,

data modeling

, and

advanced analytics techniques

(e.g., clustering, classification, forecasting).

Preferred Skills

Experience in

data storytelling

and presenting results to business or executive audiences. Background in

natural language processing (NLP)

,

recommender systems

, or

social media analytics

. Experience with

version control tools

like

Git/GitHub

and

agile development

practices. Ability to manage

multiple datasets

, work with

ETL pipelines

, and contribute to

data governance

efforts. Strong analytical thinking, attention to detail, and problem-solving capabilities.
Job Type: Full-time

Pay: ?1,200,000.00 - ?2,000,000.00 per year

Schedule:

Monday to Friday
Experience:

Data science: 4 years (Required) Python: 4 years (Required) Cloud Platforms: 2 years (Required) Hadoop Ecosystems: 2 years (Required)
Work Location: In person