94 Junior Data Analyst jobs in Delhi

Role: Data Analyst

Location: Gurgaon / Noida / Bangalore / Pune / Hyderabad

Experience: 4–6 years

Notice Period: Immediate Joiners

About the Role:

We’re looking for a Data Analyst to join our team and drive the development of analytics-driven fraud detection solutions . In this role, you’ll design, build, and optimize analytical workflows using SQL, Python, PySpark, and Hadoop , while working closely with fraud analytics and operations teams to strengthen frameworks for card transactions and account opening domains .

Responsibilities

• Develop, maintain, and optimize complex SQL queries for large-scale datasets.
• Use Python (Pandas, NumPy, etc.) for advanced data processing, automation, and analytical solutions.
• Build and maintain Tableau dashboards to deliver actionable insights.
• Perform data wrangling, cleansing, and transformation from multiple data sources.
• Conduct deep-dive analysis to identify patterns, anomalies, and potential fraudulent activities in card transactions and account opening domains.
• Collaborate with fraud analytics & operations teams to strengthen fraud detection frameworks.
• Document processes, ensuring data integrity and compliance .
• Drive continuous improvements in data pipelines, tools, and reporting mechanisms.

Qualifications

• 4–6 years’ experience in data analytics roles (not data engineering).
• Proven expertise in SQL, Python, PySpark , and Hadoop/Oracle .
• Strong background in data analysis, fraud analytics, or financial analytics .
• Experience in Tableau dashboards & storytelling with data.
• Strong analytical, problem-solving, and communication skills.

Role: Data Analyst

Location: Gurgaon / Noida / Bangalore / Pune / Hyderabad

Experience: 4–6 years

Notice Period: Immediate Joiners

About the Role:

We’re looking for a Data Analyst to join our team and drive the development of analytics-driven fraud detection solutions . In this role, you’ll design, build, and optimize analytical workflows using SQL, Python, PySpark, and Hadoop , while working closely with fraud analytics and operations teams to strengthen frameworks for card transactions and account opening domains .

Responsibilities

• Develop, maintain, and optimize complex SQL queries for large-scale datasets.
• Use Python (Pandas, NumPy, etc.) for advanced data processing, automation, and analytical solutions.
• Build and maintain Tableau dashboards to deliver actionable insights.
• Perform data wrangling, cleansing, and transformation from multiple data sources.
• Conduct deep-dive analysis to identify patterns, anomalies, and potential fraudulent activities in card transactions and account opening domains.
• Collaborate with fraud analytics & operations teams to strengthen fraud detection frameworks.
• Document processes, ensuring data integrity and compliance .
• Drive continuous improvements in data pipelines, tools, and reporting mechanisms.

Qualifications

• 4–6 years’ experience in data analytics roles (not data engineering).
• Proven expertise in SQL, Python, PySpark , and Hadoop/Oracle .
• Strong background in data analysis, fraud analytics, or financial analytics .
• Experience in Tableau dashboards & storytelling with data.
• Strong analytical, problem-solving, and communication skills.

About us:
JATO Dynamics is a global company and the leading provider of automotive market intelligence. With an insight into over 50 overseas markets, we deliver the world's most complete, accurate and up-to-date automotive data and insights, creating significant competitive advantage to our customers.

Find out more about what we do here: JATO

Our vision. Our vision is to be the world’s most exciting leader in automotive business intelligence solutions. We aim to generate excitement through implementing pioneering ideas, problem solving and going beyond our customer expectations. Our JATO colleagues are partners in our future and stakeholders in our desires. Our strategic intent is to help customers create significant competitive advantage by constantly leading in connected data, information and knowledge provision, ultimately improving our customers’ work processes, informed decision-making and business results.

Role Overview:

As a Data Analyst, you will be responsible for managing and analysing data efficiently, ensuring timely and accurate data processing. Your primary focus will be on handling datasets, maintaining databases, and leveraging analytical tools to extract insights. You will play a key role in improving data accuracy, reporting, and visualization, while ensuring compliance with service-level agreements.

Key Responsibilities:

• Work on large datasets utilising relevant tools MS Excel, SQL, Python, and Power BI to manage, analyse, and visualize data.
• Oversee data flow, integrating external datasets into JATO environment while ensuring consistency and accuracy.
• Execute ETL (Extract, Transform, Load) processes to optimize data management.
• Perform data cleaning, validation, and matching using JATO definitions and terminology.
• Identify trends using multiple research sources to enhance data accuracy and completeness.
• Conduct data validation, formatting and transformation to maintain high data quality.
• Monitor and report any failures, issues, or anomalies using JATO’s reporting tools.
• Maintain and update documentation related to data processes and workflows.
• Collaborate with the Data development team at HQ to refine data processing strategies.
• Work with teams to improve the efficiency through automation- always strive to find new ways to automate tasks.
• Perform database backups and housekeeping tasks to safeguard data integrity.
• Ensure quality assurance through thorough testing of databases and data feeds. In case of any anomalies report and amend the historical datasets.
• Develop insightful reports and dashboards to support decision-making.

Key Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in MS Excel, SQL, Python, and Power BI/Tableau for data analysis and visualization.
• Experience working in a database environment with structured and unstructured data.
• Strong understanding of data management, ETL processes, and reporting techniques.
• Ability to prioritize workloads and meet tight deadlines while maintaining accuracy.
• Exceptional communication skills (both verbal and written) to convey insights effectively.
• Self-motivated, detail-oriented, and results-driven approach to data handling.
• Ability to work both independently and collaboratively in a team environment.
• A flexible, professional attitude with the ability to support change management processes when and if necessary.
• Knowledge of the local car market and a working knowledge of the terms used to describe vehicles would be an asset but not essential.

What We Offer:

• Competitive base salary plus performance-based bonus.
• Comprehensive benefits package including health insurance, retirement plan, and paid time off.
• Professional development opportunities training.
• Collaborative and innovative work environment.

JATO Dynamics is a global business and our success is attributed to the diversity, skills and experiences of our colleagues across the world. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, sex, age, gender identity, sexual orientation, religion or belief, disability, marital status or veteran status.

Our values . JATO core values are Integrity, People First, Collaboration, Innovation and Excellence.

Learn more about our values here: JATO Core Values

Job Title – Data Analyst

Place of Posting – Delhi

Role:

Data Analyst is expected to :

·    Do independent research on various topics as per the project requirements.

·    Create survey schedules and questionnaires and manage field data teams (if necessary)

·    Organize and clean datasets gathered by operations teams

·    Analyze the data using various tools and soft wares.

·    Produce meaningful insights from the project data.

·    Write rigorous reports and policy briefs using the data and field insights.

·    Provide research and policy outputs.

Specific Responsibilities

·    Collecting data:  Sourcing data from various internal and external sources, including databases, surveys, logs, and APIs.

·    Cleaning and pre-processing data:  Identifying and correcting data inconsistencies, errors, and missing values to ensure accuracy and completeness.

·    Transforming data:  Manipulating data using tools like  pandas and SQL to structure it for analysis.

Data Analysis and Modeling:

• Exploratory data analysis (EDA):  Analyzing data to understand its distribution, patterns, and relationships between variables.
  
• Statistical analysis:  Applying statistical methods and tools to identify trends, correlations, and significant differences.
  
• Modeling:  Building predictive models using techniques like regression and machine learning to forecast future outcomes.
  

·    Creating visualizations:  Designing charts, graphs, and dashboards to communicate data insights clearly and effectively to technical and non-technical audiences.

·    Report generation:  Writing reports summarizing findings, interpretations, and recommendations based on data analysis.

·    Presenting insights:  Presenting findings to stakeholders in a clear, concise, and compelling manner.

Other

• Data Validation: Ensure data integrity by validating, cross-checking and cleaning the data as needed
  
• Data Maintenance and Optimization: Responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes
  
• User feedback analysis: Engage with the operations teams to integrate feedback, driving continuous improvement in data visualisation and utility
  

·    Any other assignment given by the senior management

Desirable skills and qualifications

·    Masters in data science/statistics/economics with 5-10 years of experience working on primary and secondary datasets with prior experience of data analytics and report writing roles

·    Research oriented focus.

·    Understanding of statistical concepts

·    Understanding of data science and analysis principles

·    Analytical skills in picking out and understanding key insights from the data

·    Documentation and project management skills

·    Excellent communication and leadership skills to deliver data-driven insights at an executive level

·    Having knowledge of India’s Economy and its challenges.

·    Capable of handling large primary datasets / experience working with primary agriculture datasets.

·    Knowledge of various data analysis tools like R or Stata.

·    Proficiency in SQL and programming skills in Python or R

·    Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards

·    Well versed with data visualization techniques and soft wares.

·    Embody BYST’s mission, vision, and values

Job Title – Data Analyst

Place of Posting – Delhi

Role:

Data Analyst is expected to :

·    Do independent research on various topics as per the project requirements.

·    Create survey schedules and questionnaires and manage field data teams (if necessary)

·    Organize and clean datasets gathered by operations teams

·    Analyze the data using various tools and soft wares.

·    Produce meaningful insights from the project data.

·    Write rigorous reports and policy briefs using the data and field insights.

·    Provide research and policy outputs.

Specific Responsibilities

·    Collecting data:  Sourcing data from various internal and external sources, including databases, surveys, logs, and APIs.

·    Cleaning and pre-processing data:  Identifying and correcting data inconsistencies, errors, and missing values to ensure accuracy and completeness.

·    Transforming data:  Manipulating data using tools like  pandas and SQL to structure it for analysis.

Data Analysis and Modeling:

• Exploratory data analysis (EDA):  Analyzing data to understand its distribution, patterns, and relationships between variables.
  
• Statistical analysis:  Applying statistical methods and tools to identify trends, correlations, and significant differences.
  
• Modeling:  Building predictive models using techniques like regression and machine learning to forecast future outcomes.
  

·    Creating visualizations:  Designing charts, graphs, and dashboards to communicate data insights clearly and effectively to technical and non-technical audiences.

·    Report generation:  Writing reports summarizing findings, interpretations, and recommendations based on data analysis.

·    Presenting insights:  Presenting findings to stakeholders in a clear, concise, and compelling manner.

Other

• Data Validation: Ensure data integrity by validating, cross-checking and cleaning the data as needed
  
• Data Maintenance and Optimization: Responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes
  
• User feedback analysis: Engage with the operations teams to integrate feedback, driving continuous improvement in data visualisation and utility
  

·    Any other assignment given by the senior management

Desirable skills and qualifications

·    Masters in data science/statistics/economics with 5-10 years of experience working on primary and secondary datasets with prior experience of data analytics and report writing roles

·    Research oriented focus.

·    Understanding of statistical concepts

·    Understanding of data science and analysis principles

·    Analytical skills in picking out and understanding key insights from the data

·    Documentation and project management skills

·    Excellent communication and leadership skills to deliver data-driven insights at an executive level

·    Having knowledge of India’s Economy and its challenges.

·    Capable of handling large primary datasets / experience working with primary agriculture datasets.

·    Knowledge of various data analysis tools like R or Stata.

·    Proficiency in SQL and programming skills in Python or R

·    Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards

·    Well versed with data visualization techniques and soft wares.

·    Embody BYST’s mission, vision, and values