190 Senior Data Analyst jobs in Noida
Data Analyst - Dashboards/PowerBI-Tableau/Data Visualization - Delhi
Posted today
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Job Description
A Data Analyst is expected to have experience in collection, processing, and performing statistical analysis on large datasets to uncover insights, trends, and patterns that inform business decisions. They work with cross-functional teams to translate data into actionable strategies.
Experience:
1. Minimum relevant experience: 5 years
2. Domain expertise in the industry (e.g., fintech, edtech/skilling, health-tech, e-commerce) is advantageous
Main responsibilities inter-alia include
1. Data Collection & Cleaning: Gather data from primary or secondary sources (databases, APIs, surveys); Clean and validate data to ensure accuracy, completeness, and consistency.
2. Data Analysis: Use statistical tools (Excel, SQL, R, Python) to interpret data sets; Identify trends, patterns, correlations, and outliers.
3. Reporting & Visualization: Create dashboards and visualizations using tools like Power BI, Tableau, or Excel; Develop reports to
present data-driven insights to stakeholders.
4. Business Support: Collaborate with business teams to understand their data needs; Recommend strategies to optimize business performance based on analysis.
5. Data Management: Maintain databases and data systems; Ensure data integrity , security, and compliance.
6. Continuous Improvement: Identify opportunities to automate repetitive data tasks; Stay updated with industry trends, tools, and best practices.
Required Skills
1. Proficiency in Excel, SQL, and at least one of Python/R
2. Experience with data visualization tools like Tableau, Power BI, Looker
3. Strong analytical and problem-solving skills
4. Ability to communicate complex results to non-technical stakeholders
5. Understanding of statistics and data modeling
Educational Qualification:
- Bachelors of engineering degree in Statistics, Mathematics, Computer Science, or a related field.
2. Advanced degrees or certifications in Data Analytics/Science are a plus
Skills Required
Power Bi, Tableau, Excel, Sql, Python
Data Analyst
Posted 3 days ago
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Job Description
KPI Data Analyst
Department: Technical Documentation : TSSC
Location: Anangpur, Faridabad
Budget: 10 - 12 LPA
Job Title: KPI Data Analyst
Experience: 3-5 years
Job Responsibilities:
- Collect, verify, and report Quality & Cost KPI data.
- MSTR Reporting and Reports (focus MSTR) are optimized and conform with corporate requirements and BU/BA individual requirements where possible.
- Quality KPIs and cost data is aquired, verified (format, plausibility, units, etc), transformed into target formats and uploaded to the central SQL database in regular intervals.
- Develop and maintain automation tools (C#, Python, SQL).
- Run reports in different systems (e.g. SAP, BW, Teamcenter, etc) in regular intervals to gather the raw data for the tasks mentioned above
Required Skills:
- Strong knowledge of C#, Python, SQL & SAP.
- Good skills in MS Excel & MS Office.
- Basic understanding of MicroStrategy (MSTR) is an advantage.
- Excellent English communication (spoken & written).
- Analytical mindset, problem-solving ability, and willingness to learn.
Data Analyst
Posted 3 days ago
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Job Description
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.
Data Analyst
Posted 4 days ago
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Job Description
Job Description for Data Analyst:
• Data collection and Analysis
• Conduct research to gather data on industry trends, market conditions, and competitor activity (their Tenders, Department and others)
• Use historical data to forecast potential outcomes, assess risks, and support decision-making processes.
• Exposure in checking Import and Export data on various websites.
• Scrutinizing information using data analysis tools
• Using advanced computerized models to extract data
• Collaborating with the heads of specialist departments in a company and defining data analysis goals
• Collecting and selecting both structured and unstructured data from internal and external sources
• Providing quality assurance of any data that has been imported
• Managing master data
• Developing data collection systems
• Removing any corrupt data
• Identifying and correcting errors in the data collection
• Creating reports based on analysis and presenting it to management
• Providing technical expertise in data storage structures Preferred Skills:
• Experience with tender management software and databases.
• Knowledge of financial modeling and cost analysis.
• Familiarity with market research techniques and methodologies
Data Analyst
Posted today
Job Viewed
Job Description
KPI Data Analyst
Department: Technical Documentation : TSSC
Location: Anangpur, Faridabad
Budget: 10 - 12 LPA
Job Title: KPI Data Analyst
Experience: 3-5 years
Job Responsibilities:
- Collect, verify, and report Quality & Cost KPI data.
- MSTR Reporting and Reports (focus MSTR) are optimized and conform with corporate requirements and BU/BA individual requirements where possible.
- Quality KPIs and cost data is aquired, verified (format, plausibility, units, etc), transformed into target formats and uploaded to the central SQL database in regular intervals.
- Develop and maintain automation tools (C#, Python, SQL).
- Run reports in different systems (e.g. SAP, BW, Teamcenter, etc) in regular intervals to gather the raw data for the tasks mentioned above
Required Skills:
- Strong knowledge of C#, Python, SQL & SAP.
- Good skills in MS Excel & MS Office.
- Basic understanding of MicroStrategy (MSTR) is an advantage.
- Excellent English communication (spoken & written).
- Analytical mindset, problem-solving ability, and willingness to learn.
Data Analyst
Posted today
Job Viewed
Job Description
Job Description for Data Analyst:
• Data collection and Analysis
• Conduct research to gather data on industry trends, market conditions, and competitor activity (their Tenders, Department and others)
• Use historical data to forecast potential outcomes, assess risks, and support decision-making processes.
• Exposure in checking Import and Export data on various websites.
• Scrutinizing information using data analysis tools
• Using advanced computerized models to extract data
• Collaborating with the heads of specialist departments in a company and defining data analysis goals
• Collecting and selecting both structured and unstructured data from internal and external sources
• Providing quality assurance of any data that has been imported
• Managing master data
• Developing data collection systems
• Removing any corrupt data
• Identifying and correcting errors in the data collection
• Creating reports based on analysis and presenting it to management
• Providing technical expertise in data storage structures Preferred Skills:
• Experience with tender management software and databases.
• Knowledge of financial modeling and cost analysis.
• Familiarity with market research techniques and methodologies
Data Analyst
Posted 1 day ago
Job Viewed
Job Description
We are seeking a highly business-savvy Data Analyst , dedicated to managing and optimizing the direct mail marketing performance for one of our three credit bureau partnerships.
In this role, you will own the end-to-end targeting and campaign selection process for your assigned bureau. Your primary goal is to ensure the right customers receive the right offers at the right time—driving response rates, conversion rates, loan volume, and profitability.
You will combine hands-on data analysis (SQL, Excel) with strategic business decision-making , requiring not only strong technical skills but also the ability to interpret historical performance in context, account for anomalies, and forecast future outcomes with confidence.
Key Responsibilities
Campaign Targeting & Selection
Pull and prepare data using SQL to identify target customers for direct mail campaigns.
Evaluate historical performance metrics such as response rate, approval rate, conversion rate, loan size, and payment performance.
Make informed selections for upcoming campaigns based on a combination of quantitative data and qualitative business context.
Performance Analysis & Optimization
Maintain and monitor performance metrics.
Identify and communicate trends, risks, and opportunities to stakeholders.
Recommend strategies to improve campaign performance and profitability.
Business Decision-Making
Use data-driven insights to directly influence credit policy and campaign execution.
Weigh trade-offs between targeting breadth, expected performance, and operational constraints.
Position Requirements
Mandatory:
Experience: Minimum 3 years in a consumer lending financial services company managing portfolio performance and making business-driven credit policy decisions.
Business Acumen: Proven track record of interpreting data within a business context to make high-impact decisions.
Technical Skills:
SQL – Proficiency in writing complex queries to extract and manipulate large datasets.
Excel – Advanced skills, including pivot tables, calculated fields, and data visualization.
Python – Ability to run underwriting (UW) and response rate models to score customer populations for direct mail targeting.
Analytical Skills: Ability to identify performance drivers, isolate anomalies, and develop actionable recommendations.
Communication: Strong verbal and written English skills for presenting findings to non-technical stakeholders.
Preferred/Plus Factors:
Experience with direct mail marketing in a financial services context.
Familiarity with credit bureau data and segmentation strategies.
Understanding of consumer credit products, including installment loans and lines of credit.
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Data Analyst
Posted 1 day ago
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Job Description
The Data Analyst will be responsible for analyzing complex data sets, creating data models, and generating meaningful insights. Tasks will include interpreting data, analyzing results using statistical techniques, implementing data collection systems, and other strategies that optimize statistical efficiency and quality. The Data Analyst will also communicate results and provide ongoing reports to stakeholders.
Qualifications
Analytical Skills and Data Analytics experience
Strong foundation in Statistics and Data Modeling
Excellent Communication skills for presenting data insights
Proficiency with data analytics tools and software such as SQL, Python, R
Ability to work independently and remotely
Bachelor's degree in Data Science, Statistics, Mathematics, or related field
Experience in the technology or education industry is a plus
Data Analyst
Posted 2 days ago
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Job Description
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.
About the Internship:
As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.
Key Responsibilities
As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include:
Data Collection & Processing
Gather data from various sources and databases
Clean and pre-process data to ensure quality and usability
Develop and maintain data pipelines
Implement data validation procedures and quality checks
Data Analysis & Modelling
Apply statistical methods to interpret datasets
Identify patterns, trends, and correlations in complex data
Develop predictive models and conduct hypothesis testing
Create data-driven solutions for business problems
Data Visualization & Reporting
Create interactive dashboards and visual reports
Develop compelling data visualizations to communicate findings
Present analytical insights to stakeholders
Automate regular reporting processes
Business Intelligence
Transform raw data into actionable business insights
Support decision-making processes with data-backed recommendations
Monitor key performance indicators and metrics
Identify opportunities for process optimization
Capstone Project
Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings
What You Will Learn
Practical experience with data analysis tools and techniques
Hands-on skills in data visualization and dashboard creation
Strong analytical and problem-solving abilities
Effective communication of technical findings to non-technical audiences
Knowledge of AI and machine learning applications in data analytics
Who Should Apply?
Student or fresh graduate from any academic discipline
Strong analytical and quantitative skills
Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
Interest in working with data and deriving insights
Willingness to self-learn and work in a fast-paced environment
Internship Details
Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.
Type: Unpaid