Explore data analyst opportunities in 269 Data Analyst jobs in Noida
Junior Data Analyst - Business Intelligence
Posted today
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Job Description
Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data validation and ensure data accuracy.
- Conduct basic data analysis to identify trends and patterns.
- Support the development of reports and dashboards using BI tools.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior analysts on data-related projects.
- Document data sources, methodologies, and findings.
- Assist in ad-hoc data requests from different departments.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with SQL is a strong advantage.
- Basic understanding of statistical concepts.
- Eagerness to learn and adapt to new technologies.
- Good communication and teamwork abilities.
- Interest in business intelligence and data analysis.
Business / Data Analyst - Business Intelligence
Posted today
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Job Description
Key Responsibilities:
● Create and manage management reporting and funnel dashboards
● Undertake data reconciliation, explore data storage across stakeholders and own data availability
● Undertake analysis on various customer cohorts as self initiative and also as per management's requirement
● Identify customer insights and present it to management
● Use predictive modeling to optimize business outcomes.
Educational Qualifications:
-B.Tech/B.E in Select specialization , -B.Tech/B.E in Select specialization
Job Responsibilities:
● Good understanding of SQL, MS-Excel is must
● Have experience in Power BI, Tableau or related tools
● Working knowledge of Python would be added advantage
● MIS, SQL, Power BI, Python, data analysis
Educational Qualifications:
● 80% in 10th and 12th
● B.Tech/B.E (Any steam) with 60% or above marks
Skills Required
Power Bi, Excel, analytic reporting , 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
Company Description
Appinventiv is a leading global product development and digital transformation agency, specializing in mobile experiences through transformative technology. With a team of over 1500 mobile experts, we bridge the gap between ideas and reality for disruptive startups and Fortune companies. Recognized as the Best Place to Work 2022 and App Development Company of the Year 2020, our innovative work culture and focus on next-gen technologies drive our success and rapid growth.
Key responsibilities
Collect, clean, and analyze data from multiple sources to provide actionable insights.
Assist in developing and maintaining dashboards and reports to track key business metrics.
Work with cross-functional teams to understand their data needs and help optimize processes.
Prepare data-driven presentations and reports for stakeholders.
Support the data team in improving data quality, collection, and reporting processes.
Qualifications
- Strong proficiency in Excel and Google Sheets for data manipulation.
- 2-5 years of experience
- Basic knowledge of SQL and data visualization tools such as Power BI or Tableau.
- Analytical mindset with an ability to interpret data trends and patterns.
- Excellent communication skills and the ability to collaborate with different teams.
- A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Eagerness to learn and grow in a fast-paced tech environment.
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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.