12,046 Senior Data Analysts jobs in India

**Job Description: Senior Data Analyst**
Location: Hyderabad, IN - Work from Office
Experience: 7+ Years
**Role Summary**
We are seeking an experienced and highly skilled Senior Data Analyst to join our team. The ideal candidate will possess a deep proficiency in SQL, a strong understanding of data architecture, and a working knowledge of the Google Cloud platform (GCP)based ecosystem. They will be responsible for turning complex business questions into actionable insights, driving strategic decisions, and helping shape the future of our Product/Operations team. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to partner effectively with engineering, product, and business leaders.
**Key Responsibilities**
+ **Advanced Data Analysis:** Utilize advanced SQL skills to query, analyze, and manipulate large, complex datasets. Develop and maintain robust, scalable dashboards and reports to monitor key performance indicators (KPIs).
+ **Source Code management** : Proven ability to effectively manage, version, and collaborate on code using codebase management systems like GitHub. Responsible for upholding data integrity, producing reproducible analyses, and fostering a collaborative database management environment through best practices in version control and code documentation.
+ **Strategic Insights:** Partner with product managers and business stakeholders to define and answer critical business questions. Conduct deep-dive analyses to identify trends, opportunities, and root causes of performance changes.
+ **Data Architecture & Management:** Work closely with data engineers to design, maintain, and optimize data schemas and pipelines. Provide guidance on data modeling best practices and ensure data integrity and quality.
+ **Reporting & Communication:** Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences. Present insights and recommendations to senior leadership to influence strategic decision-making.
+ **Project Leadership:** Lead analytical projects from end to end, including defining project scope, methodology, and deliverables. Mentor junior analysts, fostering a culture of curiosity and data-driven problem-solving.
**Required Skills & Experience**
+ Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
+ 5+ years of professional experience in a data analysis or business intelligence role.
+ **Expert-level proficiency in SQL** with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets.
+ **Strong understanding of data architecture,** including data warehousing, data modeling (e.g., star/snowflake schemas), and ETL/ELT principles.
+ Excellent communication and interpersonal skills, with a track record of successfully influencing stakeholders.
+ Experience with a business intelligence tool such as **Tableau, Looker, or Power BI** to create dashboards and visualizations.
+ Experience with internal Google/Alphabet data tools and infrastructure, such as **BigQuery, Dremel, or Google-internal data portals.**
+ Experience with statistical analysis, A/B testing, and experimental design.
+ Familiarity with machine learning concepts and their application in a business context.
+ A strong sense of curiosity and a passion for finding and communicating insights from data.
+ Proficiency with scripting languages for data analysis (e.g., **App scripting** , **Python or R** ) would be an added advantage
**Responsibilities**
+ Lead a team of data scientists and analysts to deliver data-driven insights and solutions.
+ Oversee the development and implementation of data models and algorithms to support new product development.
+ Provide strategic direction for data science projects ensuring alignment with business goals.
+ Collaborate with cross-functional teams to integrate data science solutions into business processes.
+ Analyze complex datasets to identify trends and patterns that inform business decisions.
+ Utilize generative AI techniques to develop innovative solutions for product development.
+ Ensure adherence to ITIL V4 practices in all data science projects.
+ Develop and maintain documentation for data science processes and methodologies.
+ Mentor and guide team members to enhance their technical and analytical skills.
+ Monitor project progress and adjust strategies to meet deadlines and objectives.
+ Communicate findings and recommendations to stakeholders in a clear and concise manner.
+ Drive continuous improvement in data science practices and methodologies.
+ Foster a culture of innovation and collaboration within the data science team.
**Qualifications**
+ Possess strong experience in business analysis and data analysis.
+ Demonstrate expertise in generative AI and its applications in product development.
+ Have a solid understanding of ITIL V4 practices and their implementation.
+ Exhibit excellent communication and collaboration skills.
+ Show proficiency in managing and leading a team of data professionals.
+ Display a commitment to working from the office during day shifts.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Statistical Analysis
**What does a successful Specialist, Statistical Analysis do at Fiserv?**
Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What you will do:**
+ Drive new business engagements with clients and grow existing client engagements.
+ Liaison with the client to understand business problem, processes, and implementation challenge.
+ Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.
+ Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.
+ Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.
+ Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.
+ Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.
+ Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.
+ Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification.
+ 5-8 years of experience in solving business problems by applying advanced statistics.
+ Expertise in developing business presentations.
+ Strong analytical and problem-solving skills.
+ Excellent communication skills, both verbal and written.
**What would be great to have:**
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Solid understanding hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Professional, Statistical Analysis
**What Does a great Analytics Professional do at Fiserv?**
Fiserv is looking for a talented analytical professional who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What will you do:**
+ Deep dive data analysis, detect patterns in data and present analysis to business
+ Work with business for requirements gathering and building analytical solution
+ Understand business drivers and how data is used to inform and drive decisions and behaviors.
+ Conducting complex analysis using statistical and other quantitative techniques.
+ Work with large volumes of data and apply ML techniques towards solving business problems
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Applying statistical methods & techniques for problem solving
+ Ensure timely delivery of the project
+ Results are oriented towards excellent communication and interpersonal skills.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
+ Effective communication stakeholders.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification
+ 3-5 years of experience in solving business problems by applying advanced statistics.
+ Hands-on experience of statistical tools like Python and R.
+ Expertise in Python with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Hands-on experience with machine learning frameworks along with solid understanding of statistical modeling, hypothesis testing, and experimental design.
**What would be nice to have:**
+ Good to have analysis using Cloud databases like Snowflake and Azure.
+ Knowledge of GenAI and its usage.
+ Good to have banking and Payment domain.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/09/2025 End Date 09/30/2025 City Bengaluru State/Region Karnataka Country India Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Specialist, Statistical Analysis

What does a successful Specialist, Statistical Analysis do at Fiserv?

Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.

What you will do:

Drive new business engagements with clients and grow existing client engagements.

Liaison with the client to understand business problem, processes, and implementation challenge.

Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.

Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.

Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.

Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.

Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.

Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.

Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.

Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.

What you will need to have:

Bachelor’s degree in Statistics/mathematics or equivalent qualification.

5-8 years of experience in solving business problems by applying advanced statistics.

Expertise in developing business presentations.

Strong analytical and problem-solving skills.

Excellent communication skills, both verbal and written.

What would be great to have:

Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Solid understanding hypothesis testing, and validation methodologies.

Experience with data manipulation, feature engineering, and data preprocessing techniques.

Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.

Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/08/2025 End Date 09/22/2025 City Bengaluru State/Region Karnataka Country India Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Professional, Statistical Analysis

Requirements:

Necessary- Cash Advance/ banking/ Lending business understanding.

Necessary- Knowledge of market base sizing and portfolio analytics.

Data Analytics and univariate analytics using Excel, Python.

A/b testing of prices & strategies, elasticity of demand.

Good to have- understanding of marketing campaign framework and executions.

Eagerness to learn new software (like Palantir, Snowflake)

Excellent communication & Interpersonal skills.

Role & Responsibilities:

Portfolio Monitoring & reporting.

Analysis of total addressable market (TAM) and scope analysis.

Enhancing business rule engine and optimization of credit risk pipeline.

Ad hoc Campaign analysis and execution on need basis.

Conduct A/B price testing.

Maintain elaborate analysis and process documentation, update trackers.

Work closely with business/product team understand their need and provide the solutions.

Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.

Publish weekly MIS for Stakeholders summarizing current status of capabilities.

Technical Skills:

MS Excel (Must Have)

MS Powerpoint

SQL

Python

PySpark (Good to have)

PowerBI (Good to have)

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Overview

We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.

Key Responsibilities

• Perform comprehensive data quality checks and propose enhancements to existing processes
• Analyze and solve complex problems related to data quality in the Investment Banking domain
• Collaborate with cross-functional teams to ensure data integrity across various systems
• Support Business System Analysis ,Project Management, and Quality Assurance initiatives
• Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations
• Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
• Engage in extended testing areas, including End to End Performance Testing
• Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
• Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
• Perform Data Quality Assessments and audits to evaluate data quality
• Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
• Maintain detailed documentation of data quality processes and standards
• Create and present reports on data quality metrics and improvements to management

Required Skills

• Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
• Proficient in SQL, ETL and various data analysis tools
• Well-versed in Charles River IMS (CRD)and its functionalities
• Excellent analytical and problem-solving skills
• Experienced in quality assurance life cycles and testing methodologies
• Effective communicator, capable of engaging with both technical and non-technical stakeholders
• Detail-oriented, skilled in identifying and correcting data discrepancies and errors
• Strong analytical skills for examining data and recognizing patterns or issues
• Familiarity with Agile methodology and Atlassian tools is advantageous
• Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
• Knowledge in snowflake
• Problem-solving skills to devise solutions for enhancing data quality
• Excellent verbal and written communication abilities for collaborating with team members and stakeholders
• Self-motivated and proactive in identifying and resolving data quality issues
• Strong organizational skills and attention to detail
• Ability to work independently and as part of a team
• Eager to learn and adapt to new technologies and methodologies

Overview

We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.

Key Responsibilities

- Perform comprehensive data quality checks and propose enhancements to existing processes
- Analyze and solve complex problems related to data quality in the Investment Banking domain
- Collaborate with cross-functional teams to ensure data integrity across various systems
- Support Business System Analysis ,Project Management, and Quality Assurance initiatives
- Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations
- Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
- Engage in extended testing areas, including End to End Performance Testing
- Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
- Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
- Perform Data Quality Assessments and audits to evaluate data quality
- Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
- Maintain detailed documentation of data quality processes and standards
- Create and present reports on data quality metrics and improvements to management

Required Skills

- Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
- Proficient in SQL, ETL and various data analysis tools
- Well-versed in Charles River IMS (CRD)and its functionalities
- Excellent analytical and problem-solving skills
- Experienced in quality assurance life cycles and testing methodologies
- Effective communicator, capable of engaging with both technical and non-technical stakeholders
- Detail-oriented, skilled in identifying and correcting data discrepancies and errors
- Strong analytical skills for examining data and recognizing patterns or issues
- Familiarity with Agile methodology and Atlassian tools is advantageous
- Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
- Knowledge in snowflake
- Problem-solving skills to devise solutions for enhancing data quality
- Excellent verbal and written communication abilities for collaborating with team members and stakeholders
- Self-motivated and proactive in identifying and resolving data quality issues
- Strong organizational skills and attention to detail
- Ability to work independently and as part of a team
- Eager to learn and adapt to new technologies and methodologies

Overview

We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.

Key Responsibilities

• Perform comprehensive data quality checks and propose enhancements to existing processes
• Analyze and solve complex problems related to data quality in the Investment Banking domain
• Collaborate with cross-functional teams to ensure data integrity across various systems
• Support Business System Analysis ,Project Management, and Quality Assurance initiatives
• Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations
• Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
• Engage in extended testing areas, including End to End Performance Testing
• Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
• Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
• Perform Data Quality Assessments and audits to evaluate data quality
• Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
• Maintain detailed documentation of data quality processes and standards
• Create and present reports on data quality metrics and improvements to management

Required Skills

• Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
• Proficient in SQL, ETL and various data analysis tools
• Well-versed in Charles River IMS (CRD)and its functionalities
• Excellent analytical and problem-solving skills
• Experienced in quality assurance life cycles and testing methodologies
• Effective communicator, capable of engaging with both technical and non-technical stakeholders
• Detail-oriented, skilled in identifying and correcting data discrepancies and errors
• Strong analytical skills for examining data and recognizing patterns or issues
• Familiarity with Agile methodology and Atlassian tools is advantageous
• Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
• Knowledge in snowflake
• Problem-solving skills to devise solutions for enhancing data quality
• Excellent verbal and written communication abilities for collaborating with team members and stakeholders
• Self-motivated and proactive in identifying and resolving data quality issues
• Strong organizational skills and attention to detail
• Ability to work independently and as part of a team
• Eager to learn and adapt to new technologies and methodologies

Overview We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization. Key Responsibilities Perform comprehensive data quality checks and propose enhancements to existing processes Analyze and solve complex problems related to data quality in the Investment Banking domain Collaborate with cross-functional teams to ensure data integrity across various systems Support Business System Analysis , Project Management, and Quality Assurance initiatives Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis Engage in extended testing areas, including End to End Performance Testing Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality Continuously monitor data quality metrics and trends to pinpoint areas needing improvement Perform Data Quality Assessments and audits to evaluate data quality Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards Maintain detailed documentation of data quality processes and standards Create and present reports on data quality metrics and improvements to management Required Skills Strong expertise in investment banking, capital markets - Front, Middle and Back office operations Proficient in SQL, ETL and various data analysis tools Well-versed in Charles River IMS (CRD)and its functionalities Excellent analytical and problem-solving skills Experienced in quality assurance life cycles and testing methodologies Effective communicator, capable of engaging with both technical and non-technical stakeholders Detail-oriented, skilled in identifying and correcting data discrepancies and errors Strong analytical skills for examining data and recognizing patterns or issues Familiarity with Agile methodology and Atlassian tools is advantageous Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools Knowledge in snowflake Problem-solving skills to devise solutions for enhancing data quality Excellent verbal and written communication abilities for collaborating with team members and stakeholders Self-motivated and proactive in identifying and resolving data quality issues Strong organizational skills and attention to detail Ability to work independently and as part of a team Eager to learn and adapt to new technologies and methodologies