10,787 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.

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

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