2,967 Data Analysis jobs in India

Azure developer : Position : Offshore Experience Level: 8-10 yearsKey Responsibilities & Requirements:1. Hands-on experience with Microsoft Fabric, including Lakehouse, Data Factory, and Synapse.2. Strong expertise in PySpark and Python for large-scale data processing and transformation.3. Deep knowledge of Azure data services (ADLS Gen2, Azure Databricks, Synapse, ADF, Azure SQL, etc.).4. Experience in designing, implementing, and optimizing end-to-end data pipelines on Azure.5. Understanding of Azure infrastructure setup (networking, security, and access management) is good to have.6. Healthcare domain knowledge is a plus but not mandatory. domain knowledge is a plus but not mandatory.

Job Overview:

The Data Analyst supports the development and implementation of data-driven models, focusing on statistical analysis and data visualization under the supervision of more experienced analysts, contributing to the team's innovative projects.

Job Responsibilities:

• Assist in the development of statistical models and algorithms, contributing to the design and implementation of data-driven solutions.
• Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives.
• Learn from and contribute to projects involving predictive analytics and business intelligence, gaining hands-on experience under the guidance of senior data analysts.
• Engage in continuous professional development, enhancing skills in Python, R, and related areas through training and practical experience.
• Collaborate with team members to ensure the effective implementation of data-driven solutions, participating in brainstorming sessions and project discussions.
• Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in data analysis, predictive analytics, and business intelligence.
• Experience in a data analyst role, demonstrating practical experience and strong programming skills in languages like Python and R.
• Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.
• Familiarity with data platforms such as Tableau is a bonus.

Skill Requirements:

• Solid understanding of statistical principles and practical experience in data analysis.
• Familiarity with data science and machine learning libraries in Python and R.
• Eagerness to learn advanced analytics and AI technologies, with a proactive approach to acquiring new knowledge and skills.
• Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
• Basic industry domain knowledge, with a willingness to deepen expertise and apply data analysis principles to solve real-world problems.
• Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

Program Associate is a crucial role in our organization. We are seeking an experienced professional to fill this position.

• This position requires excellent organizational and analytical skills, with proficiency in data analysis and reporting using various tools.

• The ideal candidate will be responsible for collecting and reporting data to support program monitoring and evaluation using G Suite applications.
• This includes creating dashboards and visualisations using Looker Studio or Power BI, as well as proficiently using Excel, Google Sheets, and dashboard creation tools.
• The successful candidate will also apply analytical skills to generate actionable insights, with knowledge of SQL, Python, or Apps Script a plus.
• Collaboration with cross-functional teams and managing stakeholders to ensure program success is also essential.
• Driving program implementation and supporting change management initiatives across departments will be key responsibilities of this role.
• Working effectively in dynamic environments handling ambiguity, multitasking, and high-pressure deadlines is critical.

• This role offers opportunities for growth and development within the organization.
• We provide a dynamic and supportive work environment that encourages teamwork and collaboration.

We are seeking a skilled Data Analysis Lead to support clinical trial data analysis and regulatory submissions.

• Author and validate document SAS programs, datasets, TFLs, macros, and good programming practices
• Develop and maintain R programs with hands-on experience in packages like Tidyverse and Admiral
• Create ADAM datasets using Admiral packages in R
• Read and write raw data across SAS and R platforms
• Conduct thorough debugging in the R console and use tools
• Review and approve clinical trial documents, dataset specifications, and TFL shells
• Identify and resolve data issues, outliers, and standards-related discrepancies
• Complete and review CDISC validation tool reports
• Stay updated on emerging CDISC standards, assess impacts, and ensure ongoing future trials
• Maintain proficiency in SAS awareness developments, programming tools, and standards
• Ensure study master file documents are audit-ready
• Serve as lead programmer for client accounts and projects, manage client expectations, and issue resolution
• Provide input and review project management documents
• Perform work in full compliance with applicable legislation, regulations, company policies, and procedures
• Actively contribute to internal client-study team meetings

To be successful in this role, you will need:

• A bachelor's or master's degree in statistics, computer science, or a related field
• Proven experience in SAS programming within clinical trials and pharmaceutical or CRO settings
• Strong hands-on experience in R programming with relevant packages
• Knowledge of CDISC standards, ADAM, SDTM, and regulatory submission requirements
• Excellent problem-solving, debugging, and data validation skills
• Strong communication skills for managing client interactions and cross-functional collaboration
• The ability to work independently and lead project teams

This role offers:

• Exposure to regulatory submissions and audit processes
• Experience as a lead programmer, managing timelines, deliverables, and client relationships

Data Analysis Expert

We are seeking a highly skilled Data Analysis Expert to fill this challenging role. The ideal candidate will have 7+ years of experience in data analysis, with strong expertise in data validation, testing, and accuracy.

Key Responsibilities:

• Design and implement efficient data models and ETL processes for data management.
• Develop and maintain high-quality SQL and PL/SQL scripts for data analysis and reporting.
• Collaborate with stakeholders to understand business requirements and create system requirement specifications.
• Review and provide feedback on design from developers to ensure best practices.
• Ensure all defects are identified and resolved through thorough retesting.

Requirements:

• Minimum 7+ years of experience in data analysis and related technologies.
• Strong experience in data validation, testing, and accuracy is essential.
• Minimum 7+ years of experience in SQL and PL/SQL programming languages.
• Familiarity with Master Data Management, preferably in the Customer domain.
• Excellent communication skills, with fluency in English and ability to communicate effectively with internal and external stakeholders.

This is an exciting opportunity to join our organization and contribute to the success of our projects. We offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.

Please submit your application, including your resume and a cover letter, to be considered for this challenging role.

The AI Automation Specialist plays a crucial role in managing, analyzing and maintaining data with precision. This involves combining coding expertise, business understanding, and analytical skills to build and improve internal tools and dashboards.

Data Analysis & Reporting:

• Perform comprehensive data analysis to identify trends, anomalies, and opportunities for process improvement.
• Develop and maintain recurring reports and dynamic dashboards using analytics & reporting software.

Key Responsibilities:

• Business Analysis: Translate business needs and requirements into technical specifications for data management and reporting solutions.
• Coding & Development:
• Basic Coding & HTML: Use basic coding skills (including HTML and potentially simple scripting languages) to build and maintain fundamental internal web-based reporting tools, dashboards, or process documentation pages.
• Software Development Support: Assist in the development, testing, and implementation of basic internal software tools related to data collection and reporting.
• Web Development: Perform minor updates and maintenance for internal data visualisation or reporting web interfaces.

Required Skills & Qualifications:

• Experience: Minimum of 1+ years of professional experience in a role requiring a combination of data handling, analysis, and basic programming.
• Technical Proficiency: Demonstrated experience with:

Coding in at least one scripting or programming language (e.g., Python, SQL, JavaScript).

Web development basics, including a solid understanding of HTML.

• Analytical Acumen: Exceptional analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data Management: Proven ability in efficient and accurate data management and high-volume data entry.
• Communication: Strong ability to communicate technical findings and data insights to non-technical stakeholders.

About Our Company

Aura Recruitment Solution is a growing offshore recruitment partner that connects global companies with top remote talent from India. We specialize in sourcing skilled professionals across tech, non-tech, and leadership roles, helping businesses scale efficiently and cost-effectively.

We are seeking a highly skilled Senior Technical Analyst to fill a key role in our organization.

This is an exceptional opportunity for a seasoned professional to leverage their expertise in data analysis, query databases, and perform data validations and testing.

Main Responsibilities:

• Conduct comprehensive data testing, validation, and accuracy reviews
• Develop test cases and scenarios, and perform regression testing to ensure high-quality results
• Document defects in a project management tool and collaborate with business stakeholders to understand requirements and create system specifications
• Review developer designs and provide feedback to ensure all defects are resolved and closed after retesting
• Communicate complex issues effectively using diagrams and visuals, and work under pressure to deliver on tight timelines

Requirements:

• Minimum 7 years of experience in Data Analysis
• Strong expertise in data validation, testing, and accuracy
• 7+ years of experience in SQL and PL/SQL
• Experience in Master Data Management, preferably in the Customer domain
• Excellent English communication skills and ability to collaborate with internal/external stakeholders

Prior Experience is a Plus:

• ETL Development experience
• Data Modeling experience

We are seeking a highly skilled Data Analysis Expert to join our team. As a key member of our data science group, you will be responsible for analyzing large datasets to identify trends and insights that drive business decisions.

• 7-8 years of experience in data analysis required.
• A strong proficiency in Apache PySpark is essential.
• Hands-on experience with Deep Learning Frameworks like TensorFlow or PyTorch is necessary.
• Advance SQL skills are crucial for data manipulation and analysis.
• Solid understanding of machine learning algorithms, model evaluation, and deployment is a must.

Key Responsibilities:

• Develop and deploy predictive models using machine learning algorithms.
• Analyze large datasets to identify trends and insights.
• Collaborate with cross-functional teams to drive business decisions.

Requirements:

• 7-8 years of experience in data analysis.
• Strong proficiency in Apache PySpark.
• Hands-on experience with Deep Learning Frameworks like TensorFlow or PyTorch.
• Advance SQL skills.
• Solid understanding of machine learning algorithms, model evaluation, and deployment.

This role is focused on delivering high-quality clinical trial data analysis and reporting solutions to pharmaceutical clients. As a Senior Statistical Programmer, you will be responsible for leveraging advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.

The ideal candidate will have a strong background in statistics, computer science, or mathematics, with at least 8 years of experience working with clinical trial data in the pharmaceutical industry. They will also possess excellent analytical and troubleshooting skills, as well as the ability to work effectively in a globally dispersed team environment.

• Performing data manipulation, analysis, and reporting of clinical trial data using SAS programming.
• Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures.
• Production and QC/validation programming.
• Generating complex ad-hoc reports utilizing raw data.
• Applying strong understanding/experience of efficacy analysis.
• Creating and reviewing submission documents and eCRTs.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for professional growth and development.
• A competitive salary and benefits package.

Qualifications:

• Bachelor's degree in statistics, computer science, mathematics, or related field.
• At least 8 years of SAS programming experience working with clinical trial data in the pharmaceutical industry.
• Strong analytical and troubleshooting skills.
• Ability to work effectively in a globally dispersed team environment.