16,009 Analytics Specialist jobs in India
Data Analytics Specialist

Posted 2 days ago
Job Viewed
Job Description
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.
Data Analytics Specialist.
Posted today
Job Viewed
Job Description
Data Analytics Specialist
Posted today
Job Viewed
Job Description
Tasks performed regularly which form the essential characteristics of the position.
Communication:
- Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
- Present and discuss data-driven observations and trends with management during closing meetings.
- Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
- Assist in preparing written reports that incorporate data analytics insights.
- Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
- Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
- Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
- Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
- Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
- Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
- Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
- Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
- Potentially assume further specific as well as ad-hoc responsibilities
- Support the periodic quality assessment process
- Conduct any audit process improvement related topics
- Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Skills Required
anomaly detection, Machine Learning, Power Bi, Idea, Python, Sql
Data Analytics Specialist
Posted today
Job Viewed
Job Description
Role: Data Analytics Specialist
Experience: 8+ years
Location: PAN India
Working Model: Hybrid
Notice Period Required: Immediate
Responsibilities:
- Develop, design, and manage interactive dashboards and reports using Spotfire and Tableau.
- Analyze complex data sets to derive actionable insights and support data-driven decision-making processes.
- Write and optimize advanced queries using SQL and PL/SQL for data extraction and transformation.
- Collaborate with cross-functional teams to understand business requirements and provide customized analytics solutions.
- Ensure data integrity, security, and consistency across various data sources and platforms.
- Monitor, troubleshoot, and resolve issues in analytics tools and data pipelines.
- Stay updated on the latest trends and technologies in data analytics and visualization.
Requirements:
- 8+ years of experience in data analytics, visualization, and database management.
- Expertise in Spotfire, Tableau, and other data visualization tools.
- Strong knowledge of SQL and PL/SQL with hands-on experience in complex query building.
- Experience in handling large datasets and creating scalable analytics solutions.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Skills Required
Sql, Pl/sql
Senior Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Are you passionate about driving strategic business outcomes through intelligent data solutions? Do you thrive in a dynamic, collaborative environment where you can architect and scale analytics solutions using Microsoft's cutting-edge technologies? Regulated Industries Security Team within the CISO organization is seeking a Senior Data Specialist to lead the development of scalable analytics and automation solutions that enhance security operations and compliance across regulated sectors. This role is ideal for a strategic thinker with deep expertise in Microsoft Fabric, Power Platform, Azure, and low-code technologies, who thrives in cross-functional environments and is passionate about driving measurable impact. Join us and be part of a mission-driven team securing critical infrastructure and regulated environments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ Architect and manage end-to-end data ecosystems using Microsoft Fabric, Azure Data Factory, and Power BI to support security and compliance workflows.
+ Lead automation initiatives using Power Automate, Power Apps, and Copilot Studio and low-code/no-code tools to reduce manual effort and improve operational efficiency.
+ Collaborate with engineering, compliance, and program management teams to align technical solutions with business objectives and drive transparency, and continuous delivery.
+ Develop and maintain ELT pipelines, dashboards, and reporting frameworks for various teams within the RI scope.
+ Administer Azure environments, coordinate sprint planning, and manage production support queues through tools like S360 and ADO to ensure high system availability and stakeholder satisfaction.
+ Develop world-class dashboards and analytical models that provide visibility to top leadership, empowering faster, more informed decisions.
+ Mentor junior engineers and foster a culture of innovation and continuous improvement.
**Qualifications**
- 6+ years of experience in data engineering, analytics, or automation roles.
- Proven expertise in Microsoft Fabric (Lakehouse, Data Activator, PySpark notebooks).
- Strong proficiency in Power BI, DAX, Power Query (M), and data visualization.
- Hands-on experience with Azure services: Synapse, SQL DB, Key Vault, Logic Apps, Event Hub, ADX, Log Analytics.
- Experience with Power Platform: Power Apps, Power Automate, Dataverse, Copilot Studio.
- Familiarity with GitHub Copilot and AI-assisted development.
- Strong understanding of dimensional data modelling (Kimball, Inmon).
- Excellent communication and stakeholder engagement skills.
**Preferred Qualifications:**
- Certifications: DP-700, DP-203, AZ-900, Certified ScrumMaster.
- Experience in regulated or security-focused environments.
- Background in Java or Python development.
- Knowledge of AI/ML concepts and their application in analytics.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Senior Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Are you passionate about driving strategic business outcomes through intelligent data solutions? Do you thrive in a dynamic, collaborative environment where you can architect and scale analytics solutions using Microsoft's cutting-edge technologies? Regulated Industries Security Team within the CISO organization is seeking a Senior Data Specialist to lead the development of scalable analytics and automation solutions that enhance security operations and compliance across regulated sectors. This role is ideal for a strategic thinker with deep expertise in Microsoft Fabric, Power Platform, Azure, and low-code technologies, who thrives in cross-functional environments and is passionate about driving measurable impact. Join us and be part of a mission-driven team securing critical infrastructure and regulated environments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ Architect and manage end-to-end data ecosystems using Microsoft Fabric, Azure Data Factory, and Power BI to support security and compliance workflows.
+ Lead automation initiatives using Power Automate, Power Apps, and Copilot Studio and low-code/no-code tools to reduce manual effort and improve operational efficiency.
+ Collaborate with engineering, compliance, and program management teams to align technical solutions with business objectives and drive transparency, and continuous delivery.
+ Develop and maintain ELT pipelines, dashboards, and reporting frameworks for various teams within the RI scope.
+ Administer Azure environments, coordinate sprint planning, and manage production support queues through tools like S360 and ADO to ensure high system availability and stakeholder satisfaction.
+ Develop world-class dashboards and analytical models that provide visibility to top leadership, empowering faster, more informed decisions.
+ Mentor junior engineers and foster a culture of innovation and continuous improvement.
**Qualifications**
- 6+ years of experience in data engineering, analytics, or automation roles.
- Proven expertise in Microsoft Fabric (Lakehouse, Data Activator, PySpark notebooks).
- Strong proficiency in Power BI, DAX, Power Query (M), and data visualization.
- Hands-on experience with Azure services: Synapse, SQL DB, Key Vault, Logic Apps, Event Hub, ADX, Log Analytics.
- Experience with Power Platform: Power Apps, Power Automate, Dataverse, Copilot Studio.
- Familiarity with GitHub Copilot and AI-assisted development.
- Strong understanding of dimensional data modelling (Kimball, Inmon).
- Excellent communication and stakeholder engagement skills.
**Preferred Qualifications:**
- Certifications: DP-700, DP-203, AZ-900, Certified ScrumMaster.
- Experience in regulated or security-focused environments.
- Background in Java or Python development.
- Knowledge of AI/ML concepts and their application in analytics.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Senior Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Are you passionate about driving strategic business outcomes through intelligent data solutions? Do you thrive in a dynamic, collaborative environment where you can architect and scale analytics solutions using Microsoft's cutting-edge technologies? Regulated Industries Security Team within the CISO organization is seeking a Senior Data Specialist to lead the development of scalable analytics and automation solutions that enhance security operations and compliance across regulated sectors. This role is ideal for a strategic thinker with deep expertise in Microsoft Fabric, Power Platform, Azure, and low-code technologies, who thrives in cross-functional environments and is passionate about driving measurable impact. Join us and be part of a mission-driven team securing critical infrastructure and regulated environments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ Architect and manage end-to-end data ecosystems using Microsoft Fabric, Azure Data Factory, and Power BI to support security and compliance workflows.
+ Lead automation initiatives using Power Automate, Power Apps, and Copilot Studio and low-code/no-code tools to reduce manual effort and improve operational efficiency.
+ Collaborate with engineering, compliance, and program management teams to align technical solutions with business objectives and drive transparency, and continuous delivery.
+ Develop and maintain ELT pipelines, dashboards, and reporting frameworks for various teams within the RI scope.
+ Administer Azure environments, coordinate sprint planning, and manage production support queues through tools like S360 and ADO to ensure high system availability and stakeholder satisfaction.
+ Develop world-class dashboards and analytical models that provide visibility to top leadership, empowering faster, more informed decisions.
+ Mentor junior engineers and foster a culture of innovation and continuous improvement.
**Qualifications**
- 6+ years of experience in data engineering, analytics, or automation roles.
- Proven expertise in Microsoft Fabric (Lakehouse, Data Activator, PySpark notebooks).
- Strong proficiency in Power BI, DAX, Power Query (M), and data visualization.
- Hands-on experience with Azure services: Synapse, SQL DB, Key Vault, Logic Apps, Event Hub, ADX, Log Analytics.
- Experience with Power Platform: Power Apps, Power Automate, Dataverse, Copilot Studio.
- Familiarity with GitHub Copilot and AI-assisted development.
- Strong understanding of dimensional data modelling (Kimball, Inmon).
- Excellent communication and stakeholder engagement skills.
**Preferred Qualifications:**
- Certifications: DP-700, DP-203, AZ-900, Certified ScrumMaster.
- Experience in regulated or security-focused environments.
- Background in Java or Python development.
- Knowledge of AI/ML concepts and their application in analytics.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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HR Data Analytics Specialist
Posted 4 days ago
Job Viewed
Job Description
Job Title: HR Data Analytics Specialist
Job Description:
We are seeking a detail-oriented and analytical HR Data Analytics Specialist to join our Human Resources team. The ideal candidate will leverage data-driven insights to support HR initiatives, optimize workforce planning, enhance employee engagement, and improve HR processes. This role requires a strong understanding of HR metrics, data analysis tools, and the ability to communicate findings effectively.
Key Responsibilities:
- Collect, analyze, and interpret HR data related to recruitment, onboarding, employee performance, retention, and engagement.
- Develop and maintain dashboards and reports to provide real-time insights into HR metrics.
- Support workforce planning and talent management strategies through data analysis.
- Identify trends, patterns, and areas for improvement within HR processes.
- Collaborate with HR and other departments to design data collection strategies and ensure data accuracy.
- Conduct predictive analytics for turnover, succession planning, and workforce optimization.
- Ensure data privacy, security, and compliance with legal regulations.
- Assist in the implementation of HR technology solutions and data management systems.
Qualifications:
- Bachelor’s degree in Human Resources, Data Science, Statistics, or a related field.
- Proven experience in HR analytics, data analysis, or a similar role.
- Proficiency in analytics tools such as Excel, Tableau, Power BI, or similar.
- Strong understanding of HR metrics, KPIs, and best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills to present complex data insights clearly.
- Knowledge of HRIS systems and data privacy regulations.
Preferred Skills:
- Experience with AI and machine learning applications in HR.
- Familiarity with payroll, benefits, and talent management systems.
- Certification in HR analytics or data analysis (e.g., HR Analytics Certification, SQL, etc.).
.
HR Data Analytics Specialist
Posted today
Job Viewed
Job Description
Job Title: HR Data Analytics Specialist
Job Description:
We are seeking a detail-oriented and analytical HR Data Analytics Specialist to join our Human Resources team. The ideal candidate will leverage data-driven insights to support HR initiatives, optimize workforce planning, enhance employee engagement, and improve HR processes. This role requires a strong understanding of HR metrics, data analysis tools, and the ability to communicate findings effectively.
Key Responsibilities:
- Collect, analyze, and interpret HR data related to recruitment, onboarding, employee performance, retention, and engagement.
- Develop and maintain dashboards and reports to provide real-time insights into HR metrics.
- Support workforce planning and talent management strategies through data analysis.
- Identify trends, patterns, and areas for improvement within HR processes.
- Collaborate with HR and other departments to design data collection strategies and ensure data accuracy.
- Conduct predictive analytics for turnover, succession planning, and workforce optimization.
- Ensure data privacy, security, and compliance with legal regulations.
- Assist in the implementation of HR technology solutions and data management systems.
Qualifications:
- Bachelor’s degree in Human Resources, Data Science, Statistics, or a related field.
- Proven experience in HR analytics, data analysis, or a similar role.
- Proficiency in analytics tools such as Excel, Tableau, Power BI, or similar.
- Strong understanding of HR metrics, KPIs, and best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills to present complex data insights clearly.
- Knowledge of HRIS systems and data privacy regulations.
Preferred Skills:
- Experience with AI and machine learning applications in HR.
- Familiarity with payroll, benefits, and talent management systems.
- Certification in HR analytics or data analysis (e.g., HR Analytics Certification, SQL, etc.).
.
HR Data Analytics Specialist
Posted 4 days ago
Job Viewed
Job Description
Job Description:
We are seeking a detail-oriented and analytical HR Data Analytics Specialist to join our Human Resources team. The ideal candidate will leverage data-driven insights to support HR initiatives, optimize workforce planning, enhance employee engagement, and improve HR processes. This role requires a strong understanding of HR metrics, data analysis tools, and the ability to communicate findings effectively.
Key Responsibilities:
Collect, analyze, and interpret HR data related to recruitment, onboarding, employee performance, retention, and engagement.
Develop and maintain dashboards and reports to provide real-time insights into HR metrics.
Support workforce planning and talent management strategies through data analysis.
Identify trends, patterns, and areas for improvement within HR processes.
Collaborate with HR and other departments to design data collection strategies and ensure data accuracy.
Conduct predictive analytics for turnover, succession planning, and workforce optimization.
Ensure data privacy, security, and compliance with legal regulations.
Assist in the implementation of HR technology solutions and data management systems.
Qualifications:
Bachelor’s degree in Human Resources, Data Science, Statistics, or a related field.
Proven experience in HR analytics, data analysis, or a similar role.
Proficiency in analytics tools such as Excel, Tableau, Power BI, or similar.
Strong understanding of HR metrics, KPIs, and best practices.
Excellent analytical, problem-solving, and critical thinking skills.
Effective communication and presentation skills to present complex data insights clearly.
Knowledge of HRIS systems and data privacy regulations.
Preferred Skills:
Experience with AI and machine learning applications in HR.
Familiarity with payroll, benefits, and talent management systems.
Certification in HR analytics or data analysis (e.g., HR Analytics Certification, SQL, etc.).