Associate Consultant - Data Analytics
Bengaluru, Karnataka, India
KPMG India
KPMG is a global network of professional firms providing Audit, Tax and Advisory services.Role Description:
This role requires a professional with expertise in technical skills (Power BI, Alteryx & Advanced excel) to analyze and interpret complex data, perform automations as necessary, along with visualizing the final output in the form of a business report with clear, actionable insights. This role will involve working on different reports or requests from stakeholders/leads and will require business acumen.
Key Responsibilities:
- Business Intelligence, Data Analytics, & Visualization:
- Leverage data analysis and visualization tools such as Power BI and Alteryx to extract, transform, and load data from multiple sources for reporting and analysis purposes.
- Develop interactive and insightful dashboards and reports using Power BI to effectively communicate data-driven insights to stakeholders.
- Leverage Alteryx platform to perform advanced data blending and design automation frameworks.
- Collaborate with cross-functional teams to understand their data requirements and provide tailored solutions through Power BI and Alteryx.
- Apply DAX (Data Analysis Expressions) and M (Power Query Formula Language) for data modeling, calculations, and transforming raw data into meaningful insights within Power BI.
- Provide training and support to end users in utilizing Power BI and Alteryx for self-service analytics, fostering a data-driven culture within the organization.
- Collect, clean, and process data from diverse sources to ensure data quality and integrity.
- Summarize findings into actionable insights and effectively communicate them to relevant stakeholders through reports or presentations.
- Identify and resolve any issues or errors in the data analysis process to maintain accuracy and reliability.
- Develop process flows or maps to depict the data analysis workflow and collaborate with stakeholders for effective implementation.
- AI-Powered Optimization:
- Utilize Generative AI and Advisory GPT technologies to identify key trends and insights in data analysis, enabling data-driven decision-making.
- Leverage GPT to develop automated solutions for reporting, streamlining, and automating the data reporting process.
- Create standardized prompts using GPT for facilitating team use in data analysis, summarization, and presentation, enhancing efficiency and consistency in data-related tasks.
- Stay updated on advancements in Generative AI and GPT technologies to continuously improve data analysis and reporting capabilities.
- Stakeholder Management:
- Identify stakeholder needs and expectations, effectively communicate with them, and ensure timely delivery of requested outcomes.
- Establish strong relationships with stakeholders, addressing their concerns and ensuring their satisfaction with deliverables.
- Team coordination and management:
- Encourage open communication and collaboration among team members, facilitating knowledge sharing and problem-solving.
Role Expectations:
- On-time delivery: Ensure tasks and projects are completed on time and meet stakeholder expectations.
- Eager to perform: Demonstrate a proactive and results-driven attitude in fulfilling job responsibilities.
- Good technical skills and ability to work on parallel reports: Develop reports by analyzing complex data sets, identify and report Key Performance Indicators (KPIs) based on requirements captured through discussions. Demonstrate ability to work on multiple reports in parallel.
- Excellent communication skills: Communicate effectively with team members, stakeholders across different time zones.
- Able to overlap with US time zone: Willingness to adjust working hours as needed to collaborate effectively with US counterparts and cross- functional teams.
Qualifications:
- Bachelor's degree in a related field, such as Data & Analytics, Computer Science, or Information Technology.
- Excellent stakeholder management skills, including active listening and effective communication.
- Strong critical thinking skills, able to adapt to ambiguous situations and continuously evolving requirements.
- Extensive understanding of data transformation, data workflow and cleaning techniques.
- Understanding of AI-driven solution implementation for resource optimization, task automation, and data analytics.
- Ability to utilize business intelligence to drive strategic direction and operational efficiency.
Technical skills:
- Required : Power BI, Alteryx & Advanced excel
- Good-to-have: Power Apps, any project management tool
Role Description:
This role requires a professional with expertise in technical skills (Power BI, Alteryx & Advanced excel) to analyze and interpret complex data, perform automations as necessary, along with visualizing the final output in the form of a business report with clear, actionable insights. This role will involve working on different reports or requests from stakeholders/leads and will require business acumen.
Key Responsibilities:
- Business Intelligence, Data Analytics, & Visualization:
- Leverage data analysis and visualization tools such as Power BI and Alteryx to extract, transform, and load data from multiple sources for reporting and analysis purposes.
- Develop interactive and insightful dashboards and reports using Power BI to effectively communicate data-driven insights to stakeholders.
- Leverage Alteryx platform to perform advanced data blending and design automation frameworks.
- Collaborate with cross-functional teams to understand their data requirements and provide tailored solutions through Power BI and Alteryx.
- Apply DAX (Data Analysis Expressions) and M (Power Query Formula Language) for data modeling, calculations, and transforming raw data into meaningful insights within Power BI.
- Provide training and support to end users in utilizing Power BI and Alteryx for self-service analytics, fostering a data-driven culture within the organization.
- Collect, clean, and process data from diverse sources to ensure data quality and integrity.
- Summarize findings into actionable insights and effectively communicate them to relevant stakeholders through reports or presentations.
- Identify and resolve any issues or errors in the data analysis process to maintain accuracy and reliability.
- Develop process flows or maps to depict the data analysis workflow and collaborate with stakeholders for effective implementation.
- AI-Powered Optimization:
- Utilize Generative AI and Advisory GPT technologies to identify key trends and insights in data analysis, enabling data-driven decision-making.
- Leverage GPT to develop automated solutions for reporting, streamlining, and automating the data reporting process.
- Create standardized prompts using GPT for facilitating team use in data analysis, summarization, and presentation, enhancing efficiency and consistency in data-related tasks.
- Stay updated on advancements in Generative AI and GPT technologies to continuously improve data analysis and reporting capabilities.
- Stakeholder Management:
- Identify stakeholder needs and expectations, effectively communicate with them, and ensure timely delivery of requested outcomes.
- Establish strong relationships with stakeholders, addressing their concerns and ensuring their satisfaction with deliverables.
- Team coordination and management:
- Encourage open communication and collaboration among team members, facilitating knowledge sharing and problem-solving.
Role Expectations:
- On-time delivery: Ensure tasks and projects are completed on time and meet stakeholder expectations.
- Eager to perform: Demonstrate a proactive and results-driven attitude in fulfilling job responsibilities.
- Good technical skills and ability to work on parallel reports: Develop reports by analyzing complex data sets, identify and report Key Performance Indicators (KPIs) based on requirements captured through discussions. Demonstrate ability to work on multiple reports in parallel.
- Excellent communication skills: Communicate effectively with team members, stakeholders across different time zones.
- Able to overlap with US time zone: Willingness to adjust working hours as needed to collaborate effectively with US counterparts and cross- functional teams.
Qualifications:
- Bachelor's degree in a related field, such as Data & Analytics, Computer Science, or Information Technology.
- Excellent stakeholder management skills, including active listening and effective communication.
- Strong critical thinking skills, able to adapt to ambiguous situations and continuously evolving requirements.
- Extensive understanding of data transformation, data workflow and cleaning techniques.
- Understanding of AI-driven solution implementation for resource optimization, task automation, and data analytics.
- Ability to utilize business intelligence to drive strategic direction and operational efficiency.
Technical skills:
- Required : Power BI, Alteryx & Advanced excel
- Good-to-have: Power Apps, any project management tool
Role Description:
This role requires a professional with expertise in technical skills (Power BI, Alteryx & Advanced excel) to analyze and interpret complex data, perform automations as necessary, along with visualizing the final output in the form of a business report with clear, actionable insights. This role will involve working on different reports or requests from stakeholders/leads and will require business acumen.
Key Responsibilities:
- Business Intelligence, Data Analytics, & Visualization:
- Leverage data analysis and visualization tools such as Power BI and Alteryx to extract, transform, and load data from multiple sources for reporting and analysis purposes.
- Develop interactive and insightful dashboards and reports using Power BI to effectively communicate data-driven insights to stakeholders.
- Leverage Alteryx platform to perform advanced data blending and design automation frameworks.
- Collaborate with cross-functional teams to understand their data requirements and provide tailored solutions through Power BI and Alteryx.
- Apply DAX (Data Analysis Expressions) and M (Power Query Formula Language) for data modeling, calculations, and transforming raw data into meaningful insights within Power BI.
- Provide training and support to end users in utilizing Power BI and Alteryx for self-service analytics, fostering a data-driven culture within the organization.
- Collect, clean, and process data from diverse sources to ensure data quality and integrity.
- Summarize findings into actionable insights and effectively communicate them to relevant stakeholders through reports or presentations.
- Identify and resolve any issues or errors in the data analysis process to maintain accuracy and reliability.
- Develop process flows or maps to depict the data analysis workflow and collaborate with stakeholders for effective implementation.
- AI-Powered Optimization:
- Utilize Generative AI and Advisory GPT technologies to identify key trends and insights in data analysis, enabling data-driven decision-making.
- Leverage GPT to develop automated solutions for reporting, streamlining, and automating the data reporting process.
- Create standardized prompts using GPT for facilitating team use in data analysis, summarization, and presentation, enhancing efficiency and consistency in data-related tasks.
- Stay updated on advancements in Generative AI and GPT technologies to continuously improve data analysis and reporting capabilities.
- Stakeholder Management:
- Identify stakeholder needs and expectations, effectively communicate with them, and ensure timely delivery of requested outcomes.
- Establish strong relationships with stakeholders, addressing their concerns and ensuring their satisfaction with deliverables.
- Team coordination and management:
- Encourage open communication and collaboration among team members, facilitating knowledge sharing and problem-solving.
Role Expectations:
- On-time delivery: Ensure tasks and projects are completed on time and meet stakeholder expectations.
- Eager to perform: Demonstrate a proactive and results-driven attitude in fulfilling job responsibilities.
- Good technical skills and ability to work on parallel reports: Develop reports by analyzing complex data sets, identify and report Key Performance Indicators (KPIs) based on requirements captured through discussions. Demonstrate ability to work on multiple reports in parallel.
- Excellent communication skills: Communicate effectively with team members, stakeholders across different time zones.
- Able to overlap with US time zone: Willingness to adjust working hours as needed to collaborate effectively with US counterparts and cross- functional teams.
Qualifications:
- Bachelor's degree in a related field, such as Data & Analytics, Computer Science, or Information Technology.
- Excellent stakeholder management skills, including active listening and effective communication.
- Strong critical thinking skills, able to adapt to ambiguous situations and continuously evolving requirements.
- Extensive understanding of data transformation, data workflow and cleaning techniques.
- Understanding of AI-driven solution implementation for resource optimization, task automation, and data analytics.
- Ability to utilize business intelligence to drive strategic direction and operational efficiency.
Technical skills:
- Required : Power BI, Alteryx & Advanced excel
- Good-to-have: Power Apps, any project management tool
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data analysis Data Analytics Data quality Excel Generative AI GPT KPIs Power BI
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Lead Data Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Azure Data Engineer jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Engineer III jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Privacy-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Deep Learning-related jobs
- Open TensorFlow-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Hadoop-related jobs