Business Architect
Bengaluru, Karnataka, India
Posted on Jun 22, 2026
Project Role : Business Architect
Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Data Analyst – JD
Summary:
A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
Key Responsibilities:
Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
Required Qualifications:
Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
0-5 years experience
Technical Skills:
Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
Strong skills in data manipulation and transformation using SQL.
Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
Proficiency in data visualization tools such as Power BI, Spotfire, Tableau.Data modeling techniques, data fluency and governance.
Proficiency in Oil & gas workflows and data types
Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal & external parties) across global teams and time zones.
Strong knowledge of Microsoft Azure Services & Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
Experience with SQL and data querying languages.
Experience with Python for data wrangling.
Strong analytical and problem-solving skills with attention to detail and accuracy
Fundamental knowledge of Information Risk Management (IRM).
Preferred Qualifications:
Microsoft Power BI Data Analyst certification (PL-300)
Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
15 years full time education
Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Data Analyst – JD
Summary:
A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
Key Responsibilities:
Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
Required Qualifications:
Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
0-5 years experience
Technical Skills:
Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
Strong skills in data manipulation and transformation using SQL.
Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
Proficiency in data visualization tools such as Power BI, Spotfire, Tableau.Data modeling techniques, data fluency and governance.
Proficiency in Oil & gas workflows and data types
Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal & external parties) across global teams and time zones.
Strong knowledge of Microsoft Azure Services & Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
Experience with SQL and data querying languages.
Experience with Python for data wrangling.
Strong analytical and problem-solving skills with attention to detail and accuracy
Fundamental knowledge of Information Risk Management (IRM).
Preferred Qualifications:
Microsoft Power BI Data Analyst certification (PL-300)
Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
15 years full time education
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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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