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Tools in this posting

Python
SQL
BigQuery
Google Cloud (GCP)
Looker
Oracle
SQL Server

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Summary: As a Business Intelligence Engineer, a typical day involves developing and maintaining interfaces that transform data into actionable insights, supporting informed decision-making across the organization. This role includes migrating and deploying data solutions while ensuring the integration of robust security measures and data privacy protections. The position requires continuous collaboration with various teams to enhance knowledge engines and promote the adoption of data-driven strategies, fostering an environment where data is leveraged effectively to meet business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME. - Build dashboards, workflows, reports, scripts, validation routines, and reusable solution components. - Translate business requirements and analytical logic into technical specifications and working solutions. - Support automation of repetitive analytical or reporting tasks using Python or scripting approaches where appropriate. - Troubleshoot data, logic, workflow, performance, and dashboard issues. - Collaborate with techno-functional analysts, consultants, senior developers, and managers to clarify requirements and solution design. - Perform unit testing, peer review support, documentation, and production-readiness checks. - Ensure solutions are maintainable, scalable, documented, and aligned with internal delivery standards. - Support operational analytics across supply chain, inventory, spares, logistics, quality, procurement, planning, finance, and related domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server, Oracle Procedural Language Extensions to SQL (PLSQL). - Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL). - Strong SQL capability with experience working on large enterprise datasets. - Working knowledge of Python, preferably through Colab, for data processing, automation, or validation. - Experience with dashboards, workflows, reporting tools, BI concepts, and data validation. - Ability to understand analytical business logic and convert it into reliable technical solutions. - Familiarity with PLX or ability to learn internal analytics platforms quickly. - Exposure to BigQuery, Looker, Vertex, or other GCP tools is helpful but not mandatory. - Strong debugging, documentation, problem-solving, and collaboration skills. - Ability to work in an agile, stakeholder-facing analytics delivery environment.

Roles & Responsibilities: - Expected to perform independently and become an SME. - Build dashboards, workflows, reports, scripts, validation routines, and reusable solution components. - Translate business requirements and analytical logic into technical specifications and working solutions. - Support automation of repetitive analytical or reporting tasks using Python or scripting approaches where appropriate. - Troubleshoot data, logic, workflow, performance, and dashboard issues. - Collaborate with techno-functional analysts, consultants, senior developers, and managers to clarify requirements and solution design. - Perform unit testing, peer review support, documentation, and production-readiness checks. - Ensure solutions are maintainable, scalable, documented, and aligned with internal delivery standards. - Support operational analytics across supply chain, inventory, spares, logistics, quality, procurement, planning, finance, and related domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server, Oracle Procedural Language Extensions to SQL (PLSQL). - Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL). - Strong SQL capability with experience working on large enterprise datasets. - Working knowledge of Python, preferably through Colab, for data processing, automation, or validation. - Experience with dashboards, workflows, reporting tools, BI concepts, and data validation. - Ability to understand analytical business logic and convert it into reliable technical solutions. - Familiarity with PLX or ability to learn internal analytics platforms quickly. - Exposure to BigQuery, Looker, Vertex, or other GCP tools is helpful but not mandatory. - Strong debugging, documentation, problem-solving, and collaboration skills. - Ability to work in an agile, stakeholder-facing analytics delivery environment. Additional Information: - The candidate should have minimum 2 to 5 years of experience in analytics development, BI development, reporting automation, SQL development, or related roles. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server, Oracle Procedural Language Extensions to SQL (PLSQL). - Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL). - Strong SQL capability with experience working on large enterprise datasets. - Working knowledge of Python, preferably through Colab, for data processing, automation, or validation. - Experience with dashboards, workflows, reporting tools, BI concepts, and data validation. - Ability to understand analytical business logic and convert it into reliable technical solutions. - Familiarity with PLX or ability to learn internal analytics platforms quickly. - Exposure to BigQuery, Looker, Vertex, or other GCP tools is helpful but not mandatory. - Strong debugging, documentation, problem-solving, and collaboration skills. - Ability to work in an agile, stakeholder-facing analytics delivery environment. Additional Information: - The candidate should have minimum 2 to 5 years of experience in analytics development, BI development, reporting automation, SQL development, or related roles. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Project Role : BI Engineer Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection. Must have skills : Microsoft Power Business Intelligence (PBI), Google BigQuery Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Business Intelligence Engineer, a typical day involves developing and maintaining interfaces that transform data into actionable insights, supporting informed decision-making across the organization. This role includes migrating and deploying data solutions while ensuring the integration of robust security measures and data privacy protections. The position requires continuous collaboration with various teams to enhance knowledge engines and promote the adoption of data-driven strategies, fostering an environment where data is leveraged effectively to meet business objectives.

About Accenture

In the employer’s words · Read in context

Job description

View original posting ↗

Project Role : BI Engineer
Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection.
Must have skills : Microsoft Power Business Intelligence (PBI), Google BigQuery
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Business Intelligence Engineer, a typical day involves developing and maintaining interfaces that transform data into actionable insights, supporting informed decision-making across the organization. This role includes migrating and deploying data solutions while ensuring the integration of robust security measures and data privacy protections. The position requires continuous collaboration with various teams to enhance knowledge engines and promote the adoption of data-driven strategies, fostering an environment where data is leveraged effectively to meet business objectives.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Build dashboards, workflows, reports, scripts, validation routines, and reusable solution components.
- Translate business requirements and analytical logic into technical specifications and working solutions.
- Support automation of repetitive analytical or reporting tasks using Python or scripting approaches where appropriate.
- Troubleshoot data, logic, workflow, performance, and dashboard issues.
- Collaborate with techno-functional analysts, consultants, senior developers, and managers to clarify requirements and solution design.
- Perform unit testing, peer review support, documentation, and production-readiness checks.
- Ensure solutions are maintainable, scalable, documented, and aligned with internal delivery standards.
- Support operational analytics across supply chain, inventory, spares, logistics, quality, procurement, planning, finance, and related domains.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft SQL Server, Oracle Procedural Language Extensions to SQL (PLSQL).
- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL).
- Strong SQL capability with experience working on large enterprise datasets.
- Working knowledge of Python, preferably through Colab, for data processing, automation, or validation.
- Experience with dashboards, workflows, reporting tools, BI concepts, and data validation.
- Ability to understand analytical business logic and convert it into reliable technical solutions.
- Familiarity with PLX or ability to learn internal analytics platforms quickly.
- Exposure to BigQuery, Looker, Vertex, or other GCP tools is helpful but not mandatory.
- Strong debugging, documentation, problem-solving, and collaboration skills.
- Ability to work in an agile, stakeholder-facing analytics delivery environment.

Additional Information:
- The candidate should have minimum 2 to 5 years of experience in analytics development, BI development, reporting automation, SQL development, or related roles.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

About Accenture

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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.