Accenture Work From Home Data Entry Jobs:
Accenture Work From Home Accenture gives far-off statistics access positions that allow personnel to do business from home, providing flexibility and comfort. These roles typically involve entering, updating, and verifying records in diverse structures and databases. Ideal applicants should have sturdy attention to elements, accurate typing speed, and basic know-how of facts to access software and gear. Prior revel in facts access or administrative duties is beneficial but now not continually required.
Accenture values performance and accuracy in facts management, making this an exceptional opportunity for people looking for a work-from-home job that balances productivity and existence integration. Employees can count on competitive salaries, access to training and improvement applications, and the risk of painting in a supportive, worldwide enterprise lifestyle.
- Company:- Accenture
- Salary:- Not Disclosed
- Job Type:- Full Time
- Experience:- Freshers can apply
- Qualification:- Graduate
- Accenture Work From Home Role Responsibilities:
– Team Alignment: Oversee and align a group of information scientists and research analysts to ensure they may be Accenture Work From Home centered on priority responsibilities or projects.
– Task Management: Maintain and prioritize a backlog of obligations, assign them to crew members, and frequently replace them to deal with new requests or ideas.
– Communication: Routinely talk with the undertaking lead, crew members, and stakeholders to provide updates on challenge repute, timelines, and any ability troubles or challenges.
– Efficiency Improvements: Recommend and put into effect improvements to optimize efficiency and pleasant by analyzing workflows and procedures.
– Analytical Opportunities: Continuously trying to find opportunities to apply current analytical strategies to cope with evolving business desires.
– Technical Application: Apply statistical, machine mastering, and NLP techniques to become aware of styles, extract meaningful insights, or increase new equipment or solutions for business stakeholders.
– Presentation of Findings: Accenture Work From Home Interpret and present findings to both technical and non-technical audiences in a clean and actionable manner.
– Gen AI Use Cases: Identify Generative AI use cases for the usage of diverse Accenture Work From Home LLMs and plan and lead pilot projects to explore their feasibility and fee.
– Solution Development: Develop Generative AI-based totally solutions or abilties in collaboration with go-purposeful groups, along with facts engineers and enterprise stakeholders.
– Data Compliance: Ensure information compliance with privacy guidelines and enforce records security features.
– Encouragement of Innovation: Encourage the team to assume creatively, stay up to date with emerging technology, and put in force great practices in evaluation.
– Stay Current: Stay present-day with today’s trends in data technological know-how and Generative AI.
Accenture Work From Home Qualifications:
Essential:
– Education: Bachelor’s degree in information technological know-how, pc engineering, engineering, or facts.
– Experience: At least eight years of professional experience in superior analytics, and a minimum of 4 years of revel in handling direct reports.
Preferred:
- – Advanced Degrees: Master’s or doctoral diploma in Data Science, MBA, or PMP certification.
- – Project Management: End-to-give-up analytics challenge management enjoy. Accenture Work From Home
- – Technical Skills: Proficiency in device studying or deep studying algorithms, and NLP techniques, and enjoy with Generative AI and LLMs. Accenture Work From Home
- – Visualization Tools: Knowledge of facts visualization gear such as Power BI or Qlik Sense.
- – Coding Skills: Experience in Python, SQL, and R.
- – Project Management Tools: Familiarity with assignment control gear like Monday.com.
- – Communication Skills: Strong oral and written English verbal exchange abilties.
- – Organizational Skills: Excellent time control, organizational, and interpersonal competencies.
- – Business Acumen: Strong commercial enterprise perception and attention to element.
- – Gen AI Solutions: Experience in growing Generative AI solutions using Azure OpenAI or Google PaLM2.
- – Production Environment: Experience in deploying and handling ML models in GCP production surroundings.
- – Survey Data Analysis: Experience with survey statistics evaluation using Qualtrics tools.
- – Domain Knowledge: Experience with Sales, Marketing, Pricing, or Finance records.
- – Salesforce Einstein Analytics: Working knowledge of Salesforce Einstein Analytics.
- – Power Applications: Experience operating with Power Applications.
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