Job Description

Go through a faster and more convenient recruitment process today and be part of one of the biggest and most stable organizations in the world!Duties and Responsibilities:

• Creating, maintaining, and publishing dashboards and storyboards with Tableau, Power BI or anything similar
• Cleansing data and automating the process if needed
• Training and mentoring junior analysts and associates

Qualifications:

• Bachelor's degree holder
• At least 2 years' worth of Analytics/Data Science experience with a background in BPO
• Must have hands on experience in R Programming and Python
• Intermediate level in data visualization and business intelligence tools such as Tableau, Power BI or anything similar
• Knowledge in Python is preferred
• Intermediate level in database management, such as MS Access or SQL

How to apply?

• Click on "Apply Now" to submit your application and upload your updated resume.
• In adherence to Accenture's process of Identity Verification, your resume or CV must include your photo to ensure the accuracy of your application and during your interviews, a snapshot of your image will be captured for the same purpose.
• For faster processing of your application, please make sure to have your latest NBI clearance ready. For successful candidates who worked with previous employers, please prepare your approved resignation letter, SSS employment history and Statement of Account. Your recruiters will also remind you of other requirements you can prepare ahead of time.

Why join Accenture?

• Competitive salary package, company bonuses, and performance incentives
• Night differential
• Loyalty, Christmas gift, Inclusion and diversity benefits
• Paid sick and vacation leaves
• Expanded maternity leave up to 120 days*
• HMO coverage (medical and dental) from day 1 of employment
• Life insurance
• Employee stock purchase plan
• Retirement plan
• Accessible locations
• Healthy and encouraging work environment
• Career growth and promotion opportunities

*Terms and conditions apply.Job Type: Full-timeExperience:

• Data Analytics: 2 years (Preferred)