Assurance - Data Assurance - Manager - BLR

Recruiter
PRICEWATERHOUSECOOPERS SERVICE DELIVERY CENTER (KOLKATA) PRIVATE LIMITED
Location
Bangalore, Karnataka, India
Salary
Competitive salary
Posted
21 Jan 2021
Closes
24 Jan 2021
Ref
2989WD
Job role
Accountant
Sector
Digital
Experience level
Manager
Job Description & Summary
A career in our Assurance Service Delivery Centre is the natural extension of PwC's leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

Responsibilities

As a Manager, you'll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:
  • Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above
  • Be involved in the financial management of clients
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Contribute to the development of your own and team's technical acumen
  • Develop strategies to solve complex technical challenges
  • Assist in the management and delivering of large projects
  • Train, coach, and supervise staff
  • Keep up to date with local and national business and economic issues
  • Continue to develop internal relationships and your PwC brand


• Minimum 7-8 years of experience in an analytics-related role where the majority of your experience was in a business or consulting role (i.e. not an IT role).

• University degree in an analytics-related field of study.

• Experience working with business (non-technical) staff to understand, influence and translate their needs into a problem that can be solved using advanced analytics.

• Strong knowledge of the data mining process and applying common algorithms such as clustering, anomaly detection, classification and regression. Experience working with common unstructured data sources and a proven focus on adding value, not just using the latest technologies.

• Strong knowledge of analytical tools and languages such as SAS, ACL, SPSS, R, Python, Big Data tools (Spark, Hadoop etc).

• Knowledge of data visualization Techniques and proficiency in Tableau (or comparable data visualization tools).

• High-level understanding of audit and risk management.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Desired Languages (If blank, desired languages not specified)

Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date

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