Manager - Data Analytics - Deals Strategy & Operation
Jakarta - Gd. WTC 3
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Financial Due DiligenceManagement Level
ManagerJob Description & Summary
A career in our Deals Strategy and Operation practice, within Deals Transaction Services, will provide you with the opportunity to help the team build, develop, manage and run strategic capacity which will undoubtedly benefit both PwC and our clients. As an indispensable part of the team, you will cooperate with other business units to boost strategic capacity in the team and stay close connection with clients to better meet their demands. In short, you are expected to strengthen the bond and establish mutual understanding between PwC and our clients through releasing every team members’ potential abilities and generating remarkable business value for the clients.To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
- Develop new skills outside of comfort zone.
- Act to resolve issues which prevent the team working effectively.
- Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
- Analyse complex ideas or proposals and build a range of meaningful recommendations.
- Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
- Address sub-standard work or work that does not meet firm's/client's expectations.
- Use data and insights to inform conclusions and support decision-making.
- Develop a point of view on key global trends, and how they impact clients.
- Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
- Simplify complex messages, highlighting and summarising key points.
- Uphold the firm's code of ethics and business conduct.
Job description Data Analytics
Leverage data analytics technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Work effectively cross engagement team members in analyzing data into obtaining business insights and research outcomes.
Manage work streams and project deliverables with other team members.
Build strong internal relationships within Advisory services with other services across organizations.
Preferred skills Data Analytics
Good understanding of statistical modeling, decision modeling, machine learning and deep learning techniques such as regression, classification, clustering, etc.
Analytical and problem-solving skills combined with experience in leveraging data analytics to drive insights and business decisions.
Experience and familiarity in the following analytics and visualization tools such as: R, Python, Power BI or equivalent.
Comfortable with ambiguity and applying creativity to solve complex problems.
Demonstrated ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process.
Readiness to learn and eagerness to grow, not only in technical but also business acumen
Strong attention to details and ability to multitask.
Team player with good communication skills.
Preferably, have a certification related to Data Analytics.
Additional Skills
Technically inclined while being business focused and self-driven to keep up-to-date with the latest technologies.
Ability to articulate analytical findings to less-technical business-savvy audiences.
Good problem solving skills, can work with confidence unsupervised, and able to manage multiple concurrent work streams.
Team player with good communication skills.
Highly pragmatic, using technology to solve problems expediently.
Ability to tactfully challenge in discussion without alienating.
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)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 40%Available for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Clustering Data Analytics Deep Learning Machine Learning Power BI Python R Research Statistical modeling Statistics
Perks/benefits: Career development
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