key skills

analytics manager

Analytics Advisory Associate Manager

Location: Mandaluyong

RESPONSIBILITIES:

• Work with Finance key stakeholders to create and/or enhance the standard reporting capability for

Finance, which is responsible for developing and delivering a standard suite of reports that meet the

evolving needs of Finance and its customers

• Plan, coordinate and manage Application Releases and Integrated Release testing and support;

ensure resolution of upstream/downstream impacts to sustain tightly integrated solution.

• Analyze and design enhancements and new business processes. Ensure data accuracy and

business needs are met. Identify and define detailed product requirements and implement efficient

reporting solutions. Review and provide feedback to user stories related to Finance enhancements

and priorities.

• Act as Super User/End User support, reviewing and analyzing issues with Technology teams,

Process teams and Business Data Architecture team to confirm ownership of resolution. Review and

prioritize support items.

• Align or update security model, as appropriate, based on scope of changes. Manage security

related issues and coordinate across myAccess and technology capability teams to ensure

consistency and efficiency and occasionally perform periodic security cleanup.

• Closely collaborate with other Process teams and upstream applications to ensure coordination

and data accuracy across solutions.

• Manage the Mid-Month and Month-End Close process, resolving issues and supporting

communications. Also includes pre-close adjustments to Sales/Backlog and Rev/Costs and frequent

restatements of historical results to align year over year comparisons with Operating Model.

• Act as a liaison to Application and Infrastructure Technology teams.

SKILL AND QUALIFICATIONS:

1. At least 5 years experience in analytics; at least 3 years supervisory experience


2. Analytics experience in finance span is preferred. Open to other industries.


3. Familiar with SAP business reporting


4. Experience data visualization tools, i.e., Tableau or PowerBI are required


5. Experience in Python or R, preferred


6. Open to undergraduates with experience