Data Analytics Manager at Flexi-Personnel

DUTIES AND RESPONSIBILITIES

Bring analytics into BAU

• Thought partner of use case squads on the ground.
• Use case squad member supporting across the different stages of a use case (managing process of defining impact & process of setting up implementation plans, etc.).
• Be the communication link between tech and business roles (ensuring all communications flow seamlessly).
• Responsible for following best practices in product management: MRD, PRD, defining user stories, and epics.
• Leverage data to draw insights and enhance daily decision-making (e.g. utilize GCR, market benchmarks, and market trends).
• Help colleagues best use data in their day-to-day work by improving their awareness of the data available and generating insights from data.

Surface ideas

• Develop a clear understanding of the business’s strategic needs.
• Prioritize the highest impact initiatives in alignment with the MAF strategy.
• Articulate business needs to the technical colleagues in order to find the best analytical solutions to address the problem.

Generating insights within a squad

• Identify and gather data from the business to be used for the use case analysis/modelling.
• Collaborate with squad members (e.g. business partners, data engineers, and data scientists)
• to solve and deliver the use case.
• Communicate the insights generated with appropriate recommendations to business stakeholders.

Delivering insights

• Escalate issues that will hinder the delivery of the use case.
• Ensure last mile execution based on the use case insights, collaborating with key stakeholders across the business and driving tool adoption.

Behavioral Competencies

• Understands business context and needs and generates and crystallizes ideas.
• Structures complex problems, leveraging analytics and business context in problem-solving.
• Demonstrates analytical savviness, with a proven ability to make data-driven decisions.
• Drives stakeholder alignment on complex issues, removing bottlenecks throughout the use case life cycle.
• Comfortable with ambiguity, developing MVPs in a “test and learn” environment.
• Communicates in a structured and synthesized manner.

Functional/Technical Competencies

• R, SAS, Advanced Excel, PowerPoint
• Analytics

QUALIFICATION, EXPERIENCE, SKILLS AND TRAITS

• Bachelor’s degree in Statistics, Mathematics, Analytics, Marketing, or a quantitative subject-related field.
• A Master’s Degree in Business Administration is preferred.
• Demonstrated high-level skills in management (experienced communicator, proven ability to build capacity and develop stakeholder engagement) of a large and complex organization.
• Analytics (Should be able to bridge the business and tech).
• Ability to deal with people from diverse backgrounds.

Minimum experience

• Minimum 6 years in a related managerial function.
• Preferably 2+ years in the retail business or closely related industry