Managing Consultant, Advisors – Performance Analytics
Há 9 horas
Managing Consultant, Advisors – Performance Analytics role at Mastercard. Mastercard Advisors provides data-driven insights to a diverse, global client base and combines traditional management consulting with Mastercard's data assets, platforms, and technologies.
OverviewAdvisors Client Services helps clients translate data into actionable insights and scalable analytics solutions. The Performance Analytics specialization designs, implements, and scales analytics solutions using qualitative and quantitative techniques to deliver clear recommendations and impactful narratives.
Responsibilities- Lead client engagements across a range of industries and problem statements.
- Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology to unlock client value.
- Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness.
- Lead teams to derive creative insights and sound business recommendations; deliver impactful client presentations; grow team members' skills and roles.
- Provide analytical and day-to-day project delivery leadership; foster a collaborative and inclusive environment for all levels.
- Collaborate with internal Mastercard stakeholders (e.g., Product, Business Development) to scope projects, develop solutions, and build the firm's intellectual capital.
- Provide on-the-job training, coaching, and mentorship to junior consultants.
Basic qualifications
- Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics.
- Experience coaching and managing teams across multiple projects.
- Experience managing key client relationships.
- Knowledge of business KPIs, financials, and organizational leadership.
- Ability to identify new business development opportunities and experience drafting proposals and scoping new opportunities.
- Analytical, interpretive, and problem-solving skills with the ability to analyze large data sets and synthesize findings.
- Experience with data analytics tools (e.g., Python, R, SQL, SAS); building and maintaining database structures; data visualization tools (e.g., Tableau, Power BI).
- Advanced Word, Excel, and PowerPoint skills.
- Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment.
- Effective communication in English and the local office language (if applicable).
- Eligibility to work in the country of application and ability to travel as required.
- Experience with Hadoop ecosystem and coding (Impala, Hive, PySpark).
- Experience generating new knowledge or creating innovative solutions for a firm.
- Relevant industry expertise.
- Master's degree with relevant specialization (e.g., advanced analytics, big data, mathematical discipline) – not required.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Human Resources
- Industries: Financial Services, IT Services and IT Consulting, Technology, Information and Internet
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