Accenture Song needs a Marketing Data Analysis Manager to evaluate marketing use cases, review current data sources and approaches, and ensure optimal data asset utilization to activate key use cases and articulate their business value to clients.
Requirements
- Ability to analyze large, complex datasets and derive actionable insights.
- Deep understanding of marketing strategies, campaign measurement, and attribution models.
- Familiarity with SQL, data visualization tools (Tableau, Power BI), and cloud-based data solutions (Azure preferred).
- Knowledge of data governance principles and best practices.
- Strong proficiency in identifying, integrating, and validating diverse data sources.
- Expertise in baselining and benchmarking key metrics, identify gaps, and recommend improvements.
- Familiarity with high-level data engineering concepts: data lake, data tables, metrics, dimension
Responsibilities
- Lead the assessment of priority marketing use cases, collaborating with TCCC stakeholders to document findings, expected outcomes, and define impact.
- Analyze data needs, feasibility, and potential impact for each use case.
- Quantify the incremental value and business impact that each additional use case could deliver.
- Oversee detailed assessments of existing data strategies and architectures related to priority use cases.
- Identify, validate, and document the most relevant data sources (internal and external) for each use case.
- Evaluate the breadth and depth of data captured and ingested, ensuring completeness and relevance for business objectives.
- Partner with data product owners to understand where current data exists, what can be re-purposed for use cases, identify data gaps, and document the nuances and challenges for specific data sets
Other
- Own the relationship with key client stakeholders.
- Skilled at presenting complex data findings to non-technical audiences.
- Strong team management and cross-functional coordination skills.
- Conduct stakeholder interviews, build rapport, ask questions rooted in data domain experience (primarily marketing data, but other data sources like Nielsen, sales, panel, survey, etc.)
- Partner with business, marketing, and technical stakeholders to elicit requirements and clarify objectives.
