We are: 

Key Responsibilities

• Assess priority marketing use cases, collaborating with stakeholders to document findings, define requirements and expected outcomes.

• 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.

Data Review, Source Identification & Requirements

• Conduct detailed assessments of existing data strategies and architectures related to priority use cases.

• Identify, validate, and document the 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.

• Link data requirements to discussions 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

Metrics & Baseline Assessment

• Establish the current state of key performance and success metrics for existing and proposed use cases.

• Analyze metric definitions, calculation methodologies, and data lineage to ensure accuracy and consistency.

• Identify gaps in data capture, metric coverage, and reporting capabilities.

Stakeholder Engagement & Documentation

• 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.

• Translate findings into clear, actionable documentation, including requirements, user stories and acceptance criteria for technical teams.

• Present insights and recommendations to both technical and non-technical audiences.

Data Quality, Governance & Best Practices

• Advocate for and apply data quality standards, governance principles, and taxonomy management across all assessment activities.

• Collaborate with engineering and product teams to ensure robust data pipelines and semantic data layers.

• Support the design and implementation of cloud-based data solutions (Azure preferred).

Business & Commercial Analytics

• Analyze and interpret commercial performance data (e.g., volumetrics, ATL revenue, distribution, product mix) to identify trends and growth opportunities.

• Translate commercial and consumer insights into actionable business recommendations.

Media & Marketing Analytics

• Evaluate media performance across traditional and digital sources, including impressions, GRPs/TRPs, cost-to-client, and channel-level performance.

• Work with digital media account data (Meta, TikTok, Snapchat, etc.) to derive and aggregate awareness, engagement, and conversion metrics.

Consumer & Brand Insights

• Process and parse consumer survey data, ensuring sound handling of survey structures, questions, and response scales.

• Build and interpret brand equity and consumption models, deriving meaningful KPIs for brand tracking and strategy.

Basic Qualifications

• 3+ years of experience in marketing data analytics, campaign measurement, and attribution, as well as experience with consumer and digital data domains. This experience should include:
  • Expertise in data discovery and assessment methodologies.
  • Strong proficiency in identifying, integrating, and validating diverse data sources.
  • Ability to baseline and benchmark key metrics, identify gaps, and recommend improvements.
  • Experience documenting requirements and writing user stories for analytics and data products.
  • Knowledge of data governance, taxonomy, and quality standards.
  • Familiarity with high-level data engineering concepts: data lake, data tables, metrics, dimension
  • Exposure to Agile and Product Management practices (backlog management, sprint planning, iterative delivery).
• 1+ year of experience supporting Product clients (Retail, Consumer Goods, Travel, Industrials).

 

#LI-NA-FY25

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location                                    Annual Salary Range

California                                           $63,800 to $205,800

Cleveland                                            $59,100 to $164,600

Colorado                                            $63,800 to $177,800

District of Columbia                         $68,000 to $189,300

Illinois                                                 $59,100 to $177,800

Maryland                                           $63,800 to $177,800

Massachusetts                                  $63,800 to $189,300

Minnesota                                         $63,800 to $177,800

New York/New Jersey                    $59,100 to $205,800

Washington                                      $68,000 to $189,300

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