Accenture
Marketing Data Analysis Manager – Products
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Marketing Data Analysis Manager – Products
role at
Accenture .
Overview The
Marketing Data Analysis Manager
directs a team that evaluates marketing use cases and conducts comprehensive reviews of current data sources and approaches. This senior data expert owns relationships with key client stakeholders and ensures the organization leverages optimal data assets to activate key use cases, articulating incremental business value to the business.
Core Skills
Data Analysis & Interpretation: Ability to analyze large, complex datasets and derive actionable insights.
Marketing Acumen: Deep understanding of marketing strategies, campaign measurement, and attribution models.
Technical Proficiency: Familiarity with SQL, data visualization tools (Tableau, Power BI), and cloud‑based data solutions (Azure preferred).
Communication & Storytelling: Skilled at presenting complex data findings to non‑technical audiences.
Leadership & Collaboration: Strong team management and cross‑functional coordination skills.
Governance & Compliance: Knowledge of data governance principles and best practices.
Use Case Assessment
Lead assessment of priority marketing use cases, collaborating with stakeholders to document findings, expected outcomes, and define impact.
Analyze data needs, feasibility, and potential impact for each use case.
Quantify incremental value and business impact that each additional use case could deliver.
Data Review, Source Identification & Requirements
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 current data, repurpose data for use cases, identify gaps, and document nuances and challenges for specific data sets.
Metrics & Baseline Assessment
Establish 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 & Partnership
Conduct stakeholder interviews, build rapport, and ask questions rooted in data domain experience.
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, including senior leadership.
Data Quality, Governance & Best Practices
Champion data quality standards, governance principles, and taxonomy management across all assessment activities.
Partner and collaborate with engineering and data modeling leads to ensure findings translate to development requirements and approach.
Business & Commercial Analytics
Analyze and interpret commercial performance data (e.g., volumetrics, 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
7+ years of experience in data analytics, specifically marketing, consumer, and digital domains with extensive expertise in data discovery, profiling, and assessment methodologies.
Strong proficiency in identifying, integrating, and validating diverse data sources.
Expertise in baselining and benchmarking key metrics, identifying gaps, and recommending improvements.
Excellent communication and stakeholder management skills.
Experience gathering and documenting requirements.
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).
4+ years of experience in the Products space (Retail, Consumer Goods & Services, Travel, Industrial).
Preferred Qualifications
Experience operating within cross‑functional Agile teams.
Experience with marketing analytics, campaign measurement, and attribution models.
Ability to quantify and articulate incremental business value from data‑driven initiatives.
Compensation Accenture provides a realistic range of compensation at the advertised locations.
California: $94,400 to $293,800
Cleveland: $87,400 to $235,000
Colorado: $94,400 to $253,800
District of Columbia: $100,500 to $270,300
Illinois: $87,400 to $253,800
Maryland: $94,400 to $253,800
Massachusetts: $94,400 to $270,300
Minnesota: $94,400 to $253,800
New York/New Jersey: $87,400 to $293,800
Washington: $100,500 to $270,300
Equal Employment Opportunity / Accommodation Statements Accenture is an EEO and affirmative‑action employer of veterans and individuals with disabilities. We provide reasonable accommodation for applicants with disabilities or religious observances. Accenture is committed to providing veteran employment opportunities.
Applicants for employment in the United States must have work authorization that does not require sponsor’s visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture does not require disclosure of sealed or expunged records of conviction or arrest as part of the hiring process. The company will not discriminate based on inquiries about pay or protection of compensation information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
#J-18808-Ljbffr
Marketing Data Analysis Manager – Products
role at
Accenture .
Overview The
Marketing Data Analysis Manager
directs a team that evaluates marketing use cases and conducts comprehensive reviews of current data sources and approaches. This senior data expert owns relationships with key client stakeholders and ensures the organization leverages optimal data assets to activate key use cases, articulating incremental business value to the business.
Core Skills
Data Analysis & Interpretation: Ability to analyze large, complex datasets and derive actionable insights.
Marketing Acumen: Deep understanding of marketing strategies, campaign measurement, and attribution models.
Technical Proficiency: Familiarity with SQL, data visualization tools (Tableau, Power BI), and cloud‑based data solutions (Azure preferred).
Communication & Storytelling: Skilled at presenting complex data findings to non‑technical audiences.
Leadership & Collaboration: Strong team management and cross‑functional coordination skills.
Governance & Compliance: Knowledge of data governance principles and best practices.
Use Case Assessment
Lead assessment of priority marketing use cases, collaborating with stakeholders to document findings, expected outcomes, and define impact.
Analyze data needs, feasibility, and potential impact for each use case.
Quantify incremental value and business impact that each additional use case could deliver.
Data Review, Source Identification & Requirements
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 current data, repurpose data for use cases, identify gaps, and document nuances and challenges for specific data sets.
Metrics & Baseline Assessment
Establish 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 & Partnership
Conduct stakeholder interviews, build rapport, and ask questions rooted in data domain experience.
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, including senior leadership.
Data Quality, Governance & Best Practices
Champion data quality standards, governance principles, and taxonomy management across all assessment activities.
Partner and collaborate with engineering and data modeling leads to ensure findings translate to development requirements and approach.
Business & Commercial Analytics
Analyze and interpret commercial performance data (e.g., volumetrics, 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
7+ years of experience in data analytics, specifically marketing, consumer, and digital domains with extensive expertise in data discovery, profiling, and assessment methodologies.
Strong proficiency in identifying, integrating, and validating diverse data sources.
Expertise in baselining and benchmarking key metrics, identifying gaps, and recommending improvements.
Excellent communication and stakeholder management skills.
Experience gathering and documenting requirements.
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).
4+ years of experience in the Products space (Retail, Consumer Goods & Services, Travel, Industrial).
Preferred Qualifications
Experience operating within cross‑functional Agile teams.
Experience with marketing analytics, campaign measurement, and attribution models.
Ability to quantify and articulate incremental business value from data‑driven initiatives.
Compensation Accenture provides a realistic range of compensation at the advertised locations.
California: $94,400 to $293,800
Cleveland: $87,400 to $235,000
Colorado: $94,400 to $253,800
District of Columbia: $100,500 to $270,300
Illinois: $87,400 to $253,800
Maryland: $94,400 to $253,800
Massachusetts: $94,400 to $270,300
Minnesota: $94,400 to $253,800
New York/New Jersey: $87,400 to $293,800
Washington: $100,500 to $270,300
Equal Employment Opportunity / Accommodation Statements Accenture is an EEO and affirmative‑action employer of veterans and individuals with disabilities. We provide reasonable accommodation for applicants with disabilities or religious observances. Accenture is committed to providing veteran employment opportunities.
Applicants for employment in the United States must have work authorization that does not require sponsor’s visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture does not require disclosure of sealed or expunged records of conviction or arrest as part of the hiring process. The company will not discriminate based on inquiries about pay or protection of compensation information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
#J-18808-Ljbffr