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Accenture

Advises businesses and runs their technology

Marketing Analytics Manager - Multiple Teams

Data ScienceConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of work experience in consulting or analytics with a reputed organization.
  • A Master's degree in Statistics, Econometrics, or Economics; B.Tech/M.Tech or Master's/M.Tech in Computer Science; or M.Phil/Ph.D. in Statistics or Econometrics, or a related field, from a reputed college.
  • Knowledge of SQL, R, Python, and at least one cloud-based technology such as Azure, AWS, or GCP.
  • Knowledge of building price/discount elasticity models and conducting non-linear optimization.
  • Knowledge of state space and mixed-effect modeling techniques, optimization algorithms, and their applicability to industry data.
  • Experience migrating AI capabilities from one cloud platform to another.
  • Ability to manage documentation of data models, architecture, and maintenance processes.
  • Knowledge of econometric/statistical modeling and analysis techniques, including regression analysis, hypothesis testing, multivariate statistical analysis, time-series techniques, optimization techniques, and statistical packages such as R, Python, SQL, and PySpark.
  • Proficiency in Excel, Microsoft Word, and PowerPoint.
  • Experience with client and team management and planning large-scale projects with risk assessment.
  • Ability to think analytically and use a systematic, logical approach to analyze data, problems, and situations, and to notice discrepancies and inconsistencies in information and materials.
  • Advanced task-management knowledge and experience, including planning tasks, discussing and working on priorities, and tracking and reporting progress.

Responsibilities

  • Define data requirements for Data Driven Merchandizing capability.
  • Clean, aggregate, analyze, and interpret data, and carry out data quality analysis.
  • Set up pricing, promotions, and assortment optimization capabilities across retail and consumer packaged goods clients.
  • Estimate price and discount elasticity.
  • Apply non-linear optimization techniques.
  • Use statistical time-series models, store-clustering algorithms, and descriptive analytics to support merchandising AI capability.
  • Apply state-space modeling and mixed-effect regression.
  • Develop AI/ML models in the Azure ML technology stack.
  • Develop and manage data pipelines.
  • Develop and manage data within different layers of the Snowflake environment.
  • Use design patterns for scalable machine-learning architectures and tools for deploying and maintaining machine-learning models in production; use cloud platforms to pipeline, deploy, and scale elasticity models.
  • Apply price and promotion optimization.
  • Create insights presentations and client-ready decks.
  • Mentor and guide a team of 10–15 people.
  • Manage client relationships and expectations, and communicate insights and recommendations effectively.
  • Contribute to capability building and thought leadership.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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