Sales Excellence - COE - Advanced Modeling Manager at Accenture

Mandaluyong, National Capital Region, Philippines

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consulting, TechnologyIndustries

Requirements

  • Bachelor’s degree or equivalent experience
  • Excellent oral and written communication in English
  • At least five years of experience doing data modeling and analysis work, including machine learning algorithms, SQL, R, or Python, Advanced Excel, and data visualization tools such as Power BI, Power Apps, Tableau, QlikView, or Google Data Studio
  • Project management experience
  • Strong business acumen and attention to detail
  • Good to Have
  • Master’s degree in Analytics or similar field
  • Understanding of sales processes and systems
  • Knowledge of Google Cloud Platform (GCP) and BigQuery
  • Experience working in Sales, Marketing, Pricing, Finance, or related fields
  • Working knowledge of Salesforce Einstein Analytics
  • Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar
  • Experience working with Power Apps

Responsibilities

  • Collect and process data from functions such as Sales, Marketing, and Finance
  • Analyze data to develop business insights that support decision making
  • Communicate data insights in a clear and concise manner
  • Work closely with the COE team to develop industrialized solutions
  • Build models and scorecards that help business leaders to understand trends and market drivers
  • Work closely with operations teams to turn these insights into user-friendly solutions
  • Manage access to tools and monitor their usage

Skills

Key technologies and capabilities for this role

Data AnalysisAI ModelingBusiness InsightsData ProcessingStatistical ModelingScorecardsData VisualizationSQLPythonCommunication

Questions & Answers

Common questions about this position

What experience is required for this Advanced Modeling Manager role?

Candidates need at least five years of experience in data modeling and analysis, including machine learning algorithms, SQL, R, or Python, advanced Excel, and data visualization tools such as Power BI, Power Apps, Tableau, QlikView, or Google Data Studio. A Bachelor’s degree or equivalent experience, project management experience, strong business acumen, and attention to detail are also required.

What are some good-to-have skills for this position?

Preferred skills include a Master’s degree in Analytics or similar, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, or Finance, working knowledge of Salesforce Einstein Analytics, optimization techniques like Pyomo or SciPy, and experience with Power Apps.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What does Accenture's Sales Excellence team value in this role?

The team values an analyst who turns data into business insights, searches for patterns to discover trends and solutions, uses AI modeling to improve processes, communicates insights clearly, and collaborates with operations teams to develop user-friendly solutions.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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