Jobs
Job Title
- S&C Global Network
- AI - Merchandising Analytics
- Analyst
Management Level: 11/9
Location: Bengaluru, BDC7C
Must-have skills: Merchandising
Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
Professional & Technical Skills:
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Relevant experience in the required domain.
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Strong analytical, problem-solving, and communication skills.
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Ability to work in a fast-paced, dynamic environment.
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Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP)
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Must have knowledge of building price/discount elasticity models and conduct non-linear optimization.
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Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data.
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Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes
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Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, Py Spark.
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Proficient in Excel, MS word, PowerPoint, etc.
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Strong client communication.
Additional Information:
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Opportunity to work on innovative projects.
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Career growth and leadership exposure.
WHAT’S IN IT FOR YOU?
- As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
- Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications.
- In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
What you would do in this role
- Working through the phases of project Define data requirements for Data Driven Merchandizing capability.
- Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
- 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.
- Knowledge of price/discount elasticity estimation.
- Experience in working with non-linear optimization techniques.
- Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability.
- Hands on experience in state space modeling and mixed effect regression.
- Development of AI/ML models in Azure ML tech stack.
- Develop and Manage data pipelines.
- Develop and Manage Data within different layers of Snowflake environment.
- Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models.
- Working knowledge of Price/Promo optimization
- Working along with the team and consultant/manager
- Well versed with creating insights presentations and client ready decks.
- Should be able to mentor and guide junior resources.
- Should have strong communication skills.
- Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.
- Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
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Reviews
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Work Life Balance
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
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Stock
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Bonus
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$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
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