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Sales Ex - COE – Sales Projections Specialist

Analytics and Modeling Team Lead/Consultant | Full time | Experience: 5-10 years
Job No. R00281873 | Bengaluru
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Job Title : Sales Ex - COE – Sales Projections Specialist

Management Level :  CL 09-Specialist

Location: Bangalore

Must have skills: statistical techniques and machine learning algorithms

Good to have skills: Advanced Visualization (Excel/Power BI)

Job Summary:
At Accenture, we believe your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work. Here, you’ll match your ingenuity with the latest technology to do incredible things. Together, we can create positive, long-lasting change.

We are:

Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.

You are:

Curious about the latest Data and AI technologies, tools, models and trends and eager to find out how they may help your team and your customers. You are quick to prototype a new solution and willing to abandon it if it does not solve the use cases. You find satisfaction in exploring raw data and efficiently transforming it into useful and relevant information.

You enjoy working with a small group to deliver solutions. You are well-organized and consistently focus on priorities in order to achieve timelines.  If changes or delays arise, you manage end users' expectations as early and as quickly as possible.


Roles & Responsibilities:
The work:

The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.

As an Analytics & Modeling Specialist, you will be driving innovation around analytics models. Your typical day will involve working with machine learning models, Python, SQL, analysis and modeling to build predictive models, analyzing large data sets and translate data into valuable business insights.

You will:

  • Develop and deploy Artificial Intelligence/Data Science solutions using Python, SQL and latest AI technologies including fine tuning pretrained models.
  • You will be required to utilize frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class
  • You will be responsible for solving complex business problems that include predicting future outcomes, prescriptive actions, and optimization for stakeholders
  • Conduct detailed analysis of complex data sets, employing statistical methodologies and data modeling techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms.
  • Apply expertise in diverse analytics algorithms, specialized in machine learning, including hands on experience implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
  • Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity.
  • Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage

The Work Continued:

  • Partner with stakeholders and other members of the team to apply critical thinking and the latest data science methodologies to solve our most complex analytic challenges.
  • Translate business issues into specific requirements by identifying appropriate data, developing analytics models and solutions.
  • The person should require minimal guidance when determining methods and procedures on new assignments. 
  • Please note that this role requires you to work in a second shift


Professional & Technical Skills:
Here’s what you need:

  • A Bachelor’s degree or equivalent
  • 5-8 years of relevant experience, which includes: 
  • Knowledge of statistical techniques and machine learning algorithms (4+ years)
  • Experience in building regression & classification models using Python or R (4+ years)
  • • Hands-On exposure to Generative AI frameworks and implementations. Experience in Fine-tune pre-trained LLM models with custom datasets. [6-12 months]
  • Strong Quality Practices and Thoroughness
  • Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress. 
  • Intermediate SQL & data integration (ETL) knowledge (experience with stored procedures, functions, views etc.)
  • Strong Quality Practices and Thoroughness.
  • Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress.


Additional Information:
Extra credit if you have:

  • Masters degree in Analytics or similar field
  • Advanced Visualization (Excel/Power BI)
  • Knowledge of Google Cloud Platform (GCP) and Big Query 
  • Experience working in Sales, Marketing, Pricing, Finance, or related fields.
  • Understanding of Accenture sales process and systems, business model
  • Working knowledge of Salesforce Einstein Analytics

You may also need:

  • Ability to work flexible hours according to business needs.
  • Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.

About Our Company | Accenture

Experience: 5-8 years of relevant experience

Educational Qualification: A Bachelor’s degree or equivalent

Bengaluru

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

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