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27/02 Tina Kataria
Manager - Human Capital at Fractal Analytics

Views:1583 Applications:436 Rec. Actions:Recruiter Actions:0

Fractal Analytics - Consultant - Advanced Analytics (1-6 yrs)

Bangalore/Gurgaon/Gurugram/Mumbai Job Code: 802773

Consultant - Advanced Analytics


- We are looking for an Advanced Analytics Consultant, Minimum 1 - 6 years of Advanced Analytics / Machine learning & Predictive Modelling using Python / R and SQL.


- Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.


- Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling.e.


Technical and domain expertise -


- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc


Execution excellence:


Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.


Job Responsibilities :


- Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem.


- Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.


Project management:


- Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.


Client relationship management:


- Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.


- Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager.


- Support the sales team as required for RFPs and regular sales pitches


Firm building: Contribute to firm growth by participating and conducting training sessions.


Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management


The Person:


Experience:


- The overall experience of Minimum 1 to 6 years with at least 1 to 6 years of hands-on experience in running Advanced analytics projects

CPG/Retail domain experience is preferred


- High proficiency in concepts and algorithms used in design of experiments.


- Expert-level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc.


- Good to have working experience in one or more of Probabilistic graphical models, Reinforcement learning, NLP and related areas


- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc


- Problem-solving, Project management, and communication skills & Creative thinking


- Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management


Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent


Location: Bangalore/Mumbai/Gurgaon

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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