FUTURES AND CAREERS | Jobs | Retail Analytics Manager | BigDataKB.com | 30-03-22

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Job Location: Bangalore/Bengaluru

Roles and Responsibilities

Greetings of the day!

There’s an immediate requirement for Group Manager – Retail Analytics position in a MNC, Bangalore.
Please find the job description below. If interested, kindly share your updated resume with CTC and notice period details to nagalakshmi.r@ futuresandcareers.com or Whatsapp at 9945455009

Job Description

Strong domain knowledge and thought leadership in retail domain (excl. Banks)

The ideal candidate would be adept at understanding customer’s business challenges and define appropriate analytics approach to design solution

Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions

Candidate should be able to think from first principles to define & evangelize solutions for any business problem

This is a hands-on role and will be required to manage day to day delivery activities and guide the team in executing analytics projects by analyzing large volume of data

Research and bring innovations to develop next generation solutions in core functional areas related to Promotion Effectiveness, Forecasting with detrending methods, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc

Ideal candidate should have hands on experience on SQL, hyve, Tableau/Qlik-view dashboard development, Statistical modelling, Machine Learning tools โ€“ R, python, AWS ML etc.

Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams

He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development

This role requires excellent communication skills. Additionally, should also possess the ability to confidently socialize business recommendations and enable customer organization to execute such recommendations.

Technical Experience: (not all technical exposures are expected from one individual)

Multiple linear regression, Logistic regression, ARIMA/ARIMAX

Clustering, Decision Tree, Random Forest, Support Vector Machine, Nave Bayes, GBM, PCA

Optimization techniques (Single objective/multi objective), simulation, pymc3, GMM, GLM

Recommender Systems (MF, ALS, Deep Learning) โ€“ collaborative/ content filtering

Model automation and simulations, MMX, price elasticity models, CLTV, Assortment Optimization

Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc

Tools: R, Python, SQL, SAS, hyve, spark, big data, Experience in processing large amount of data using BigData technologies, Advanced knowledge of Excel and VBA, Knowledge of any visualization tools like Tableau, Spotfire, QlikView, Power BI etc.

Functional/Domain Experience: Retail Domain, E-Commerce

Relevant retail Experience: 8 – 10 years

Apply Here

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