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 – 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) – 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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