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AVP, Analytics Acceleration (L10)

6.00 to 10.00 Years   Hyderabad   25 Jan, 2023
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other SoftwareSBU Head / CEO / Director
EmploymentTypeFull-time

Job Description

    Role Summary/Purpose:AVP, Analytics Acceleration role is a part of India Analytics Hub (IAH) within Growth function of Synchrony. The role will deliver high-visibility and high-impact projects, working in close collaboration with Synchrony IAH and US Analytics teams to help solve key business problems with solutions that are powered by data and analytics. This newly created role will be working in a consulting model and develop analytic solutions focused on enabling Synchronys growth and profitability. This role is primarily an IC role but will mentor a team of analytics/data science professionals aligned directly or indirectly, working on same or other projects.This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. Were proud to offer you choice and flexibility.Essential Responsibilities:Lead analytics project assignments from scoping to delivery and solve business problems through basic to advanced analytics/data science streams, as applicableDevelop customized analytics and data science solutions, catering to business objectives and prioritiesWork hands-on to drive insights from data, using analytic techniques with actionable recommendations to enable effective decision making and proactively exhibit thought leadershipDevelop POCs using advanced analytics, machine learning, data science tools, methods, and modelsBuild strong relationships with US and IAH teams to drive and measure business outcomesAcquire proficiency with different data tools, software, techniques to improve current capabilities and to create new analytics and data science solutionsDeliver projects adhering to timelines, accuracy & compliance with meticulous project managementMentor team members on analytical, technical, functional skills and guide them build progressive thinking towards fulfilling their career objectivesDrive internal initiatives, perform other duties and/or special projects, as assignedQualifications/Requirements:Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams5+ years of analytics/data science experience, preferably in Financial Services IndustryMinimum 4 years of hands-on SAS/SQL programming experienceMinimum 3 years of experience in leveraging data/analytics to drive strategy with positive outcomesAdvanced skillset in Excel and PowerPointGood working knowledge of data visualization tools like Tableau, SAS VA, etc.Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.Strong written/oral communication & stakeholder management skillsProven ability to independently deliver analytical solutions for business problemsExperience in mentoring analystsFor Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying.Inform your Manager or HRM before applying for any role on Workday.Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)Must not be any corrective action plan (First Formal/Final Formal, PIP)Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.Level 8+ employees can applyDesired Characteristics:Experience in presenting to clients and senior leaders with strong communication skillsInnovative mindset that looks to improve current capabilities and discover new onesExperience in working with Python and R, preferably in a Linux-based cloud environment such as AWSKnowledge of ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc.Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniquesUnderstanding of macro-economic conditionsGrade/Level: 10Job Family Group:Marketing,

Keyskills :
ms officerecord keepingcustomer relationscontent management

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