Manager Customer Support Analytics

5 months ago

Pune, India GSI Electronics Inc Full time

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution Join us to make your contribution.

AGCO is looking to hire candidates for the position of Manager Customer Support Analytics.

The Manager Customer Support Analytics role requires a skilled data analyst and machine learning manager. The ideal candidate will have a strong background in planning and executing projects with data analysis, machine learning, and data engineering, that transform raw data into actionable insights and predictive models that drive business decisions The role is responsible for the execution of cutting-edge advanced data science and analytics initiatives for the Global Customer Support team.

The role will need managing a team of analytics professionals solving different use cases to provide value for different business units within the Customer Support organization.

Your Impact

Works with senior management and key Customer Support Business stake holders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business domains. Visualizes data and analytical insights for easy consumption for business using reports, dashboards, and scorecards. Uses storytelling to explain business insights to stakeholders; acts as a change agent to drive data driven decision making within the organization. Possess extensive knowledge and technical know-how on data visualization and data engineering technologies / processes to build robust and reliable data visualizations and analytics solutions. Stays up to date on leading data science and visualization practices, trends, design, learning and development cycles.  Data Analysis and Modeling; Machine Learning and Predictive Analytics; Data Engineering:

Your Experience and Qualifications

Minimum 8+ years of professional experience in Data Analytics field 8+ years of experience in working on AI/ML projects and similar use cases for Automotive and/or FMCG, B2C organizations in Sales, Marketing or Pricing domains. 8+ years of experience in Analytical software/language skills (Python, R, SQL, SAS) 5+ years of Proficiency in AI centric libraries like Tensorflow, Keras and Pytorch 5+ years of experience Distributed big data processing frameworks (Spark, Hadoop) 5+ years of experience in working with Cloud Technologies (AWS or GCP or Azure) At least one Certifications in AWS Cloud Engineering or AWS Data Services or AWS Cloud Practitioner or AWS Certified Data Engineer or related/equivalent MOOCs in Machine Learning area 10+ years as a Project, Program or Product Management with experience leading global initiatives. Strong communication / interpersonal skills, capable of interacting with multiple levels of IT and business management; effective working relationship with the business to ensure business requirements are accurately captured agreed, accepted and implemented. Master’s degree in computer engineering, Computer Applications, or equivalent business / domain experience will be considered a plus

Your Benefits

GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential. POSITIVE IMPACT – Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join us as we bring agriculture into the future and apply now

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