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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | FMCG / F&B |
Functional Area | General / Operations Management |
EmploymentType | Full-time |
Analytics Technology (3rd party tools):Experience implementing and building Analytics technology and a reporting eco-system. Continue to drive experience design and user experience (front end, back end) and seek out creative ways to enhance technology capabilities. This role will research capabilities and build strategy based on business requirements. This role provides recommendations on new capabilities or functionality to utilize within our tool portfolio, which systems to implement and that involves collaboration between IT and the supervisor. 30%Agile Prototyping and Releases: Research new vendor capabilities, drive agile prototype/pilots and seek out new ways to innovate. 25%Big Data Knowledge: Expertise in Cloud Computing (AWS, Azure or Google Cloud) and Integration architecture This role will contribute as a Subject Matter Expert on projects and can raise escalations via the project managers or supervisors. This role will collaborate with different team members across HR and IT. 25%Coaching and Training Able to functionally train HR leaders and professionals on various HR analytics products; seek out ways to improve tool adoption and efficiency. 10%Innovation and Continuous Improvement Continuously seek out industry best practices and tools, produce thought leadership and develop skills to create new capabilities for data analytics at Cargill to improve business decisions. 10%Education, Experience, SkillsRequired:Bachelor s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Economics,, Human Resources, Operations Research or related fields.Minimum 5 to 7 years relevant work experience (if Bachelor s degree) or minimum 5 years relevant work experience (if Master s degree) with a proven track record in driving value in a corporate setting using strong technology skills.Lead the People Analytics Technology & Product team to address business challenges with actionable, data-driven people and technology solutions.Consult and provide thought leadership around the design, development and implementation of HR technology and analytics tools, dashboards and reporting.Oversees and manages analytics technology, HR technology (e.g., SuccessFactors, Kronos, ADP) data visualizations and maintains a project management framework that facilitate successful execution of systems or projects.In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.Proficiency in Data Visualizations (e.g.,PowerBI or Tableau).Experience in software development environment, Agile, and code management/versioning (e.g. git).Experience with SQL or building data pipelines (e.g., Kafka)Experience working in a cloud environment e.g. Amazon Web Services.Experience with Big Data development in Hadoop and Spark frameworks.Experience with predictive model deployment, tuning, and performance monitoringAbility to understand complex and ambiguous business needs and applying the right tools and approaches.Must be curious, self-motivating, driven and have a passion for problem solving.Collaborative team player; seek out ways to build up analytical capabilities across HR.Excellent communication skills, both written and verbal.Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way.Continuous learner, stays up-to-date on external trends.Preferred:Master s degree from an accredited college/university in Business Analytics, Business Administration, Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or related fields.Experience with Interactive Presentations/Documents tools (e.g., Adobe InDesign)Experience leading training/coaching teams or user adoption advocacy groups.Other relevant information to the positionCareer Development:Organization Breadth:- Learning about multiple businesses and processes;- fast paced,- collaborative environment,- ability to grow with data science team.Gained skills about the business as well as technical machine learning capabilities.,
Keyskills :
canazuremultiplearchitectureanalyticscloudintegrationdesignsciencesystemsstatisticsmodelingreportingkronosomputingbusinesscomputerrequirements