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    Analytics Lead - pune, India - Syngenta Group

    Syngenta Group
    Default job background
    Full time
    Description
    Job Description

    Role Purpose:

    • End to end involvement from design to deploy: Design and deliver sustainable analytics solutions for small and large business requirements within Syngenta, while closely working with the Data Warehousing Team, IT Team, Business, External technology partners and Finance Leadership
    • Multi-Functional Role: Provides an opportunity to design, drive and roll out analytics solutions from requirement gathering to solution / report adoption.

    Responsibilities

    • Finance Analytics SME – Collaborate with cross-functional teams to identify strategic financial analytics use cases, focusing on improving financial performance, forecasting accuracy and risk management.
    • Stakeholder engagement – Demonstrate a proven ability to communicate complex financial analyses and insights clearly and concisely to both technical and non-technical stakeholders
    • Presentation skills – Proficiency in creating compelling presentations that highlight key findings, recommendations and their impact
    • Techno-functional resource with deep understanding of financial statements and analytics tools to facilitate in creating cohesive Analytics solutions.
    • Use case development: Work closely with data scientists / analysts to design, develop, and implement advanced analytics use cases, models and dashboards.
    • Analytics solutions: Evaluate and select analytics tools that best suit the problem statement.
    • Skills and abilities in analytical and strategic thinking, presentation, process automations and the ability to communicate effectively with all levels of the organization.
    Qualifications
    • 8-12 years of experience in a Financial analytics or Risk analytics role
    • 3-5 years developing, maintaining, modifying, automating and monitoring key performance measurements and processes for reporting to management
    • Advanced knowledge of Business Intelligence tools (namely SAC, Tableau, PBI) and Microsoft Office, Excel Macros
    • An emphasis on accuracy, quality, timeliness, and productivity
    • Must have - Proficient knowledge in accounting: namely, Profit & Loss, Balance Sheet and Cash Flow analytics and debits and credits
    • Preferred - Ability to work with programming languages, primarily Python and SQL


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