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    Senior Associate, Data Transfer, Integration - Pune, India - BNY Mellon

    BNY Mellon
    BNY Mellon Pune, India

    5 days ago

    bny mellon background
    Description

    Senior Associate, Data Transfer, Integration & Quality

    Bring your ideas. Make history.
    BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the "bank of banks" - 97% of the world's top banks work with us as we lead and serve our customers into the new era of digital.

    With over 238 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we're approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what #LifeAtBNYMellon is all about.

    We're seeking a future team member for the role of Senior Associate, Data Transfer, Integration & Quality to join our Reconciliation Center of Excellence Change team. This role is in Pune and Chennai - HYBRID.

    In this role, you'll make an impact in the following ways:

    • Shall be working within the RCoE Change Reporting & Analytics POD, supporting the creation of multitude of operational & regulatory reports utilizing group approved technology tools.

    To be successful in this role, we're seeking the following:

    • Previous work experience in Data Analytics environment is preferred.
    • Excellent written and verbal communication skills
    • Direct experience with SQL (Must)
    • Experience with Power BI or other data visualization tools (Must)
    • Experience with Alteryx or any equivalent ETL Tool (Preferred)
    • Team player, proven track record in building effective relationships across global locations.
    • Strong analytical skills, including ability to extract and analyse data.
    • Good attention to detail and a result driven approach
    • Organized and able to manage workload efficiently.
    • Ability to work under pressure and ensure accurate output under tight timescales.
    • Bachelor's degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis (preferred)
    • 3+ years of total work experience preferred.

    At BNY Mellon, our inclusive culture speaks for itself. Here's a few of our awards:

    • Fortune World's Most Admired Companies & Top 20 for Diversity and Inclusion
    • Bloomberg's Gender Equality Index (GEI)
    • Human Rights Campaign Foundation, 100% score Corporate Equality Index
    • Best Places to Work for Disability Inclusion, Disability: IN – 100% score
    • 100 Best Workplaces for Innovators, Fast Company
    • CDP's Climate Change 'A List'

    Our Benefits:

    BNY Mellon offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves that can support you and your family through moments that matter. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    Human Resources - MyHR

    BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.

    Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

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