Senior Operations Analyst

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Employer: Finastra
  • Banks - Financial Institutions
  • Accounting - Finance
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • nationwide
    Updated at: 03.04.2018
    Short company description

    Formed in 2017 by the combination of Misys and D+H, Finastra builds and deploys innovative, next-generation technology on our open Fusion software architecture and cloud ecosystem. Our scale and geographical reach means that we can serve customers effectively, regardless of their size or location—from global financial institutions to community banks and credit unions.


    • Minimum of 4 years of experience in an Operational/Financial Analyst role
    • A mix of Project Skills to improve business operations and BAU skills to service business operations.
    • Highly proficient with data and numbers, complex information systems and financial knowledge to interpret and sense check figures
    • We are looking for solid experience with Business intelligence tools to merge data sets in SQL and perform Data transforms to build Dashboards. We use DOMO, but your experience could be with other BI Tools like Qlik, Tableau, Microsoft Power BI.
    • Highly experienced at improving Data Quality from the point of input, through our systems and into our Business Intelligence tool DOMO.
    • Highly proficient with MS Excel including advanced features, building and maintaining macros/VBA, SQL, complex formulas and transforms of data flows.


    • Participate in the continuous improvement of Data Quality through identification, mapping and proving data at each point in the data flow. Proving calculations and data transforms, improving trust in the end reports and insights we provide to the business.
    • Run fast paced projects to create on-demand data analytics by moving out of static excel spreadsheets and into DOMO our Business Intelligence tool using SQL to provide real time information
    • Compile monthly reports for Regional Operations enabling the business to monitor, control and improve P&L, Sales Pipeline, Resource Utilization and Multi-Project Financials
    • Analyze complex data sources and interdependencies
    • Use existing reports to control data quality, follow-up and communicate effectively with project managers and business owners to improve data quality