Business Intelligence Analyst

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Employer: Finastra
  • Customer Support - Client Service
  • Management - Consulting
  • Sales
  • Job type: full-time
    Job level: 0 - 1 years of experience
  • Updated at: 28.02.2018
    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.


    Required Experience:

    •2+ years of experience in data analysis and reporting
    •Ability to manage and analyse large volumes of data coming from different sources such as SFDC ( CRM), Win/Loss analysis, analyst reports, various external databases, etc.
    •Highly analytical: able to consume large amounts of information, pay attention to details but focus on the most important, verify conflicting data points, make small decisions quickly, be able to spot trends and exceptions, develop strategic implications
    •Experience with Salesforce (SFDC) reporting is highly beneficial; must be confident with large Excel spreadsheets, formula and pivot tables
    •Experience of business financial modelling highly desirable
    •Entrepreneurial and self-sufficient: work under no micro-management constantly delivering high-quality results and driving own agenda
    •Effective oral and written communication skills in order to be efficient in a multi-national and multi-cultural organisation


    Responsibilities & Deliverables:

    Your core responsibilities as a Business Intelligence Analyst will include, but will not be limited to, the following:

    •Win/Loss Data Analysis:
    •Generate custom SFDC ( CRM) reports on Finastra opportunities in the global financial software market
    •Prepare data for analysis by classifying opportunities, verifying outcomes, sanity‑checking data points and improving the overall quality of underlying data
    •Analyse datasets in order to identify trends and exceptions in business performance
    •Based on the analysis, produce management reports on sales efficiency by product, sales scenario, geography and other metrics
    •Work with a wider Product Strategy team on Win/Loss and Customer Insight analysis to design Finastra product and sales strategy recommendations
    •Market Sizing:
    •Target Addressable Market (TAM) estimates the size of opportunity for banking software in the global market. TAM is extensively used by Finastra product management, marketing and sales organisations to plan product development, go-to-market campaigns and sales strategy
    •You will contribute to Finastra’s existing TAM process and activities including the management of the global financial institutions database
    •Work closely with Product Management to help identify the TAM for their software products
    •Provide regular input into Finastra product roadmap planning, marketing and sales planning cycles
    •Carry out data linkages and mapping of various intelligence sources to enrich Finastra’s databases of banks and to create unique and powerful views of the banking landscape
    •Provide ad-hoc analysis of the TAM database to identify actionable insights.
    You will report to the Competitive Intelligence Manager.