Senior Data Analyst – Enterprise Analytics - Toronto, Canada - Money Mart Financial Services

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    Full time
    Description

    Company Description

    Momentum Financial Services is a leading provider of financial services in North America. For 40 years, we've been committed to providing financial solutions that meet the evolving needs of consumers and business owners. Backed by a retail network of over 400 locations, we provide access to cash and related products to help our customers achieve their goals.

    Our highly skilled workforce puts customers first in everything we do. We serve 2 million people annually with diverse and innovative financial products such as loans, check cashing, money transfer and prepaid cards. Through this ever-evolving suite of services, we empower customers to manage their finances and improve their lives. Wherever customers are on their financial journey, Money Mart Financial Services provides solutions.

    #Corporate

    Job Description

    GENERAL FUNCTION

  • The Senior Data Analyst will be a part of the Enterprise analytics team spearheading Data Analytics around Key Financial KPIs. The role will revolve around expert level usage on Tableau, SQL and Python.
  • DUTIES/RESPONSIBILITIES

  • Generate, optimize, and share output of recurring reports for stakeholders across multiple business functions.
  • The Senior Data Analyst will require the following skills:Advanced SQL coding for Dataset preparationsExpert level skills in Tableau Dashboard development using advanced expressions, multi-level drill down capabilities which could deliver Quick insights for knowledge on Python scripting for Data extraction, preparation, and automation of scripts for downstream needed) ETL processes related to that data to get it into a proper format for ingestion by Tableau reportsManaging a queue of reporting requests related to report enhancements, reporting bug fixes, and new report creationDay to Day support on Tableau Desktop and Tableau server report creation, refreshing, bug-fixing, and enhancementsTableau reporting automation (, via Python scripting and SQL scripting)Knowledge on Analytics based Python libraries such Pandas, Numba and Scikit and MatplotLib
  • Qualifications

    EDUCATION

  • Required: A Master's degree or higher in a quantitative field such as Data Science, Decision Science, Business Analytics, Mathematics, Statistics, Computer Science, Engineering, Finance, or Economics.
  • EXPERIENCE

  • Required: At least 7 years of experience in the area of Data Analytics. (Experience within the financial services industry is a plus.)
  • Required: At least 4 years of experience working with Tableau.
  • Preferred: Tableau Specialist Certified, Python libraries and methodologies: Data Frame APIs, Pandas, Numpy, JSON Lib
  • Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Additional Information