Data Analyst II - Columbia, United States - Jobs for Humanity

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    Description
    Company Description

    Jobs for Humanity is partnering with
    EDWARD JONESto build an inclusive and just employment ecosystem.

    Therefore, we prioritize individuals coming from the following communities:

    Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.

    This position is open to candidates who reside in and have the legal right to work in the country where the job is located.


    Company Name:

    EDWARD JONES
    Job Description


    At Edward Jones, we help clients achieve their serious, long-term financial goals by understanding their needs and implementing tailored solutions.

    To ensure a personal client experience, we have located our 15,000+ branch offices where our more than 7 million clients live and work.


    In a typical branch office, a financial advisor meets with clients and receives branch office support, so they can focus on building deep relationships with clients.

    Headquarters associates in St. Louis, Tempe and Mississauga provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. We continue to grow to meet the needs of long-term individual investors.


    Come join us in Firm Analytics, where we strive to unleash the full potential of data to address business challenges.

    As an analyst on our team, you will design, develop, and deliver data stories by applying best in class data manipulation, descriptive statistical analysis, and impactful data visualization techniques.

    You will combine data from multiple sources to develop innovative analytical solutions to business problems.

    You will collaborate with business leaders and other team members to develop actionable insights which inform enterprise decision making and influence strategic planning.

    Your insights, real outcomes.

    If you have a passion for data, problem-solving, developing solutions, driving analysis to action and inquiry into innovation, Firm Analytics at Edward Jones may be your next career choice.


    Key Responsibilities:


    Utilize data manipulation and aggregation techniques, descriptive statistics and/or data visualization methods to design KPIs that measure various firm strategies.

    Query, manipulate and validate data across multiple domains using various database technologies and querying languages.

    Leverage business and analytic acumen to develop prototypes that answer business questions, validate use cases or document understanding of key requirements/stakeholder needs.

    Conduct meaningful descriptive statistical analysis through exploratory analysis to identify correlation among variables, data distributions, quartile rankings and measures of frequency.

    Create data visualizations that simplify complex information in a robust, accurate, and appealing visual story that engages stakeholders and drives them to action.

    Maintain a good understanding of business objectives, key business drivers/strategies/priorities, to inform an analytic approach to address business questions.

    Support presentations to a wide range of audiences with specialized subject matter expertise including finance, compliance, marketing, products, branch development, and technology.

    Apply critical thinking and business knowledge to validate logic and output against known data sources.
    Collaborate with cross-functional teams responsible for implementing projects in support of divisional and firm-wide business objectives.
    Apply domain expertise to recommend improvement to business processes, while supporting the quantified impact of changes for leadership.
    Maintain a working knowledge of data flows and data sources within relational databases such as Oracle and/or Snowflake.

    Required Qualifications

    3-5 years of experience in data analytics
    Undergraduate degree preferred
    Ability to extract and analyze large amounts of data using at least one data manipulation language (SQL preferred)
    Data visualization experience using a BI tool (Tableau preferred)

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