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    Senior Data Analyst - Toronto, Canada - Randstad Digital

    Randstad Digital
    Randstad Digital Toronto, Canada

    12 hours ago

    Default job background
    Description

    Data Analyst Expert (Contract Position)

    Number of Positions: 1 Filled: 0 Duration: Half month

    Location: Toronto, ON, CA

    Must be eligible to work in Canada

    Hybrid position, 2-3 days onsite in Toronto

    Roles and responsibilities:

    Work closely with Product Owners and development teams, to promote the growth and continuous improvement of digital channels through in-depth analytics.

    -Work alongside a product owner(s), and be responsible for analyzing the digital behavior of clients and providing modeling and execution support to assist in personalizing experiences

    Participate on a team where data, measurement, and analysis is integral to smart decision making and building awesome products and features

    Provide objective, value-added insights and analysis to help drive optimization across products KPIs (i.e increased usage and sales recommendations)

    Build critical understanding of customers and how they use products and be a strong internal voice for the power of analytics as a driver of business value

    The delivery of business value in this role comes from a combination of knowledge transfer to key stakeholders and the provisioning of data services and tests to client facing applications (Public websites, Online Banking, Mobile apps)

    Analyze large data sets and representing the behavior of digital product users to provide insights about user actions that help owners optimize on KPIs (i.e. conversions, attribution models, path analysis, cohort analysis, conversion analytics, etc.)

    Consult with digital team leaders to understand goals and identify potential analytics projects or solutions to further the objectives of the Digital Product teams

    Support Multivariate and A/B testing by exposing core insights from the data to suggest, create and execute multivariate or a/b/c tests that drive fundamental improvements to the site experience

    Responsible for managing and developing business relationships with Digital product owners and key partners, including conducting regular monthly business review

    Deliver clear, concise and timely analysis with team members and stakeholders identifying trends, issues and opportunities, performance analysis, dashboards, benchmarking, sales reports, customer profile/segmentation, etc.

    Work closely with developers to modify digital content based on business rules and models

    Must have skills / experience

    -10+ years' experience in related digital product development or data mining role

    BA/BSc or above in mathematics, statistics, economics, computer science, software engineering or related quantitative field

    Advanced knowledge of R, Python, SQL or SAS

    Understanding of marketing analytics, data mining, experimentation and measurement

    Knowledge of web and mobile development processes

    Nice-to-have

    -Familiar with online tools such as Google Analytics Premium and Tableau

    Knowledge of graph analytics (Neo4j, DataStax, Neptune)

    Experience with the deployment of APIs and services for front-end personalization

    Knowledge of graph analytics (Neo4j, DataStax, Neptune)

    Ability to code in Scala

    Knowledge of statistical modeling and forecasting

    Skills & Competencies:

    The ideal candidate has a passion for data, a strong background in quantitative analysis and the latest technologies and an interest in finance and banking

    Strong team player with track record of collaboration and experience working as part of an agile team

    Proven analytics and problem solving skills

    Strong drive and desire to understand relationship of organizational components

    Attributes:

    Excellent verbal, written, communication and presentation skills

    Highly detail oriented and comfortable with large amounts of data

    Ability to multi-task and prioritize/complete projects in a timely manner

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