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  • Senior Marketing Data Analyst (e-commerce)
    New

    Senior Marketing Data Analyst (e-commerce)

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid
    Tylko

    Tylko

    Hi! We’re a fast-growing tech& lifestyle (award-winning!) company on the mission to create more harmony in every home, by providing stylish furniture that can be fully personalised by customers through our online configurator and AR-enhanced App.

    Company profile

    Tech stack

      Any BI Tool

      advanced

      MS Excel

      advanced

      BI

      advanced

      SQL

      advanced

      E-commerce

      regular

      GCP

      nice to have

      BigQuery

      nice to have

      Python

      nice to have

    Job description

    We are looking for a business-oriented and people-friendly Senior Marketing Data Analyst experienced in e-commerce. If you are passionate about e-commerce, patient and persistent, join our Team!


    About the Team

    Analysts are key members of the Finance Department, contributing significantly to the strategic planning process and navigating e-commerce business decision-making. We are the proud owners of our data warehouse and all dashboards used in our company.

    Working in a matrix structure, you will primarily collaborate with people responsible for E-Commerce Sales, Marketing, and Brand areas to identify problems and challenges they face where data can provide insights. Within the Analytics Team, you will closely cooperate with our Web Analyst.


    Once you join our Team you will be responsible for:

    • Querying and analyzing data sets using SQL (Big Query), Python (optionally), Excel/Google Sheets and visualization tools (Looker Studio)
    • Analyzing data from online marketing channels (e.g., social media, email, paid search) to optimize campaign performance and spending, and provide recommendations.
    • Developing and monitoring dashboards to optimize digital marketing campaigns, traffic acquisition spend and ROI.
    • Developing and maintaining attribution models (and others) to assess channel spend effectiveness and returns.
    • Analyzing, segmenting, comparing, and presenting data; drawing conclusions and making recommendations for improvements and tests.
    • Supporting the business team in making efficient marketing budget decisions and executing the strategy.
    • Simplifying complex business problems, tracking them, and enabling fast decision-making based on analytical solutions.
    • Leveraging new technologies and methodologies to enhance the data platform and improve company performance in collaboration with Data Team
    • Ensuring data quality and accuracy in collaboration with other Analysts


    Why Tylko?

    Being a part of the Tylko team goes beyond clocking in every day and keeping your head down. We celebrate inclusivity and work together to build a culture of happy, healthy employees who are truly heard, and provide the following great benefits for every single member:

    • One bonus day off every month
    • Comprehensive healthcare
    • Multisport
    • A discount on all Tylko products
    • And of course, a dog-friendly office!


    Job requirements

    Experience (+10 yrs) in:

    • e-commerce
    • traffic and conversion analytics
    • attribution modeling and ROI’s
    • manipulating and analyzing structured and unstructured data with SQL (any SQL dialect, but BigQuery SQL desired), Excel, Google Sheets, etc.
    • developing front-end reporting with Business Intelligence suites (such as Data Studio, Tableau, PowerBI, Looker, Qlikview, etc.)
    • using basic principles of statistics and mathematics
    • professional communication in Polish and English

    Key attributes:

    • Excellent analytical and problem-solving skills
    • Strong communication skills (oral and written)
    • Ability to work autonomously, but within a team
    • Sense of humor :)

    It would be an additional plus if you know:

    • the specifics of product-based e-commerce and how to navigate within such an industry
    • how to apply econometric principles in practice
    • Google Stack Tools such as: Google Tag Manager, Google Analytics/GA4, Google Firebase, Google Sheets, Google Apps Script, Google Cloud Platform (BigQuery, Cloud Functions, Pub/Sub)
    • Python or R
    • how to manage a project


    Please kindly note that the role requires working 3 days per week from our Warsaw office.

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