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  • Big Data Analyst
    New
    Data

    Big Data Analyst

    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      AWS

      regular

      PySpark

      regular

      Power BI

      regular

      Azure

      regular

      Google Cloud

      regular

      SQL

      regular

      Python

      regular

      data analysys

      regular

      Business Intelligence

      regular

      Big Data

      regular

    Job description

    Online interview

    Role Overview:

    As a Big Data Analyst, you will be at the forefront of analyzing vast volumes of real-time data from diverse systems, including parcel lockers, package lifecycle, transportation, user communication and similar topics relative to InPost Group products. This role spans across Poland and extends to 7 international markets, offering a unique opportunity to impact our global operations significantly. We offer remote work.

     

    Key Responsibilities:

    • Analytical Product Development: Lead the creation of analytical products from inception through delivery, utilizing a deep understanding of business needs across multiple markets. Your work will drive strategic decisions and optimize operations globally.
    • Real-Time Data Processing: Harness large-scale, real-time data from various sources to generate actionable insights, recommendations, and reports. Your analysis will support continuous improvements in parcel delivery and customer interaction.
    • Cross-Functional Collaboration: Work closely with business units to understand their needs, define key performance indicators (KPIs), and establish the necessary data sources and methodologies. Partner with data providers and developers to ensure seamless integration and processing of critical data.
    • Data Governance and Documentation: Take charge of data governance, ensuring data integrity and consistency across the board. Your documentation will guide best practices and support data-driven decision-making processes.


    Analytical Process:

    • Engage with business units to identify KPIs and initiate projects.
    • Determine the availability of data in our data lakehouse and identify or define necessary data structures.
    • Perform iterative data analysis, including understanding, transforming, and aggregating data to establish KPIs.
    • Develop recommendations for data models and collaborate on report building and data visualization.
    • Lead the operationalization of data calculations and ensure comprehensive documentation and data governance.


    Collaboration and Technology:

    • Translate business requirements into data needs, defining data models and setting standards for data providers.
    • Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a wide range of competencies for project needs.
    • Utilize the latest technologies, including Azure, Google Cloud, Databricks, pySpark, and Power BI, to analyze data and generate insights.

     

    Job Requirements:

    • Education: Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Statistics, etc.).
    • Experience: At least 3 years of experience in data analysis, business intelligence, or related areas, preferably with exposure to global or multi-market operations.

    Technical Skills:

    • Proficiency in PySpark, SQL and Python.
    • Familiarity with cloud platforms (Azure, AWS, Google Cloud) and big data technologies.
    • Experience with data visualization tools (e.g., Power BI, Tableau).

    Analytical and Strategic Thinking:


    Strong ability to analyze large datasets and generate actionable insights. Good business acumen to understand company goals and KPIs.

    Data Governance: Knowledge of data governance principles and practices.

    Communication: Excellent communication skills, able to present complex data insights clearly.

    Collaboration: Team player with experience working in cross-functional teams.

    Languages: Proficiency in English is required. Additional language skills are a plus

    Why Join Us?

    • Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.
    • Innovation: Be part of a team that's pushing the boundaries of data analytics, working with the latest technologies and methodologies.
    • Growth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment.
    • Collaboration: Engage with cross-functional teams and share knowledge and best practices, fostering a culture of continuous learning and improvement.


    We're looking for individuals who are not just looking for a job, but a mission. Join us as a Big Data Analyst and be a part of our journey to redefine logistics and customer experience through the power of big data



    Benefits

    • Flexible work
    • Contract selection
    • Cafeteria worksmile
    • Language learning platform
    • Conceptual freedom
    • Employee Referral Program
    • Promotion opportunity
    • Initiatives and competitions for employees



    InPost Group is an innovative European out of home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers provides customers with a fast, convenient,

    and secure delivery option.

    InPost Group is a publicly traded company, with a market capitalization of about $5 billion as of March 2023. With over 10,000 employees worldwide, InPost Group is one of the largest out of home delivery providers in Europe, committed to providing sustainable and efficient delivery solutions to meet the evolving needs of customers in today's rapidly changing landscape.


    Undisclosed Salary

    B2B

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