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    Data Quality Analyst
    new
    Data
    Webellian Sp.z o o

    Data Quality Analyst

    Webellian Sp.z o o

    Warszawa
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B, Permanent
    Operating mode
    Hybrid

    Tech stack

      Change Management

      regular

      Quality Management

      regular

      Compliance

      regular

      Data protection

      regular

      Agile Scrum

      regular

      Project Management

      regular

    Job description

    Online interview
    Friendly offer

    About the Webellian

    Webellian is a well-established Digital transformation and IT consulting company committed to creating a positive impact for our clients. We are driven by shared values, strong principles, and a passion for innovative and disruptive technologies. We are a community of truly passionate engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.


    About the role

    The Data Quality Analyst plays a pivotal role in unlocking the power of our Client’s data. He / She collaborates with key stakeholders across the organization to gather their needs, then dive deep into various data sources to extract valuable insights that inform business decisions across all LoBs and Business Functions. He / She supports the Data Quality Manager in the remediation process by analyzing, collecting, cleaning, and interpreting data sets to answer questions or solve problems related to Data Quality. The role of the Data Quality Analyst in collaborating with data stewards is essential to define data ownership and accountability for Critical Data Elements.


    Responsibilities:

    • Handle and model large datasets, solve complex problems, and answer critical business questions through data analysis.
    • Develop strategies to identify, acquire, and utilize the right data sets to create solutions and support informed decision-making
    • Design and execute data quality checks and audits to identify inconsistencies and errors in data sets.
    • Craft clear and insightful visualizations to effectively communicate your findings and translate data into actionable recommendations.
    • Extract, integrate, and manipulate data to build data pipelines, automate reports and dashboards, and empower internal stakeholders with self-service tools.
    • Own, design, develop, document, and manage scalable solutions for key metrics, reports, analyses, and dashboards that drive business success.
    • Develop queries and data visualizations to fulfill ad hoc requests, recurring reports, troubleshooting needs, and ongoing projects.
    • Apply data mining, modeling, warehousing, and other analytical techniques to develop and manage customer segmentation and predictive models that fuel business growth.
    • Work closely with Lines of Business (LOBs) and Business Units (BUs) to understand their analytical needs, identify critical metrics/KPIs, and deliver actionable insights to Data / Business owners.
    • Collect, merge, and clean data from diverse sources to prepare data for company’s Data Platform


    Monitoring Critical Data Elements (CDEs):

    • Develop and implement automated processes to monitor the quality of CDEs in real-time (or near real-time). This could involve setting up thresholds and alerts for metrics like data completeness, accuracy, consistency, and timeliness.
    • Regularly analyze trends in CDE quality metrics to identify potential issues and proactively address them before they impact downstream processes.
    • Investigate and troubleshoot root causes of CDE quality issues, working with data owners and stakeholders to resolve them.


    Data Profiling:

    • Conduct data profiling exercises on new and existing data sets to understand their structure, content, and quality characteristics. This includes analyzing data types, value distributions, presence of missing values, outliers, and potential inconsistencies.
    • Use data profiling insights to define data quality rules and identify potential areas of risk or non-compliance with regulations
    • Leverage data profiling techniques to identify hidden patterns, trends, and relationships within the data that can be used to improve business processes and inform decision making
    • Document data profiling results and share them with relevant stakeholders to promote data understanding and usage


    Education / Certifications

    • Agile Scrum, OPEX, Six Sigma and/or Project Management Professional (PMP) designation
    • Demonstrable experience in transformation programs; change management trainings
    • Excellent communication and relationship management skills
    • Understanding of local and regional labor laws and regulations


    What we offer

    • Contract under Polish law: B2B or Umowa o Pracę
    • Benefits such as private medical care, group insurance, Multisport
    • Hybrid work in Warsaw
    • Opportunity to work with excellent professionals
    • High standards of work and focus on the quality of code
    • New technologies in use
    • Continuously learning and growth
    • International team
    • Pinball, PlayStation & much more (on-site 🤫)


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    Webellian is a well-established Digital transformation and IT consulting company committed to creating a positive impact...more

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