dentsu

Senior Data Quality Analyst

Posted 19 days ago

Job summary

  • Job post source

    This job is directly from dentsu

  • Job overview

    The Senior Data Quality Analyst at dentsu leads QA testing and data quality initiatives to ensure high standards across data systems, impacting data integrity and project success.

  • Responsibilities and impact

    The role involves defining QA testing scope, writing test plans, executing various tests including functional and regression, debugging and tracking defects, monitoring data quality, developing dashboards, auditing data pipelines, managing QA team activities, and supporting project management.

  • Compensation and benefits

    The position offers an annual salary range of $78,000-$126,500 with placement based on experience, plus benefits including medical, vision, dental, life insurance, disability insurance, 401k, flexible PTO, paid holidays, sick leave, and parental leave.

  • Experience and skills

    Candidates need a Bachelor's in Computer Science or related field, 5+ years in QA/testing, proficiency in SQL, experience with Azure Data Lake and Data Factory, leadership skills, and knowledge of data security and privacy regulations; Azure certifications and CRM or cloud experience are pluses.

  • Work environment and culture

    Dentsu promotes equal employment opportunities, supports diversity, and provides accommodations for disabilities, fostering an inclusive and supportive work environment.

  • Company information

    Dentsu is a global marketing and advertising company with a commitment to diversity, equity, and inclusion, offering services in data engineering and digital marketing through brands like Merkle.

  • Team overview

    The candidate will report to the VP, Data Engineering Lead and manage onshore and offshore QA testers, indicating a leadership role within a distributed QA team.

  • Job location and travel

    This is a remote-friendly position based in Ohio, USA, allowing flexible work arrangements.

  • Application process

    Applicants should apply via the 'Apply' button on the job posting; applications are reviewed continuously and qualified candidates contacted for next steps.

  • Unique job features

    The role includes managing end-to-end QA release cycles, working with advanced Azure and Microsoft Fabric technologies, and involvement in data quality standards and remediation strategies, distinguishing it from typical QA roles.

Company overview

Dentsu is a global advertising and public relations company headquartered in Tokyo, Japan. It offers a wide range of services including digital marketing, media planning, content creation, and brand strategy. Dentsu generates revenue by providing integrated marketing solutions to clients across various industries, leveraging its extensive network and technological capabilities. Founded in 1901, Dentsu has a rich history of innovation and expansion, becoming one of the largest advertising agencies in the world. The company is known for its commitment to creativity and data-driven marketing strategies.

How to land this job

  • Tailor your resume to emphasize your extensive experience in QA testing, including writing test plans, designing test cases, and driving end-to-end QA release cycles, as these are central to the Senior Data Quality Analyst role at dentsu.

  • Highlight your proficiency with SQL, Azure Data Lake, Azure Data Factory, and your leadership experience managing QA teams, since these technical skills and leadership abilities are explicitly required.

  • Apply through multiple channels such as the dentsu corporate careers site and LinkedIn to maximize your chances of being noticed for this remote-friendly position.

  • Connect with current employees in the Data Engineering or QA divisions at dentsu on LinkedIn; use ice breakers like commenting on recent Azure or data quality initiatives at dentsu or asking about their experience working with Databricks on Azure to start a conversation.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'QA testing,' 'Azure Data Factory,' 'SQL,' 'data quality standards,' 'Databricks on Azure,' and 'data profiling' to ensure your resume passes automated screenings.

  • Use Jennie Johnson's Power Apply feature to automate tailoring your resume, applying through multiple job portals, and identifying relevant LinkedIn contacts to network with, saving you valuable time and increasing your chances of landing the role at dentsu.

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