Job Description:
As part of the Data team, the Senior Associate, Data Enablement role is responsible for ensuring accuracy, consistency, and reliability across the full data lifecycle. This position blends practical data engineering skills with a strong focus on data quality, process improvement, and support for business and analytics needs. The role helps maintain clean, well-structured data by validating inputs, monitoring workflows, and ensuring outputs meet organizational standards. Responsibilities include supporting data ingestion processes, refining pipelines, and enabling clear, trusted data for internal teams and global partners.
Responsibilities
- Design and manage processes for capturing and ingesting data from multiple sources.
- Maintain and improve ETL/ELT workflows to ensure they run efficiently and reliably.
- Work with data models and structured schemas to support clear and consistent reporting.
- Validate and monitor data throughout pipelines, including checks for completeness, accuracy, and structural consistency.
- Create and maintain alerts, checks, and dashboards to help identify issues early.
- Help document and support data governance practices related to data intake and processing.
- Translate technical workflows into clear outputs, dashboards, and resources for end users.
- Collaborate with analysts, media teams, and business partners to ensure data structures meet their needs.
- Support and enhance internal tools that surface data quality issues and provide visibility to stakeholders.
- Assist in managing mapping tables, error logs, data lineage references, and validation checks.
- Contribute to developing and maintaining data pipelines and related tools within the organization’s technology stack.
- Use version control to manage changes, maintain transparency, and support team collaboration.
- Help identify opportunities for automation that improve consistency and reduce manual workload.
- Maintain thorough documentation to support transparency, continuity, and team alignment.
- Collaborate with teammates to improve processes, scale data operations, and create a positive experience for data consumers.
Qualifications
- Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or a related field
- At least 1-2 years required in data enablement, data engineering, analytics engineering, or a related field.
- At least one year of strong working knowledge of SQL and Python to build, automate, and validate data pipelines, perform analysis, and troubleshoot data quality issues across large datasets.
- Experience with ETL/ELT tools or workflow oriented systems.
- Familiarity with Microsoft’s data ecosystem (e.g., data storage, reporting, or workflow tools).
- Experience using version control for managing code and collaborating on data related changes.
- Experience integrating external or third party data sources.
- Understanding of data quality practices, including validation checks, monitoring, and reconciliation.
- Ability to communicate clearly with both technical and non-technical partners.
- Demonstrated ability to learn quickly, solve ambiguous problems, and work independently.
- Strong organizational and time management skills.
At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
The annual salary range for this position is $65,000-$75,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
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Location:
Detroit - 3000 Town CenterBrand:
CaratTime Type:
Full timeContract Type:
PermanentDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
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