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About careerzynith – Pioneering Retail Media Innovation
careerzynith is a fast‑growing leader in the retail media space, delivering data‑driven advertising solutions for some of the largest retailers in the United States. As the fourth‑largest organization in the country, careerzynith combines cutting‑edge technology, deep industry expertise, and a culture of relentless curiosity to help brands reach shoppers at the moment of purchase. Our remote‑first philosophy empowers talented professionals to work from anywhere while staying connected to a vibrant, collaborative community of innovators.
Why This Role Matters
As a Senior Business Knowledge Examiner – Data Entry for careerzynith, you will be the backbone of our retail media arm, turning raw data into actionable insights that drive campaign performance, product visibility, and revenue growth. This part‑time, remote position offers a competitive hourly rate of $21 and the flexibility to balance work with personal commitments. If you thrive on precision, love digging into data, and enjoy collaborating with cross‑functional teams, this is your chance to make a tangible impact on a rapidly expanding business.
Key Responsibilities
- Information Extraction & Consolidation: Identify, retrieve, and aggregate data from multiple internal and external sources—including product catalogs, promotional calendars, and advertising platforms—and transform it into clean, structured datasets ready for analysis.
- Dashboard Development & Reporting: Build and maintain intuitive, visually compelling dashboards using tools such as Tableau, Power BI, or Looker that clearly communicate performance trends, inventory status, and campaign effectiveness to stakeholders at all levels.
- Cross‑Functional Collaboration: Partner with product, marketing, sales, and engineering teams to streamline data collection workflows, ensure consistency across reporting pipelines, and provide subject‑matter expertise on data‑related initiatives.
- Data Quality Assurance & Governance: Conduct rigorous quality‑control checks, resolve data anomalies, and document data lineage to uphold the accuracy, reliability, and integrity of all information used for decision‑making.
- Issue Identification & Mitigation: Proactively detect potential data gaps or inconsistencies, recommend corrective actions, and implement preventive measures to minimize future disruptions.
- Documentation & Knowledge Sharing: Create clear, concise documentation of data processes, standards, and best practices, and mentor junior team members on effective data handling techniques.
Essential Qualifications
- Minimum 4 years of experience writing complex SQL queries against large‑scale relational databases (e.g., Snowflake, Redshift, BigQuery) and optimizing query performance.
- At least 4 years of hands‑on experience with data visualization platforms such as Tableau, Power BI, Looker, or comparable tools, demonstrating the ability to translate raw data into actionable business insights.
- Proven track record of 4 years leading data analysis projects, from requirements gathering through delivery of final reports and recommendations.
- Strong proficiency with the Microsoft Office suite, especially Excel (advanced functions, pivot tables, macros) and PowerPoint for presenting findings to senior leadership.
- Demonstrated attention to detail, analytical mindset, and the ability to work independently in a remote environment while meeting tight deadlines.
Preferred Qualifications & Additional Skills
- Experience with programmatic advertising technology stacks, including DMPs, DSPs, SSPs, Google Cloud Platform, and Adobe Advertising Cloud.
- Familiarity with data engineering concepts such as ETL pipelines, data warehousing, and cloud‑based storage solutions.
- Strong interpersonal skills with a proven ability to collaborate effectively across diverse functional teams and communicate complex technical concepts to non‑technical audiences.
- Prior exposure to retail or e‑commerce environments, understanding of SKU-level data, promotional calendars, and inventory management processes.
- Certification or coursework in data science, analytics, or related fields (e.g., Google Data Analytics Certificate, Microsoft Certified: Data Analyst Associate).
Core Skills & Competencies
- Analytical Rigor: Ability to dissect large datasets, identify patterns, and draw meaningful conclusions that drive business strategy.
- Problem‑Solving: Creative approach to troubleshooting data inconsistencies and developing scalable solutions.
- Communication: Clear, concise writing and presentation skills for delivering insights to executives, product managers, and external partners.
- Time Management: Self‑discipline to prioritize tasks, manage multiple projects simultaneously, and meet agreed‑upon timelines.
- Technical Curiosity: Eagerness to stay current with emerging data tools, industry trends, and best practices in retail media analytics.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its team members. In this role, you will have access to:
- Mentorship from senior data scientists and product leaders who will help you deepen your analytical expertise.
- Sponsored training programs, webinars, and conferences focused on data analytics, retail technology, and digital advertising.
- Opportunities to transition into full‑time positions, senior analyst roles, or specialized tracks such as data engineering, product analytics, or business intelligence management.
- A clear career ladder that rewards performance with increased responsibility, leadership opportunities, and competitive compensation adjustments.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, flexibility, and collaboration. Key aspects of life at careerzynith include:
- Flexibility: Choose your own work hours within a core window to accommodate different time zones and personal commitments.
- Inclusive Community: Regular virtual coffee chats, team‑building activities, and an open‑door policy that encourages ideas from every level of the organization.
- Innovation‑Driven: A fast‑paced environment where data‑backed experimentation is celebrated, and every team member is empowered to propose new solutions.
- Supportive Leadership: Managers who provide clear expectations, frequent feedback, and a focus on employee well‑being.
Compensation, Perks & Benefits
While the base hourly rate for this part‑time role is $21, careerzynith offers a comprehensive benefits package that includes:
- Performance‑based bonuses and opportunities for wage growth as you take on additional responsibilities.
- Access to a health and wellness stipend, covering medical, dental, and vision plans for eligible employees.
- Paid time off, sick days, and holidays to ensure work‑life balance.
- Professional development budget for courses, certifications, and industry conferences.
- Remote work allowance for home office equipment, high‑speed internet, and ergonomic accessories.
- Employee assistance programs (EAP) offering counseling, financial advice, and mental‑health resources.
How to Apply
If you are ready to bring your data expertise to a dynamic, forward‑thinking organization and help shape the future of retail media, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant experience.
Apply Now – Join careerzynith Today!
Closing Statement
careerzynith is committed to building a diverse, equitable, and inclusive workforce. We encourage candidates of all backgrounds to apply. Your unique perspective will help us continue to innovate and deliver exceptional value to our retail partners and advertisers worldwide. Take the next step in your career—apply today and become a vital part of careerzynith’s data‑driven success story.
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