Senior Business Insight Examiner – Remote Part‑Time Data Entry Specialist for careerzynith Retail Media Analytics
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About careerzynith
careerzynith is a fast‑growing leader in the retail media space, powering the fourth‑largest organization in the United States with data‑driven advertising solutions that connect brands, retailers, and shoppers in real time. Our mission is to transform raw data into actionable insights that fuel smarter marketing decisions, improve shopper experiences, and drive measurable ROI. As a fully remote‑first company, careerzynith embraces flexibility, innovation, and a culture of continuous learning. Whether you are a seasoned data professional or an emerging talent, you will find a supportive environment where your curiosity is celebrated and your impact is visible across the entire retail ecosystem.
Why This Role Matters
In today’s hyper‑connected retail landscape, accurate and timely data is the lifeblood of every strategic decision. As a Senior Business Insight Examiner, you will be the guardian of data quality, the architect of clear visualizations, and the trusted partner for cross‑functional teams that rely on precise information to launch campaigns, optimize product placements, and measure performance. Your work will directly influence how millions of shoppers discover products, how brands allocate budgets, and how careerzynith continues to set the standard for retail media excellence.
Key Responsibilities
Data Extraction & Consolidation
Identify, retrieve, and aggregate data from a variety of internal and external sources, including SQL databases, third‑party APIs, and cloud‑based data warehouses.
Transform raw data sets into clean, structured formats ready for analysis, ensuring consistency across all reporting layers.
Develop and maintain automated pipelines that reduce manual effort and increase data reliability.
Insightful Reporting & Dashboard Development
Design, build, and maintain interactive dashboards using industry‑standard visualization tools such as Tableau, Power BI, and Looker.
Translate complex data trends into clear, concise narratives that empower stakeholders to make data‑driven decisions.
Produce regular performance reports that highlight key metrics, anomalies, and actionable recommendations for marketing, product, and executive teams.
Cross‑Functional Collaboration
Partner with product managers, campaign strategists, and engineering teams to understand data needs and deliver tailored solutions.
Provide subject‑matter expertise on data‑related projects, offering guidance on best practices for data collection, storage, and analysis.
Facilitate knowledge‑sharing sessions to elevate data literacy across the organization.
Data Quality Assurance & Governance
Implement rigorous quality‑control processes, including validation checks, anomaly detection, and root‑cause analysis.
Document data lineage, definitions, and governance policies to ensure transparency and compliance with internal standards.
Proactively identify potential data integrity issues and recommend corrective actions to mitigate risk.
Continuous Improvement & Innovation
Stay abreast of emerging technologies, analytical methodologies, and industry trends that could enhance careerzynith’s data capabilities.
Champion the adoption of new tools and techniques that streamline workflows, improve accuracy, or unlock new analytical insights.
Contribute to the evolution of careerzynith’s data strategy by sharing ideas, participating in hackathons, and collaborating on pilot projects.
Essential Qualifications
4+ years of hands‑on experience with SQL in large‑scale query environments, including performance tuning and complex joins.
4+ years of experience with data visualization platforms such as Tableau, Power BI, Looker, or comparable tools, with a proven track record of delivering executive‑level dashboards.
4+ years of experience leading data analysis initiatives, from requirement gathering through to insight delivery.
Proficiency in Microsoft Office Suite, especially Excel (advanced functions, pivot tables, Power Query) and PowerPoint for presenting findings.
Demonstrated ability to work independently in a remote setting while maintaining high levels of productivity and communication.
Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
Preferred Qualifications
Experience with programmatic advertising technology stacks, including DMPs, DSPs, SSPs, Google Cloud Platform, or Adobe Advertising Cloud.
Familiarity with cloud‑based data platforms such as Snowflake, BigQuery, or Redshift.
Knowledge of statistical analysis tools (e.g., R, Python, SAS) to perform deeper quantitative investigations.
Prior exposure to retail media or e‑commerce environments, understanding the unique data challenges of product listings, promotions, and shopper behavior.
Strong collaborative mindset with a history of successful teamwork across diverse functional groups.
Education
Bachelor’s degree in Business Analytics, Computer Science, Statistics, Economics, or a related field; or equivalent professional experience.
High‑school diploma combined with at least 4 years of relevant work experience may be considered for exceptionally qualified candidates.
Skills & Competencies for Success
Analytical Rigor: Ability to dissect large data sets, spot patterns, and draw meaningful conclusions.
Detail Orientation: Meticulous attention to data accuracy, documentation, and reporting standards.
Problem‑Solving: Proactive identification of data gaps and creative development of solutions.
Communication: Clear articulation of insights, both in writing and verbally, tailored to varied audiences.
Time Management: Efficient handling of multiple priorities, meeting deadlines in a fast‑paced environment.
Technical Curiosity: Enthusiasm for learning new tools, languages, and methodologies.
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 analytics leaders.
Annual learning stipend for certifications, conferences, or online courses.
Opportunities to lead high‑visibility projects that influence company‑wide strategy.
Clear promotion pathways toward senior analyst, data engineering, or product analytics leadership roles.
Cross‑departmental rotations to broaden your expertise in marketing technology, product management, and business operations.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, autonomy, and collaboration. Key aspects include:
Flexibility: Choose your own work hours within a core collaboration window, allowing you to balance personal commitments.
Inclusive Community: Regular virtual coffee chats, team‑building activities, and employee resource groups that celebrate diversity.
Innovation‑Driven Mindset: We encourage experimentation, and successful pilots are quickly scaled across the organization.
Health & Well‑Being: Comprehensive mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $21 per hour for this part‑time, remote position, along with a benefits package that includes:
Performance‑based bonuses tied to data quality and project milestones.
Health, dental, and vision insurance options (eligible employees).
Retirement savings plan with company matching contributions.
Paid time off, holidays, and sick days to support work‑life balance.
Technology allowance for home‑office equipment, high‑speed internet, and software subscriptions.
Access to a robust learning platform for continuous skill development.
How to Apply
If you are a detail‑oriented data professional who thrives in a remote environment and wants to make a tangible impact on the retail media industry, we want to hear from you. Join careerzynith’s dynamic team and help shape the future of data‑driven advertising.
Apply Now and start your journey with careerzynith today!
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Apply for this job
About careerzynith
careerzynith is a fast‑growing leader in the retail media space, powering the fourth‑largest organization in the United States with data‑driven advertising solutions that connect brands, retailers, and shoppers in real time. Our mission is to transform raw data into actionable insights that fuel smarter marketing decisions, improve shopper experiences, and drive measurable ROI. As a fully remote‑first company, careerzynith embraces flexibility, innovation, and a culture of continuous learning. Whether you are a seasoned data professional or an emerging talent, you will find a supportive environment where your curiosity is celebrated and your impact is visible across the entire retail ecosystem.
Why This Role Matters
In today’s hyper‑connected retail landscape, accurate and timely data is the lifeblood of every strategic decision. As a Senior Business Insight Examiner, you will be the guardian of data quality, the architect of clear visualizations, and the trusted partner for cross‑functional teams that rely on precise information to launch campaigns, optimize product placements, and measure performance. Your work will directly influence how millions of shoppers discover products, how brands allocate budgets, and how careerzynith continues to set the standard for retail media excellence.
Key Responsibilities
Data Extraction & Consolidation
Identify, retrieve, and aggregate data from a variety of internal and external sources, including SQL databases, third‑party APIs, and cloud‑based data warehouses.
Transform raw data sets into clean, structured formats ready for analysis, ensuring consistency across all reporting layers.
Develop and maintain automated pipelines that reduce manual effort and increase data reliability.
Insightful Reporting & Dashboard Development
Design, build, and maintain interactive dashboards using industry‑standard visualization tools such as Tableau, Power BI, and Looker.
Translate complex data trends into clear, concise narratives that empower stakeholders to make data‑driven decisions.
Produce regular performance reports that highlight key metrics, anomalies, and actionable recommendations for marketing, product, and executive teams.
Cross‑Functional Collaboration
Partner with product managers, campaign strategists, and engineering teams to understand data needs and deliver tailored solutions.
Provide subject‑matter expertise on data‑related projects, offering guidance on best practices for data collection, storage, and analysis.
Facilitate knowledge‑sharing sessions to elevate data literacy across the organization.
Data Quality Assurance & Governance
Implement rigorous quality‑control processes, including validation checks, anomaly detection, and root‑cause analysis.
Document data lineage, definitions, and governance policies to ensure transparency and compliance with internal standards.
Proactively identify potential data integrity issues and recommend corrective actions to mitigate risk.
Continuous Improvement & Innovation
Stay abreast of emerging technologies, analytical methodologies, and industry trends that could enhance careerzynith’s data capabilities.
Champion the adoption of new tools and techniques that streamline workflows, improve accuracy, or unlock new analytical insights.
Contribute to the evolution of careerzynith’s data strategy by sharing ideas, participating in hackathons, and collaborating on pilot projects.
Essential Qualifications
4+ years of hands‑on experience with SQL in large‑scale query environments, including performance tuning and complex joins.
4+ years of experience with data visualization platforms such as Tableau, Power BI, Looker, or comparable tools, with a proven track record of delivering executive‑level dashboards.
4+ years of experience leading data analysis initiatives, from requirement gathering through to insight delivery.
Proficiency in Microsoft Office Suite, especially Excel (advanced functions, pivot tables, Power Query) and PowerPoint for presenting findings.
Demonstrated ability to work independently in a remote setting while maintaining high levels of productivity and communication.
Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
Preferred Qualifications
Experience with programmatic advertising technology stacks, including DMPs, DSPs, SSPs, Google Cloud Platform, or Adobe Advertising Cloud.
Familiarity with cloud‑based data platforms such as Snowflake, BigQuery, or Redshift.
Knowledge of statistical analysis tools (e.g., R, Python, SAS) to perform deeper quantitative investigations.
Prior exposure to retail media or e‑commerce environments, understanding the unique data challenges of product listings, promotions, and shopper behavior.
Strong collaborative mindset with a history of successful teamwork across diverse functional groups.
Education
Bachelor’s degree in Business Analytics, Computer Science, Statistics, Economics, or a related field; or equivalent professional experience.
High‑school diploma combined with at least 4 years of relevant work experience may be considered for exceptionally qualified candidates.
Skills & Competencies for Success
Analytical Rigor: Ability to dissect large data sets, spot patterns, and draw meaningful conclusions.
Detail Orientation: Meticulous attention to data accuracy, documentation, and reporting standards.
Problem‑Solving: Proactive identification of data gaps and creative development of solutions.
Communication: Clear articulation of insights, both in writing and verbally, tailored to varied audiences.
Time Management: Efficient handling of multiple priorities, meeting deadlines in a fast‑paced environment.
Technical Curiosity: Enthusiasm for learning new tools, languages, and methodologies.
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 analytics leaders.
Annual learning stipend for certifications, conferences, or online courses.
Opportunities to lead high‑visibility projects that influence company‑wide strategy.
Clear promotion pathways toward senior analyst, data engineering, or product analytics leadership roles.
Cross‑departmental rotations to broaden your expertise in marketing technology, product management, and business operations.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, autonomy, and collaboration. Key aspects include:
Flexibility: Choose your own work hours within a core collaboration window, allowing you to balance personal commitments.
Inclusive Community: Regular virtual coffee chats, team‑building activities, and employee resource groups that celebrate diversity.
Innovation‑Driven Mindset: We encourage experimentation, and successful pilots are quickly scaled across the organization.
Health & Well‑Being: Comprehensive mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $21 per hour for this part‑time, remote position, along with a benefits package that includes:
Performance‑based bonuses tied to data quality and project milestones.
Health, dental, and vision insurance options (eligible employees).
Retirement savings plan with company matching contributions.
Paid time off, holidays, and sick days to support work‑life balance.
Technology allowance for home‑office equipment, high‑speed internet, and software subscriptions.
Access to a robust learning platform for continuous skill development.
How to Apply
If you are a detail‑oriented data professional who thrives in a remote environment and wants to make a tangible impact on the retail media industry, we want to hear from you. Join careerzynith’s dynamic team and help shape the future of data‑driven advertising.
Apply Now and start your journey with careerzynith today!
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Apply for this job