Part-Time Remote Data Entry Analyst – Paid Media Analytics & Business Intelligence (careerzynith)

About careerzynith

careerzynith is a global technology and e‑commerce leader that has redefined how millions of consumers shop, stream content, and interact with digital services. With a heritage of relentless innovation, careerzynith operates at the intersection of cloud computing, artificial intelligence, and data‑driven commerce. The company’s remote‑first philosophy empowers talent across the United States to collaborate from anywhere, while maintaining the high‑performance culture that fuels its market‑leading growth. As a part‑time remote employee, you will join a diverse, inclusive community that values curiosity, accountability, and continuous learning.

Role Overview

careerzynith is seeking a detail‑oriented, self‑motivated Part‑Time Remote Data Entry Analyst to support the Paid Media Analytics team. In this role, you will help surface actionable insights that drive smarter media spend, improve campaign efficiency, and enhance overall marketing performance. You will work closely with cross‑functional teams—including product, finance, and marketing—to translate raw data into clear, strategic recommendations. This position is fully remote, based in New Jersey, USA, with a flexible 8‑hour weekly schedule and a competitive hourly rate of $26.

Key Responsibilities

• Data Collection & Entry: Accurately ingest, clean, and maintain large volumes of paid‑media data from internal platforms and external sources.
• Insight Generation: Transform raw data into concise reports, dashboards, and scorecards that highlight spend efficiency, ROI, and key performance indicators (KPIs).
• Collaboration with Marketing Teams: Partner with paid‑media, product, and finance stakeholders to identify optimization opportunities and align on measurement frameworks.
• Ad‑hoc Analysis: Conduct deep‑dive investigations using SQL, MicroStrategy, Tableau, and Power BI to answer complex business questions.
• Strategic Recommendations: Present data‑driven recommendations that influence media mix, budget allocation, and campaign tactics.
• Cross‑Functional Support: Serve as a liaison between analytics, product, and finance teams to ensure consistent data definitions and reporting standards.
• Tool Development & Maintenance: Build and maintain automated reporting pipelines, ensuring data integrity and timely delivery of insights.
• Continuous Improvement: Identify gaps in existing data processes and propose enhancements that increase efficiency and accuracy.

Essential Qualifications

• Bachelor’s degree in Data Science, Business Analytics, Finance, Statistics, Computer Science, or a related field.
• Minimum 2 years of professional experience in business analytics, data analysis, or consulting within an e‑commerce or digital advertising environment.
• Advanced proficiency in SQL, including complex joins, sub‑queries, and performance tuning.
• Hands‑on experience with at least one modern BI/visualization tool (e.g., Tableau, Power BI, QuickSight, or MicroStrategy).
• Demonstrated ability to translate data into clear, actionable business insights for senior leadership.
• Strong analytical mindset with a passion for numbers, metrics, and performance optimization.
• Excellent written and verbal communication skills, capable of presenting technical findings to non‑technical audiences.

Preferred Qualifications & Skills

• Experience working in a fast‑paced, remote‑first environment with cross‑functional teams.
• Familiarity with paid‑media platforms (e.g., Google Ads, Amazon Advertising, Meta Ads) and their reporting APIs.
• Proficiency in Python for data manipulation, statistical analysis, or automation of repetitive tasks.
• Exposure to additional programming languages such as Java, C#, R, or SAS.
• Knowledge of Adobe Analytics or similar web‑analytics tools.
• Demonstrated ability to manage multiple priorities, meet tight deadlines, and work independently with minimal supervision.
• Experience in subscription‑based or media‑content businesses is a plus.
• Curiosity about emerging data‑science techniques, machine‑learning concepts, and their practical application to marketing analytics.

Technical Skills & Tools

• SQL (advanced)
• BI platforms: Tableau, Power BI, MicroStrategy, QuickSight
• Data manipulation & scripting: Python (pandas, NumPy), optional R or SAS
• Data visualization best practices
• Familiarity with cloud data warehouses (e.g., Amazon Redshift, Snowflake)
• Version control (Git) for collaborative code development
• Basic understanding of statistical testing and experiment design

Compensation, Perks & Benefits

careerzynith offers a competitive hourly wage of $26 for this part‑time role, reflecting the expertise and impact you will bring to the organization. In addition to base compensation, you will enjoy a suite of benefits that support both your professional growth and personal well‑being:

• Health & Wellness: Comprehensive medical, dental, and vision coverage for eligible employees and their families.
• Retirement Savings: 401(k) plan with company matching to help you build long‑term financial security.
• Equity Participation: Opportunity to receive stock options, aligning your success with careerzynith’s continued growth.
• Paid Time Off: Generous vacation, sick leave, and holidays to maintain work‑life balance.
• Employee Discounts: Exclusive savings on careerzynith products and services.
• Learning & Development: Access to tuition reimbursement, online courses, and internal training programs.
• Career Advancement: Clear pathways for promotion within the analytics, product, and finance tracks.
• Parental Leave: Paid parental leave to support new parents during critical life moments.
• Well‑Being Programs: Mental‑health resources, employee assistance programs (EAP), and wellness challenges.
• Flexible Work Arrangements: Fully remote work model with a collaborative virtual environment.

Culture & Work Environment at careerzynith

careerzynith prides itself on a culture that blends high performance with genuine care for its people. Employees are encouraged to bring their authentic selves to work, share ideas openly, and challenge the status quo. The company’s remote‑first strategy is backed by robust digital collaboration tools, regular virtual “coffee chats,” and quarterly in‑person meet‑ups to foster community. Diversity, equity, and inclusion are not just buzzwords; they are embedded in hiring practices, leadership development, and everyday interactions. As a part‑time analyst, you will be fully integrated into the team, receiving the same mentorship, recognition, and growth opportunities as full‑time colleagues.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. In this role, you will have access to:

• Mentorship from senior data scientists and analytics leaders.
• Cross‑functional projects that broaden exposure to product strategy, finance, and marketing.
• Internal certification programs for advanced analytics, cloud platforms, and data‑visualization tools.
• Opportunities to present findings to executive leadership, sharpening your storytelling and influencing skills.
• Pathways to transition into full‑time analytics, data engineering, or product management positions as your career evolves.

How to Apply

If you are a data‑driven professional who thrives in a remote environment, enjoys turning numbers into narratives, and wants to make a tangible impact on paid‑media performance, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith. Click the link below to start your application journey.

Apply Now – Join careerzynith Today!