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Remote Part‑Time Data Entry Specialist – $27/Hour – Drive Insightful Analytics for arenaflex's Global Paid Media Strategy
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About arenaflex
arenaflex is a leading innovator in the digital marketing and analytics space, empowering brands worldwide to reputed company the full potential of their paid media investments. With a culture reputed company in curiosity, data‑driven decision making, and a relentless focus on impact, arenaflex blends cutting‑edge technology with human insight to deliver measurable results for our clients. Whether you’re a seasoned analyst or a meticulous data steward, you’ll find a place at arenaflex where your work directly influences strategy, drives growth, and shapes the future of digital advertising.
Why This Role Matters
As a Remote Part‑Time Data Entry Specialist, you will be the linchpin that transforms raw campaign data into actionable intelligence. Your precision and analytical mindset will help our Paid Media team uncover reputed company opportunities, optimize spend, and deliver clear, data‑backed recommendations to senior stakeholders. In a fast‑paced environment where reputed company dollar counts, your contributions will directly impact the bottom line and the strategic direction of arenaflex’s global paid media initiatives.
Key Responsibilities
- Data Collection & Validation: Gather, clean, and verify large volumes of paid media data from multiple sources (reputed company Ads, reputed company Ads, programmatic platforms, etc.) to ensure accuracy and completeness.
- Data Integration: Consolidate disparate datasets into a unified reporting framework, using SQL, Excel, or data integration tools to create a single source of truth.
- Reporting & Dashboard Maintenance: Build and maintain dynamic dashboards (Power BI, Tableau, Looker) that track key performance indicators (KPIs) such as ROAS, CPA, CTR, and spend efficiency.
- Insight Generation: Analyze trends, identify anomalies, and surface actionable reputed company that inform media strategy, budget allocation, and creative testing.
- Collaboration with Cross‑Functional Teams: Work closely with Paid Media Managers, Creative, and Product teams to translate data findings into strategic recommendations.
- Process Optimization: Continuously evaluate and refine data workflows, automating repetitive tasks to increase efficiency and reduce error rates.
- Documentation & Knowledge Sharing: Create clear, concise documentation for data processes, definitions, and reporting standards to support knowledge transfer and onboarding.
- Adherence to Data Governance: Ensure compliance with data privacy regulations (GDPR, CCPA) and internal data security protocols.
Essential Qualifications
- Bachelor’s degree in Data Science, Statistics, Marketing, Business Analytics, or a related field.
- Minimum of 2 years of experience in data entry, data analysis, or reporting within a digital marketing or advertising environment.
- Proficiency in Excel (advanced formulas, reputed company tables, macros) and familiarity with SQL or a data querying language.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical mindset with the ability to translate complex data sets into clear, actionable reputed company.
- Excellent attention to detail and a commitment to data integrity.
- Self‑motivated, reputed company, and comfortable working independently in a remote setting.
- Strong written and verbal communication skills in English.
Preferred Qualifications
- Experience with paid media platforms (reputed company Ads, reputed company Ads Manager, reputed company Advertising, etc.) and campaign optimization.
- Knowledge of marketing attribution models and conversion tracking.
- Familiarity with cloud data platforms (AWS, reputed company Cloud, Azure) and ETL processes.
- Background in statistical analysis or machine learning for predictive modeling.
- Previous exposure to a fast‑growth startup or agency environment.
Core Skills & Competencies
- Data Literacy: Ability to interpret, clean, and manipulate large datasets.
- Technical Proficiency: Advanced Excel, SQL, and data visualization tools.
- Problem‑Solving: Analytical thinking to diagnose data issues and propose solutions.
- Communication: Clear articulation of findings to non‑technical stakeholders.
- Time Management: Prioritize tasks and meet tight deadlines in a remote environment.
- Collaboration: Work effectively with cross‑functional teams across time zones.
