Remote Data Entry Specialist – $28/Hour – Drive Data Quality & Analytics for brighthush’s Global Data Science Team

About brighthush

brighthush is a trailblazing technology powerhouse that redefines how businesses harness data to drive growth, innovation, and customer delight. With a global footprint spanning the United States, Europe, and Asia, brighthush empowers enterprises across finance, healthcare, retail, and entertainment to transform raw information into actionable insights. Our culture is built on curiosity, collaboration, and a relentless pursuit of excellence. We celebrate diversity, champion continuous learning, and reward creativity with tangible impact.

Why This Role Matters

As a Remote Data Entry Specialist, you will be the backbone of brighthush’s data science initiatives. Your meticulous attention to detail, analytical mindset, and passion for data quality will directly influence the accuracy of our predictive models, the reliability of our dashboards, and the trust our clients place in our solutions. In a world where data is the new currency, your work will help shape strategic decisions that affect millions of users worldwide.

Key Responsibilities

• Data Collection & Validation: Gather structured and unstructured data from diverse sources such as APIs, CSV files, and web scraping tools. Validate data integrity through automated checks and manual reviews.
• Data Cleaning & Transformation: Apply industry-standard techniques to handle missing values, outliers, and inconsistencies. Use tools like Python (pandas, NumPy), SQL, and ETL pipelines to reshape data for downstream analysis.
• Pipeline Maintenance: Monitor and troubleshoot data pipelines to ensure seamless flow from ingestion to storage. Collaborate with engineering teams to resolve bottlenecks and optimize performance.
• Documentation & Reporting: Maintain comprehensive documentation of data sources, schemas, and transformation logic. Produce regular reports on data quality metrics and anomalies.
• Stakeholder Collaboration: Work closely with Data Scientists, Product Managers, and QA Engineers to understand data requirements and deliver high‑quality datasets.
• Continuous Improvement: Identify opportunities to automate repetitive tasks, improve data workflows, and implement best practices for data governance.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field.
• Minimum of 2 years of experience in data entry, data cleaning, or ETL processes.
• Proficiency in SQL and at least one programming language (Python or R) for data manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical and problem‑solving skills with a keen eye for detail.
• Excellent written and verbal communication skills in English.
• Ability to work independently in a remote environment while maintaining high productivity.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, Azure) and data services (Redshift, BigQuery, Snowflake).
• Knowledge of data governance frameworks (GDPR, CCPA) and data privacy best practices.
• Familiarity with version control systems (Git) and CI/CD pipelines.
• Prior exposure to machine learning workflows and model deployment pipelines.
• Experience in agile development environments and using tools like Jira or Trello.

Core Skills & Competencies

• Technical Proficiency: SQL, Python (pandas, NumPy), ETL tools, data visualization.
• Data Quality Assurance: Validation, cleansing, anomaly detection.
• Problem Solving: Root cause analysis, process optimization.
• Communication: Clear documentation, stakeholder engagement.
• Adaptability: Thrives in fast‑paced, evolving environments.
• Collaboration: Works effectively across cross‑functional teams.

Career Growth & Learning Opportunities

At brighthush, we believe in nurturing talent from the ground up. As a Remote Data Entry Specialist, you will:

• Progress to a Data Analyst or Data Engineer role within 12–18 months.
• Participate in internal hackathons, data challenges, and innovation labs.
• Access a curated learning library covering advanced analytics, machine learning, and cloud architecture.
• Mentorship from senior data scientists and engineers.
• Opportunities to present findings at company‑wide town halls and industry conferences.

Work Environment & Culture at brighthush

Our remote‑first culture empowers you to work from anywhere while staying connected through:

• Weekly virtual stand‑ups and bi‑weekly all‑hands meetings.
• Open communication channels via Slack, Teams, and Zoom.
• Flexible work hours that respect work‑life balance.
• Inclusive policies that celebrate diversity, equity, and belonging.
• Regular wellness initiatives, including virtual yoga, meditation, and mental health resources.

Compensation, Perks, and Benefits

We offer a competitive compensation package that reflects your expertise and contributions:

• Base Salary: $28 per hour, with potential for performance‑based increases.
• Equity: Eligibility for stock options as part of the long‑term incentive plan.
• Health & Wellness: Comprehensive medical, dental, and vision coverage.
• Retirement: 401(k) plan with company match.
• Paid Time Off: Generous vacation, sick leave, and personal days.
• Professional Development: Reimbursement for certifications, courses, and conference attendance.
• Tech Stipend: Monthly allowance for home office equipment and high‑speed internet.
• Employee Assistance Program: 24/7 counseling and support services.

How to Apply

Ready to join a team that values data integrity, innovation, and personal growth? Submit your resume, cover letter, and a brief portfolio (if applicable) through our online portal. We look forward to exploring how your skills and passion align with brighthush’s mission to transform data into meaningful impact.

Join brighthush Today

At brighthush, we don’t just collect data—we turn it into stories that drive decisions, shape products, and create lasting value. As a Remote Data Entry Specialist, you will be at the heart of this transformation, ensuring every byte of information is accurate, reliable, and ready for analysis. If you thrive in a collaborative, fast‑moving environment and are eager to grow your career while making a tangible difference, we want to hear from you.

Apply now and become part of a forward‑thinking team that is redefining the future of data science.