Understood. Following that exact Hirnetic format, here is the Data Analyst (Remote) version:
Data Analyst (Remote)
Employment Type
Full-Time
Work Schedule
- 40 hours per week
- Flexible scheduling within core business hours
- Occasional overtime may be required based on project needs
Location
Remote (United States)
Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.
Role Summary
Hirnetic connects exceptional talent with organizations seeking skilled data professionals to transform complex data into actionable business insights. We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, interpret, and visualize data that supports strategic decision-making, improves business performance, and drives operational excellence.
Key Responsibilities
- Collect, clean, validate, and organize data from multiple internal and external sources.
- Analyze large datasets to identify trends, patterns, and business opportunities.
- Design and maintain dashboards, reports, and data visualizations.
- Develop SQL queries to extract, manipulate, and analyze data.
- Collaborate with cross-functional teams to define reporting requirements and business metrics.
- Interpret analytical findings and present actionable recommendations to stakeholders.
- Monitor key performance indicators (KPIs) and generate recurring performance reports.
- Identify data quality issues and recommend corrective actions.
- Support forecasting, budgeting, and business planning initiatives.
- Automate recurring reports and improve reporting processes.
- Maintain documentation for data sources, methodologies, and reporting standards.
- Ensure compliance with data privacy, governance, and security policies.
- Assist with ad hoc reporting and special analytical projects.
- Stay current with emerging analytics tools and industry best practices.
- Support continuous improvement initiatives through data-driven insights.
Required Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, Economics, or a related field.
- 2–4 years of experience in data analysis, business intelligence, or a related analytical role.
- Strong proficiency in SQL.
- Advanced Microsoft Excel skills.
- Experience with Power BI, Tableau, or similar visualization tools.
- Basic knowledge of statistical analysis and data modeling.
- Strong analytical, critical-thinking, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to manage multiple projects and meet deadlines.
- Experience working independently in a remote environment.
Preferred Qualifications
- Experience using Python or R for data analysis.
- Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with ETL processes and data warehousing.
- Experience building executive dashboards.
- Strong understanding of business intelligence best practices.
- Experience translating technical findings into business recommendations.
- Strong attention to detail and data accuracy.
- Excellent organizational and time-management skills.
- Collaborative mindset with strong interpersonal skills.
- Commitment to continuous learning and professional development.
Required Tools & Technologies
Experience with one or more of the following is preferred:
Data Analysis & Business Intelligence
SQL
Microsoft Excel
Power BI
Tableau
Python
R
Databases & Cloud
Google BigQuery
Snowflake
PostgreSQL
MySQL
AWS
Microsoft Azure
Google Cloud Platform
Collaboration & Productivity
Google Workspace
Microsoft 365
Slack
Zoom
Jira
Confluence
GitHub (basic version control)
Work Environment
This is a fully remote position available to candidates residing within the United States. Data Analysts collaborate with business leaders, technical teams, and stakeholders through virtual meetings and collaboration platforms. Candidates should maintain a professional home office, reliable high-speed internet connection, and the ability to manage multiple analytical projects while meeting deadlines in a remote-first environment.
Pay Range & Compensation
Compensation varies by employer, experience, project scope, and location. Salary details will be provided during the hiring process.
Typical Salary Range: $75,000 – $115,000 USD annually (approximately $36 – $55 USD per hour).
Additional compensation may include performance bonuses, annual salary reviews, certification incentives, and opportunities to contribute to high-impact analytics initiatives.
Benefits & Perks
Benefits vary by employer and assignment. Eligible candidates may receive competitive compensation, health benefits, retirement plans, paid time off, flexible schedules, professional development opportunities, certification reimbursement, and performance incentives.
Equal Opportunity Employer
Hirnetic is committed to fostering a diverse and inclusive workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Ready to turn data into actionable business insights from anywhere? Apply today and join Hirnetic’s growing network of Data Analysts helping leading organizations make smarter, data-driven decisions.
Hiring Process
Submit Application
Initial Application Review
Technical Assessment
Virtual Interview
Client Matching (if applicable)
Employment Offer
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