Data Analyst

Data Analyst
The Tech System | Full-Time | United States (Remote / Hybrid)
Department: Data & Analytics | Experience: 0-2 Years

About The Tech System

The Tech System is a forward-thinking technology company headquartered in the United States, dedicated to delivering innovative data-driven solutions across industries. We empower businesses with cutting-edge analytics, cloud infrastructure, and software services. Our culture values collaboration, continuous learning, and measurable impact.

Position Summary

We are looking for a detail-oriented and results-driven Data Analyst to join our growing Data & Analytics team. In this role, you will transform complex datasets into actionable insights that drive strategic business decisions. You will collaborate cross-functionally with engineering, product, and business stakeholders to define KPIs, build dashboards, and deliver data solutions that scale.

Key Responsibilities

• Collect, clean, and analyze large datasets from multiple sources to identify trends, patterns, and opportunities.
• Design and develop interactive dashboards and reports using tools such as Tableau, Power BI, or Looker.
• Write optimized SQL queries to extract and manipulate data from relational databases.
• Partner with product managers, engineers, and business leaders to define metrics and success criteria.
• Conduct ad-hoc analyses to support strategic initiatives and answer key business questions.
• Develop and maintain data pipelines and ETL workflows in collaboration with the data engineering team.
• Perform A/B testing analysis and communicate results with statistical rigor.
• Ensure data quality, integrity, and consistency across reporting systems.
• Present findings to non-technical stakeholders in a clear and compelling manner.
• Stay current on data analytics best practices, tools, and emerging technologies.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 0-2 years of hands-on experience in a data analyst or related role.
• Proficiency in SQL with experience querying complex, large-scale databases.
• Experience with data visualization tools (Tableau, Power BI, Looker, or equivalent).
• Strong working knowledge of Python or R for data analysis and automation.
• Familiarity with cloud data platforms such as AWS, GCP, or Azure (Snowflake, BigQuery, or Redshift a plus).
• Strong analytical thinking and problem-solving skills with excellent attention to detail.
• Proven ability to communicate technical findings to non-technical audiences.
• Experience working in an Agile environment.

Preferred Qualifications

• Experience with statistical modeling, machine learning concepts, or predictive analytics.
• Knowledge of dbt (data build tool) or similar transformation frameworks.
• Exposure to product analytics platforms (Mixpanel, Amplitude, Google Analytics).
• Master's degree in a quantitative field.
• Prior experience in the technology, SaaS, or e-commerce industry.

Compensation & Benefits

• Competitive base salary: $75,000 – $110,000 per year (commensurate with experience)
• Annual performance bonus and equity participation opportunities
• Comprehensive health, dental, and vision insurance (Day 1 eligibility)
• 401(k) retirement plan with company match
• Flexible remote / hybrid work arrangements
• Unlimited PTO and paid company holidays
• $1,500 annual professional development & learning budget
• Home office stipend for remote employees

Equal Opportunity Employer

The Tech System is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

How to Apply

Apply through LinkedIn and Submit Your Updated Resume. Applications are reviewed on a rolling basis. We encourage candidates from all backgrounds to apply.