Data Analyst (Fully Remote) - Global Enterprise Product Company (U.S Based)

About this role

We are hiring Data Analysts to join global software product companies building data-driven products, analytics platforms, and modern digital ecosystems.

This is an opportunity to work on high-impact initiatives involving business intelligence, analytics, reporting, and data-driven decision-making while collaborating with globally distributed product, engineering, and business teams.

Location

100% Remote

Start Date

Immediate to 4 Weeks

What You'll Do

Collect, analyze, and interpret large datasets to uncover trends, patterns, and actionable insights.

Develop and maintain dashboards, reports, and visualizations that support business and product decisions.

Work closely with business stakeholders, product managers, and engineering teams to define reporting requirements and key performance indicators (KPIs).

Perform data validation, cleansing, and quality checks to ensure accuracy and reliability.

Analyze customer behavior, product usage, operational metrics, and business performance data.

Create recurring and ad-hoc reports for executive leadership and business stakeholders.

Identify opportunities for process improvements through data analysis and performance measurement.

Support forecasting, trend analysis, and business planning initiatives.

Document data definitions, business rules, and reporting methodologies.

Participate in data governance, quality assurance, and continuous improvement initiatives.

Required Skills

3+ years of experience as a Data Analyst, Business Analyst, Reporting Analyst, or Analytics Professional.

Strong proficiency in SQL for data extraction, analysis, and reporting.

Experience working with data visualization and reporting tools such as Power BI, Tableau, Looker, or similar platforms.

Strong analytical and problem-solving skills with the ability to translate data into meaningful business insights.

Experience working with large datasets from multiple sources.

Strong understanding of data analysis methodologies, reporting pr...