Product/Data Analyst

Gravity IT Resources; Plano (TX); On-site; USD 75,000 - 95,000; Full time

Job summary

A technology staffing agency seeks an eCommerce Product/Data Analyst in Plano, TX. This role focuses on building data pipelines and developing dashboards to enhance customer experiences and optimize business performance. The ideal candidate has a Bachelor's in a relevant field and 2–3 years in data analytics. Salary is $75K – $95K, onsite only.

Qualifications

• 2–3 years of experience in data analytics, product analysis, or data engineering.
• Strong SQL skills with experience building and managing data pipelines.
• Proficiency with visualization tools such as PowerBI, Tableau, or Looker.

Responsibilities

• Build and maintain end-to-end data pipelines from multiple sources.
• Develop dashboards and reports to provide visibility into eCommerce performance.
• Analyze sales and customer journeys to identify trends and friction points.

Skills

SQL

Data analytics

Attention to detail

Problem-solving skills

Collaborative teamwork

Education

Bachelor’s degree in Computer Science, Statistics, Data Science, or related field

Tools

PowerBI

Tableau

Looker

Google Analytics

BigQuery

Snowflake

Databricks

Job description

To Apply for this Job Click Here

Job Title: eCommerce Product/Data Analyst
Location: Plano, TX (onsite)
Job-Type: Contract (potential for Contract-to-Hire)
Salary Range: $75K – $95K
Position Overview:
We are seeking a Product/Data Analyst to join an eCommerce Product team. This role will support our expanding analytics capabilities by building scalable data pipelines, developing insightful dashboards, and delivering analysis that informs digital product and business decisions. The ideal candidate is detail-oriented, highly analytical, and comfortable working across multiple data sources to uncover opportunities for improved customer experience and business performance.
Duties & Responsibilities:

• Build and maintain end-to-end data pipelines (SQL/BigQuery/Snowflake/Databricks) to integrate and organize data from multiple sources.
• Develop dashboards and reports (PowerBI/Tableau/Looker) to provide clear visibility into eCommerce performance.
• Analyze sales, customer journeys, payments, and website analytics to identify trends, friction points, and areas for optimization.
• Monitor KPIs, assess product performance, and provide actionable insights for features, promotions, and campaigns.
• Support A/B testing and experimentation, providing data-driven recommendations to improve customer experience.
• Collaborate with Product Managers, Marketing, and cross-functional teams to deliver timely insights that drive measurable impacts.

Work Split

• ~60% data engineering and SQL pipeline development.
• ~40% dashboarding, reporting, and product performance analysis.

Required Experience & Skills:

• Bachelor’s degree in Computer Science, Statistics, Data Science, or related field.
• 2–3 years of experience in data analytics, product analysis, or data engineering.
• Strong SQL skills with experience building and managing data pipelines.
• Proficiency with visualization tools (PowerBI, Tableau, Looker).
• Experience with customer journey analytics tools (Google Analytics, Quantum Metric, ContentSquare, etc.) preferred.
• Strong problem-solving skills, attention to detail, and ability to work collaboratively in a team environment.

Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).

To Apply for this Job Click Here

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.