Pricing & Product Data Analyst

Job Title: Pricing & Product Data Analyst Role

Location: HYBRID at Dallas, TX (75234)

Duration: 6+Months on W2 (With possible extension & conversion based on the performance)

Job Description:

About the Role:

We are seeking a highly motivated analyst to join the pricing team.

In this role, you will support our digital product team in driving data-driven decisions and managing product initiatives.

You'll work closely with cross-functional teams to conduct analysis, design, test, and contribute to product development.

MAJOR DUTIES AND RESPONSIBILITIES:

Gather and analyze data from various sources to extract actionable insights for business and product decisions

Use statistical techniques and data visualization tools to interpret trends and patterns in product usage and performance

Assist in managing timelines, resources, and stakeholder communication for product launches and updates

Create and maintain data models to support product analytics and decision-making processes

Work with data engineering teams to ensure clean, accurate, and reliable data pipelines

Develop and document test cases for new features to ensure high-quality product delivery

Identify opportunities for product enhancements based on data analysis and customer feedback.

BASIC QUALIFICATIONS:

Must have a Master's degree in a relevant field such as Data Science, Business, Engineering, or a related discipline

Must have 2-3 years of experience in product management, data analytics, or related fields

Experience in gathering and interpreting data from various sources and generating insights

Proficiency in statistical analysis and data visualization (e.g., Tableau, Power BI).

Knowledge of data engineering principles and the ability to collaborate with technical teams

Excellent communication and organizational skills, with an eagerness to learn and grow in a fast-paced environment

Strong understanding of data modeling, and analytics tools (e.g., SQL, Excel, Python, etc.).

Nice-to-Have:

Experience with product analytics tools (e.g., Google Analytics, SAS).

Familiarity with agile methodologies.