Product Analyst

• Leverage Python, SQL, and analytics platforms to provide data-backed recommendations that pinpoint product improvement opportunities and inform the product roadmap.

• Define and evolve KPIs that capture user engagement, product success, and revenue impact; regularly analyze and communicate performance to stakeholders.

• Design, implement, and analyze A/B tests to validate hypotheses, optimize features, and enhance user experiences.

• Synthesize insights into clear, actionable recommendations, collaborating with Product, Engineering, UX/UI, and Marketing teams to drive user-centric improvements.

• Build and maintain dashboards and reports for real-time product performance monitoring, ensuring timely updates and transparency.

• Champion a data-driven culture by serving as a liaison across teams, providing training and guidance to enhance overall data literacy.

• Manage analysis projects & spearhead analytics initiatives end-to-end, communicating timelines, progress, and findings to ensure alignment and drive decisive action.

• 3-5 years as a Product Analyst, Data Analyst, or similar role in a product-centric environment.

• Proficiency in SQL and Python (or R) for data manipulation, analysis, and visualization.

• Experience with analytics tools such as Google Analytic and Tableau.

• Expertise in A/B testing, data modeling, user segmentation, and building comprehensive dashboards/reports.

• Ability to derive actionable insights from complex data sets and communicate them effectively.

• Proven track record of working with cross-functional teams, including Product, Engineering, Design, and Marketing.

• Education: Minimum of a Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Engineering or other applicable quantitative discipline

• Communication: Strong verbal and written communication skills with the ability to present findings to varying audiences.

• Familiarity with Agile methodologies and project management tools (e.g., Jira, Trello, Asana).

• Knowledge of machine learning techniques or predictive analytics.

• Experience in fast-paced startup environments or on consumer-facing digital products.

BENEFITS:

• Work-life balance

• Medical benefits, Retirement matching

• Generous paid time off

• Learning Management System available through the Intranet providing free access to nearly 500 online training modules and personal development programs

• Dynata offers their new colleaguethe opportunity to work in an open and global culture,where they welcome feedback and ideas from their colleagues. You will be working in a challenging and inspiring environment with talented colleagues from all over the world.

• We have great opportunities for growth and professional development.

• And much more!

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

Dynata is also an affirmative action employer OE/Minority/Female/Veteran/Disabled/Sex/Sexual Orientation/Gender Identity or Expression/Race/Color/National Origin/Age/Religion/Genetic Information/Marital Status/Height/Weight or any other legally protected category defined by applicable federal state or local laws and ordinances, so as to further the principles of equal employment opportunity.

The base salary range for this position in is $70K-$100K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.