TCGplayer (an eBay company) · 7 hours ago

Data & Analytics Senior Manager

Texas, United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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Responsibilities

Develop, execute and continuously evolve data and analytics strategy for TCGplayer in collaboration with internal and external business stakeholders in a scalable way that supports business objectives

Develop quantitative analyses and predictive models to project impact of strategic decisions

Establish hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to interpret results and draw actionable conclusions

Work closely with data engineering team to optimize for a data infrastructure needed to support an advanced analytics and insights platform and ensure data governance

Lead, mentor and oversee team of data analysts and external service providers; ability to both lead a team and be hands-on

Enable objective decision making across the company by democratizing data through dashboards and other analytical tools

Present findings in a compelling way to influence leadership and cross-functionally

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Analytics leadershipStatistical programming PythonStatistical programming RSQL proficiencyStatistical modelingMachine learning frameworksCloud-based analytics solutionsData mining techniquesAnalytical frameworksData governanceLookerTableauDbt

Required

Bachelor’s degree in quantitative field (e.g., business analytics, data science, mathematics, statistics) or equivalent experience.

8+ years of experience in data and analytics

Strong proficiency in at least one statistical programming language (Python or R)

Fluent in SQL

Experience with machine learning frameworks

Experience for building and managing cloud-based analytics solutions such as Looker or Tableau

Deep expertise in statistical modeling, machine learning, and data mining techniques

Proven leadership experience mentoring and developing teams of data scientists, data engineers, and data architects

Ability to translate business needs into analytical frameworks and data insights

Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences at a senior level