Senior Data Analyst

Modernize Home Services

6d • $80,000 - $130,000 • Remote

About The Position

As a key member of the Analytics team, you will be responsible for data-driven insights that contribute to QuinStreet’s Marketplace growth. You will gather, organize, and aggregate complex datasets and business rules to produce meaningful insights in areas such as campaign structure, pricing, budgeting, traffic allocation, quality, and network dynamics. You are expected to be the advocate for growth leveraging those insights and will work closely with other teams in the category to turn them into positive results for the company.

Requirements

• Record of high academic achievement with a BS degree in Business, Economics, Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred.
• 3+ years of work experience in data analytics/science.
• Strong analytical and problem solver mindset with a drive towards actionable insights from data.
• Deep interest in online marketing and media industry. Industry experience a plus.
• High internal motivation with ability to understand the full stack of product development.
• Willingness to initiate and own research, exploration, and analysis from start to finish for any business problem.
• Good interpersonal skills and ability to remain focused-yet-flexible in a fast-paced internet company environment.
• Proficiency in MS Excel, SQL, Tableau and Python scripting.

Nice To Haves

• Industry experience a plus.
• MS preferred.

Responsibilities

• Work closely with media and client account managers to identify opportunities for client optimization and market expansion.
• Actively mine data from our marketplace and client datasets to develop business and predictive models using various statistical techniques.
• Responsible for pursuing actionable opportunities by working with the appropriate stakeholders.
• Support ongoing analysis and monitoring of key business metrics.
• Build complex and multi-layered forecasts in Excel and Tableau for business planning.
• Key liaison between business and technical resources in managing day to day data analytics.

Benefits

• health care benefits
• retirement benefits
• paid days off (paid sick leave, parental leave, paid time off, or vacation benefits)
• performance bonus or commission
• equity in the form of restricted stock units
• any other tax-reportable benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees