Data Analyst
QuinStreet · United States
- Hybrid
- Full-time
- $92,500 / year
- United States
Job highlights
- Analyze digital marketing campaign performance.
- Develop deep understanding of data sources.
- Utilize SQL, R, Python, and Tableau.
- Identify growth opportunities via data analysis.
- Communicate actionable business insights.
About the role
Data Analyst at QuinStreet
QuinStreet is a pioneer in powering decentralized online marketplaces. We run virtual- and private-label marketplaces in one of the nation’s largest media networks, utilizing industry-leading segmentation and AI-driven matching technologies to connect consumers with brands and deliver performance marketing results.
About the Role
As a Data Analyst at QuinStreet, you will become an expert in the performance and strategy of digital marketing campaigns. You will collaborate with fellow analysts to investigate, resolve product issues, and implement optimizations to increase yield and support our Media Partners. A key aspect of this role involves developing a deep understanding of our data sources and analytical tools to inform business decisions, automate processes, and drive business growth. You will leverage diverse problem-solving strategies and manage multiple simultaneous efforts in a fast-paced environment. Your responsibilities will include analyzing business problems, identifying opportunities for growth, understanding advantages and weaknesses, and deploying creative analytical approaches. You will be expected to communicate insights effectively and deliver actionable plans to improve the business.
Responsibilities
- Develop a deep understanding of related data sources and leverage them to inform business decisions.
- Develop a deep understanding of analytical tools and the automation of business processes and decision-making.
- Leverage diverse problem-solving strategies and balance multiple simultaneous efforts in a dynamic environment.
- Dive into business problems and analyze opportunities for growth.
- Understand advantages, weaknesses, and deploy creative approaches to analytical problems.
- Communicate insights effectively and timely, responding to analytical needs and delivering actionable plans.
Qualifications
- 2+ years of experience in an analytical role is required.
- Inquisitive mindset willing to challenge the status quo and stakeholders.
- Ability to digest disparate datasets and visualize key trends from raw data.
- Excellent communication and presentation skills; ability to synthesize key takeaways and present data-proven results.
- Strong analytical, organizational, and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis.
- Experience using SQL with enterprise datasets is required.
- Experience in R or Python is required.
- Experience with Tableau or other BI tools is required.
- Experience with automation in an enterprise setting is a major plus.
Compensation and Benefits
The expected salary range for this position is $85,000 - $100,000 USD annually. The actual salary may vary based on compensation practices and geographic location. This position is eligible for performance bonus, commission, and equity. Benefits include health care, retirement plans, and paid time off.
Key skills/competency
- Data Analysis
- SQL
- R
- Python
- Tableau
- Business Intelligence
- Automation
- Problem Solving
- Market Segmentation
- Performance Marketing
Skills & topics
- Data Analyst
- SQL
- R
- Python
- Tableau
- Business Intelligence
- Digital Marketing
- Performance Marketing
- Data Analysis
- Marketplace
How to get hired
- Tailor your resume: Highlight SQL, R/Python, Tableau, and analytical skills.
- Showcase problem-solving: Detail past analytical projects and quantifiable results.
- Demonstrate curiosity: Emphasize your inquisitive mindset and ability to challenge status quo.
- Prepare for technical questions: Brush up on SQL queries, data visualization, and analytical concepts.
- Research QuinStreet: Understand their performance marketing model and AI-driven technologies.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of a Data Analyst at QuinStreet?
- As a Data Analyst at QuinStreet, you will analyze digital marketing campaign performance, develop a deep understanding of data sources and analytical tools, identify growth opportunities through data analysis, and communicate actionable insights to business stakeholders.
- What technical skills are required for the Data Analyst role at QuinStreet?
- Required technical skills include 2+ years of analytical experience, proficiency in SQL with enterprise datasets, and experience with R or Python. Experience with Tableau or other BI tools, and automation in an enterprise setting are also highly valued.
- What is the expected salary range for the Data Analyst position at QuinStreet?
- The expected annual salary range for this Data Analyst position at QuinStreet is between $85,000 and $100,000 USD. Actual salary may vary based on experience, location, and the company's compensation practices.
- Does QuinStreet offer remote work for Data Analyst positions?
- The job description does not explicitly state the work arrangement for this Data Analyst role. It's best to confirm if the position is remote, hybrid, or on-site during the application or interview process.
- How important is an inquisitive mindset for this Data Analyst job at QuinStreet?
- An inquisitive mindset is highly valued at QuinStreet for Data Analysts. The role requires challenging the status quo and stakeholders, and a willingness to deeply investigate business problems and data to uncover insights.
- What kind of data will a Data Analyst work with at QuinStreet?
- A Data Analyst at QuinStreet will work with diverse datasets related to digital marketing campaigns, online marketplaces, consumer behavior, and brand performance metrics to inform business decisions and drive optimization.
- How can I demonstrate my analytical and problem-solving skills for this role?
- You can demonstrate your analytical and problem-solving skills by highlighting specific examples on your resume and in interviews where you've used data to detect abnormalities, perform predictive analysis, segment markets, or conduct competitive analysis.
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