Digital Product Analyst (100% Remote, Anywhere in USA)
Remote
GOBankingRates.com is a leading destination for personal finance news and information.
Launched by Jeff Bartlett and Brett Rossmann in 2004, GOBankingRates (formerly ConsumerTrack) connects people with products and services that help them to lead a richer life.
We are a multi-media content platform covering all aspects of your personal finance journey. Our curated editorial content, videos and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow and protect money. We strive to give readers the confidence they need to feel empowered about making smart financial decisions today, tomorrow and into the future
ABOUT THE ROLE
We are hiring Digital Product Analysts across our highly specialized product teams to drive informed decision-making and optimize business strategies in the dynamic digital media space.
As a critical member of our team, you will analyze complex data sets, identify actionable intelligence, and translate findings into strategic recommendations that propel our organization forward. You will become a subject matter expert to deeply understand the end-to-end workflow, data sets, and goals to enable your ability to recommend improvements, optimizations, and bigger solutions.
HOW YOU’LL MAKE AN IMPACT
- Strategize with embedded team to develop a cohesive and comprehensive understanding of the key drivers of the business, and leverage that understanding to achieve goals and move the company forward.
- Ingest and aggregate key performance data, KPIs and operational data sets (for example keywords/groups, ads, bidding, creative assets, etc) to build structured models and analysis to drive insights and actionable intelligence.
- Participate in and drive the analysis of large digital marketing data, including traffic, revenue/cost, conversion trends, client success metrics, audience insights, forecast modeling, etc., to identify patterns and provide actionable insights to drive growth, optimization, cost-cutting, and performance improvement.
- Conceptualize and utilize statistical methods and data visualization techniques to convey a compelling business case for implementing recommendations based on data insights. Begin to build relationships with the Data Science Team for advanced data modeling.
- Proactively share insights and strategic recommendations with measurable and sizable business impact, offering solutions that consider the needs and goals of multiple business units.
- Partner with the Yield and Data Science teams to drive decision-making via critical, time-sensitive insights about our publisher partners, ad placements, and opportunities to improve KPIs.
- Drive meaningful conversations with Data Engineering and Data Analytics to improve data access, data platform, data flow, and data accuracy.
- Pivot quickly and smoothly between high-priority projects and changing business needs based on goals.
- Foster solid working relationships with co-workers, leadership, and stakeholders to develop and maintain alignment in priorities, strategy, and vision across crucial initiatives.
WHAT YOU’LL NEED
- Experience: 3+ years of relevant work experience in digital marketing analytics within a digital advertising/marketing/media company.
- Strong background in analytics, understanding of concepts like Statistical Significance and data modeling
- BA/BS in Mathematics, Statistics, Finance, Marketing, Economics, or a related field (MBA is a plus)
- Intermediate to advanced knowledge in utilizing BI tools, such as Tableau.
- Exceptionally high standards in communicating the results of analysis clearly and effectively.
- Strong verbal and written communication skills and confidence to deliver technical information succinctly and assertively to non-technical audiences.
- Complex problem-solving and critical thinking skills, along with a solutions-oriented mindset
- Intermediate to advanced knowledge of Excel, including the ability to use formulas, functions, and pivot tables.
- Intermediate to advanced knowledge of SQL and querying relational databases (nice to have).
The salary for this role ranges from $90,000 to $125,000 annually, depending on level, job-related knowledge, skills, experience, and location.
Benefits
- 100% Remote
- Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity and passion.
- Awesome medical, dental and vision plans with heavy employer contribution
- Paid maternity leave and paternity leave programs
- Paid vacation, sick days and holidays
- Company funding for outside classes and conferences to help you improve your skills
- Contribution to student loan debt payments after the first year of employment
- 401(k) -- employees can start contributing immediately. After the first year, GOBankingRates matches your contribution up to 4% of your salary
We are an equal-opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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Job Profile
100% Remote Collaborative team culture Competitive salary Dental Flexible work environment Fully remote Growth opportunity Medical Paid Vacation Vision plans
Tasks- Analyze complex data sets
- Build relationships with data science team
- Drive analysis of digital marketing data
- Identify actionable intelligence
- Improve data access and accuracy
- Share insights and recommendations
- Translate findings into strategic recommendations
Business Intelligence Tools Communication Data accuracy Data Aggregation Data analysis Data engineering Data Flow Data Modeling Data Science Data Visualization Digital Advertising Digital Marketing Digital Marketing Analytics Excel Forecast modeling KPI Analysis Problem-solving SQL Statistical methods Tableau
Experience3 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9