Analytics Engineer

Key Skills

Data science techniques, Design, Effective communication skills, Large data sets, Management, Planning and organization, Presentation skills, Python Programming, SQL

Job Description

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

We have big plans in this space and there’s a ton to do - trading card data is multifaceted and pricing is largely driven by secondary market activities that are challenging to coalesce and get insights from. We want to transform the way decisions are made in our organization and across the industry, and data is one of the pillars that will enable us to do that.

Analytics engineers in Data Science & Engineering Team deliver cleaned,well-defined, transformed, enriched, tested, and documented datasets that feed into our dashboard capabilities to provide real-time business intelligence and answer business-critical questions in a timely manner. They need to act with a sense of urgency and have a strong sense of curiosity about how to answer impactful business questions in a consistent and reliable fashion with data, data science techniques, and modern data tools. Analytics engineers possess skillsets that encompass data engineering, data analysis, and business intelligence.

Analytics Engineers’ responsibilities include, but are not limited to, the following:

• Work closely with business users to produce business-user-friendly dashboards that address critical business needs in a self-serving manner.
• Support senior management by managing key performance metrics reporting.
• Conduct ad-hoc analyses whenever needed.
• Transform complicated business problems into data-driven solutions by collaborating closely with our data engineers and data scientists.
• Research, design, and develop new datasets and pipelines by leveraging our data to support business functions through thoughtful data modeling and analysis.
• Utilize modern, cloud-based data technologies and business intelligence tools to automate and optimize reports.
• Provide clean, transformed data ready for analyses and dashboarding in a timely manner.
• Maintain data documentation, definition, and dictionary.
• Efficiently manage custom-built datasets.
• Conduct deep-dive analysis on a regular basis.
• Apply software engineering best practices to develop analytical codes.

Qualifications:

• A bachelor degree in computer science, computer engineering, data science, or a highly related field with 3+ years of experience as an analytics engineer or software engineer focusing on building data infrastructure. A graduate degree is a plus.
• Knowledge of SQL skills for querying, analysis, performance optimization and persisting data.
• Familiarity with programming languages, such as Python.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.
• Excellent relationship management and the ability to work across business teams and functions.
• Be well aware of how to adopt software engineering best practices and apply them to analytics code.

$105,000 - $115,000 a year

The salary range for this position is $105,000-$115,000 which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.