Senior Analyst, Enterprise Analytics (Remote)

As a Senior Analyst, Enterprise Analytics at The Athletic, you'll develop holistic insights into business performance by analyzing audience, product, and growth data. You'll partner with various teams across the organization to create and standardize reporting metrics for enterprise-level strategy and work closely with data engineering teams to support centralized reporting needs.

The Athletic requires candidates for the Senior Analyst, Enterprise Analytics role to have a preferred Bachelor’s Degree in a quantitative field such as Statistics, Machine Learning, or Mathematics, along with 3+ years of experience in data analytics. Proficiency in SQL and experience with relational databases are essential for this position, coupled with strong analytical reasoning skills.

The Athletic is committed to the continuous professional development of its employees, including Senior Analysts in the Enterprise Analytics team. Opportunities to further develop your skills through training sessions, conferences, and collaborative projects are readily available, fostering a culture of growth and learning.

Yes, the Senior Analyst, Enterprise Analytics role at The Athletic is remote, but it is restricted to candidates located in the United States and Canada. This flexibility allows you to work from the comfort of your home while contributing to a global team.

The annual base salary range for the Senior Analyst, Enterprise Analytics position at The Athletic is between $90,000.00 and $110,000.00 USD. However, the total compensation can vary based on several factors, including your experience, skills, and location, as well as non-cash rewards and benefits.

The Athletic offers a comprehensive benefits package for Senior Analysts, which includes competitive medical, dental, and vision insurance, savings accounts, a 401k retirement savings plan with employer match, and generous paid time off, including sick leave, holidays, and parental leave, ensuring a well-rounded work-life balance.

The work culture at The Athletic is collaborative, inclusive, and dynamic. As a Senior Analyst, you'll find yourself surrounded by a passionate team that values your input. The company encourages diversity and promotes an environment where team members contribute different perspectives, making it an enriching place to work.

When analyzing complex data sets, I start by clearly defining the problem I want to solve. I break down the data into smaller, manageable parts and use visualization tools to identify patterns and trends. This structured approach helps me communicate my findings effectively to stakeholders.

In my previous role, I discovered a trend in user engagement metrics that indicated a specific feature was underperforming. By presenting my analysis to the leadership team, we were able to pivot our strategy, prioritize feature enhancements, and ultimately improve user satisfaction and retention.

To ensure the accuracy of my reports, I implement a systematic validation process where I cross-check findings against multiple data sources. I also utilize automated scripts to minimize human error and share my reports with peers for feedback before final deliveries.

I prefer using tools like Tableau and Power BI for data visualization as they allow for interactive, user-friendly dashboards. These tools help me present data stories compellingly, making it easier for non-technical stakeholders to grasp insights clearly.

When faced with tight deadlines, I prioritize tasks based on urgency and impact. I focus on delivering a Minimum Viable Product (MVP) first, ensuring key insights are communicated, and then work on refining the analysis as time allows. Staying organized and utilizing project management tools has proven invaluable in these situations.

I use a combination of storytelling and visual aids to communicate data findings effectively. By relating data insights to real-world scenarios, I make the information more relatable and easier to comprehend. Additionally, I tailor my communication style based on the audience's level of technical expertise.

Collaboration is essential in data analytics as it brings diverse perspectives to problem-solving. Working closely with cross-functional teams allows insights to be contextualized within the larger business strategy, making analysis more relevant and impactful.

I led a project that aimed to redesign our reporting framework for marketing analytics. By collaborating with the marketing team and our data engineering department, we created a streamlined reporting dashboard that reduced reporting time by 30% and improved the visibility of key metrics for decision-makers.

I stay updated on analytics trends and technologies through attending webinars, engaging in online courses, and actively participating in analytics communities. Reading industry publications also helps me keep my skills sharp and adapt them to emerging trends.

I am drawn to The Athletic because of its commitment to delivering high-quality sports content through data-driven strategies. The opportunity to contribute to a company that values storytelling and connects sports fans to teams and athletes aligns perfectly with my passion for analytics and sports.