Senior Analyst, Digital Analytics

Versant Media; New York (NY); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k)

Paid leave

Tuition reimbursement

Job summary

Versant Media's MS NOW unit is seeking a Senior Analyst to join the Digital Platform Analytics team. You will apply audience and subscriber data to uncover insights across acquisition, engagement, retention, and churn, and work with Editorial, Product, Marketing, Engineering, and business teams to translate data into actionable recommendations.

You'll build dashboards, define KPIs, and partner on experiments and segmentation to support growth across MS NOW’s digital products, adapting analyses

Qualifications

• 2+ years of experience in digital analytics, product analytics, audience insights, or a related field.
• SQL skills and experience working with large, complex datasets.
• Proficiency in Excel and experience building analytical models and conducting detailed quantitative analysis
• Experience with tools such as Databricks/Snowflake, Adobe/Google Analytics, Amplitude, Tableau/Looker/Omni, and experimentation platforms

Responsibilities

• Conduct deep-dive and exploratory analyses using SQL and other analytics tools to identify trends, opportunities, and drivers of audience and subscriber behavior, and translate findings into clear recommendations
• Monitor and analyze key subscription and digital performance metrics, including acquisition, engagement, content consumption, retention, audience exposure, and video performance.
• Partner with Editorial, Product, Marketing, Engineering, and business stakeholders to define KPIs, measurement frameworks, and analytical requirements and ensure consistent, accurate measurement across MS NOW’s digital products
• Build, maintain, and evolve dashboards and recurring reporting that enable stakeholders to independently understand business and audience performance and support data democratization and governance
• Partner with experimentation leads and Product teams to develop data-driven hypotheses, establish measurement plans, analyze experiment results, and translate findings into actionable product recommendations
• Partner with Data Engineering, Data Science, and Product teams to develop and refine audience segmentation and predictive capabilities, including propensity and personalization models
• Work with large, complex datasets and data lake environments to combine multiple data sources and conduct advanced analyses of user behavior and business performance
• Communicate analytical findings and recommendations through clear, compelling narratives tailored to a range of audiences, including senior leadership

Skills

SQL

Excel

Analytical thinking

Data storytelling

Tools

Databricks

Snowflake

Adobe Analytics

Google Analytics

Amplitude

Tableau

Looker

Omni

Experimentation

Job description

• Business Segment: Versant Revenue & Digital
• Compensation: USD 80000 - USD 100000 - yearly

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

MS NOW is looking for a passionate, strategic, and highly motivated Senior Analyst to join the Digital Platform Analytics team. This role will use audience and subscriber data to uncover insights across the customer lifecycle, from acquisition and engagement through retention and churn.

The Senior Analyst will partner closely with Editorial, Product, Marketing, Engineering, and business teams to translate complex data into actionable insights that inform audience development, product initiatives, editorial strategy, and the growth of MS NOW’s business.

Key Responsibilities

• Conduct deep-dive and exploratory analyses using SQL and other analytics tool to identify trends, opportunities, and drivers of audience and subscriber behavior, and translate findings into clear recommendations
• Monitor and analyze key subscription and digital performance metrics, including acquisition, engagement, content consumption, retention, audience exposure, and video performance. Identify high-performing content formats, topics, audience behaviors, and emerging patterns
• Partner with Editorial, Product, Marketing, Engineering, and business stakeholders to define KPIs, measurement frameworks, and analytical requirements and ensure consistent, accurate measurement across MS NOW’s digital products
• Build, maintain, and evolve dashboards and recurring reporting that enable stakeholders to independently understand business and audience performance and support data democratization and governance
• Partner with experimentation leads and Product teams to develop data-driven hypotheses, establish measurement plans, analyze experiment results, and translate findings into actionable product recommendations
• Partner with Data Engineering, Data Science, and Product teams to develop and refine audience segmentation and predictive capabilities, including propensity and personalization models
• Work with large, complex datasets and data lake environments to combine multiple data sources and conduct advanced analyses of user behavior and business performance
• Communicate analytical findings and recommendations through clear, compelling narratives tailored to a range of audiences, including senior leadership

Qualifications

• 2+ years of experience in digital analytics, product analytics, audience insights, or a related field, preferably within a direct-to-consumer, subscription, or digital media business
• SQL skills and experience working with large, complex datasets
• Proficiency in Excel and experience building analytical models and conducting details quantitative analysis
• Experience with tools such as Databricks/Snowflake, Adobe/Google Analytics, Amplitude, Tableau/Looker/Omni, and experimentation platforms

Desired Characteristics

• Strong analytical and problem-solving skills, with the ability to move from ambiguous business questions to structured analysis and actionable recommendations
• Strong communication skills with the ability to influence stakeholders and translate complex data into compelling narratives

Additional Requirements

• Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week fromourNYCoffice.
• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [emailprotected] .

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.