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Lifecycle Marketing Analyst

Remote - United States

About AlphaSense: 

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

Reports to: Director of Lifecycle Marketing

About the Role:

We are seeking a detail-oriented and data-driven Lifecycle Marketing Analyst to join our marketing team. In this role, you will be responsible for analyzing customer data and identifying key insights to drive engagement, retention, and growth throughout the customer lifecycle. You will support the development of personalized marketing strategies, optimize customer touchpoints, and measure the effectiveness of campaigns to ensure continued business success.

What You'll Do:

  • Analyze Customer Journeys: Conduct in-depth analyses of the customer lifecycle to identify patterns, behaviors, and opportunities for improvement across acquisition, onboarding, engagement, and retention phases.
  • Campaign Performance Reporting: Track and report on the effectiveness of lifecycle marketing campaigns across various channels (email, in-app, web, etc.) to optimize for key metrics such as open rates, click-through rates, and conversion rates.
  • Customer Segmentation: Develop and refine customer segments based on behaviors, demographics, and engagement levels to deliver personalized marketing messages.
  • A/B Testing & Experimentation: Design and execute A/B tests to assess the effectiveness of different marketing strategies, messaging, and content. Present findings and recommend actionable insights for future campaigns.
  • Data-Driven Insights: Analyze large datasets using tools like SQL, Excel, and marketing automation platforms (e.g., Marketo) to uncover actionable insights that inform marketing strategies.
  • Collaborate with Stakeholders: Work closely with cross-functional teams (e.g., product, sales, data science) to gather insights and align marketing efforts with overall business goals.
  • Customer Retention Strategies: Help develop and implement retention analytics to monitor lifecycle programs and show business impact of lifecycle campaigns aimed at increasing customer lifetime value (CLV) and reducing churn.
  • Marketing Automation & Personalization: Assist in the development of automated workflows and personalized marketing strategies that improve customer engagement and satisfaction.
  • Trend Analysis: Stay up-to-date on industry trends, emerging technologies, and best practices in lifecycle marketing and customer retention to bring fresh ideas to the team.

About You:

  • Bachelor’s Degree in Marketing, Business, Data Analytics, or related field.
  • 4+ years of experience in marketing analysis, lifecycle marketing, CRM, or a similar role.
  • Strong proficiency in data storage & analysis tools such as BigQuery,  Excel, SQL, and visualization tools (e.g., Tableau, Power BI).
  • Experience with marketing automation platforms like Marketo, HubSpot, Eloqua, or Salesforce Marketing Cloud.
  • Familiarity with customer segmentation and data-driven marketing techniques.
  • Excellent analytical and problem-solving skills, with an ability to turn data into actionable insights.
  • Strong communication skills with the ability to present findings and make recommendations to both technical and non-technical stakeholders.
  • Experience with A/B testing and conversion rate optimization.
  • Ability to work in a fast-paced, collaborative environment with cross-functional teams.

Preferred Qualifications:

  • Experience with SQL, Python, or R for advanced data analysis.
  • Familiarity with customer retention and churn analysis models.
  • Understanding of lifecycle marketing frameworks and customer journey mapping.

For base compensation, we set standard ranges for all US-based roles based on function, level and geographic location, benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including geographic location as well as candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$77,000 - $145,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

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