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later
Страна
США
Зарплата
200 000 $ – 225 000 $
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DirectorГибридПолная занятость

Director, Data and Analytics

Оценка ИИ

Отличная вакансия для опытного лидера в современной технологической компании. Высокая зарплата, удаленный/гибридный формат работы и возможность напрямую влиять на стратегию бизнеса делают эту роль крайне привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена ролью 'player-coach', требующей как глубоких технических навыков (SQL, BigQuery, Python/R), так и стратегического лидерства. Кандидат должен управлять кросс-функциональной командой и одновременно отвечать за архитектуру BI-слоя и сложные финансовые модели.

Анализ зарплаты

Медиана215 000 $
Рынок185 000 $ – 250 000 $
Оценка ИИ

Предлагаемый диапазон $200,000 - $225,000 полностью соответствует рыночным ожиданиям для позиции Директора по аналитике в Бостоне и крупных технологических хабах США. Это конкурентоспособная оплата для уровня Senior Leadership в компаниях среднего размера.

Сопроводительное письмо

I am writing to express my strong interest in the Director of Data and Analytics position at Later. With over 8 years of experience in business intelligence and a proven track record of leading cross-functional analytics teams, I am confident in my ability to drive Later’s data strategy forward. My background in scaling BI layers and delivering proactive, insight-driven analytics aligns perfectly with your goal of moving from reactive reporting to strategic business influence.

Throughout my career, I have excelled as a player-coach, balancing high-level strategic roadmap development with hands-on technical contribution in SQL and predictive modeling. I am particularly drawn to Later’s AI-powered approach to influencer marketing and have extensive experience partnering with Marketing, Sales, and Product teams to optimize MRR/ARR and LTV/CAC metrics. I am eager to bring my expertise in BI modernization and data governance to help Later continue its impressive growth as the world’s most intelligent influencer marketing platform.

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Откликнитесь в later уже сейчас

Присоединяйтесь к Later в качестве Директора по аналитике и определяйте будущее инфлюенс-маркетинга с помощью данных!

Описание вакансии

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.

About this position:

Later seeks a dynamic Director of Data Analytics to oversee our Insights & Analytics team. This leadership role involves guiding a diverse, cross-functional group of embedded analysts who support our Marketing, Sales, Client Services, Creator Success, RevOps, and Product departments.You’ll own the analytics roadmap, our BI layer, and how the company uses data to make decisions. This is a player-coach role. You’ll set the strategic vision and grow the team while staying hands-on delivering high-impact analyses alongside your reports. The time split is roughly equal across three dimensions: strategic leadership, individual contribution, and people management.This is a strategic leadership role. You'll set the vision for the Data Analytics team, drive strategic initiatives, and grow the function. While staying informed on delivery and coaching the team, the emphasis will be on long-term strategy and organizational growth.

What you'll be doing:

Own the Analytics Roadmap

  • Define quarterly and annual analytics priorities, aligning to company OKRs across Later Social, Later Influence, and Mavely
  • Balance strategic builds (predictive models, campaign forecasting, self-serve dashboards) with operational support and ad hoc stakeholder requests
  • Drive the shift from reactive reporting to proactive, insight-driven analytics that directly influences business outcomes

Own the BI Layer

  • End-to-end ownership of the business intelligence layer, including dashboard strategy, semantic modeling, and data governance
  • Lead BI platform consolidation and modernization, expanding self-serve analytics capabilities across the organization
  • Build enterprise data products: forecast calculators, benchmarking tools, client-facing dashboards, and operational reports
  • Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization

Partner Cross-Functionally

  • Serve as the primary analytics partner to senior stakeholders across the business:

+ Marketing: demand generation, paid media, ABM, attribution, and marketing ROI

+ Sales: pipeline analytics, revenue forecasting, and CRM reporting

+ Client Services: campaign performance, client health, utilization, and enterprise account analytics

+ Creator Success: creator scoring, GMV attribution, account management dashboards, and creator-facing reports

+ RevOps & Finance: MRR/ARR modeling, churn analysis, pricing analytics, and operational reporting

+ Product & Engineering: product analytics strategy, data infrastructure, and featureadoption

  • Translate complex data insights into clear, actionable recommendations for executive audiences
  • Manage a structured service desk intake process for analytics requests with business priority scoring

Lead the Team

  • Manage and grow a cross-functional team of analysts across marketing analytics,
  • client/creator analytics, commerce analytics, data science, and BI engineering
  • Operate as a player-coach: set direction and remove blockers while personally contributing to high-impact analyses and data products
  • Run sprint planning, resource allocation, and capacity planning across concurrent workstreams
  • Build career development frameworks and onboarding programs for new analysts
  • Own the hiring roadmap to scale the team in line with business growth

What you bring:

  • 8+ years of progressive experience in data analytics, business intelligence, or a related quantitative field
  • 3+ years managing analytics teams, with a track record of developing high-performing analysts
  • Proven ability to own and execute an analytics roadmap across multiple business domains simultaneously
  • Deep SQL expertise and proficiency with modern BI tools (Domo, Mode)
  • Experience with a cloud data warehouse (BigQuery) and data modeling patterns
  • Experience building predictive models, forecasting tools, or data science–adjacent products (Python/R a plus)
  • Strong financial acumen—comfortable with MRR/ARR modeling, revenue attribution, and LTV/CAC analysis
  • Exceptional stakeholder management across executive, technical, and operational audiences
  • Experience in marketplace, creator economy, or influencer marketing is highly valued
  • A bias for action and comfort with ambiguity in a fast-paced, evolving environment

Nice to Have

  • Experience with influencer marketing platforms, creator commerce, or affiliate/performance marketing analytics
  • Familiarity with CRM/GTM tools (Salesforce, HubSpot) and product analytics platforms (Amplitude, Mixpanel)
  • Background in data governance, semantic layers, or enterprise data dictionary development
  • Experience with AI/ML–powered analytics products (campaign prediction, scoring algorithms, churn models)
  • Track record of BI platform migrations or consolidation projects

How you work:

  • Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
  • Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
  • Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
  • Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
  • Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
  • Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range:

$200,000 - $225,000 USD

\Co-op team members, independent contractors, and freelancers are not eligible for company benefits.*

#LI-Hybrid  #LI-Remote

Where we work:

We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility:

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

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Навыки

  • SQL
  • Domo
  • Mode
  • BigQuery
  • Python
  • R
  • Data Modeling
  • Business Intelligence
  • Predictive Modeling
  • Data Governance
  • Salesforce
  • HubSpot
  • Amplitude
  • Mixpanel
  • SaaS Metrics

Возможные вопросы на собеседовании

Проверка способности расставлять приоритеты в условиях высокой нагрузки от разных отделов.

Как вы расставляете приоритеты в дорожной карте аналитики, когда сталкиваетесь с конкурирующими запросами от отделов маркетинга, продаж и продукта?

Оценка технического видения и опыта управления инфраструктурой.

Опишите ваш опыт консолидации или модернизации BI-платформ. С какими основными трудностями вы столкнулись и как их решили?

Проверка финансовой грамотности и понимания бизнес-метрик SaaS/Marketplace.

Какие ключевые показатели вы бы использовали для оценки эффективности инфлюенс-маркетинговой кампании и как бы вы связали их с LTV/CAC?

Оценка лидерских качеств и навыков наставничества.

Расскажите о случае, когда вам пришлось развивать аналитика с низкими показателями или выстраивать систему карьерного роста для команды.

Проверка навыков коммуникации с топ-менеджментом.

Как вы транслируете сложные технические выводы и статистические модели в понятные рекомендации для исполнительного руководства (C-level)?

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later
Страна
США
Зарплата
200 000 $ – 225 000 $