Location: Bengaluru, Karnataka, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Growth Analyst, Paid Acquisition
Team:
Talent Marketplace
Company:
Turing
Location:
Bangalore, India
Experience Level:
2–4 years of relevant experience
Why Join Turing?
Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets.
As a Growth Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding.
As a Growth Analyst You Will
Own Paid Acquisition Campaigns
Plan, launch, manage, and optimize campaigns across Meta and Google Ads.
Develop targeting strategies across audiences, geographies, job categories, and professional skill sets.
Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization.
Translate Marketplace Demand Into Growth Plans
Understand priority roles, talent requirements, and marketplace timelines.
Build acquisition plans that reach relevant professionals when and where they are needed.
Adjust campaign priorities as marketplace demand and business needs change.
Optimize for Applicant Quality
Track performance from ad click and application through qualification, selection, and onboarding.
Improve cost per qualified applicant and cost per onboarded professional.
Identify the audiences, messages, and channels that produce the strongest downstream outcomes.
Run Experiments and Improve Conversion
Test audiences, keywords, creative, messaging, landing pages, and bidding strategies.
Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates.
Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms.
Measure and Communicate Performance
Monitor spend, acquisition costs, conversion rates, and funnel performance.
Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results.
Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies.
The Opportunity
Own meaningful growth:
Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace.
Connect marketing to outcomes:
You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes.
Work across the business:
You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges.
Build repeatable systems:
You will develop campaign approaches that can scale across roles, markets, and professional audiences.
Our Growth Analysts Typically Have
Hands-on paid acquisition experience:
Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management.
Strong platform expertise:
Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization.
Quality-focused performance management:
A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results.
Analytical judgment:
Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager.
Operational ownership:
The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams.
Top-Tier Candidates Will Have
Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels.
Experience in talent marketplace growth, job platforms, or high-volume lead generation.
Experience running campaigns across multiple countries or for specialized professional audiences.
Familiarity with advertising policies applicable to employment campaigns.
Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Bengaluru, Karnataka, India; For applicants from the European Union, please review
Задачи:
— Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации.
— Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика.
— Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей.
— Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели.
— Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста.
— Строить и поддерживать аналитические и функциональные dashboards.
— Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз.
— Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации.
— Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта.
Требования:
— Опыт работы в data analytics от 7 лет.
— Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики.
— 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing.
— Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др.
— Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез.
— Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации.
— Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами.
— Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования.
— Знание Python или R для аналитики, автоматизации и моделирования.
— Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных.
— Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker).
— Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
— Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику.
— Сильные аналитические способности и системное мышление.
— Внимание к деталям, высокий уровень самоорганизации и ответственность за результат.
— Умение понятно доносить технические выводы до нетехнических команд.
— Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин.
Условия:
— Удаленный формат взаимодействия.
— График: с 10:00 до 19:00 по времени Кипра.
— 20 дней отпуска и оплачиваемые больничные.
— Зарплата - по договоренности, в зависимости от Вашего уровня и опыта.
— Работаем по праздничному календарю Кипра.
— Испытательный срок - 3 месяца.
Заказчик: компания, которая более 8 лет занимается закупкой и монетизацией трафика, а сейчас развивает собственные мобильные приложения (рекламная монетизация).
Формат работы: удаленка.
Локация и график работы: компания находится на Кипре, работа с 10 до 19 по Кипру.
Ваша локация - еврозона или Азия, не РФ.
Оформление: B2B договор.
Wise — международная финтех-компания, предоставляющая услуги перевода и управления деньгами по всему миру. Компания оценивается в $11B+, размер команды — 1000+ человек.
Требования:
— 4+ года опыта
— Знание SQL
— Знание Python
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games.
We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide.
ROLE
We’re looking for a Senior Data Analyst to join our Engineering & Data team.
The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction.
We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.
This position is hybrid and requires 3 days per week in the office based in Paris.
- Design, build and monitor data models & dashboards to track business metrics
- Work with cross-functional teams to identify key business needs and solve them using adequate statistical models
- Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights.
- Establish data quality processes to ensure the reliability and accuracy of our machine learning models.
- Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support.
- Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment.
- Work closely with the central data team to source additional data and enhance data management practices
PROFILE
- At least 4 years' experience in Data Analysis
- Proficient with SQL and/or Python, with a proven experience working with large and complex data sets.
- Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail.
- Experience with statistical modeling & predictive analytics
- Excellent verbal & written communication abilities
- Experience building dashboards with Tableau.
- Experience in gaming industry or mobile marketing is a plus
- Any personal or professional experience with machine learning will be valued
OUR STACK
SQL; Python; DBT; AWS; Tableau
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
At Higgsfield, growth runs on data, and this role owns it.
This role owns the analytical engine behind growth:
- Data parsing & pipelines
- Dashboards & reporting
- Funnel analysis
- Insight & hypothesis generation
YOU MAKE SURE:
- The growth team always knows what's working, what's not, and why
- Every channel, cohort, and funnel step is measured accurately
- Hypotheses that could grow reach and revenue are surfaced constantly
- Decisions are made on data, not gut feeling
You are the person who turns raw data into growth.
WHAT YOU WILL DO
Data & Analytics
- Parse, clean, and structure data from multiple sources: product, marketing, and payments.
- Own ETL processes.
- Build and maintain dashboards the growth team will use daily.
- Analyze the full funnel, from acquisition and activation to conversion, retention, and revenue, and find where we're suboptimal.
- Reconcile numbers across Sheets, dashboards, and analytics tools.
Insights & Hypotheses
- Constantly look for insights: anomalies, patterns, and opportunities.
- Generate and prioritize hypotheses that could increase our reach and revenue.
- Turn analysis into clear, human-readable recommendations: visualize data for humans, not for other analysts.
- Flag inconsistencies, broken tracking, or incorrect assumptions early, and drive fixes.
Enabling the Growth Team
- Answer the team's data questions fast, so growth managers can move without waiting.
- Help design experiments and measure their results honestly.
- Automate repetitive workflows:
- Data collection
- Reporting
- Dashboard refreshes
- Use tools like Google Sheets, SQL, Python, APIs, or scripts – we use AI heavily, so resourcefulness beats syntax.
- Reduce manual work and increase reliability as volume scales.
WHO WE’RE LOOKING FOR
We’re looking for a high-agency https://www.highagency.com analyst.
You should have:
- Proficiency in Google Sheets and SQL.
- Python at entry level is fine – we use AI heavily, resourcefulness matters more than syntax.
- Understanding of ETL processes and how data moves between systems.
- Ability to visualize data for humans: clear, decision-ready charts.
- An always-on instinct for insights.
- Resourcefulness, responsibility, and an ownership mindset: you get things done.
- Clear written and spoken English, B2+ level.
Backgrounds that often do well:
- Data or marketing analytics with strong execution bias
- Growth Ops / BizOps people
- Early startup analysts who built reporting from scratch
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait to be told what to analyze
- Prefer building models over driving decisions
- Need perfect data before you can say anything useful
- Are uncomfortable presenting findings and pushing back
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Задачи:
— Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации.
— Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика.
— Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей.
— Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели.
— Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста.
— Строить и поддерживать аналитические и функциональные dashboards.
— Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз.
— Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации.
— Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта.
Требования:
— Опыт работы в data analytics от 7 лет.
— Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики.
— 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing.
— Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др.
— Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез.
— Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации.
— Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами.
— Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования.
— Знание Python или R для аналитики, автоматизации и моделирования.
— Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных.
— Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker).
— Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
— Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику.
— Сильные аналитические способности и системное мышление.
— Внимание к деталям, высокий уровень самоорганизации и ответственность за результат.
— Умение понятно доносить технические выводы до нетехнических команд.
— Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин.
Условия:
— Удаленный формат взаимодействия.
— График: с 10:00 до 19:00 по времени Кипра.
— 20 дней отпуска и оплачиваемые больничные.
— Зарплата - по договоренности, в зависимости от Вашего уровня и опыта.
— Работаем по праздничному календарю Кипра.
— Испытательный срок - 3 месяца.
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра
ГибридseniorParis
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра
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