Lift — українська продуктова IT-компанія, яка будує AI-first застосунки для фото та відеоредагування. З 2020 року наші продукти — мобільний редактор Lift та веб-платформу Liftapp.ai обрали понад 15 мільйонів користувачів по всьому світу з середнім рейтингом 4.8 з 5. Наша ціль стати A-Player паблішером у категорії мобільного фото/відеоредагування. Наразі ми на стадії масштабування бізнесу та запуску нових продуктів. Тому відкриваємо позицію Analytics Team Lead, щоб зробити наступний крок у розвитку аналітичної функції — вибудувати чіткі процеси, сильну команду та масштабувати експертизу. Ми очікуємо, що ця роль стане ключовою у розвитку data-driven культури у всіх проєктах компанії. Твоїми завданнями будуть: - Менеджмент та розвиток команди продуктової й маркетингової аналітики — онбординг, менторинг, постановка цілей, оцінка результатів та побудова ефективних процесів роботи. - Робота з ключовими фінансовими показниками: прогнозування Revenue, LTV, ROI-аналіз маркетингових кампаній. - Розвиток аналітичної інфраструктури: дашборди, звіти та автоматизації, а також трансформація інсайтів у конкретні бізнес-рішення. - Впровадження єдиних стандартів метрик, термінології та аналітичних підходів у всіх продуктах Lift - Взаємодія з CEO, CPO та Head of Marketing — допомога командам у знаходженні точок зростання. Що ми очікуємо від тебе: - 3+ роки досвіду в аналітиці даних у продуктових компаніях, з яких щонайменше 1 рік - у ролі ліда або ментора - Досвід побудови аналітичних команд та інфраструктури з нуля; - Впевнене знання SQL, Python та досвід роботи з БД - Практичний досвід з Amplitude та BI-інструментами: Tableau або Power BI - Розуміння subscription-based бізнес-моделі, маркетингової аналітики та атрибуції трафіку. Ми пропонуємо: - Можливість працювати як в офісі, так і віддалено. - Гнучкий графік роботи. - Онлайн-послуги корпоративного лікаря, а після випробного терміну — медичне страхування в Україні. - 20 робочих днів оплачуваної відпустки на рік, необмежену кількість лікарняних. - Усю необхідну для роботи техніку. - Компенсацію найкращих на ринку курсів, корпоративні онлайн-мітапи та лекції, велику бібліотеку, бізнес- та менеджмент школи для співробітників. - Безоплатні тренування зі стретчингу, боксу, йоги, волейболу, футболу, а також корпоративні знижки на абонементи в спортзали. Чекаємо на твоє резюме!

• Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. • Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives. • Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. • Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. • Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. • Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. • Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. • Work with the product team to design, implement, and test new functionalities that meet customer needs. • Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. • Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy.

• Partner with Product and stakeholders to support data-driven product and business strategy, you will report to the Sr. Director, Product Operations. • Collect, clean, and analyze product and operational data from multiple sources. • Build and maintain dashboards and reports to track product Indicators and performance. • Conduct ad-hoc analyses to support product launches and business initiatives. Translate data into clear insights for team members.

About Kindsight: Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors – at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising. Position Summary: We are seeking a highly skilled Engineering Lead, Analytics to design, build, and lead our data warehousing, analytics, and business intelligence capabilities across Kindsight’s product suite. In this role, you will contribute deep technical expertise in data architecture, ETL/pipeline development, and data visualization while providing strategic insight to drive data-driven innovation. You will collaborate closely with cross-functional teams—spanning product, engineering, data science, and business stakeholders—to deliver scalable, production-grade analytics solutions. You will hire, lead, and grow a high-performing team of data engineers and analysts, including offshore team members, while remaining a hands-on technical leader comfortable with rapid prototyping and agile delivery. What You’ll Do: - Design, build, and optimize the company’s data warehouse architecture using dimensional modeling (star/snowflake schemas) on platforms such as Redshift, Snowflake, or BigQuery. - Develop and maintain scalable, automated ETL/ELT pipelines using tools like AWS Glue, Apache Airflow, dbt, and Spark to support data ingestion, transformation, and quality assurance. - Create and manage interactive dashboards, KPI frameworks, and reporting solutions using Tableau, AWS QuickSight, or equivalent BI platforms. - Architect and manage cloud-based data infrastructure on AWS, including S3, Redshift/Athena, Glue, IAM/security configurations, serverless setups, and cost/performance optimization. - Lead end-to-end development of analytics features and the supporting backend infrastructure required to deliver them into production. - Translate business and product requirements into scalable data and analytics solutions, leveraging descriptive, predictive, and prescriptive analytics approaches. - Hire, lead, and mentor distributed and offshore engineering teams, managing delivery through agile processes, code reviews, and structured knowledge transfer. - Drive rapid prototyping and proof-of-concept development, championing CI/CD pipelines and test automation to accelerate iteration cycles. - Implement and enforce data security, governance, and compliance standards including encryption, access controls, and audit practices. - Partner with product, engineering, and data science teams to integrate analytics features into production systems with reliability, efficiency, and scalability. - Stay current on emerging trends, tools, and best practices in data engineering, analytics, and cloud architecture to drive innovation within the organization. What We’re Looking For: - 6+ years of experience in software engineering with 1+ years in engineering management. - 3+ years of core data warehousing experience including architecture, data modeling, and optimization. Must have hands-on experience with dimensional modeling, star/snowflake schemas, and platforms such as Redshift, Snowflake, or BigQuery. - 3+ years building scalable, automated ETL/ELT data pipelines with tools like AWS Glue, Airflow, dbt, or Spark. Must have experience handling data ingestion, transformation, and automated data quality solutions. - 3+ years of data visualization and BI experience using Tableau, AWS QuickSight, or equivalent. Must have demonstrated experience in dashboard design, KPI definition, and interactive reporting. - 3+ years of cloud architecture proficiency (AWS preferred) including S3, Redshift/Athena, Glue, IAM/security, serverless setups, and cost/performance optimization. - 3+ years of advanced SQL proficiency and hands-on experience with descriptive, predictive, and prescriptive analytics, KPI development, and data-driven decision support. Bonus for statistical fundamentals or close collaboration with data analysts. - 2+ years of experience hiring and leading offshore or distributed engineering teams, managing delivery and agile processes, performing code reviews, and ensuring knowledge transfer. - 2+ years demonstrating rapid prototyping and an agile mindset, including proof-of-concept development, CI/CD practices, and early adoption of test automation. - 2+ years of experience with data security, governance, and compliance, including data encryption, access controls, and audit frameworks. - Bachelor’s or Master’s degree in Computer Science, Data Science, Analytics, or a related field. - Excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical audiences. Bonus: - Experience building within the Salesforce platform, including API integrations, custom ETL with Salesforce data models and objects. - Familiarity with CRMs, ERPs, or launching data products on Salesforce. - Familiarity with fundraising practices and metrics (e.g., donor lifetime value, conversion rates). - Contributions to open-source data engineering or analytics projects. Compensation Range: $150,000 - $170,000 CAD OTE annually, based on experience, market benchmarks and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market. This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference. We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.