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Senior Data Analyst
Привлекательная вакансия в известном стартапе с хорошим соцпакетом (акции, страховка, фитнес). Четкие требования и современные технологии, однако работа строго в офисе и специфический график могут подойти не всем.
Сложность вакансии
Роль требует высокого уровня владения SQL и Looker, а также умения работать с финансовыми показателями. Основная сложность заключается в необходимости переводить неоднозначные бизнес-задачи в четкие аналитические отчеты и работать по графику Великобритании.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior Data Analyst в Бангалоре рыночный диапазон составляет от 1.8 до 3.5 млн индийских рупий в год. Предложение Easyship, вероятно, находится в верхней части рынка, учитывая наличие опционов и международный статус компании.
Сопроводительное письмо
I am writing to express my interest in the Senior Data Analyst position at Easyship. With over 3 years of experience in data analytics and a strong background in SQL and Looker, I have consistently focused on transforming complex datasets into actionable business insights. My experience working with SaaS and logistics metrics aligns perfectly with Easyship's mission to democratize global eCommerce logistics.
In my previous roles, I have not only built robust dashboards but also served as a strategic partner to business teams, helping them understand the 'why' behind the numbers. I am particularly excited about your focus on leveraging AI-driven approaches to enhance data workflows, as I am constantly looking for innovative ways to automate quality checks and improve storytelling through data.
I am comfortable working in a fast-paced environment and am eager to bring my analytical mindset to your Bengaluru team. Thank you for considering my application. I look forward to the possibility of discussing how my skills can contribute to Easyship's continued growth.
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Откликнитесь в easyship уже сейчас
Присоединяйтесь к Easyship в Бангалоре и станьте ключевым звеном в развитии глобальной логистической платформы через глубокую аналитику данных!
Описание вакансии
About Easyship:
Easyship is one of the world’s leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we’ve been on a mission to democratize logistics by removing the "black box" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single "mission control" for global trade, offering access to 550+ courier services across 200+ destinations.
We are an award-winning, global team (Forbes 30 Under 30, TechInAsia’s Best Startup) with offices in London, New York, Hong Kong, and beyond. We’re growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we’d love to have you join us.
About the role:
As a Senior Analyst, you will join a lean and fast-moving data team where you thrive on solving ambiguous business problems, driving clarity from complexity. You will go beyond reporting to elevate the organization’s analytics capability. You don’t just build robust dashboards and ensure data accuracy, you interpret complex datasets, uncover insights, and turn them into actionable recommendations for business teams.
By partnering closely with stakeholders, you help uncover the why behind the numbers and guide data-informed decisions through clear and compelling storytelling. You are also curious about leveraging AI-driven approaches and modern data stack tools to enhance workflows, unlock deeper insights, and propose innovative solutions that weren’t possible before.
What you additionally need to know:This is a full-time, onsite role based in our Bengaluru (MG Road) office. The role follows UK collaboration hours (11:00AM–8:00PM IST) to support seamless cross-regional execution.
What would be you be responsible for:
- Dashboard/Reporting Strategy & Ownership:
- Create new dashboards (e.g., KPI, operational metrics) using BI tools.
- Troubleshoot and refine existing dashboards to ensure accuracy and relevancy.
- Improve dashboards to provide not just data, but context and guidance.
- Analytics & Insights:
- Go beyond reporting by analyzing performance trends, diagnosing root causes, and surfacing actionable recommendations
- Data Accuracy & Quality Control
- Regularly audit dashboards and sources; identify discrepancies and fix them
- Collaborate with data engineering teams to ensure the underlying data pipelines are robust.
- Stakeholder Partnership
- Gather requirements for new dashboards or analysis needs
- Present insights and ensure end-users understand how to interpret numbers
- Serve as a trusted advisor to business teams, understanding their challenges and proactively proposing data-driven solutions.
- Storytelling with Data:
- Translate complex analyses into clear, engaging narratives that drive decision-making at all levels.
- Continuous Improvement and Leveraging AI
- Stay updated on BI best practices and suggest improvements or new features
- Continuously learn advanced SQL, BI, and emerging AI capabilities to expand the team’s analytical toolkit.
- Experiment with automation (e.g., AI-driven data quality checks, report generation) to free up time for higher-value analysis.
You Might Be a Good Fit If…
- Experience
- You have 3+ years experience as a data analyst/ business analyst/product analyst/ BI analyst or similar roles, ideally in SaaS, logistics, or e-commerce
- You have experience working with finance teams (e.g., revenue, cost, or profitability analysis) is preferred.
- Technical Skills
- You have advanced SQL proficiency, comfortable working with large, complex datasets.
- You have expertise with BI tools (Looker); able to design intuitive, high-impact dashboards.
- you have strong Excel/Google Sheets capabilities for quick analyses.
- Analytical & Problem-Solving
- You can translate ambiguous business problems into structured analyses.
- You can distill data into insights, not just outputs.
- You can connect findings directly to business drivers and opportunities.
- Storytelling & Communication
- You can craft narratives that make data approachable for non-technical audiences.
- You can build trust with stakeholders by linking insights to decisions and outcomes.
- You have strong presentation skills: can influence leaders with clarity and confidence.
- Mindset
- You are curious, proactive, and commercially aware.
- You can balance detail orientation with big-picture thinking.
What we bring to the table as an employer:
- Generous remuneration and stock units
- Comprehensive health coverage
- We reimburse gym and wellness expenses so you can invest in your health
- Zomato digital meal credits and pantry full of wholesome snacks to keep you fuelled through the workday
- The freedom to ‘Work from Anywhere’ for 4 weeks in a year
- Generous vacation policy, plus duvet days and mental health days to truly recharge
How we value inclusion in our recruitment practices:
Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.
How did the story of Easyship start? Find out below.
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Навыки
- E-commerce
- Logistics
- Excel
- Financial Analysis
- Google Sheets
- SaaS
- SQL
- Looker
- Data Visualization
- Business Intelligence
Возможные вопросы на собеседовании
Проверка навыков работы со сложными данными и оптимизации запросов.
Опишите наиболее сложный SQL-запрос, который вам приходилось оптимизировать для повышения производительности дашборда.
Оценка способности кандидата влиять на бизнес-решения.
Приведите пример, когда ваш анализ привел к конкретному изменению в бизнес-стратегии или операционных процессах.
Проверка опыта работы с BI-инструментами, указанными в вакансии.
Как вы подходите к проектированию дашборда в Looker, чтобы он был интуитивно понятен нетехническим пользователям?
Оценка навыков работы с финансовыми данными, что является преимуществом.
С какими метриками доходности или прибыльности вы работали ранее и как вы обеспечивали точность этих данных?
Проверка интереса к инновациям, упомянутым в описании.
Как вы видите применение AI-инструментов в повседневной работе дата-аналитика для повышения эффективности?
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