数据分析师 – 中级
Data Analyst – Middle
Overview
SOFTSWISS 正在扩大其分析团队，寻找一名数据分析师，以帮助全面了解我们产品的表现。
该职位专注于分析关键产品和业务指标、用户行为以及性能变化。我们希望找到一位能够自信处理数据、发现有意义的洞察，并将这些洞察转化为对产品和业务团队清晰建议的分析师。
Purpose of the role
在该职位中，你将分析产品和业务指标，研究客户旅程不同阶段的用户行为，并找出性能变化的根本原因。
你的洞察将支持更好的产品和业务决策。你将使用 SQL 和 BI 工具准备数据、构建报告、调查异常情况，并为利益相关者提供临时分析支持。
Key responsibilities:
- 分析关键产品和业务指标，包括用户活动、留存率、转化率、与收入相关的指标以及其他核心 KPI。
- 通过群体分析、漏斗分析和生命周期分析研究客户旅程中的用户行为。
- 操作数据库：使用 SQL 提取、连接并准备数据用于分析。
- 构建和维护报告和 BI 仪表盘（优先使用 Tableau）以满足产品和管理需求。
- 调查异常和性能偏差——识别问题并诊断根本原因。
- 为产品和管理层团队运行临时分析，以支持战术和战略决策。
- 监控产品和财务数据中的数据质量和一致性。
- 记录指标定义、分析方法和关键发现。
Required Experience:
- 3 年以上数据分析师 / 产品分析师 / 运营分析师经验。
- 强大的分析思维能力，能够在业务背景下解读数字。
- 对核心分析概念有扎实的理解：漏斗、群体、留存率和生命周期指标。
- 能够将业务问题转化为分析任务，并向非技术人员清晰解释结果。
- SQL：熟练阅读和编写分析查询（连接、聚合、窗口函数）。
- 有 BI 工具经验，最好是 Tableau。
- 俄语流利，口语和书面表达均熟练。
- 英语 B2 级，口语和书面表达均熟练。
Nice to have:
- 在 iGaming / fintech / B2B SaaS 领域有经验。
- 理解产品和业务单元经济学，包括收入驱动因素、转化率、留存率、客户价值和盈利能力指标。
查看英文原文
Overview
SOFTSWISS is expanding its analytics team and is looking for a Data Analyst to help gain full visibility into the performance of our products.
The role is focused on analysing key product and business metrics, user behaviour, and performance changes. We are looking for an analyst who can work confidently with data, identify meaningful insights, and translate them into clear recommendations for product and business teams.
Purpose of the role
In this role, you will analyse product and business metrics, study user behaviour across different stages of the customer journey, and uncover the root causes behind performance changes.
Your insights will support better product and business decisions. You will work with SQL and BI tools to prepare data, build reporting, investigate anomalies, and provide ad-hoc analytical support to stakeholders.
Key responsibilities:
- Analyse key product and business metrics, including user activity, retention, conversion, revenue-related metrics, and other core KPIs.
- Study user behaviour across the customer journey through cohort, funnel, and lifecycle analysis.
- Work with databases: extract, join, and prepare data for analysis using SQL.
- Build and maintain reporting and BI dashboards (preferably in Tableau) for product and management needs.
- Investigate anomalies and performance deviations — identify problems and diagnose their root causes.
- Run ad-hoc analyses for product and leadership teams to support tactical and strategic decisions.
- Monitor data quality and consistency across product and financial data.
- Document metric definitions, analytical approaches, and key findings.
Required Experience:
- 3+ years as a Data Analyst / Product Analyst / Operations Analyst.
- Strong analytical thinking and the ability to interpret numbers in a business context.
- Solid understanding of core analytics concepts: funnels, cohorts, retention, and lifecycle metrics.
- Ability to translate business questions into analytical tasks and explain results clearly to non-technical stakeholders.
- SQL: confident reading and writing analytical queries (joins, aggregations, window functions).
- Experience with BI tools, ideally Tableau.
- Fluent Russian, both spoken and written.
- English B2, both spoken and written.
Nice to have:
- Experience in iGaming / fintech / B2B SaaS.
- Understanding of product and business unit economics, including revenue drivers, conversion, retention, customer value, and profitability metrics.
- Basic statistics: confidence intervals, p-values, common pitfalls in experiment interpretation.
- Experience with ClickHouse.
- Python for analytics.
Our Benefits:
- Full-time work opportunities
- Private insurance
- An additional Day Off (1) per calendar year
- Sports program compensation
- Comprehensive Mental Health Programme
- Free online English lessons with native speakers
- Generous referral program
- Training, internal workshops, and participation in international professional conferences and corporate events
Originally posted on Himalayas