Financial Data Insights Lead
2 days ago
We serve clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.
The Senior Product Analyst will play a critical role in delivering cutting-edge data analysis and visualization solutions tailored to the product team. Your extensive expertise in analytics and data visualisation will be instrumental in transforming complex financial datasets into actionable insights for both internal teams and clients.
This role requires you to collaborate closely with product leaders. Your technical proficiency in SQL, Power BI/Tableau, Python, A/B Testing and experience in product analytics will be essential in driving innovation, enhancing data processes, and ensuring seamless delivery of data-driven solutions to clients and stakeholders.
**Responsibilities:**
* Product Analytics: provide insights into feature adoption, leading/lagging metrics to track product performance.
* KPI creation and monitoring: work with PMs to build the right set of KPIs and prepare dashboards which enable self-serve RCAs.
* Conduct impact assessments: conduct impact assessments of new feature/product launches providing actionable insights to the product team. Work with engineering team to ensure right data points are being captured and is available for tracking performance.
* Advanced Dashboard Development: Build dynamic, highly interactive Power BI dashboards, focusing on advanced visualization techniques such as waterfall charts, financial heatmaps, tree maps, and dynamic slicers for real-time financial data insights.
**Technical Skills Required:**
* Knowledge of key product analytics concepts, including user behavior tracking, funnel analysis, retention analysis, and cohort analysis, using tools such as Mixpanel, Amplitude, or Google Analytics.
* Proficiency in designing, executing, and analyzing A/B and multivariate tests to measure the impact of changes in product features or user interfaces. Familiarity with statistical concepts such as hypothesis testing, confidence intervals, and p-values.
* Strong SQL skills, including experience writing advanced queries, stored procedures, and optimizing data extraction from relational databases like SQL Server and Azure SQL.
* Expert-level proficiency in Power BI Desktop and Power BI Service, including Power Query, Dataflows, and Workspace management.
* Experience working with cloud-based data platforms (Azure Data Factory, Azure Synapse Analytics) to connect, ingest, and process financial data at scale.
* Familiarity with financial compliance and regulatory reporting (IFRS, GAAP).
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