Senior Data Analyst

We are looking for a Senior Data Analyst to join our team in Tallinn, Estonia. As a Senior Data Analyst, you will be driving our analytics efforts in our operations teams, partnering with various stakeholders to help drive data-driven decisions that support our fast-growing product.

Responsibilities:

• Analytical Capacity Planning and Forecasting: Build and refine analytical models for strategic capacity planning, and take ownership of forecasting efforts to align with business growth and operational demands.
• Data Pipeline Ownership: Maintain and improve data flow, ensuring reliability and accuracy.
• Predictive Modeling and Cause and Effect Analysis: Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.
• Strategic Support and Analysis: Provide critical insights to assess the operational health of the KYC/FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics to understand impacts on customer experiences.
• Performance Tracking and Initiative Optimisation: Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes.
• KPI Implementation and Target Setting: Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations.
• Stakeholder Collaboration and Process Standardisation: Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment.

Requirements:

• Quantitative Foundation: Background in statistics, maths, physics, engineering, economics, or another scientific field.
• A Statistical Mindset: Natural grasp of data logic, understanding distributions, variance, and significance.
• 2+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset.
• Experience working with operational team analytics, including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
• Experience working with complex data models in SQL and analysing it using advanced SQL/Python/R.
• Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights.
• Experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data.
• Bias to action - identify what needs to be done and make it happen.

Nice to have:

• Prior experience in Operation domains.
• Experience working with a WFM or Quality team.
• Experience working with WFM Systems.
• Experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods.