# Senior Data Analyst

**Company**: Wise
**Location**: Tallinn, Estonia
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Wise/744000130789616-senior-data-analyst?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-data-analyst-20d1c4fc-e29/

## Description

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.

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## Skills

### Required
- statistics
- maths
- physics
- engineering
- economics
- SQL
- Python
- R
- data visualisation
- forecasting
- predictive modelling

### Nice to have
- ARIMA
- Holt-Winters
- time series analysis
- WFM Systems
- Quality team
- Operation domains

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Wise/744000130789616-senior-data-analyst?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)