
Customer Data Analyst
23 hours ago
We are growing our team in Digital Sales and Engagement Finland, looking for a person that loves working with data and analysis to join our existing Analytics team.
Every day, we work hard to ensure that each individual customer in Nordea receives personalized follow-up and advice in digital platforms. As a key member of the Personal Banking Analytics Finland / Data, Digital Sales and Engagement team, you will be building the omnichannel customer journey seamless experience by connecting different data sources across our platforms and applications.
About this opportunityWe want to send relevant personalised messages to our customers offering the right product or service, in the right channel, at the right time.
Key Responsibilities:- You will act as a link between data and omnichannel customer journey development, working on e.g. product portfolio, sales funnels, campaign performance, sales reports, customer segmentation or propensity models for marketing.
- You will participate actively in the work of digital customer journey teams, training and coaching the team to utilize data & analytics.
- You will give regular updates and insights on how omnichannel business is developing including e.g. sales, activity performance, customer behavior, pricing, process steps and demand.
- You will help on the set up of customer engagement activities: analysis to identify target groups, evaluate data availability, support utilizing sufficient control groups, monitor the outcome of activities, and evaluate the results.
- You will recommend and perform analysis of different data sources to spot development trends and pain points.
The role requires collaboration with a wider data analyst community to build analytics & tools needed for business development.
Requirements:- Academic degree in highly quantitative discipline or specialisation such as Computer Science, Physics, Statistics, Mathematics, Engineering, Economics, or Finance.
- 2+ years of experience in data analytics, ideally delivering tangible benefits / outcomes.
- Comfortable in using languages for data science & statistics e.g. Python, R, SQL.
- Familiarity with databases like Snowflake & visualization tools such as Power BI.
- Proficient in written and spoken English and preferably also Finnish.
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