Data Analyst
1 miesiąc temu
LeasingTeam Group is seeking a skilled Data Analyst to join our team. As a Data Analyst, you will play a crucial role in supporting our business by analyzing and interpreting complex data sets.
Key Responsibilities:
- Evaluate and dissect people data to identify trends and recommend enhancements for core people metrics;
- Manipulate and analyze large data sets to distill insights and give recommendations;
- Develop business models to identify correlations in order to predict outcomes and business impacts;
- Delivering key metric reports in a timely manner;
- Focus on providing summaries and insights, preparation of business recommendations not only raw data;
- Promote People Analytics team as a trusted business advisor and drive data-driven mindset across P&C;
- Partner with the P&C teams on people projects to identify and clarify critical people issues, deeply understand our people processes, and analyze data to drive improvement;
- Determine and articulate internal customer business questions, develop the best approach for data analysis and turn data into actionable insights & recommendations;
- Synthesize and translate internal and external business data needs into the development and implementation of creative, clear and effective solutions with Power BI. Taking ownership of the content and maintenance;
- Assist User Acceptance Testing (;UAT); including communicating outcomes and integrating feedback
- Data modeling using different statistical techniques such as logistic and linear regression, decision trees, neural network or clustering.
Requirements:
- University degree in a quantitative discipline such as Statistics, Data Science, Finance, Econometrics;
- Fluent written and spoken English;
- 4 years + of work experience in data analytics. P&C experience as a plus;
- Good command of Excel, SAP. Knowledge of Power BI, SQL and R/Python as a plus;
High communication skills;
Strong focus on data and numbers;
Ability to analyze large data sets and draw conclusions;
Strong business orientation and experience in working with stakeholders;
Highly developed interpersonal skills.- Employment contract;
- Flexible working hours: possibility to start work from 8-10 am;
- Completely remote work;
- Benefit package: medical care, life insurance, sports card, language classes, access to courses and training;
- Ability to work remotely 30 days a year from abroad (;workation);;
- Annual bonus.
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