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Data analyst (m/f/x)

Zug
Empira Group
Data Analyst
Inserat online seit: 4 März
Beschreibung

OverviewYour missionPerforming data analyses and summarizing financially relevant data from various departments (i.e., target/actual comparisons, KPIs, etc.).Creating and further developing code-based reports and BI dashboards with a quantitative focus for various stakeholders.Supporting the maintenance, validation, and documentation of databases, data pipelines, and software interfaces.Improving data quality using appropriate tools, further developing existing collection methods, and visualizing the results.Automation and optimization of processes as well as support in rollouts of new data solutions and digitization initiatives.Performing backtests on raw data for analysis and evaluation of investment, fund, and company data.Support in administrative tasks such as coordinating data access or reporting requests and preparing presentation content.
ResponsibilitiesPerforming data analyses and summarizing financially relevant data from various departments (i.e., target/actual comparisons, KPIs, etc.)Creating and further developing code-based reports and BI dashboards with a quantitative focus for various stakeholdersSupporting the maintenance, validation, and documentation of databases, data pipelines, and software interfacesImproving data quality using appropriate tools, further developing existing collection methods, and visualizing the resultsAutomation and optimization of processes as well as support in rollouts of new data solutions and digitization initiativesPerforming backtests on raw data for analysis and evaluation of investment, fund, and company dataSupport in administrative tasks such as coordinating data access or reporting requests and preparing presentation content
QualificationsDegree in data science, business informatics, computer science, or a comparable qualification2 to 5 years of professional experience in a data-driven environmentSolid knowledge of R, Python, SQL, and ExcelKnowledge of quantitative financial analysis and data interpretation in an investment contextStrong affinity for numbers, analytical skills, results-oriented approach, and willingness to learnConfident written and spoken German, ideally good English skillsIndependent, self-reliant approach to working in a team
Why usDynamically growing company with flat hierarchiesA wide range of creative opportunitiesCommitted and motivated teamAttractive salary packageTraining and development opportunitiesFlexible working hoursModern offices in a central location
Notes regarding your applicationWe look forward to receiving your application!Please fill out our online application form and upload your complete application documents. Once we have received your documents, we will send you a confirmation.Please note that we can only accept applications submitted via the online form.
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