Data Analyst - Customer Care

Detalles de la oferta

.About TravelPerkTravelPerk is a hyper-growth SaaS business travel platform and a pioneer in the future of business travel. Its all-in-one platform gives travellers the freedom they want whilst providing companies with the control they need. The result saves time, money, and hassle for everyone.Job DescriptionWe are looking for a Senior Data Analyst to join our team. You'll be working and supporting our amazing Customer Care function, analysing data being processed within this area in order to create useful insights for strategic purposes. This is an instrumental position to bring the business to the next level, as you will support senior stakeholders across the business with visual data analysis to facilitate conversations and assist in data-driven decision making. Are you ready to take off with us? Keep reading!What you will do:Conduct data analyses on key operational metrics to identify trends, inefficiencies, and opportunities for improvement.Query datasets from different sources, turning data into information, information into insight, and insight into product and business decisions.Use data to investigate and help resolve issues in our product or processes within Customer Care.Design and automate recurring reports and dashboards to streamline reporting processes, focusing on business reviews and operational metrics.Support the optimisation of customer support channels by analysing usage patterns and recommending strategies to enhance operational efficiency and customer satisfaction.Support stakeholders with visual data analysis to facilitate conversations and assist in decision making.What you'll need:Data Analysis & Modelling: Strong skills in statistical analysis, predictive modeling, and data visualization. Ability to identify key metrics, analyze performance trends, and recommend process optimizations.Operational Analytics & Automation: Proficient in reporting automation, ETL processes, and efficiency analysis. Experience in automating reports and conducting efficiency analyses.Technical Proficiency: Skilled in SQL, Python, and Excel for data manipulation, automation, and analysis. Familiarity with data visualization tools (ideally Looker) to present data insights effectively.Business Acumen: Ability to understand business objectives and translate data findings into actionable recommendations.Analytical Mindset: Strong analytical skills to interpret data, identify trends, and provide insights that drive decision-making.Communication Skills: Strong communicator capable of presenting insights to both technical and non-technical stakeholders.Cross-Functional Collaboration: Ability to work with various teams to understand their data needs and provide relevant insights.What do we offer?A competitive compensation package, including equity options in TravelPerk.25 days annual leave plus bank holidays.Company Pension Plan with Aviva.Private medical insurance from Bupa.Life insurance with Zurich


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

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