Senior Applied Analytics Engineer at The Hartford focusing on AI - driven analytics design and delivery. Empowering business users with conversational AI and actionable insights derived from complex insurance data.
About the role
- Junior Analytics Engineer at Ninox developing dashboards and improving data models. Collaborate across teams to support data-driven business decisions.
Responsibilities
- Develop dashboards for key teams (Product, Marketing, Finance, Operations, Management) using your SQL expertise
- Perform deep‑dive analyses to uncover user behaviour patterns and performance drivers
- Convert analytical findings into clear, actionable recommendations
- Support user behaviour tracking for product and marketing initiatives
- Partner with stakeholders from product development and business operations to understand data needs
- Educate teams on how to use dashboards, reports, and data sources you created
- Be a go‑to data partner for ad‑hoc questions and strategic analysis
- Improve data quality, consistency, and structure across datasets
- Integrate new data sources via APIs and ETL/ELT tools
- Contribute to documentation and data governance practices
- Participate in designing scalable pipelines and monitoring data reliability
Requirements
- Degree in Computer Science, Mathematics, Business/ Data Analytics, or a related field
- 1 to 2 years professional experience
- Strong SQL knowledge and confidence working with databases
- Data Warehouse Fundamentals
- Good understanding of statistics and analytical thinking
- First experience with BI tools (Power BI, Looker, Data Studio, Tableau, etc.)
- Familiarity with digital analytics (GA4, GTM, Mixpanel, Amplitude)
- Experience with dbt, or data pipelines
- Expertise in programming languages: Python and JavaScript
- Curiosity, ownership mindset, and eagerness to learn new tools & methods
- Strong communication skills and ability to explain complex topics clearly
- Fluent written and spoken English
- Experience in SaaS or user‑behavior analytics preferred
Benefits
- Large impact: Your work directly influences product roadmap and business strategy and you will work directly with company leadership
- Strong mentorship: You will learn from experienced senior engineers and analysts
- Modern tech environment: Help shape a scalable, high‑quality analytics stack
- Freedom & responsibility: Lots of ownership from day one
- Flexible working conditions
- 30 vacation days
- 30 days of mobile work – you can work from any country in the world.
- Health and Fitness Club Membership through Wellhub
- Subsidized Company Deutschlandticket
- Dog‑friendly Berlin‑Mitte office
- Multicultural, ambitious, and supportive team
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Analyst overseeing analytical topics for smart parking solutions in Germany. Conducting complex analyses and standardizing reporting processes across teams.
Director of Business Intelligence & Analytics Engineering managing data strategy at Podimo. Leading a high - performing team to bridge data engineering and business strategy.
Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross - functional teams to ensure data quality and mentorship of business analysts.
Analytics Engineer Associate at Teragonia designing and developing advanced analytics for private equity clients. Collaborating closely with clients and team to deliver tailored solutions.
Engagement Manager leading a team of analytics engineers to develop advanced analytics solutions for private equity clients in Toronto. Driving value creation through innovative insights and strategic analytics.
Senior Analytics Engineer developing scalable analytics models for real - world health data. Leading strategic initiatives and mentoring teams in a hybrid environment in London.
Analytics Engineer making data an operational tool at Newsec's Göteborg office. Strengthening the use of data and collaborating closely with Product Managers.
Join knowmad mood as a Data Engineer / Analytics Engineer focusing on data processing for hotel business analytics. Collaborate within a mature data team on technological modernization strategies.
Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.