POSITION OVERVIEW

We’re seeking a collaborative, proactive, and curious problem-solver to join us as Product Insights & Analytics at Xapo. 

Although we are headquartered in Gibraltar, this is a full time, 100% remote position. Work from anywhere!

RESPONSIBILITIES

As Product Insights & Analytics you will be responsible to:

• Solve business and product problems with data: query and process data, provide reports, summarize and visualize data.
• Be proactive in helping the product & marketing decision making process by ensuring everybody has the needed data and information available.
• Ask the questions to understand the needs and come up with timely solutions that meet those needs while making sure that the insights are reliable, precise and accurate.
• Define goals, metrics, KPIs, and develop dashboards to visualize the marketing and user funnels and how customers engage with the product.
• Help your team and stakeholders develop their KPIs and self-serve dashboards. 
• Assess the impact of marketing campaigns, releases of new features and other product decisions.
• Derive insights from our customers’ behaviour & journey to grow and optimize our marketing efforts, improve our product and retention, identify optimal communication channels and strategies.
• Work with business teams to design, analyse and interpret experiments that help improve product and marketing metrics. Generate data-driven hypotheses and advocate on testing best practices, contributing to accelerating our testing cycles.
• Develop and maintain models to predict customer engagement, LTV and retention.

REQUIREMENTS

• Proficiency with relevant analytics tools (e.g. Python or R), including at least one SQL dialect.
• Experience in designing and analysing A/B tests and experiments of varying degrees of complexity.
• Mastery of at least one data visualization tool (Looker, Tableau, Data Studio)
• Strong analytical and communication skills.

NICE TO HAVE SKILLS

• Work experience with Amplitude, Segment.
• Fintech Experience
• Work experience with the Google Cloud Platform: BigQuery, Dataflow, TensorFlow, Data Catalog. 
• Work/project experience with big data and advanced programming languages.
• Work experience with AWS tools to process data (DMS, Glue, Pipeline, Kinesis, Lambda, etc).
• Experience using Java, Spark, Hive, Oozie, Kafka, NiFi and Map Reduce.
• Experience with or advanced courses on data science and machine learning.

OTHER REQUIREMENTS

• A dedicated workspace. 
• A reliable internet connection with the fastest speed possible in your area.
• Devices and other essential equipment that meet minimal technical specifications.
• Alignment with Our Values.
• Ownership mentality.