Customer Success and its associated strategy is absolutely essential to drive our long-term profitability. As such, we are looking for a Data Scientist who will deliver exceptional insight and analysis to a wide range of senior internal stakeholders enabling them to concentrate on delivering service excellence.  The central CS Operations team has the responsibility for formulation and execution of the transformation strategy.  We work with an extensive network of subject matter experts within the orgranisation to deliver initiatives in line with our plan.

We are looking for a candidate that can embed themselves in predictive analytic models across the full software product portfolio and organisation. You will already be an established data professional who will help drive improvements in the Customer lifecycle through insights, innovation and recommendations based on your findings. 

Your main focus will be working with the Customer Success Operations and Management teams analysing current data models and data sets, implementing new methodologies, metrics & data models (working in partnership with relevant stakeholders and other data analysts and scientists) and providing valuable insights and recommendations based on your detailed analysis.

Key duties and responsibilities:

• Creating scalable statistical and analytical models based on the combination of current and future data sets.
• Work with the wider Customer Success teams to understand goals and requirements all aligned to improving the customer experience and building lifetime customer value
• Work with the CS team to produce data visualisations and insight reports for key Customer Success stakeholders.
• Summarise and communicate conclusions and solutions to analytic and non-analytic stakeholders.
• Identify new data and analysis opportunities and recommend acquisition of appropriate datasets
• Work with stakeholders to define the future CS Data model linked to our CS strategy and vision
• Lead the formulation of data quality procedures to ensure continuous improvement.
• All plans/deliverables focus on improving customer satisfaction and customer retention/churn reduction.

Required Skills and Experience:

• Wide experience with data analytics, data correlation, statistical algorithms, databases, data regression, and scripting languages in a corporate data and analytics environment
• A strong background in a quantitative/analytical discipline, with a relevant degree preferred
• Proven ability to drive business results with their data-based insights
• Experience in software applications (particularly SaaS applications) across various sectors
• Experience in data visualization, and data manipulation tools such as Tableau
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Experience in one data analysis and ETL tools such as SQL and Alteryx, Tableau
• Experience in statistical computer language such as Python or similar

What does Access offer you?

We are a growing software company and we deliver on what we say we do! We take the development of our people very seriously! We will work with you to carve out your success plan and an opportunity to accelerate your career and make a real difference.

In addition to our standard benefits of 25 days holiday, a match contributory pension and healthcare you will get:  

• A Competitive Salary
• Giving Back/Charity days
• Quarterly Socials
• 6 weeks Sabbaticals (after 6 years of service)
• The Access Group Big Break: our all-expenses paid holiday to Spain

Become part of our amazing Access family!