Fresh Jobs at Moniepoint Inc. (Formerly TeamApt Inc.)

What you’ll get to do

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

To succeed in this role, we think you should have

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• 4-7 years of relevant work experience
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• We’re looking for someone with a minimum of 3 years of experience manipulating data sets and building statistical models.
• BSc in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: C, C++, Java.

Some of the technologies you’ll get to work with

• Java (latest versions)
• C++, C
• SQL, Python, R

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, Employee Stock Options, annual bonus, plus other benefits.

go to method of application »

• Customer Success is one of the largest and fastest growing Departments in Moniepoint with over 700 FTE to support significant business growth.
• However there is a lack of data to understand why customers contact Moniepoint and how we can help improve the overall customer experience and drive self service.
• In addition we lack any forecast models for incoming demand, workforce management/ demand planning to optimise scheduling of resources across various channels, and adherence management.
• There is also only rudimental Customer Service Dashboards which are not used consistently across the Operation.

Responsibilities

As a Senior Data Analyst within our Customer Success Team, you would:

• Analyse customer service data to identify trends, gaps and improvement opportunities
• Use data/ analysis to help develop understanding of failure demand, and develop with stakeholders options to help improve overall customer experience and promote customer self service.
• Create from scratch & then update Workforce Management/ Resource planning including demand forecast across all channels and optimal resource scheduling and adherence management
• Build, maintain and evolve dashboards and reports in collaboration with the relevant stakeholders suitable for an Executive audience as well as Operations teams.
• Liaise with a Data Engineer to define data warehouse structure/requirements

Requirements

Minimum:

• At least 6 years of relevant experience as a Data Analyst/ Senior Data Analyst or similar roles, with a focus on customer success
• Experience in developing from scratch similar failure demand/ Workforce Management/ Resource planning/ Dashboards in another Customer Success organisation ideally Fintech/ Banking
• Advanced proficiency with SQL
• Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
• Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
• Excellent problem solving skills

Relevant experience with the following would be an advantage:

• Python or any other scripting language
• Git or any other version control tool
• Forensic audit / Zendesk