Experienced Data Analyst at Hepstar Insurance Distribution

About the job

Do you love analysing and interpreting data? Are you a performance driven individual and does it excite you that your insights can make worldwide changes? Then you may be the right fit for this position…

About Hepstar

Hepstar is a Cape Town based TravelTech company that focusses on the supply and optimisation of travel ancillary products and services for airlines, online travel agencies and travel technology companies, particularly products offered to customers during the online ticket booking process. We are passionate about building and maintaining our proprietary technology stack that facilitates our ability to increases ancillary attachment rates and revenue from the sale of travel ancillaries while ensuring customer needs are met and customer experience is personalised. Data driven decision-making forms part of our daily lives of solving product recommendation and merchandising challenges. Hepstar has been recognised for its pioneering software, not only in Africa but also across the world.

We are a team of individuals who are passionate, dynamic and hard working. We are here to challenge traditional business models and incite disruptive changes within the industry we operate in!

Purpose of the role

We are looking for a highly motivated individual who loves analysing data from multiple sources to deliver innovative analytical solutions to complex problems that directly impact the company's bottom-line.

Under the supervision of the Head of Data Science & Analytics, you will plan and execute data analysis projects to extract relevant insights from medium to large data sets. The data will be used to monitor client performance, identify client and company opportunities, measure product performance and can influence the company’s strategic roadmap.

Daily activities include, but are not limited to

• Communicate actionable insights to internal and external audiences with pro-active recommendations using statistical techniques;

• Create and maintain reporting templates and dashboards;

• Manage data quality and manage processes to increase this;

• Create automated tools which identify performance trends and business opportunities;

• Identify and scope opportunities for process automation.

Qualification

Relevant qualification in statistics, computer science, research or similar.

Skills

• Strong planning, organising and time management skills;

• Strong analytical skills with the ability to independently collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy;

• Creative mind to use data to solve business challenges;

• Basic programming skills, particularly SQL, R and/or Python;

• Advanced MS Office skills (especially MS Excel pivot tables);

• Proficiency in available data analytics tools and experience in manipulating and analysing large data sets (e.g. SQL, R, Python, Matlab, KNIME, Pandas, Google Big Query, Google Data Studio, Microsoft Power BI);

• Knowledge of and experience with data analytics tools and techniques (Predictive analytics experience/knowledge is a plus).

Competencies

• Ability to independently drive projects with little direction;

• Attention to detail;

• Proactive;

• Ability to clearly and effectively communicate his/her point of view;

• Contributes to discussions of technical and non-technical nature;

• Can translate technical jargon into plain language;

• Collaborative team player with a win-win mindset;

• Reaches out to peers and cooperates with supervisors to establish collaborative working relationship;

• Regularly conducts cross-skilling and training with peers;

• Ability to embrace change;

• Adaptable to changing business and team needs;

• Thinks out the box and fins solutions to technical problems in creative ways;

• Self-starter with plenty of energy who is able to take initiative.

Experience

• Minimal 2 year BI and statistical reporting experience;

• Ability to translate data analysis insights into actions;

• Proven ability to complete projects and ad-hoc requests timeously and in line with requirements;

• Experience in running statistical tests.

Not required, but a plus:

• Experience in building predictive models, machine-learning approaches, clustering and classification techniques;

• Experience in the tech, travel and/or fintech industry.

What Hepstar offers you

• Gain experience in the traveltech space;

• Be part of an incredibly dynamic, passionate and energetic team;

• Flexible working hours.