Accelerant is seeking a talented and motivated Data Analyst to join our dynamic team. The ideal candidate will have a passion for data analysis, a strong analytical mindset, and the ability to derive meaningful insights from complex datasets. As a Data Analyst at Accelerant, you will play a key role in driving data-driven decision-making and contribute to the success of our organization.
How will you spend your time
- Data Analysis: Analyse complex datasets to identify trends, patterns, and correlations.
- Data Visualization: Create clear and compelling visualizations (charts, graphs, dashboards) to communicate findings to non-technical stakeholders.
- Collaboration: Work closely with cross-functional Agile product engineering teams to understand business needs and provide data-driven insights.
- Agile Methodology: Participate in Agile ceremonies, such as sprint planning, backlog grooming, and sprint reviews.
- Reporting: Create reports and dashboards to communicate key findings and regular monitoring of key performance indicators.
- Problem Solving: Address data-related issues and propose solutions to improve data quality and efficiency.
You will be successful if you have
- A Bachelor's degree in a relevant field (e.g., computer science, statistics, mathematics).
- Strong analytical and problem-solving skills.
- Proficiency in programming languages such as SQL or Python.
- Knowledge of data warehousing concepts.
- Experience with data visualization tools (e.g., Power BI, Qlik Sense).
- Excellent verbal and written communication skills.
- Ability to present findings to both technical and non-technical audiences.
- Strong attention to detail and commitment to data accuracy.
- Ability to work collaboratively in an Agile product engineering team.
- Familiarity with the insurance industry is a plus.
You will thrive if you are
- Enthusiastic about exploring and interpreting data to uncover insights.
- Proactive and able to take initiative in a fast-paced Agile environment.
- Detail-oriented and committed to delivering high-quality, accurate results.
- Adaptable and open to learning new tools and technologies.
- A strong communicator and team player.
To apply, please send your resume/ email to: [email protected]