We are looking for a talented Data Analyst to join our team and play a critical role in transforming raw data into actionable insights. As a Data Analyst, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organisation.

Qualifications & Skills

Bachelor's degree in Computer Science, Information Systems, or a related field
(Master's degree is a plus)
3-5 years’ experience in data analytics, business intelligence, data engineering or in a startup or high-growth environment
Expert proficiency in MongoDB, SQL and experience with spreadsheet tools
Strong knowledge of ETL tools and processes
Proficiency in data modelling and database design
Familiarity with data visualisation tools, such as PowerBI, Qlik, Tableau, or similar
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus

Responsibilities

We are looking for a talented Data Analyst to join our team and play a critical role in transforming raw data into actionable insights. As a Data Analyst, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organisation.

Qualifications & Skills

Bachelor's degree in Computer Science, Information Systems, or a related field
(Master's degree is a plus)
3-5 years’ experience in data analytics, business intelligence, data engineering or in a startup or high-growth environment
Expert proficiency in MongoDB, SQL and experience with spreadsheet tools
Strong knowledge of ETL tools and processes
Proficiency in data modelling and database design
Familiarity with data visualisation tools, such as PowerBI, Qlik, Tableau, or similar
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus

Design, develop, and maintain data pipelines to collect, process, and organise data from various sources
Build information systems and use analytical techniques that enable management to monitor and forecast trends while evaluating risks
Measure the effectiveness of commercial programs and pricing and suggest opportunities
Create, optimise and automate ETL processes to ensure the reliability, accuracy, and timeliness of data
Collaborate with cross-functional teams to understand data requirements and design data models to support business needs
Develop, implement, and maintain reporting dashboards using visualisation tools such as PowerBI, Qlik, Tableau, or others
Automate reporting emails to deliver key metrics and insights to stakeholders on a regular basis
Write complex SQLand MongoDB queries and scripts to extract, transform, and load data efficiently
Perform data quality assessments and implement data cleansing and validation procedures
Stay up-to-date with industry best practices and emerging technologies in data engineering and analytics

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