The Role
Gather, clean, transform, and model data to produce dashboards, alerts, and insights. Identify data gaps and trends, support data standards, and present analysis to stakeholders to inform business decisions.
Summary Generated by Built In
As a Data Analyst Intern at Deriv, you will gather, process, transform, and organize data into actionable insights. Your methodical and logical approach will be crucial to maintaining data integrity. You will identify data trends and inconsistencies that can impact our business goals. You will solve complex business challenges by using data-driven techniques.
Key Responsibilities:
- Fulfiil data and business related requirements by understanding the business domain and converting them to data driven solutions, further improving customer experience, optimizing product or enabling process automation.
- Develop data models to cater for business analytics requirements while considering data privacy, data accessibility and data accuracy.
- Identify and resolve gaps in the data collection and analysis processes.
- Provide and maintain the reporting and analysis solutions in the form of dashboards or alerts, and present them to stakeholders.
- Support standardised business terminologies and definitions across the company.
Requirements:
- Knowledge on reporting packages, SQL, programming (Python/R), and ETL/ELT frameworks for data wrangling purposes
- Knowledge on data modeling and data aggregation best practices.
- Experience developing and building reports and dashboards with data visualisation tools such as Tableau, Google Looker Studio, etc.
- Analytical skills with the ability to transform data into optimal business decisions
- Solid background in statistics, mathematics, or engineering
- Strong communication and presentation skills
- Fluency in spoken and written English
Whats good to have:
- Experience with Google Cloud Platform (GCP) such as Google BigQuery, Scheduled queries, Google Cloud storage and functions
- Quality experience in relational SQL, preferably with PostgreSQL
- Data Science background.
- Understanding the marketing domain of financial products and services.
- Proficiency in using AI and low code data tools to create data solutions.
Requirements
Only applicants that apply via this link (not the APPLY NOW button) will be considered for further review and selection.
If you experience any technical issues with Superset or have any related queries, please feel free to reach out to us at [email protected]
Skills Required
- Knowledge of SQL and reporting packages
- Programming experience in Python or R
- Familiarity with ETL/ELT frameworks for data wrangling
- Knowledge of data modeling and data aggregation best practices
- Experience building reports and dashboards with tools such as Tableau or Google Looker Studio
- Analytical skills to transform data into business decisions
- Solid background in statistics, mathematics, or engineering
- Strong communication and presentation skills
- Fluency in spoken and written English
- Experience with Google Cloud Platform (BigQuery, scheduled queries, Cloud Storage, Cloud Functions)
- Quality experience in relational SQL, preferably PostgreSQL
- Data Science background
- Understanding of marketing domain for financial products and services
- Proficiency using AI and low-code data tools to create data solutions
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
MDxHealth is a commercial-stage precision diagnostics company that provides actionable molecular diagnostic information to personalize the diagnosis and treatment of cancer and other urologic diseases.
