Senior Data Analyst
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Key skills for this role
About the Role
Deriv is hiring a Senior Data Analyst to transform complex datasets into actionable insights, shape products, and drive business growth. The role requires 5+ years of experience, strong SQL and Python/R skills, and expertise in data modeling and visualization tools like Tableau.
Key Skills for This Role
Responsibilities
- Utilize data insights to optimize product features, improve customer experience, and enable operational process automation
- Develop comprehensive data models catering for business analytics requirements while considering data privacy, accessibility, and accuracy
- Collaborate with data engineers and BI/Reporting Leads to fulfill business requirements
- Create dashboards and alerts and present them effectively to stakeholders
- Standardize business terminologies across the company to enable well defined data definitions for KPIs and metrics
- Continuously evaluate team processes and data solutions to achieve better efficiency
- Mentor and guide junior team members to uphold best data practices
Requirements
- 5+ years of experience in data analytics, with a solid background in statistics, mathematics, or engineering
- In depth technical proficiency with SQL (preferably PostgreSQL), programming languages (Python/R), and ETL/ELT frameworks
- Extensive experience with data modeling, data aggregation best practices, and designing scalable analytics solutions
- Proven expertise in data visualization tools (Tableau, Google Looker Studio, etc.) and creating impactful dashboards
- Excellent communication and presentation skills with fluency in spoken and written English
- Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) is highly valued
Full Job Posting
Job Description
- At Deriv, data isn't just numbers—it's the foundation of every strategic decision we make. As a Senior Data Analyst, you'll transform complex datasets into actionable insights that shape our products, optimize customer experiences, and drive business growth.
- You'll be at the intersection of technology and strategy, working with stakeholders across the organization to solve critical business challenges through data driven techniques.
- You'll lead the charge in cultivating a data driven culture, mentoring junior analysts while collaborating with data engineers and BI teams to deliver innovative solutions.
Your challenges
- Utilize data insights to achieve measurable outcomes: Optimize product features, improve customer experience, and enable operational process automation through data driven decision making.
- Develop comprehensive data models: Cater for business analytics requirements while carefully considering data privacy, data accessibility, and data accuracy.
- Collaborate across data teams: Work collaboratively with data engineers and BI/Reporting Leads to fulfill business requirements ranging from data quality and data management to business intelligence and reporting.
- Provide actionable reporting solutions: Create dashboards and alerts, and present them effectively to stakeholders to enable informed decision making.
- Standardize business terminologies: Align and standardize business terminologies across the company to enable well defined data definitions for KPIs and metrics.
- Continuously optimize team processes: Constantly evaluate team processes and data solutions to achieve better efficiency aligning to company goals.
- Mentor and guide junior team members: Play the role of mentor for junior members of the team to uphold best data practices and foster a culture of analytical excellence.
Requirements
- Bring 5+ years of experience in data analytics, with a solid background in statistics, mathematics, or engineering
- Possess in depth technical proficiency with SQL (preferably PostgreSQL), programming languages (Python/R), and ETL/ELT frameworks for data cleansing, wrangling, and ingestion
- Demonstrate extensive experience with data modeling, data aggregation best practices, and designing scalable analytics solutions
- Have proven expertise in data visualization tools (Tableau, Google Looker Studio, etc.) and creating impactful dashboards that drive business decisions
- Excel at transforming complex data into clear insights and presenting them effectively to both technical and non technical stakeholders
- Demonstrate strong stakeholder management skills, with the ability to ask the right questions, understand business needs, and align analytics solutions to strategic objectives
- Proactively identify problems and solutions while managing multiple competing priorities and projects in a fast paced, dynamic environment
- Possess excellent communication and presentation skills with fluency in spoken and written English
- Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) and modern cloud based analytics infrastructure is highly valued
- Knowledge of financial products, digital marketing platforms, data science methodologies, and proficiency with AI/low code data tools are strong advantages
Company culture
- Join a diverse, inclusive workplace that values innovation and cross cultural collaboration
- Enjoy competitive compensation, professional development opportunities
- Be part of a company recognised for excellence and committed to career growth opportunities
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