As a Data Analyst, you will be responsible for designing, developing, and delivering human and machine data experiences using advanced analytics and visualization tools. This role focuses on enabling data-driven insights, supporting decision-making across teams, and ensuring that both human users and machine systems can effectively consume, interpret, and act on data.
You will act as a subject matter expert (SME), leading analytical initiatives, guiding the team, and collaborating with multiple stakeholders to uncover trends, patterns, and actionable insights. The role requires strong leadership, ownership of analytical decisions, and the ability to influence outcomes across multiple teams.
Key Responsibilities
Data Analysis & Insights
- Perform in-depth data analysis to identify core issues, trends, anomalies, and performance gaps
- Translate complex data findings into actionable insights for business and technical stakeholders
- Enable data discovery for both human users and machine-driven processes
- Analyze expected vs. actual outcomes to support continuous improvement
Data Visualization & Reporting
- Design and develop advanced data visualizations and dashboards to present complex insights clearly
- Ensure visualizations are intuitive, accurate, and tailored to different audiences
- Establish visualization standards and best practices across the team
Data Architecture & Lineage
- Design and review database schemas to support scalable analytics solutions
- Define and maintain data lineage to ensure transparency, traceability, and trust in data
- Work closely with engineering teams to ensure analytics-ready data structures
Collaboration & Stakeholder Management
- Collaborate with cross-functional teams (Engineering, Product, Business, Compliance) to understand data needs
- Provide analytics-driven solutions to problems across multiple teams
- Contribute to key strategic and technical decisions with data-backed recommendations
Data Governance & Quality
- Design and implement data governance frameworks to ensure data integrity, accuracy, and compliance
- Define data quality checks, standards, and controls
- Ensure adherence to organizational and regulatory data policies
Leadership & Mentorship
- Act as a subject matter expert in data analytics and visualization
- Lead, guide, and mentor junior analysts in best practices
- Own team-level analytical decisions and ensure high-quality deliverables
Mandatory / Required Skills
- Expert proficiency in Data Visualization (dashboards, storytelling with data, advanced charting techniques)
- Expert proficiency in Data Analytics (trend analysis, pattern recognition, insight generation)
- Strong SQL skills for data querying, analysis, and validation
- Hands-on experience with analytics and visualization tools (e.g., Power BI, Tableau, Looker, or equivalent)
- Strong understanding of data modeling and analytical thinking
- Excellent stakeholder communication skills with the ability to explain complex insights clearly
- Proven experience leading or mentoring a data analytics team
