Head of Analytics

About Us

Analytics Head

Roles and Responsibilities

• Strategic Data Leadership

  : Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization.

• Business Intelligence & Insights

  : Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media.

• Collaboration with Leadership

  : Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making.

• Data Architecture & Governance

  : Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise.

• Analytics Framework Development

  : Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure).

• Innovation & Thought Leadership

  : Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage.

• Cross-functional Enablement

  : Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards.

• Performance Monitoring

  : Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment.

Requirements

• Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role.
• Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.).
• Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools.
• Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions.
• Strong understanding of data governance, security, and compliance standards.
• Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Preferred Qualifications

• Prior experience in an investment firm, financial services, or high-growth startup environment.
• Familiarity with business operations across finance, product, and marketing.
• Experience with open-source data science libraries and deployment of ML models into production.
• Strong project management capabilities and familiarity with Agile methodologies.