Data Analyst

Responsibilities

• Technical Implementation & Development
  • Produce advanced data analysis using SQL, Python, PowerBI, and Metabase following best practices
  • Independently plan and develop data product features with minimal direction
  • Quantify end-to-end customer journey using advanced analytical techniques to increase conversion
  • Analyze user behavior patterns, conversion funnels, and customer segmentation
• Dashboard & Report Development
  • Define complex business problems from technical and analytical perspectives
  • Translate business requirements into comprehensive BI solutions (interactive dashboards, automated reports)
  • Build and maintain automated reporting solutions delivering consistent, timely insights
  • Develop analytical frameworks and methodologies independently
• Data Communication & Presentation
  • Communicate and storytell results to stakeholders effectively, driving understanding and action
  • Create proactive business insights and share actionable recommendations influencing strategy
  • Build strong relationships with stakeholders across different business units
• GenAI & ML Experience
  • Proven expertise in Machine Learning & ML-Ops is a big plus
  • Experience working with LLM implementation and quality management is strongly preferred
  • AWS Bedrock hands-on experience and/or similar experience is a major plus
• Project Coordination & Delivery
  • Act as key point of contact for specific markets organizing data-related project pipelines
  • Coordinate with data engineering, development, and product teams defining data requirements
  • Proactively ensure and govern data quality across datasets
  • Troubleshoot complex data quality issues, identifying root causes and scalable solutions
• Data Quality Management & Monitoring
  • Monitor data quality metrics and alert senior team members to potential issues requiring investigation
  • Contribute to data quality improvement initiatives by identifying patterns and suggesting process
    enhancements
  • Escalate critical data issues to appropriate team members while providing detailed analysis of impact and
    potential solutions

Profile

• At least a Bachelor's degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science,Economics) or a closely related field. A Master's degree is a plus.
• Demonstrated interest in continuous learning through coursework, certifications, or self-directed study inanalytics and data science
• At least 3+ years of progressive experience as a Data Analyst or in a similar quantitative, analytical role,demonstrating increasing responsibility and complexity of projects.
• Mandatory Hard Skills at expert level:
  • SQL (Structured Query Language)
  • Microsoft Excel
  • BI Tools (e.g., PowerBI, Metabase)
  • Python (for data analysis)
  • Data Cleaning and Preparation
  • Exploratory Data Analysis (EDA)
• Secondary Hard Skills at medium or better level:
  • Statistical Concepts
  • Version Control (e.g., Git/GitHub/GitLab)
  • AI/ML Application (Analytical Focus)
  • Data Warehousing/Cloud Data Platforms
  • API Integration for Data
  • Marketing Analytics Tools (Google Analytics, Whatsapp, etc.)
• Soft Skills:
  • Able to define tasks and workstreams and delegate to team members without supervision
  • Ability to communicate with end-users to understand their requirements and translate to tasks
  • Present analytical findings clearly to both technical and non-technical audiences
  • Take ownership of assigned deliverables and follow through on commitments to stakeholders

Additional Information

The Data Analyst will be a critical part of our team, responsible for transforming complex data into actionable insights that drive business decisions. The role is expected to leverage analytical expertise to design and produce comprehensive dashboards and reports, identify data quality issues proactively, and communicate findings clearly to diverse stakeholders. This role requires a strong blend of technical skills, business acumen, and an ability to translate data into compelling narratives.

This position offers growth opportunities in:

• Developing expertise in advanced analytics techniques and business intelligence tools
• Building strong relationships with stakeholders across different business units
• Contributing to data-driven decision making that impacts commercial outcomes
• Expanding technical skills in emerging areas like AI/ML applications and automation

Contact details

Apply no later than

.