Data Analyst

About the Job

We are looking for a Data Analyst with a strong foundation in mathematics, statistics, and analytical modeling to support technology-driven products and platforms.

The role focuses on transforming complex data into actionable insights that improve product performance, user experience, and business outcomes.

The ideal candidate combines strong quantitative skills with technical expertise in data tools and experience working in a fast-paced technology environment.

Key Responsibilities

The position focuses on data analysis, reporting, and supporting product and business decisions.

• Analyze product, user, and operational data to generate actionable insights
• Design and maintain dashboards to track key product and business metrics
• Perform data validation, cleaning, and transformation from multiple systems
• Work closely with product managers, engineers, and business teams
• Conduct A/B testing and experiments to improve product features
• Translate data findings into clear recommendations for stakeholders
• Monitor KPIs and identify trends, anomalies, and opportunities
• Support decision-making with data-driven insights

Advanced Analytical Responsibilities

The role includes applying advanced mathematical and statistical techniques.

• Apply regression modeling, time series forecasting, probability modeling, and hypothesis testing
• Build predictive models for user behavior, churn, and performance
• Use concepts from linear algebra, calculus, and optimization in analysis
• Analyze large-scale datasets to identify patterns and system behavior
• Support algorithm performance analysis such as recommendation systems and ranking models

Required Qualifications

• Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, or related field
• 2–5 years of experience in data analytics, preferably in a tech company

Preferred Qualifications

• Experience working with product analytics or digital platforms
• Familiarity with machine learning concepts
• Experience with big data tools such as Spark or Hadoop
• Background in scientific computing or applied mathematics

Technical Skills

• Strong proficiency in Python (Pandas, NumPy, SciPy)
• Advanced SQL skills including queries and data modeling
• Experience with data visualization tools such as Power BI, Tableau, or Looker
• Experience with experimentation tools and frameworks
• Understanding of data pipelines and ETL processes
• Knowledge of APIs and data integration
• Familiarity with cloud platforms such as AWS, Azure, or GCP

Core Competencies

• Strong analytical and problem-solving skills
• Ability to work with complex and large datasets
• High attention to detail and accuracy
• Strong communication skills for both technical and non-technical audiences
• Ability to work in agile and fast-paced environments

Key Performance Indicators (KPIs)

• Accuracy and quality of data analysis
• Impact of insights on product and business performance
• Timeliness of reporting and dashboard delivery
• Improvement in product metrics such as engagement and retention
• Effectiveness of experiments and recommendations

Working Environment

• Agile, product-driven technology environment
• Cross-functional collaboration with engineering and product teams
• Continuous learning and innovation culture

Skills Required:

• Computer / Software / It / Data