Job Summary

We are looking for a Data Analyst with a strong foundation in mathematics, statistics, and analytical modeling to support our 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 has experience working in a fast-paced technology environment.

Key Responsibilities

• 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

• Apply mathematical and statistical techniques such as: 

  • Regression modeling 

  • Time series forecasting 

  • Probability modeling 

  • 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 (e.g., recommendation systems, ranking models) 

Job Requirements

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 Qualification

• Experience working with product analytics or digital platforms 

• Familiarity with machine learning concepts 

• Experience with big data tools (e.g., Spark, Hadoop) 

• Background in scientific computing or applied mathematics 

Technical Skills

• Strong proficiency in: 

  • Python (Pandas, NumPy, SciPy) 

  • SQL (advanced queries, data modeling) 

• Experience with: 

  • Data visualization tools (Power BI, Tableau, Looker) 

  • Experimentation tools and frameworks 

• Understanding of: 

  • Data pipelines and ETL processes  

  • APIs and data integration 

• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus 

Core Competence

• Strong analytical and problem-solving skills 

• Ability to work with complex and large datasets 

• Attention to detail and accuracy 

• Strong communication skills (technical and non-technical) 

• 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 (e.g., engagement, 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 

How To Apply

Application Instructions

Interested candidates should submit:

Updated Resume

Brief Cover Letter outlining relevant experience and suitability for this role
 Interested And Qualified Applicants can apply through this email haymanotgebre12@gmail.com mention the position title on the subject line.

Job Requirements Bachelor’s degree in Mathematics ,Statistics ,Physics ,Computer Science  and data Science or related field  Duties and Responsibilities: - Data modeling, designing, and supporting data storage in the data mart -Perform various operations on data including validation, cleansing, and transformations to generate useful information How to Apply Interested applicants can submit their CV and relevant documents through the provided e-mail