Data Science and Analysis

Overview

We are looking for a skilled Data Scientist / Data Analyst to join our team. In this role, you will be responsible for analyzing complex data sets, uncovering hidden patterns, and providing actionable insights to help our business make smarter decisions.

The ideal candidate should have a strong passion for numbers, statistical analysis, and predictive modeling, along with the ability to translate data into clear, business-friendly recommendations.

Responsible For

• • • Data Extraction & Management: Collect, clean, and analyze large datasets from multiple sources to ensure data integrity and accuracy.

    • Trend & Pattern Analysis: Perform deep-dive statistical analysis to identify trends, hidden patterns, and key performance insights.

    • Dashboard & Reporting: Design and maintain interactive data visualizations, reports, and dashboards for stakeholders and leadership.

    • Predictive Modeling: Develop and optimize machine learning models and algorithms to predict business outcomes and future trends.

    • Cross-functional Collaboration: Partner with engineering, marketing, and product teams to translate business problems into data-driven solutions.

Other Benefits

• Competitive Salary: Attractive compensation package matching industry standards based on your expertise.

• Health & Wellness: Comprehensive medical insurance coverage for you and your family.

• Professional Growth: Sponsorship for technical certifications, workshops, and continuous learning opportunities.

• Work Flexibility: Flexible working hours and hybrid/remote work options (where applicable).

• Work Culture: A collaborative, innovative, and inclusive environment with regular team-building activities.

Specific Skills

• Programming Languages: Advanced proficiency in Python or R for data manipulation and analysis.

• Database Management: Strong command over SQL to write complex queries and extract data.

• Data Visualization: Hands-on experience with tools like Tableau, Power BI, or advanced MS Excel.

• Statistical & Mathematical Knowledge: Solid understanding of statistics, probability, data mining, and machine learning concepts.

• Soft Skills: Excellent critical thinking, analytical problem-solving, and the ability to explain technical insights to non-technical teams.

Educational Requirements

• • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a highly quantitative field.

  • Relevant professional certifications in Data Science, Business Analytics, or Machine Learning (e.g., from AWS, Google, or Coursera) will be an added advantage.