Job Summary

We are looking for a passionate and highly skilled Software Programmer specializing in Data Analytics to join our dynamic team. As a Software Programmer – Data Analytics, you will play a key role in developing, implementing, and maintaining software solutions to analyze complex data and derive actionable insights. You will collaborate with various teams to build innovative data analytics tools and solutions, contributing to the growth and efficiency of the business.

Key Responsibilities

• Design, develop, and implement data analytics software solutions using the latest technologies.
• Analyze complex datasets to identify trends, patterns, and opportunities.
• Collaborate with data scientists, analysts, and other stakeholders to build effective analytics tools.
• Maintain and update data analytics systems to ensure efficiency and accuracy.
• Write clean, scalable, and efficient code following industry best practices.
• Perform thorough testing and debugging of software applications.
• Document and communicate software development processes, designs, and architecture.
• Provide support in the deployment and maintenance of software applications.
• Ensure compliance with data privacy regulations and company standards.
• Continuously stay up-to-date with new tools, technologies, and trends in data analytics.

Required Skills and Qualifications

• Bachelors degree in Computer Science, Software Engineering, or a related field.
• Proficiency in programming languages such as Python, Java, C++, or similar.
• Hands-on experience with data analytics frameworks and libraries like Pandas, NumPy, TensorFlow, or similar.
• Strong understanding of database management systems (SQL, NoSQL).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of machine learning and statistical analysis techniques is a plus.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) is a bonus.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work effectively within a team.
• Ability to manage multiple tasks and work in a fast-paced environment.

Experience

• 2+ years of experience in software development, preferably in the data analytics field.
• Proven experience with data processing, visualization, and analysis.
• Experience working with large datasets and developing algorithms for data extraction and manipulation.
• Knowledge of data analytics best practices and industry standards.

Working Hours

• Full-time position.
• Standard working hours: Monday to Friday, 9:00 AM to 6:00 PM.
• Flexibility in working hours may be required for collaboration across different time zones.

Knowledge, Skills, and Abilities

• Strong programming and analytical thinking skills.
• Knowledge of data structures, algorithms, and software engineering principles.
• Ability to understand and process complex data and translate them into actionable insights.
• High proficiency in working with software development and data analytics tools.
• Ability to work collaboratively in a team-oriented environment.
• Strong attention to detail, with an ability to manage tasks efficiently.
• Ability to think critically and develop creative solutions to technical challenges.

Benefits

• Competitive salary and performance-based bonuses.
• Health, dental, and vision insurance.
• Flexible working hours and remote work opportunities.
• Paid time off (vacation, sick leave, holidays).
• Professional development and training opportunities.
• A dynamic and inclusive company culture.
• Employee wellness programs and team-building activities.

Why Join

• Be part of a growing company that values innovation and professional development.
• Work with cutting-edge technologies in data analytics and software development.
• Enjoy a collaborative, supportive, and flexible work environment.
• Contribute directly to the companys success by enhancing data-driven decision-making capabilities.
• Competitive compensation and benefits packages.

How to Apply

To apply, please submit your updated resume, along with a cover letter highlighting your experience in data analytics and software programming. Include any relevant portfolio or project samples that demonstrate your skills in this field. Applications can be submitted through our website or via email to us.