About Company
Ready to launch your career in data? Career.zycto is a dynamic, forward-thinking organization dedicated to innovation and growth in the tech sector. We believe in nurturing raw talent and providing a collaborative environment where new ideas flourish. Joining us means becoming part of a team that values learning, embraces challenges, and celebrates collective success. For an entry-level Data Analytics Aide, we offer unparalleled mentorship and hands-on exposure to real-world data projects, making us the perfect launchpad for your professional journey. Discover your potential and contribute to impactful insights from day one.
Advertisement
Job Description
Are you a highly motivated individual with a passion for data and a desire to kickstart your career in analytics? Career.zycto is seeking a driven and enthusiastic Data Analytics Aide to join our growing team in Supa, Quelimane. This entry-level position is ideal for recent graduates or individuals looking to transition into the data analytics field, offering a unique opportunity to learn from experienced professionals and contribute to meaningful projects.
As a Data Analytics Aide, you will play a crucial role in supporting our analytics initiatives by assisting with data collection, cleaning, organization, and basic analysis. This is a fantastic chance to gain practical experience with various data tools and methodologies, understand business processes, and translate raw data into actionable insights. We are looking for someone with a sharp mind, meticulous attention to detail, and an eagerness to learn and grow within a supportive team environment. Your contributions will directly help us make informed decisions, optimize operations, and identify new opportunities. If you’re ready to dive deep into the world of data and build a strong foundation for a thriving career, we encourage you to apply.
Key Responsibilities
- Assist in the collection, cleaning, and preparation of data from various sources.
- Support the data analytics team in organizing and maintaining data sets for analysis.
- Perform basic data analysis tasks under supervision, including descriptive statistics and trend identification.
- Generate routine reports and visualizations to present findings in an understandable format.
- Collaborate with team members to understand project requirements and data needs.
- Document data processes, methodologies, and findings for future reference.
- Contribute to quality assurance efforts by verifying data accuracy and consistency.
- Continuously learn new data tools, techniques, and industry best practices.
Required Skills
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel (pivot tables, VLOOKUP, basic functions).
- Excellent attention to detail and accuracy.
- Ability to work independently and as part of a team.
- Effective written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and processes.
- Basic understanding of data concepts and principles.
Preferred Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline (or equivalent practical experience).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Exposure to database queries (SQL) or programming languages (e.g., Python, R) is advantageous.
- Previous internship or project experience involving data handling or analysis.
Perks & Benefits
- Comprehensive health and wellness benefits.
- Opportunities for professional development and training in data analytics tools.
- Mentorship program with experienced data professionals.
- Collaborative and inclusive work environment.
- Paid time off and public holidays.
- Employee recognition programs.
- Modern office facilities in Supa, Quelimane.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their interest in data analytics and how their skills align with this entry-level role. Please ensure your application highlights any relevant coursework, projects, or experiences.
Advertisement
