- Experience
- Up to 5 yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- In office
- Education
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
- Eligibility
- Candidates with a background in data analysis, business intelligence, or academic research and a bachelor’s degree in a quantitative field may apply.
- Resume
- Required to apply
Where you'll work
Job description
About the role
MaximaTek is looking for a meticulous Data Analyst who can oversee the collection, processing, and review of complex datasets. This position connects raw information with meaningful business insights, with a strong focus on accuracy, secure handling of data, and disciplined analytical practices.
What you will do
- Manage day-to-day data work, including extracting, cleansing, and transforming data so it is ready for analysis and reporting.
- Keep complete records of data sources and ensure sensitive information is handled in line with privacy regulations such as GDPR and CCPA, as well as internal standard operating procedures.
- Check database records carefully to preserve data quality, consistency, and integrity across the full project lifecycle.
- Track key performance indicators and quickly flag unusual patterns, major changes, or important trends to stakeholders and leadership.
- Prepare and maintain technical documentation, and support internal audits related to data governance and reporting compliance.
- Act as the main contact for department leaders, converting business needs into clear technical data requirements.
Requirements
The role requires a bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline. Candidates should have 0 to 5 years of experience in data analysis, business intelligence, or academic research settings.
- Strong SQL skills for querying and managing databases.
- Hands-on experience with data visualization platforms such as Tableau, Power BI, or Looker.
- Working knowledge of Python or R for statistical analysis.
- Excellent technical writing and documentation ability.
- Preference for candidates with data analytics certifications such as Google Data Analytics or Microsoft Certified: Data Analyst Associate.
- Exposure to cloud platforms like AWS, Azure, or Google Cloud is an advantage.
- Understanding of automated reporting and basic machine learning concepts is preferred.
What we offer
- Targeted outreach to a hiring network across the Tech, FinTech, and Life Sciences sectors.
- Resume refinement focused on showcasing analytical strengths and tool expertise.
- Interview preparation support covering behavioral questions and technical SQL/Excel case studies.
Application note
Interested candidates should send an updated resume by email to [email protected].