Mid-Level Data Analytics Associate
Insight Data Solutions
Join Insight Data Solutions in Kochi as a Mid-Level Data Analytics Associate, where your analytical skills will empower data-driven decision-making. In this hybrid role, you’ll be working closely with cross-functional teams to gather insights and refine business strategies. Kochi offers a vibrant work environment that fosters professional growth and collaboration. Your contributions will help drive the company’s success and improve operational efficiency across various departments.
At a glance
- Role
- Mid-Level Data Analytics Associate
- Company
- Insight Data Solutions
- Location
- Kochi, Kerala (Hybrid)
- Type
- Full-time
- Experience
- Mid-level
- Salary
- ₹35,000 – ₹55,000 / month
- Openings
- 2
- Apply by
- August 16, 2026
Responsibilities
- Analyze complex data sets to identify trends and insights
- Collaborate with stakeholders to define analytical requirements
- Create dashboards and reports using visualization tools
- Assist in developing data-driven strategies to enhance performance
Requirements
- Bachelor's degree in Data Science, Statistics, or related field
- 2-4 years of experience in data analytics
- Proficiency in SQL and data visualization tools like Tableau
- Strong analytical and problem-solving skills
Benefits
- Flexible work hours with hybrid model
- Health insurance and wellness programs
- Professional development opportunities
Skills
- Data Visualization
- Statistical Analysis
- SQL
- Python
- Business Intelligence
- Data Mining
- Education
- Bachelor's degree
- Job function
- Data & Analytics
Frequently asked questions
What does a Mid-Level Data Analytics Associate do?
This role involves analyzing data trends, creating reports, and collaborating with teams to derive actionable insights.
What qualifications are needed for this position?
A bachelor's degree in Data Science or Statistics and 2-4 years of relevant experience are required.
Is the work environment hybrid?
Yes, this position offers a hybrid work model, allowing flexibility in where you work.