Company Description
EsyConnect is a prominent and innovative job portal that has established itself as a leading platform for connecting job seekers with employers. With a user-friendly interface and a comprehensive range of features, EsyConnect offers a seamless and efficient job search experience for individuals looking for employment opportunities and companies seeking talented professionals.
The primary objective of EsyConnect is to bridge the gap between job seekers and employers by providing a centralized platform where both parties can connect, communicate, and collaborate effectively. The platform boasts a vast database of job listings across various industries and sectors, catering to a wide range of job preferences and qualifications.
Job Description
We are seeking a detail-oriented and analytical Data Analyst to join our team in Navi Mumbai, India. As a Data Analyst, you will play a crucial role in transforming raw data into actionable insights that drive business decisions. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement across various business areas.
- Collect, process, and analyze large datasets from multiple sources
- Develop and maintain dashboards and reports using data visualization tools
- Conduct statistical analyses to identify trends and patterns in complex datasets
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
- Develop and implement data quality controls to ensure accuracy and reliability of analyses
- Create and maintain documentation of data processes and methodologies
- Assist in the development of predictive models and machine learning algorithms
- Present findings and recommendations to both technical and non-technical audiences
- Stay up-to-date with industry trends and emerging technologies in data analysis
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- 2-5 years of experience in data analysis or related field
- Proficiency in SQL and either Python or R for data manipulation and analysis
- Strong statistical analysis skills and experience with advanced Excel functions
- Experience with data visualization tools such as Tableau or Power BI
- Excellent problem-solving abilities and attention to detail
- Proven track record of cleaning, preprocessing, and analyzing large datasets
- Understanding of business intelligence and data warehousing concepts
- Strong communication skills with the ability to present complex findings to diverse audiences
- Experience with machine learning algorithms is preferred
- Familiarity with industry-specific data trends and metrics is a plus
- Data analysis certifications (e.g., Google Data Analytics, IBM Data Analyst) are desirable
Additional Information
All your information will be kept confidential according to EEO guidelines.