Sparkmetrics Solutions is excited to announce a new job opening for a Data Analytics Analyst. This is a remote job. The role is crucial in analyzing complex data sets, providing actionable insights, and supporting the development of data-driven strategies.
Key Job Highlights
| Position | Data Analytics Analyst |
|---|---|
| Type | Full-time, Remote job |
| Key Responsibilities | Analyzing data, creating visualizations, statistical modeling, data-driven strategy support |
| Qualifications | Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field |
| Required Skills | Data analysis, SQL, Statistical modeling, Data visualization, Python |
| Compensation | ₹400,000/yr – ₹500,000/yr (Exact compensation may vary based on skills, experience, and location) |
| Eligibility | Fresher Graduate |
About the Role
The Data Analytics Analyst at Sparkmetrics Solutions will:
- Collect, clean, and preprocess large datasets for analysis
- Conduct exploratory data analysis to identify trends and patterns
- Apply statistical modeling and hypothesis testing to extract meaningful insights
- Create data visualizations, dashboards, and reports to present findings
- Collaborate with cross-functional teams to understand business objectives and data requirements
- Develop predictive models and machine learning algorithms to drive business solutions
- Conduct in-depth root cause analysis to address business challenges
- Identify opportunities for process optimization and performance improvement
- Support the implementation and maintenance of data analytics tools and platforms
- Stay updated with the latest industry trends and technologies in data analytics
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- Strong analytical and problem-solving skills
- Proficiency in SQL for data manipulation and extraction
- Experience with statistical modeling and hypothesis testing
- Familiarity with data visualization tools like Tableau, Power BI, or similar
- Knowledge of programming languages such as Python, R, or Java
- Understanding of machine learning algorithms and techniques
- Ability to communicate complex findings effectively to non-technical stakeholders
- Strong attention to detail and accuracy in data analysis
- Experience with databases and data warehousing concepts