Data Analyst / Data Scientist
- Category: Database Administrator
- Location: Nagpur, Maharashtra
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 25K to 34K
- Published on: 2025/09/27
Job role:
As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales, and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.
Responsibilities:
• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs
Requirements:
• Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science).
• The ability to program in any high-level language is required. Familiarity with R and statistical packages is preferred.
• Proven problem-solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Experience with text analytics, data mining, and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
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