4 Statistical Analysis Jobs in Kolkata | Statistical Analysis Job openings in Kolkata

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

We are seeking a Senior Data Science & ML Associate with 4+ years of applied ML experience to build and ship models end-to-end from data prep and feature engineering to training, evaluation, and deployment driving measurable business impact.

Key Responsibilities

• Build, train, and evaluate ML and deep-learning models

• Engineer features and prepare data at scale

• Deploy models and monitor production performance

• Partner with stakeholders to frame problems and metrics

• Communicate results and drive decisions

• Iterate on models from business feedback

Mandatory Skills

• 4+ years applied machine learning

• Strong Python (Pandas, NumPy, scikit-learn)

• Classical ML and deep learning (TensorFlow/PyTorch)

• Solid statistics and experiment design

• SQL and data wrangling at scale

• Model deployment / MLOps exposure

Nice to Have: NLP or computer vision; cloud ML (SageMaker, Azure ML)

1. Develop plans and strategies for developing business and achieving the company's sales goals
2. Manage operations and resources to deliver profitable growth
3. Define sales processes that drive desired sales outcomes and identify improvements where and when required
4. Operate the assigned sales territory/market segment to meet sales & service requirements and expectations within the budgeted norms
5. To establish, develop and maintain business relationships with current customers and prospective customers in the assigned territory/market segment to generate new business for the organization's products/services
6. To plan and oversee the execution of local area promotional activities in both sales and service
7. To devise strategies for effective and real-time market intelligence to stay ahead of competition
8. To come out with innovative and cost-effective marketing ideas to stay always on top
9. Provide detailed and accurate sales forecasting
10. Compile information and data related to customer and prospect interactions
11. Monitor customer, market and competitor activity and provide feedback to company leadership team and other company functions
12. Oversee the assigned sales department to ensure proper maintenance of all sales systems and functions
13. To strictly adhere to systems, procedures, credit policies, and discount structures laid by the company from time to time
14. Ensure proper sales documentation
15. Create a culture of success and ongoing business and goal achievement
16. Manage the use of budgets
17. To keep the outstanding amount in check
18. Define optimal sales force structure
19. Manage customer expectations and contribute to a high level of customer satisfaction
20. Manage key customer relationships and participate in closing strategic opportunities
21. Travel- for in-person meetings with customers and partners and to develop key relationships