Job Overview
We are seeking a skilled and analytical Data Analyst to help transform data into actionable business insights. In this role, you will work closely with business and technical teams to collect, analyze, and visualize data, enabling informed decision-making across the organization. This position is ideal for professionals who enjoy working with data, identifying patterns, and communicating insights effectively.
Additional Information
| Company | IntersoftKK (India) Private Limited |
| Location | Ahmedabad, Bengaluru, Mumbai |
| Experience | No Required |
| Salary | ₹ 4,20,000 – ₹ 6,20,000 /Year |
| Working Days | 5 Days |
| Job Type | In Office |
| Qualification | Bachelor’s degree |
| Skill | Python (Pandas, NumPy), R, or SPSS |
| Knowledge | Good working knowledge of Microsoft Excel |
Key Responsibilities
– Collaborate with business and domain teams to understand analytical and reporting requirements
– Extract, clean, preprocess, and validate data from databases using SQL and related tools
– Perform Exploratory Data Analysis (EDA) to identify trends, patterns, correlations, and outliers
– Apply statistical techniques such as regression analysis and hypothesis testing
– Use tools like Python, R, or SPSS for data analysis and statistical modeling
– Design and maintain dashboards, reports, and visualizations using Power BI, Tableau, or Excel
– Translate complex data findings into clear, actionable business recommendations
– Present insights and reports to stakeholders in a structured and understandable manner
– Support ad-hoc data analysis and track key performance indicators (KPIs)
– Work with data engineering and BI teams to ensure data quality and optimize data workflows
Required Qualifications
– Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field
– Strong proficiency in SQL for data querying and manipulation
– Good working knowledge of Microsoft Excel
– Experience with at least one data visualization tool such as Power BI or Tableau
– Familiarity with statistical or analytical tools like Python (Pandas, NumPy), R, or SPSS
Desired Skills & Competencies
– Strong analytical and problem-solving skills
– Ability to communicate data insights clearly to both technical and non-technical audiences
– High attention to detail and focus on data accuracy and integrity
– Collaborative mindset with the ability to work across multiple teams
– Structured and methodical approach to data analysis
