About the job

Role- Analytics Consultant

Location- Bangalore/Gurgaon(Hybrid)

We are looking for a Consultant Data Analytics who can blend data analysis, statistical modeling, and visualization to solve real-world business problems.

The role requires strong skills in Python, SQL, and visualization tools with the ability to explore datasets, test hypotheses, and generate actionable insights that guide decision-making.

Key Responsibilities :

- Partner with stakeholders to understand business challenges and define analytical approaches.

- Perform exploratory data analysis (EDA) to identify trends, outliers, and relationships in data.

- Apply statistical techniques (hypothesis testing, correlation, regression, clustering) to validate insights.

- Build, test, and validate predictive and prescriptive models using Python and ML frameworks.

- Develop dashboards and visualizations to communicate complex findings clearly to business and technical teams.

- Translate analytical outcomes into compelling stories and actionable recommendations.

- Continuously explore new methods, algorithms, and tools to enhance analytics capabilities.

Must-Have Skills :

- Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib/seaborn).

- Solid grounding in data analysis and statistical methods (descriptive analytics, hypothesis testing, regression, clustering).

- Proficiency in SQL for querying and analyzing large datasets.

- Hands-on experience with visualization tools (Tableau, Power BI, or similar).

- Strong ability to translate data into insights and communicate them effectively.

- Problem-solving orientation with attention to detail.

- Minimum of 2 years experience dealing with analytics projects and in depth data analysis

Good-to-Have Skills :

- Exposure to time-series forecasting, NLP, or optimization techniques.

- Familiarity with cloud analytics platforms (AWS, Azure, GCP).

- Understanding of big data tools (Spark, Hadoop).

Education :

- Bachelors or Masters in Data Science, Statistics, Computer Science, Engineering, or related fields