Assistant Manager - Data Analytics

Role Overview: As a data analyst, your primary responsibility will be to understand the client objectives and collaborate with the Project Lead to design an analytical solution/framework. You will need to translate the client's objectives and analytical plan into clear deliverables with associated priorities and constraints. Additionally, you will be organizing, preparing, and managing data while ensuring the quality checks are in place to ensure the analysis dataset is ready for further processing. Key Responsibilities: - Explore and implement various statistical and analytical techniques such as linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting, and machine learning algorithms like Random Forest, SVM, ANN, etc. - Conduct sanity checks of the analysis output based on reasoning and common sense, ensuring error-free outputs through rigorous self QC and overseeing the work of junior analysts. - Interpret the analysis output in the context of the client's business and industry to identify trends and actionable insights. - Visualize the findings effectively through tools like PPT, BI dashboards (e.g., Tableau, Qlikview) to highlight key takeaways from a business perspective. Qualification Required: - UG Qualification: B.Tech/B.E in Computers - PG Qualification: Any Post Graduate in Any Specialization - Doctorate: Doctorate Not Required Please note that the Desired Candidate Profile section was omitted as it only instructed to refer to the job description provided above. Role Overview: As a data analyst, your primary responsibility will be to understand the client objectives and collaborate with the Project Lead to design an analytical solution/framework. You will need to translate the client's objectives and analytical plan into clear deliverables with associated priorities and constraints. Additionally, you will be organizing, preparing, and managing data while ensuring the quality checks are in place to ensure the analysis dataset is ready for further processing. Key Responsibilities: - Explore and implement various statistical and analytical techniques such as linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting, and machine learning algorithms like Random Forest, SVM, ANN, etc. - Conduct sanity checks of the analysis output based on reasoning and common sense, ensuring error-free outputs through rigorous self QC and overseeing the work of junior analysts. - Interpret the analysis output in the context of the client's business and industry to identify trends and actionable insights. - Visualize the findings effectively through tools like PPT, BI dashboards (e.g., Tableau, Qlikview) to highlight key takeaways from a business perspective. Qualification Required: - UG Qualification: B.Tech/B.E in Computers - PG Qualification: Any Post Graduate in Any Specialization - Doctorate: Doctorate Not Required Please note that the Desired Candidate Profile section was omitted as it only instructed to refer to the job description provided above.