People Interactive - Business Analyst/Senior Business Analyst

Description :

The Business Analyst will be responsible for understanding and deriving insights from the data collected by the company. They would be responsible for maintaining the data and for performing extensive analysis from data to derive actionable insights as per business requirements. They would have to quantify the impact of proposed initiatives, identify causations and correlations and differentiate between them.

 They would have to perform clustering to segment customers or build decision trees to analyze churn or forecast using regression models. They would have to assess the results of A/B experiments. They would have to identify and build metrics and reports as and when required and automate these processes as expected.

Background :

- The ideal candidate would have a degree in statistics, engineering or a related discipline and a passion or expertise in data and statistical analysis and has experience working in areas such as data warehousing, databases, data visualization, statistics, data analysis, A/B Experiments,reporting, basic machine learning and modelling. 

- They would be very comfortable working with massive unstructured data sets. 

- The candidate should also have a good working knowledge of technologies such as SQL, Excel, Google Analytics, Tableau/Qlik and R or Python. 

- The candidate is expected to be able to analyze large amounts of data and should have the ability to work with an appropriate data warehouse solution to do so.

Requirements :

- Expertise in deriving insights from large amounts of data is mandatory

- Expertise in customer segmentation, user profiling, churn analysis is required

- Ability to work with large data sets and to interpret them statistically is expected

- Strong problem solving skills is required

- Ability to work with data warehousing solutions to meet large datasets and analysis requirements is expected

- Experience in working with visualization platforms such as Tableau, Looker, Qlik etc will be useful

- Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful

- Expertise with SQL and MS Excel is mandatory

- Detailed understanding of statistical techniques is expected

- Proficiency in R or Python will be useful.

- Ability to understand and explain issues from both a technical and a business point of view is useful

- Knowledge of various analytics techniques will be expected

- Experience working on analytics and tracking tools such as Google Analytics will be preferred