Netradyne - Senior Data Analyst

ROLE & RESPONSIBILITIES:

- Conceptualize, design, develop KPIs, reports, dashboards, etc. to drive key decisions for internal and external stakeholders.

- Identify and formulate relevant metrics which will help to monitor not only business but also deliver process.

- Provide data in most comprehensible and consumable format so that it can be used to solve problems and validate solutions.

- Generate actionable insights from data for process improvement opportunities and also build streamlined and scalable solutions.

BASIC QUALIFICATIONS

- More than 4 years with relevant experience in business/data analytics.

- Hands on experience of SQL/python and understanding of statistical analysis tools and techniques.

- Sharp acumen to transform tabular data into high impact visualization.

- High analytical ability, ability to harness data to solve problems.

- Ability to translate simple/complex requirements into data design criteria's and then build code to deliver.

- Good communication skills - ability to build brief stories around data patterns/analysis and communicate the same to all stakeholders.

- Good team player and can work in tandem with multiple requests.

REQUIRED SKILLS

- Strong knowledge and hands on experience of SQL and Python.

- Hands on experience on descriptive data analysis to solve engineering or business problems.

- Hands on experience on any data visualization tool such as Tableau, Power BI, advanced charting in excel.

- Knowledge of basic application of statistics in data analysis.

- Percentile, Gaussian distribution, causation vs correlation, covariance etc

GOOD TO HAVE SKILLS

- Exposure to AWS services (EMR, ELK etc) will be an added advantage.

- Practical implementation of Modelling and ML techniques in production to solve business problems in organization.

- Strong knowledge of statistics: Inferential statistics - central limit theorem, ztest, Hypothesis testing etc