Data Analytics Role - Analytics Firm

Roles & Responsibility:

- Possesses strong analytical/logical thinking and communication skills.

- Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of our analytics team and validating data quality.

- Coordinate with business planners and decision-makers to translate business questions into verifiable hypothesis and data models.

- Develop clear, concise, actionable models and recommendations from mountains of data

Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business.

- Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations.

- Design and develop data preparation components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of analysis data by developing the requirement specifications and assisting the development and testing of data tables.

- Ensures solutions are scalable, repeatable, efficient and effective.

- Work hands-on on various analytics problems and provide thought leadership on problems.

- Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates.

- Be involved in the development of the company through pre-sales/operational support.

Qualifications:

- 2.5 to 4 years of experience in applying advanced algorithms on complex and large data sets and in data insights.

- Experience into Statistics, Programming and Machine Learnig skills, knowledge of Modelling (Predictive, Time Series etc.)

- Highly proficient in applying Machine Learning and Deep Learning techniques on Python

- Exposure to Power BI and Azure Databricks is an advantage.

- Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills in solving open ended business problems.

- Fair understanding of data infrastructure, data warehouse, or data engineering

- Coordinate with business planners and decision-makers to translate business questions into verifiable data models and hypotheses.

- Work with engineers to operationalize and monitor statistical / machine learning models

- Strong Story Boarding skills on MS Excel & PowerPoint.

- Bachelor's in Engineering or Masters in Statistics/Economics

Salary offered: 7-12LPA