Job Description

What will you do: (max 8 bullets)

Essential Duties & Responsibilities: (Detailed Description)


Leads discussions with key stakeholders to ensure that key business questions and problems are

well defined and understood


Assists or leads the design, development and delivery of data sets/solutions to help meet

business objectives


Develop and maintain internal procedures and documentation that encompass the full lifecycle

of data analytics related activities


Understand business objectives for data analytics and ensure adherence to established business

and data policies


Analyze large volumes of data to facilitate the communication of insights and findings to key

compliance stakeholders and business partners


Partner with data custodians and process experts to ensure quality of data and definitions to

support building reliable data models and analysis


Lead culture of continuous improvement by enhancing existing databases, data collection

methods, statistical methods, technology, procedures and training.


Maintains awareness of industry best practices and pursues professional development

opportunities through internal/external trainings and research and shares knowledge with team

members


Develops strong relationships with relevant members of the Information Technology (IT)

department to leverage expertise and foster collaboration


Act as a role model to the department and organization through performance, integrity and

team approach


Possesses strong communication and presentations skills, particularly in communicating and

visualizing quantitative findings in a compelling and actionable manner for management


Possesses and practically applies broad and advanced knowledge, skills, abilities, and

understanding of disciplines within business application


Demonstrates well-developed ability to anticipate impact and to proactively take initiative

beyond direct responsibilities


High volume or complex work is completed in a timely and thorough manner with minimal

rework


Well-developed ability to show discretion and maintain confidentiality


Self-managed and motivated

What you need: (8 bullets points)

Education & Special Trainings:


Undergraduate Degree required. Statistics, Mathematics, Computer Science or other relevant

engineering/technical field preferred.

Qualifications & Experience:


7 - 12 years of relevant degreed experience required


Proficient in common data programming languages (e.g. SQL, Python, R, DAX, Spark)


Hands on working experience in following tools preferred - Azure Data Factory, Databricks,

Analysis Services, Microsoft Flows


Hands on experience in ML, ML Flow and Data Science concepts


Good understanding of statistics and AI algorithms


Proficient in business intelligence and analytics platforms (e.g. Power BI, Tableau, Alteryx)


Experience with data modeling and database concepts

Job Types: Full-time, Permanent

Pay: ₹1,800,000.00 - ₹2,000,000.00 per year

Benefits:

Provident Fund
Schedule:

Day shift
Experience:

Machine learning: 7 years (Required) Python: 7 years (Required) Azure: 7 years (Required)
Work Location: In person