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
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