Lead Analyst

Job Title: Lead Analyst, Compliance Analytics

Client :Einfochips

Work location: Gurugram

Duration :12 Months & Extendable

Work mode : Work from office

Notice Period: 0-15 Days

Lead Analyst, Compliance Analytics

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, abiliti es, 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, Data bricks, 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 modelling and database concepts