Project Role : Analytics and Modeling Lead
Project Role Description : Lead the effort to gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an Analytics and Modeling Lead, a typical day involves spearheading initiatives to collect and interpret diverse data sets related to clients and markets. This role requires orchestrating comprehensive analyses that encompass customer behavior, financial metrics, operational workflows, and competitive landscapes. The position demands a strategic approach to transforming raw data into meaningful insights that support enhanced business decisions. Collaboration with various stakeholders to align analytical outcomes with organizational goals is a key aspect of daily activities, ensuring that data-driven strategies are effectively implemented and continuously refined.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of analytical models that drive business value and operational efficiency.
- Facilitate knowledge sharing and skill development within the team to foster continuous improvement.
- Coordinate cross-functional efforts to ensure alignment of analytics initiatives with broader organizational objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in designing and optimizing data pipelines and workflows within cloud-based environments.
- Strong capability in managing large-scale data integration and transformation processes.
- Ability to apply advanced data modeling techniques to support complex analytical requirements.
- Familiarity with collaborative tools and platforms that enhance team productivity and project tracking.

Additional Information:
- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Mumbai office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.