Data Analyst, Program Lead

About LIDAS:

LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a “Center of Excellence” (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems & Use Cases in the semiconductor, manufacturing, and supply chain domains for the company.

Eligibility Criteria:

• Years of Experience: Minimum 9-12 years
• Job Experience: Experience with Power Platform (Power Apps, Power Automate & Power BI)

Expert in Database and Data warehouse tech (Azure Synapse/SQL Server/SAP HANA)

Data Analysis/Data Profiling/Data Visualization

• Educational: Bachelor’s Degree: Math/Statistics/Operations Research/Computer Science

Master’s Degree: Business Analytics (with a background in Computer Science)

Primary Responsibilities:

• Ability to interact closely with Business Stakeholder on understanding their business requirements and converting them into opportunity.
• Leading POCs to create break through technical solutions, performing exploratory and targeted data analyses.
• Ability to Manage and support existing applications and implementing the best practices on timely Manner.
• Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements
• Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources
• Analyzes the results to generate actionable insights and presents the findings to the business users for informed decision making
• Understands business requirements and develops dashboards to meet business needs
• Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics
• Performs Data mining which provides actionable data in response to changing business requirements
• Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality
• Owns technical implementation and documentation associated with datasets
• Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc.)
• Provides post-implementation support and ensures the target project benefits are successfully delivered in a robust and sustainable fashion.
• Builds relationships and partners effectively with cross-functional teams to ensure available data is accurate, consistent and timely
• Independently manages expectations from stakeholders, optimally utilizes time for larger initiatives with minimal guidance on prioritization or dependencies
• Provides mentorship and guidance to peers and junior team members

Mandatory Skills required to perform the job:

• Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability
• Strong Knowledge on Python and PySpark.
• Specialist in Power Platform (Power Apps & Power Automate)
• Expert in Reports & Dashboard development (Power BI) and ETL tools (SAP DS, SSIS)
• Data Analysis skills, experience in extracting information from databases, Office 365
• Knowledge of SAP systems (SAP ECC T-Codes & Navigation)
• Expert in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse)
• Experience in project requirements gathering and converting business requirements into analytical & technical specs.
• Good understanding of business processes and experience in Manufacturing/Inventory Management domains
• Knowledge in performing Root cause analysis and Corrective actions
• Excellent verbal and written communication & presentation skills, able to communicate cross-functionally

Desirable Skills:

• Agile/SCRUM development using any tools.
• Understanding of enterprise server architecture, cloud platforms
• Experience in advanced analytics techniques using Statistical analysis
• Ability to deliver training and presentations in the area of expertise

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.