FDS&A Analyst - Data Engineering and Automation

Job Description - FDS&A Analyst (Data Engineering) for Modernization and Automation

The Financial Decision Support & Analytics (FDS&A) team is responsible for providing analysis, insights and reporting that help identify drivers of performance and guide appropriate tactical actions to improve financial outcomes. The team partners with Retail Finance teams in the US for functions such as Global FP&A, Store Operations, Merchandising and Supply Chain.

The successful candidate will be a creative thinker with a strong bias to action and could collaborate across Finance. This role requires strong logical reasoning, software development, problem-solving skills and design / develop futuristic solutions that cater bigger needs of the organization. The ideal candidate will have a proven track record of influencing and supporting decisions in a fast-paced, high-energy environment and have experience working in a Software Engineering or Data Engineering role.

Key Responsibilities:

• Translation of technical documentation into modules with logic built to handle all scenarios.
• Developing, configuring, or modifying complex integrated business and/or enterprise infrastructure or application solutions within various computing environments.
• Work with large, complex, and disparate data sources to implement and maintain financial data pipelines that create FP&A ready tables for complex business analysis on enterprise Big Data Platform (Hadoop on-Prem and GCP Cloud) solutions to ensure the successful deployment.
• Finance business needs are very agile and hence ensure the solution developed can go through modifications swiftly to cater to business needs and the applications are efficient, scalable, and maintainable.
• Partner with Enterprise Architecture, Technology Platform and Enterprise Data Governance teams to utilize in house tools while designing solutions and build data pipelines that adhere to data quality and governance standards.
• Collaborate with retail finance teams to provide data solutions, standardize, and automate process etc. and be a true partner while working with stake holders and business counterparts versus task taker.
• Demonstrate Learning Agility - Actively learning through experimentation when tackling new problems, using both successes and failures as opportunities for learning.
• Display Financial Acumen - Interpreting and applying understanding of key financial indicators to make better business decisions.

Required Qualifications:

• Bachelor s or Master s degree in computer science, CIS, or related field
• Minimum 2 years of experience developing and implementing solutions applying development life cycles (SDLC)
• Ability to understand technical documentation in a platform development environment and design data pipeline modules and scripts.
• Experience working with Continuous Integration/Continuous Deployment tools and source code control systems like Bit Bucket.
• 2+ years of experience working on Data Warehouse platforms like Teradata, Hadoop, or any Cloud Big data components.
• Good experience with Python, SQL, Scripting, Teradata, MicroStrategy, Oracle, MySql, DB2, Hadoop (Sqoop, Hive), PySpark, Airflow etc.
• Experience in GCP Cloud Data Platform (specific to the Data Engineering services like Dataproc, Cloud Composer, Big Query etc.)
• Be willing to grow professionally.

About Lowe s:

Lowe s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving more than 18 million customers a week in the United States and Canada. With the fiscal year 2019 sales of $72.1 billion, Lowe s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ approximately 300,000 associates. Founded in 1946 and based in Mooresville, N.C., Lowe s supports its hometown Charlotte region and all communities it serves through programs focused on safe, affordable housing and careers in the skilled trades. For more information, visit Lowes.com.

Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.