Digital & IT Senior Analyst - Data Engineer

Parker • Cleveland, OH

64d

About The Position

At Parker Aerospace, we develop technologies and innovative solutions that enable reliable, efficient and increasingly sustainable flight for the lifecycle of the aircraft, including aftermarket support. Our passionate people with deep engineering expertise, together with our breadth of differentiated technologies, ensure that we make the extraordinary happen and continue to shape the future of aviation in partnership with our customers. As a member of our team, you are instrumental in fulfilling our mission: 'Enabling Engineering Breakthroughs that Lead to a Better Tomorrow.' Pursuing a career at Parker presents unlimited opportunities for both professional and personal development. Working with some of the most brilliant minds in the industry, your contributions will be pivotal in developing innovative technologies and products, significantly contributing to Parker's goal of addressing the world's most pressing engineering challenges. At Parker, our team members belong, matter and make a difference. Position Summary The position has responsibility for leading data engineering efforts in support of the Team's Data and Analytics Strategy. This position is responsible for the design, development, implementation, maintenance, and continuous improvement of the Group Data Warehouse, Data Marts, and all dependent/subsidiary data functions. Additional responsibilities include working with the Group and Division Data and Analytics Team members in facilitating best practices for master data management, data modeling, data governance, and data integrations. This position reports to the Aerospace Group IT Manager, Data & Analytics, North America. Scope/Supervision and Interaction: ____ Has Direct Reports __X__ Does Not Have Direct Reports

Requirements

• Proven advanced experience in large-scale data warehousing, ODS data ingestion, data modeling, data integration development, ETL, and Master Data Management
• Expert knowledge of data integration methodology and tools (SSIS, Azure Synapse, Azure Databricks, or similar)
• Outstanding analytical and problem-solving skills
• Self-starter able to independently complete tasks accurately and quickly
• Excellent communication skills (verbal and documented)
• Expert ability using relational database environments (SQL Server required), SQL, and T-SQL
• Proficient in data modeling, both relational and dimensional (R or Python is a plus)
• 5+ years' experience in data extraction, data quality, and database relational structures
• Bachelor's Degree in: Computing Sciences, Information System, Business Intelligence, Data Science or related areas required
• This position is subject to meeting U.S. export compliance and/or U.S. Government contracting citizenship eligibility requirements.

Nice To Haves

• Prior business function experience is a plus (Finance, HR, Operations, Business Operations, Sales & Marketing, Quality)
• Master's degree in computer science, analytics, mathematics or engineering preferred
• Data Management and Analytics certification preferred

Responsibilities

• Designs, develops, implements, maintains, and continuously improves the Group's Data Warehouse, Operational Data Store (ODS), and Data Marts which will be comprised of numerous data sources, including data from multiple ERPs, MES systems, HR systems and numerous other systems.
• Integrates and blends data from existing systems.
• Connects data from additional disparate sources into a logical structure for consumption by analysts, end-users and reporting tools.
• Defines data model strategies and develops logical and physical data models and data marts to drive forward the strategy, taking advantage of opportunities to improve business performance.
• Develops strong understanding of company data & source systems and builds appropriate solutions that fulfill end users' analytical needs.
• Evaluate data accuracy, completeness, timeliness and stability to establish repeatable and sustainable processes. Automate data quality best practices where possible.
• Develop documentation to illustrate data designs, data integrations, testing results, data automation strategies, and more.
• Expand and support a growing analytics community throughout the organization, while supporting efforts to centralize and standardize data.

Benefits

• Comprehensive coverage for medical, prescription drugs, dental, vision, voluntary optional life, accident insurance, hospital indemnity insurance and critical illness insurance with competitive premium cost.
• 401(k) Plan with company matching contributions at 100% of the first 5% of pay
• Company provided defined-contribution retirement plan with annual contribution equal to 3% of pay
• Career development and tuition reimbursement
• Other benefits including paid parental leave, short and long-term disability programs, adoption assistance, a Care.com membership and financial planning assistance are provided at no cost to you.
• Supplemental benefit programs including identity protection, legal protection, and pet wellness are available at competitive rates.
• Paid Time Off and 13 Company-Paid Holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level