Senior Analyst, Data Analytics

Location: Leesburg, VA

Department: 1701-Finance

What You’ll Do: 

• Work closely with business stakeholders to gather business requirements, ensuring key objectives are identified
• Collaborate with the Data Engineering team to identify, support, and create scalable solutions, including complex data models and statistical calculations
• Simplify complex information to effectively present content across various levels of the business
• Build Power BI reports and dashboards based on business requirements & collaborate to develop and deliver training and consultations on how to use data and insights to drive decisions
• Investigate reporting issues from supported business unit and provide technical expertise to resolve and follow-up in a timely manner
• Work efficiently with large data sets from complex processes to derive insights creating custom Structured Query Language (SQL) for data queries where needed
• Perform Quality Assurance (QA) activities to ensure the data integrity of new/existing reporting
• Lead the prioritization of projects/tasks to ensure proper tracking and delivery of requests

What You Bring: 

• Bachelor's degree in Data Engineering, Computer Information Systems, Data Analytics, Business Analytics, Computer Science, Computer Engineering, Data Science, or other applicable engineering/technical field.
• ​Graduate degrees preferred
• 2 years of work experience related to business intelligence, analytics, data engineering, information services, or related experience
• ​Experience with business intelligence and analytics platforms (e.g., Power BI)
• ​Experience with data transformation and cleansing
• ​Experience acquiring and preparing data from multiple ERP systems such as AS400, Oracle, SAP and JDE
• ​Proven thought-leadership in interpreting and communicating analytical content
• ​Excellent organizational, problem-solving, and analytical skills
• ​Ability to effectively present and influence leadership and large groups of people
• ​Ability to manage priorities and workflow in a rapidly changing environment

Physical & mental requirements:

• ​Strong analytical/quantitative skills required
• ​Ability to translate business needs into technical solutions
• ​Analytical problem solving. Can go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues
• ​Strategic thinking. Can analyze data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities.

Why VB Spine? 

We believe in growing talent from within. At VB Spine, you’ll get the training, mentorship, and support you need to build a strong foundation in the medical sales field. You’ll work alongside a high-performing team, gain valuable operating room experience, and take your first step toward a rewarding and meaningful career. 

Compensation: 
Pay for this role is competitive and based on experience, with qualifications and performance taken into account.

VB Spine reserves the right to offer compensation outside of this listed range. Final compensation is determined on a case-by-case basis and considers a variety of factors, including experience level, skillset, and market conditions.  

Benefits include: 

• Comprehensive health, dental, and vision insurance 

• 401(k) with company match 

• Paid time off (PTO) and holidays 

• Ongoing training and professional development opportunities 

• Opportunity to grow within a fast-paced, dynamic company 

About the Company

Senior Analyst, Data Analytics

Location: Leesburg, VA
Company: VB Spine 

Looking for a career where your work truly matters? At VB Spine, you’ll be part of a mission-focused team that supports surgeons during life-changing spinal procedures. We’re looking for driven individuals ready to learn quickly, adapt under pressure, and grow in a dynamic, fast-paced environment. 

The Senior Analyst, Data Analytics, will be responsible for supporting analytics of the business units at the Spine division. They will work with multiple levels of the organization with varying degrees of data competency and adoption. It is imperative they can clearly translate data into digestible reports and dashboards to engage clients and strategically drive actionable insights and recommendations. They will support competency growth and organizational adoption by producing impactful results at a functional level.

Responsibilities include understanding business needs, translating requests into technical requirements, iterating over design and developing clear documents and reports, managing the prioritization of projects, and monitoring usage of the various analytics tools to gage overall value and identify opportunities. They will create holistic insights and recommendations for their assigned business units. They will partner with the Commercial Analytics Data Engineering team to develop complex data models and statistical calculations using Stryker’s intricate data ecosystem. Scalable reporting solutions must enable end users to drill into multiple levels of detail regarding product performance.

They must possess an understanding of measurement standardization and insight generation, use of business intelligence tools, such as SQL and Power BI, and project management acumen. This role requires a highly engaged, organized, initiative-taker with strong analytic and technical skills coupled with a highly consultative personality. He or she must demonstrate the ability to exercise a high degree of independent judgment, decision-making, accuracy, and initiative.