Business Insights, Data Analyst

Hatfield, PA

Position supports two sites and candidates must be able to travel to our sites as needed

COMPANY SUMMARY

Inverness Graham, a Philadelphia based buyout firm that acquires innovative companies where technology is transforming traditional industry, has created a new Life Sciences and Diagnostics platform with the acquisitions of Electron Microscopy Sciences (EMS) and Azer Scientific. Founded in 1969, EMS is the most comprehensive source for all microscopy and general laboratory research fields. Azer Scientific was founded in 2003 and has grown into a leading healthcare supplier serving histology laboratories. The two brands share a common mission to partner with customers to drive service innovation within the life sciences and diagnostic industries and, today, serve customers across 100 countries.

POSITION SUMMARY

In this role, you will be responsible for converting complex data into actionable insights. You will be responsible for depth trend analysis, constructing predictive models, developing impactful dashboards and data products, and effectively communicating findings to steer strategic decision-making. Through close collaboration with cross-functional teams, the successful candidate will drive process enhancements and pinpoint lucrative growth opportunities, making a significant impact on the organization’s success. You will work closely with internal teams, using data to push continuous improvement in their processes and projects.

ESSENTIAL JOB FUNCTIONS

• Provide services and data analysis to business units departments and extract information and analysis for the local company, including collecting industry data.
• Drive the tactical and strategic commercial effectiveness activities with cross-functional collaboration in the affiliate to ensure alignment with the business strategy and optimum resource allocation.
• Generate monthly reports raising issues for follow-up and monitoring development and yearly calculations.
• Manage all product and multi-channel customer engagement data and build main insights dashboards in an accessible system and ensure that all relevant functions understand and apply customer engagement processes appropriately.
• Collaborate with cross-functional teams to address business opportunities and articulate known problems that data analytics can solve.
• Create and maintain predictive models and machine-learning algorithms to support business goals and untap business potential.
• Collaborate with data owners and business stakeholders to identify data elements to address reporting requirements.
• Be able to challenge, validate and authenticate data sources and strive to be the owner of one source of truth.

SKILLS AND ABILITIES

• Business and industry understanding and the ability to share your findings using impactful visualization and efficient communication.
• Good presentation skills and knowledge of design and implementation of new dashboards.
• Excellent communication skills.

EDUCATION

• Bachelor’s degree or Bachelor of Sciences. (preferably in Economics, Industrial & Management Engineering, Computer Science, or Statistics).

MINIMUM REQUIREMENTS

• 5 years of experience as a Business Analyst or Data Analyst with a focus on customer engagement.
• 2 years of experience with SQL, Python (or R), MS Excel, or other tools to analyze data efficiently for complex analysis and problem-solving.
• Experience with BI tools.
• Demonstrated expertise in conducting comprehensive business performance analysis.
• Ability to interpret data insights and communicate them effectively to both technical and non-technical stakeholders.
• Strong command of statistical analysis techniques, with a track record of applying advanced methodologies to derive meaningful conclusions from complex datasets.
• In-depth understanding of best practices in presenting data, ensuring that insights are communicated in a clear, compelling, and actionable manner.
• Experience with one or more of the following: Forecasting models, sales performance analysis, customer insights, and operations data analysis, such as inventory optimization.
• Exposure to or experience in building machine learning models to predict trends and behaviors applied in a business context.

Electron Microscopy Sciences/Azer Scientific provides equal employment opportunities to all persons and prohibits employment decisions based on race, religion, color, creed, national origin, sex, age, disability, political affiliation, protected veteran status, or sexual orientation.