Staff Economist - Remote

Reposted 12 Days Ago
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Hiring Remotely in Office, Machaze, Manica
Remote
100K-120K Annually
Senior level
Healthtech
The Role
The Staff Economist analyzes economic data, develops predictive models, and advises on business strategies, collaborating with cross-functional teams to drive growth.
Summary Generated by Built In

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance.

  • Everyone is focused on serving the customer and we do that by collaborating and supporting each other
  • Associates look forward to coming to work each day
  • Every associate matters and makes a difference

It is truly a culture like no other We hope you will join our team! Find out more about our company and culture here.

Summary

The Staff Economist uses economic theory and statistical principles to diagnose business performance, growth opportunities and predict outcomes in sales strategy and other areas of the business.  Accountable for researching economic issues, collecting and analyzing economic data and creating models to forecast market trends.  Partners with business teams and org leaders to advise on economic subjects and present findings to internal stakeholders using statistical mathematical techniques that align actionable models to business strategies.  Accountable for building business solutions that drive positive outcomes for company growth.  Communicates extensively with business partners across multiple disciplines.

Responsibilities          

• Responsible for research on current economic market issues with corresponding analysis on current and historical market data.

• Support the execution of statistical mathematical solutions to business problems by partnering with data scientists and internal leaders to ensure alignment with identified market trends and issues.

• Lead team and more junior associates on project direction and oversight to drive outcomes.

• Build statistical models for sales strategies to interpret data, forecast market trends and predict outcomes.

• Build and present reporting of findings in written summaries, tables and charts to effectively communicate findings and recommendations to leaders across multiple disciplines.

• Support the organization in the collection, management and interpretation of company and client data.

• Develop materials to explain project findings to leadership.

• Leverage industry standards, best practices and own expertise to determine solutions and anticipate issues. 

• Work independently and seek guidance and opinions when appropriate to ensure collaboration across organization.

• Communicate and collaborate with technology and business leaders to drive positive outcomes.

• Translate economic concepts into clear, digestible business appropriate language to ensure adoption across all areas of the organization.

• Act as mentor to train and guide lesser experienced team members.

• All other duties as assigned.

Skills and Experience

• At least 5 years of progressively complex statistics, economics, data science or related work, with demonstrated technical project/program management experience working with software engineering teams.

• Previous experience with economic market research is required, with strong quantitative background in statistics, economics or applied mathematics.

• Previous demonstrated expertise as an R/Python programmer who is also proficient in other languages important to the ETL data pipeline (e.g., SQL).

• Experience in predictive modeling and large-scale data analysis.

• Excellent verbal, written and presentation skills.

• Must be able to influence teams in indirect reporting structure to drive outcomes using maturity, high judgment, and negotiation skills while working to gain consensus amongst teams and departments.

• Ability to communicate effectively and also concisely across company leaders both in the technical and non-technical space to drive company strategies using economic findings.

Education and Qualifications

• Bachelor’s degree in Statistics, Economics, Data Science or related field is required, or equivalent experience.  Master’s degree is highly preferred.

#LI-Remote

At TRIMEDX, we are committed to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive. This culture reflects our belief that our people are our foundation, their well-being is essential, and shared success is built through meaningful work, recognition, and opportunities for growth.

We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. 

Visit our website to view our Workplace Culture Commitment , along with our social channels to see what our team is up to: Facebook, LinkedIn, Twitter.

 

TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace.

Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

Top Skills

Python
R
SQL
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The Company
HQ: Indianapolis, IN
1,913 Employees
Year Founded: 1998

What We Do

TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics and medical device cybersecurity. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital spend, maximizing resources for patient care, and delivering improved safety and protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 92% of all active medical device models.

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