Business Intelligence Manager

About the job 

Your main role at IOMED will be to design, execute, maintain and continuously improve our reporting and analytics portfolio. You will work closely with the rest of the business area to leverage our data in ways that provide actionable business insights.

You will be a key contributor in our efforts to enhance and drive the strategy and scalability of the company. Deep diving into data in order to identify areas of improvement in our processes and partner with the business to find effective solutions.

About you 

You will be working in a very dynamic and innovative environment. For this reason, in terms of personality, we are looking for someone who is a data enthusiast, a fast learner and an innovative thinker. Additionally, is never satisfied with the status quo, can show success in following-up and getting things done and has the ability to thrive in a fast-paced, data-centric and ever-changing analytics environment.

Tasks

You can definitely expect to:

• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format for all business profiles.
• Standardize and automate a set of reports, metrics and dashboards that reflect the reality of our business.
• Contribute to the continuous improvement of our reporting infrastructure, being responsible for bringing forward new ways to better reporting.
• Analyze and explore other sources of data.
• Ensure a high quality of information in all reporting and data sources.
• Give data-backer potentially game-changing recommendations.
• Constantly challenging the status quo and proposing alternative solutions to drive efficiency.
• Perform comprehensive analysis to support ad-hoc & strategic reporting requests.
• Establish scalable, efficient, automated processes for predictive data analyses.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Economics, Business, Engineering or a related discipline.
• MBA and/or Professional certification (CPA/CMA etc.).
• +5  years of experience in analytical roles.
• Proven ability to deliver actionable insights, and apply strong judgement to prioritization.
• Decision Making/ Complex Problem Solving skills.
• Data analytics experience in making hypotheses, accessing and prepping data and drawing actionable insights.
• Demonstrated experience in gathering and analyzing data from a DWH through SQL queries.
• Demonstrated ability to write complex, optimized SQL queries across large data sets.
• Proven experience using business intelligence/big data tools (SSAS Cubes, Power BI/Quicksight, Cognos, Python, R, etc.)
• Experience with software coding practices.
• Experience in developing web applications.

What we offer 

• Full-time permanent contract. 
• Gross annual wage
• Company profit-sharing scheme valued at up to €10,000 per year
• Flexible schedule, with the possibility of home office. 
• A warm, transparent and supportive team, with a huge emphasis on work-life balance. 
• The opportunity to make your mark in e-health and AI. 

About IOMED 

IOMED is a leading technology start-up company in the field of massive medical data extraction and processing. It is made up of a united, young, dynamic, and flexible team, which, after several years of working together, is characterized by its agility, enjoyment of work, and rapport. Accordingly, we are looking for candidates with the desire to innovate, launch a relevant project, and grow with it, always enjoying teamwork and challenges, which are many, every day. 

As an employer, we offer equal opportunity. We want to grow our team with talented, dynamic people who want to make their mark in the field of AI and research, regardless of race, color, religion, national origin, gender, physical disability, or age.

What we do 

Nowadays, about 50% of clinical trials are delayed due to slow data collection from patients, which is done manually. As a result, clinical research is highly inefficient in both time and cost, taking years and billions of dollars to develop a new drug.

This problem could be solved through Real-World Data, that is, those contained in electronic medical records (EHRs). But unfortunately, up to 85% of existing clinical data is unstructured.

IOMED has found a solution to this situation, making it possible to fully harness the value of Real-World clinical data. We developed a tool that extracts the necessary data from clinical texts, resulting in a structured, standardized, and interoperable database that contains complete clinical information from hospitals.

In this way, non-reusable information is transformed into data available for Clinical Research, which allows increasing the number of patients that meet the criteria, as well as reducing the total time and manual work dedicated to this task.