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Senior Data Analyst - job post

Lean Tech
Desde casa
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Desde casa

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Job Description
Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.

We are at an exciting point in our company growth and are looking to hire a highly skilled Data Analyst where your expertise will transform medical and pharmacy claims data into actionable insights within our SaaS solutions. Your role is critical in utilizing advanced quantitative analysis and SQL skills to impact our product development and contribute substantial value to healthcare data solutions. This remote position reports directly to the Lead Data Scientist..

Position Title: Data Analyst
Location: Remote

What you will be doing:
SQL and Python Scripting: Craft and refine data processing scripts with a focus on efficiency and scalability. Your role involves advanced SQL techniques and Python scripts for data manipulation.
Data Analysis and Insight Generation: Utilize an extensive repository of national medical and pharmacy claims to derive actionable insights and construct valuable datasets.
Collaboration on Measure Methodology: In concert with peers and product teams, design the framework for measure methodology, ensuring accuracy and relevance.
Stakeholder Communication: Effectively communicate complex data insights to both technical and non-technical stakeholders, aiding in the translation of business needs into tangible data outcomes.
Independent Research and Continuing Education: Engage in self-directed learning to remain at the forefront of data analysis trends and methodologies within the healthcare sector.

Requirements & Qualifications

To excel in this role, you should possess:
Educational Background: Possession of a Bachelor’s degree in a technical discipline, or an equivalent amalgamation of education and work experience.
Professional Experience: A minimum of three years in a data analyst role, preferably within the healthcare or life sciences industries.
SQL Expertise: Advanced proficiency in SQL, including but not limited to optimizing queries, complex data set manipulation, and reverse engineering of existing scripts.
Python Skills: Intermediate ability in Python, specifically with Pandas and NumPy, for effective data analysis.
Healthcare Data: Experience with and understanding of healthcare claims data are essential. Knowledge of medical coding systems is required, with a focus on the ability to navigate and leverage ICD10, CPT, HCPCS, and other relevant standards.
Data Optimization and SAS Code: Demonstrable ability in database optimization and complex SAS code interpretation, essential for enhancing data process efficiency.
Cloud Platforms: Proficiency in AWS; familiarity with additional cloud services is beneficial.
Predictive Modeling and Machine Learning: An understanding of predictive models and machine learning algorithms is valued, though not the primary focus of the role.
Visualization Tools: Experience with data visualization tools enhances the ability to convey complex information understandably.
Database Systems: Comprehensive knowledge of SQL database systems.

Why you will love Lean Tech:
Join a powerful tech workforce and help us change the world through technology
Professional development opportunities with international customers
Collaborative work environment
Career path and mentorship programs that will lead to new levels.
Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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