POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
The Opportunity
We are seeking a skilled Junior Data Analyst to join our team and work on OCR (Optical Character Recognition) projects.
About the Role
In this role, you will be responsible for analyzing large datasets extracted from OCR processes, identifying patterns, and improving accuracy. You will collaborate with cross-functional teams including data engineers, product managers, and software developers to streamline the data pipelines and improve OCR models. Your insights and analysis will be critical in enhancing our document digitization efforts.
Key Responsibilities
- Support business decision-making with data-driven insights
- Develop representative metrics for different parts of the pipeline
- Analyze and interpret OCR data to identify trends and improve model performance.
- Develop and maintain SQL queries to extract and manipulate data from large databases.
- Collaborate with the data engineering team to optimize data pipelines for better processing and retrieval of OCR outputs.
- Create visualizations and reports to communicate key insights to stakeholders.
- Assist in developing automation solutions to enhance OCR processes, ensuring high accuracy and efficiency.
Your Profile
- Proficiency in Python for data analysis, including libraries such as Pandas and NumPy.
- Strong expertise in SQL for querying and managing data across multiple databases.
- Experience with data wrangling and preprocessing of large-scale data.
Nice to have skills
- Familiarity with automation tools such as Airflow or dbt to streamline workflows and data pipelines.
- Strong background in statistics, basic knowledge of classic ML (linear models, decision tries, clustering, etc.)
- experience with analytics of ML models
- experience with setting up relevant product metrics
- previous experience in a team with advanced analytics processes is a plus
- Strong problem-solving abilities, attention to detail, and a proactive attitude towards continuous improvement.
8 Aspects of our Culture:
- Values are what we value
- High performance
- Freedom & responsibility
- Context, not control
- Highly aligned, loosely coupled
- Continuous Feedback
- Pay Top of Market
- Promotions & Development
- Learn more about Life at Incode!
Benefits & Perks:
- Meaningful Equity
- Flexible Working Hours & Workplace
- Open Vacation Policy
- Wellness Program
- International Travel Opportunities
- Additional benefits package according to location (401k, medical insurance, etc.)
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team and are always looking for talented and passionate people from all backgrounds and walks of life.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Top Skills
What We Do
Incode Technologies is an omnichannel biometric identity company that builds secure, top-rated solutions for frictionless banking, healthcare, hospitality, and retail experiences. The company’s end-to-end web and mobile solutions are adopted globally for a variety of applications, including remote account opening & customer onboarding, identity & document verification, and transaction authentication by some of the world’s largest financial institutions, governments, and retailers.
