Data Specialist
Data Specialist
Posted on :
18-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
18-04-2025
Job Description
hatch I.T. is partnering with VIAto find a Data Specialist. See details below:
About the Role:
As a Data Specialist at VIA you will play a pivotal role in the growth of their solutions. Your key responsibilities will include translating customer domain knowledge into data infrastructure requirements designing and automating data ingestion and cleaning processes transforming raw data into insightful visualizations and ensuring the quality of our datadriven solutions. You will manage source documents to verify the accuracy of information ensure data quality and manage the incorporation of data into VIAs work streams (database modeling and reporting decisions to name a few). You will work on an Agile product delivery team that may include
developers data and modeling specialists and client delivery professionals.
About VIA:
VIA is making an impact and so can you.
At VIA their mission is to make communities cleaner safer and more equitable. They believe that by working across organizational boundaries they can achieve greater collective good than they can individually. VIA overcomes digital barriers to collective action by providing the worlds most secure and simple data and identity protection solutions.
They are trusted by the U.S. Department of Defense and Fortune 100 companies around the globe to solve their toughest data and identity protection challenges. Using our Web3 quantumresistant passwordless technologies 19 issued patents) VIA protects data against theft manipulation and misuse.
In this role you will:
- Understand existing data ingestion and cleaning processes and take responsibility for further refinement and implementation
- Explore raw customer data to get a better understanding of the different files columns and characteristics (e.g. column averages expected ranges trends standard deviations etc.
- Understand customer needs and requirements and make suggestions based on data
- Work with VIAs client delivery team and the customer to validate assumptions and resolve issues with the data
- Own the ingestion of data into relational and/or nonrelational databases standardized across customers enabling data to connect to the rest of the data science pipeline
- Leverage VIA libraries to ingest raw data from customers
- Perform cleaning of raw data
- Design endtoend data pipelines
- Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
- Perform quality control identifying errors or discrepancies in data and data products including automated and manual testing
- Translate customer domain knowledge to create automated analyses and insights
- Document assumptions and actions made during the data cleaning and wrangling process to provide traceability
- Utilize data visualization tools to analyze data and craft compelling visual representations
- Contribute to the continual improvement of internal tools for data cleaning and data quality assessment by identifying key datarelated challenges that are ideal candidates for automation
- Contribute to the delivery of databased products to external customers including data visualizations data quality reports and statistical analysis
What you will bring to this role:
- 2 years of experience in a datadriven role or equivalent in datarelated research projects
- Bachelors or Masters degree in science mathematics engineering or a datadriven field
- Competence in at least two of the following technologies:
- Database technologies (e.g. SQL PostgreSQL)
- Python R or equivalent programming with data science libraries (e.g. NumPy pandas)
- Data visualization tools ( seaborn ggplot)
- Ability to break down complex problems into actionable steps
- Passionate about data quality
- A selfstarter attitude and demonstrated ability to learn new technologies quickly
- Experience in the following is a plus:
- Data dashboarding tools (e.g. Streamlit Tableau Dash)
- Data pipelining (e.g. ETL workflows and tools)
$80000 $110000 a year
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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