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Data Specialist

Data Specialist 

Location: Somerville, Massachusetts


VIA is making an impact, and so can you 🫵

At VIA, our mission is to make communities cleaner, safer, and more equitable. We believe that by working across organizational boundaries, we can achieve greater collective good than we can individually. VIA overcomes digital barriers to collective action by providing the world’s most secure and simple data and identity protection solutions.

We 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, quantum-resistant, passwordless technologies (19 issued patents), VIA protects data against theft, manipulation, and misuse.

As a Data Specialist at VIA, you will play a pivotal role in the growth of our 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 data-driven solutions. You will manage source documents to verify the accuracy of information, ensure data quality, and manage the incorporation of data into VIA’s 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. 

Read more about our mission, team, and values here.

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 VIA’s client delivery team and the customer to validate assumptions and resolve issues with the data 
  • Own the ingestion of data into relational and/or non-relational 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 end-to-end 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 data-related challenges that are ideal candidates for automation
  • Contribute to the delivery of data-based 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 data-driven role or equivalent in data-related research projects
  • Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven 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 (e.g.,Plotly, seaborn, ggplot) 
  • Ability to break down complex problems into actionable steps 
  • Passionate about data quality 
  • A self-starter 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)

What does it take to be a successful VIAneer? Let’s break it down, our VIAneers are:

  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others

What can VIA do for you?:

VIA offers competitive rewards and benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers’ favorite perks:

  • A fully funded, top-tier health benefits plan, fully covered from day one, including vision and dental coverage for your whole family
  • 20 vacation days annually, Summer Fridays, and an extended holiday period in December
  • Paid parental leave, supporting new parents and families
  • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
  • Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to two well-located offices (and more to come!) designed for collaboration and stocked with everything you could need
  • Opportunities to work from eligible locations for up to 2 months per year
  • Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs
  • Transit benefits to support commuting costs
  • In-person events to foster team bonding and collaboration across different teams

Read more about our benefits and perks here.

VIA is committed to the importance of belonging.

VIA is an equal opportunity employer. When you apply for a role at VIA, your application will be considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you would like to request a specific accommodation, please notify us with your submission.


You can learn more about our mission, values, and team on our careers page.

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What You Should Know About Data Specialist, Via

Whether you’re a data whiz or just starting out, the Data Specialist position at VIA in Somerville, Massachusetts offers an exciting opportunity that you won't want to miss out on! At VIA, we’re driven by our mission to make communities cleaner, safer, and more equitable through secure data solutions. As a Data Specialist, you will be at the forefront of transforming raw customer data into actionable insights that help improve our offerings. Your role will involve not only designing and automating data processes, but also digging deep into our clients' data needs. You’ll be responsible for ensuring data quality, managing its incorporation into our workflows, and collaborating with a dynamic Agile team. Imagine crafting compelling visualizations that tell a story, validating data assumptions, and contributing to data-based products that make a real-world impact. You’ll work closely with fellow professionals while growing your skills in a supportive environment. We’re looking for team players who thrive on creativity, problem-solving, and the adventure of exploring new ideas. If you're passionate about data quality and eager to make a difference, you’ll fit right in at VIA. Join us, and let’s lead the charge towards a more secure and insightful future!

Frequently Asked Questions (FAQs) for Data Specialist Role at Via
What are the key responsibilities of a Data Specialist at VIA?

As a Data Specialist at VIA, your key responsibilities include translating customer domain knowledge into data infrastructure requirements, designing and automating data ingestion processes, and ensuring the accuracy and quality of data-driven solutions. You will work collaboratively within an Agile team to deliver compelling data visualizations and insights.

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What qualifications are necessary for the Data Specialist position at VIA?

To succeed in the Data Specialist role at VIA, candidates should have at least 2 years of experience in data-driven roles or related research projects, alongside a Bachelor’s or Master’s degree in a science, mathematics, or engineering field. Proficiency in technologies like SQL, Python, or data visualization tools is essential.

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How does VIA support the professional development of Data Specialists?

VIA takes professional development seriously. They offer individualized mentorship opportunities, access to learning programs, and participation in internal and external mentorship panels. This ensures that Data Specialists not only excel in their current roles but also grow their skills for future opportunities.

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What technologies should a Data Specialist at VIA be familiar with?

A Data Specialist at VIA should be well-versed in technologies including database systems like SQL and PostgreSQL, programming languages such as Python or R, and knowledge of data visualization tools like Plotly or Tableau. Familiarity with data pipeline management is a bonus.

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Can I work remotely as a Data Specialist at VIA?

Yes! VIA offers flexibility to work from home when needed, along with access to well-stocked offices for collaboration. This work arrangement allows for a balanced work-life experience, catering to your preferences while still fostering teamwork.

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Common Interview Questions for Data Specialist
How would you approach cleaning and validating customer data as a Data Specialist?

When tackling customer data, I would begin by understanding the source files and their attributes before applying cleaning methods to ensure accuracy. Following this, I would utilize validation techniques to cross-check against known specifications, ensuring all data aligns with expected standards.

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Can you describe a challenging data problem you resolved in a previous role?

In a past role, I encountered a discrepancy in dataset consistency that affected the reporting accuracy. I systematically identified the source of the issue by tracking data lineage, advised on a new ingestion process, and implemented measures for better quality checks moving forward.

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What experience do you have with data visualization tools?

I have worked with various data visualization tools such as Tableau and Plotly. My approach generally involves understanding the data requirements, selecting the appropriate visualizations to represent the data effectively, and ensuring that narratives are clear and insightful for stakeholders.

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How do you ensure the quality of data in your projects?

I prioritize data quality by implementing automated and manual testing throughout the data pipeline. Additionally, I document assumptions and triggers during the data cleaning process for transparency, ensuring all team members can track potential issues.

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What strategies would you use to translate customer requirements into data solutions?

I believe in actively engaging with customers to gather their needs and expectations. After which, I formulate a plan that addresses these requirements by mapping out data flows, validating assumptions with stakeholders, and keeping an iterative feedback loop to adjust as necessary.

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How do you prioritize tasks while working on multiple data projects?

I use project management tools to prioritize my tasks based on deadlines and project requirements. I also break down larger tasks into smaller, manageable steps, allowing flexibility to adapt as new challenges arise without losing sight of overall project goals.

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Can you explain your experience with database technologies?

I have hands-on experience with SQL and PostgreSQL. Within these platforms, I’ve developed queries to extract relevant data for analysis, ensured proper indexing for performance optimization, and assisted in designing schemas that meet both current and future data requirements.

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What role does collaboration play in your approach to data analysis?

Collaboration is central to delivering effective data solutions. I actively seek input from both technical and non-technical team members, facilitating discussions that lead to a deeper understanding of the data's context, ensuring that we align our analyses with customer expectations and business objectives.

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How have you applied data-driven insights to drive decision-making?

In previous projects, I analyzed performance metrics and surfacing insights that led to requisition adjustments and operational improvements. By presenting these findings with clear data visualizations, I effectively communicated potential impacts, aiding strategic decision-making.

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Describe a time when you had to learn a new technology quickly.

In a previous role, I was tasked with adopting a new data visualization tool within a tight deadline. I committed to self-learning via online resources and hands-on practice, allowing me to leverage the tool effectively, resulting in improved project outcomes within the given timeframe.

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Full-time, hybrid
DATE POSTED
April 13, 2025

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