Hashable is seeking an experienced Data Visualization Engineer to design and develop a system that will allow
us to analyze user-generated data and data from other systems and databases to facilitate decision making,
product development and content offerings. This is a full-time position based in our office in New York City.
Responsibilities
Design, architect and develop data solutions to help product and business teams at Hashable make data-driven
decisions
Influence overall strategy and roadmap to architect & build scalable real-time and batch-driven solutions utilizing a
data warehouse environment
Leverage proprietary ETL (extract, transform, load) framework as well as off-the-shelf ETL tools, as appropriate
Provide a product data analysis framework to perform A/B testing of features and offerings
Take a consultative solutions approach to help both tech and non-tech teams to identify problems and recommend
solutions
Support end users on ad hoc data usage and be a subject matter expert on functional side of the business
Proactively research and recommend metrics providing insights into user behavior and opportunities
Requirements
B.S. or M.S. Computer Science, Mathematics, Electrical Engineering or a related field with an emphasis in
information analytics, data visualization, artificial intelligence or data mining.
Curious and passionate about data and its ability to impact business growth
At least 2 years of ETL development experience
Expert understanding of ETL techniques and best practices to handle large volumes of data
Proficient with SQL
Knowledge of BI reporting solutions preferred
Proficient with Excel data analysis capabilities (pivot tables, charting, macros)
Expertise around database programming and performance tuning techniques
Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities
Other
Business School/MBA training a plus, but not required.
Experience with Data warehousing architecture, file systems, server architectures, , distributed systems and data
modeling best practices a plus, but not required
Compensation
Base salary, bonus, and equity, commensurate with experience
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