The common responsibilities for this position include building end-to-end data pipelines, encompassing data collection, transformation, and integration; embedding AI technology to implement and fine-tune analytics solutions; leveraging AI products to maximize efficiency and productivity; managing and constructing a wide range of data sets to support analytic tools; participating in all phases of the Software Development Life Cycle (SDLC); analyzing business and user requirements to design effective system solutions; preparing system documentation; collaborating with software engineers and AI scientists; performing code reviews, debugging, and troubleshooting; implementing and supporting public-facing web applications; enhancing and maintaining existing market data platforms; managing vendor relationships; and providing operational and technical support, including occasional after-hours system support. Additional duties may include conducting technical assessments, creating prototypes, and undertaking various system analysis, development, and support tasks.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
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