Snap Analytics tech stack
Snap Analytics builds mostly with SQL, Python. Its stack also includes Snowflake, Databricks, AWS, Amazon Redshift. Snowflake is named in 7 of the 8 job postings Snap Analytics published in the last 12 months (88%). Counted by Alion from the job postings of Snap Analytics, updated Oct 17, 2026.
What programming languages does Snap Analytics use?
SQL is named in 38% of job postings at Snap Analytics, followed by Python (38%).
What frameworks and libraries does Snap Analytics use?
PoC Library is named in 13% of job postings at Snap Analytics.
What databases does Snap Analytics use?
Snowflake is named in 88% of job postings at Snap Analytics, followed by Amazon Redshift (13%), BigQuery (13%), Google BigQuery (13%).
BigQuery 
SAP BW What cloud and platforms does Snap Analytics use?
Databricks is named in 75% of job postings at Snap Analytics, followed by AWS (25%), Bitbucket (25%), Spark (25%).
What developer tools does Snap Analytics use?
Matillion is named in 38% of job postings at Snap Analytics, followed by Azure Data Factory (25%), pySpark (25%), Git (13%).
Which engineering practices does Snap Analytics ask for?
CI/CD is named in 25% of job postings at Snap Analytics, followed by ETL/ELT (25%), Machine Learning (13%), Shift-Left (13%).
What does each Snap Analytics team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
4 postingsHow does your stack fit Snap Analytics?
How modern is the Snap Analytics stack?
Snap Analytics scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How common is the Snap Analytics stack in its industry?
Share of the 607 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Snap Analytics
Questions about the Snap Analytics tech stack
What programming languages does Snap Analytics use?
The languages named in Snap Analytics job postings are SQL (38%), Python (38%), as a share of the 8 postings of the last 12 months.
Does Snap Analytics use Databricks?
Yes. Databricks is named in 6 of 8 job postings (75%) and required in 6 of them.
What cloud and platforms does Snap Analytics use?
The cloud and platforms named in Snap Analytics job postings are Databricks (6), AWS (2), Bitbucket (2) (postings in brackets).
What skills do you need for a Data Science job at Snap Analytics?
Data Science postings at Snap Analytics most often require Snowflake (4), Databricks (3), Matillion (3), AWS (2), out of 4 postings in the last 12 months.
Is the Snap Analytics tech stack changing?
No new technology has appeared in Snap Analytics job postings in the last six months.
How modern is the Snap Analytics tech stack?
Snap Analytics scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How does Alion know the Snap Analytics tech stack?
Alion reads every job posting Snap Analytics publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Oct 17, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Snap Analytics tech stack: 22 technologies from 8 job postings", as of Oct 17, 2026. https://alion.io/company/snapanalytics/technologies