Zeer Snap Analytics / intent / snap-analytics

Snap Analytics

11-50 employees·Bristol, England, United Kingdom·snapanalytics.co.uk

Observed, not inferred · updated weekly

Buying intent

30 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

22signals · 30 days
23topics tracked
76.92%attributed to a team

Attention by team

LinkedIn activity, by team

Where Snap Analytics's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Snowflake
Azure Databricks
Customer Relationship Management (CRM)
Data Engineering
Artificial Intelligence
Data Architecture
Engineering
High20% of team Engineering to Snowflake: High, 20% of this team's signals
High30% of team Engineering to Azure Databricks: High, 30% of this team's signals
High20% of team Engineering to Customer Relationship Management (CRM): High, 20% of this team's signals
High20% of team Engineering to Data Engineering: High, 20% of this team's signals
Engineering to Artificial Intelligence: no signal
Medium10% of team Engineering to Data Architecture: Medium, 10% of this team's signals
Others
Medium33% of team Others to Snowflake: Medium, 33% of this team's signals
Others to Azure Databricks: no signal
Others to Customer Relationship Management (CRM): no signal
Others to Data Engineering: no signal
High67% of team Others to Artificial Intelligence: High, 67% of this team's signals
Others to Data Architecture: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Snowflake
LinkedIn
High volume
89%
last
18d ago
Azure Databricks
LinkedIn
High volume
87%
last
27d ago
Customer Relationship Management (CRM)
LinkedIn
High volume
98%
last
18d ago
Data Engineering
LinkedIn
High volume
98%
last
29d ago
Artificial Intelligence
LinkedIn
High volume
89%
last
11d ago
Data Architecture
LinkedIn
Medium volume
98%
last
19d ago
Software Development Lifecycle
LinkedIn
Medium volume
98%
last
30d ago
Power BI
LinkedIn
Medium volume
92%
last
19d ago
Agentic AI System
LinkedIn
Medium volume
98%
last
19d ago
Marketing Strategy
LinkedIn
Medium volume
98%
last
26d ago
Financial Close Process
LinkedIn
Medium volume
83%
last
27d ago
Object Storage
LinkedIn
Medium volume
96%
last
18d ago
Career Development
LinkedIn
Medium volume
94%
last
29d ago
Software Development
LinkedIn
Medium volume
96%
last
30d ago
Cloud Storage
LinkedIn
Medium volume
96%
last
18d ago

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Who's active at Snap Analytics

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Engineering5 active
researching Customer Relationship Management (CRM)
in
Senior ICresearching Financial Close Process
in
researching Data Engineering
in
researching Data Engineering
in
researching Snowflake
in
Others4 active
Executiveresearching Artificial Intelligence
in
Directorresearching AI ROI
in
researching Marketing Strategy
in
researching Career Development
in

Primary products / business lines

LinkedIn company profile

We help ambitious organisations turn complex, fragmented data into AI‑ready foundations that deliver real business impact. By unifying, modernising and activating data, we move clients beyond strategy into production-ready AI that actually works. We partner with enterprise organisations navigating complex data landscapes who are looking to unlock more value from their data and accelerate their

Top accounts researching Snap Analytics

names withheld on the public page

These are companies whose own people brought up Snap Analytics unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

2,337 companies · 6,916 people are researching Snowflake

Snap Analytics's own team shows 3 signals on this topic. No one outside Snap Analytics has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Azure Databricks3,285 cos · 11,600 people
  • Customer Relationship Management (CRM)16,028 cos · 53,889 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Snap Analytics.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 3 people; Leadership — 1 person; Data / Analytics — 1 person

What's been said

public posts mentioning Snap Analytics

Up to 9 public excerpts naming Snap Analytics from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedInData Warehouse

This is the moment that we've all been waiting for. When David Rice and I started Snap Analytics in 2019 our focus was on helping organisations get the most value from their data using modern cloud platforms such as Snowflake . We've since delivered 25+ SAP to Snowflake projects and this announcement means that teams can focus much more time on value creation rather than technical data integration. Having a semantic rich data foundation for the most critical data in an enterprise is huge and means that enterprises can truly deliver AI transformation at scale! #sap #snowflake #ai #snapanalytics

May 2026

Leadership changes

Web / press

We’re growing up! We’re really not a start-up anymore. We’ve grown from a two-person operation in 2020 to a team of over 150 today. We’re in scale-up mode and with growth comes … | Snap Analytics

M&A / partnership appetite

Web / press

Snap Analytics and Dataiku Partner to Accelerate the Adoption of Enterprise AI  - Snap Analytics

About this data. Snap Analytics (snapanalytics.co.uk). Department attribution is 76.92%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries