Best 27 Data Analytics Companies and Big Data Consulting Firms in 2026

Most lists of data analytics companies are filled with names you already know: global consultancies with hundreds of thousands of employees and software vendors that sell platforms, not projects. If you need a team that will actually build your data platform, clean up your reporting, or get your data ready for AI, those lists don't help much.

We put together a different shortlist. It covers independent data analytics companies and big data consulting firms of small and mid size from the US, Canada, the UK and Europe. These are teams you can talk to directly, start with a focused project, and grow with.

How We Selected Data Analytics Companies

Big consultancies and platform vendors dominate search results for data analytics companies, but they are rarely the right fit for a mid-market project. We looked for teams that design, build and run data solutions themselves. Here is what we checked:

• Focus on data. Data engineering, analytics, business intelligence or big data consulting is the core business, not one practice among twenty.
• Size and independence. Small and mid-sized firms that are not owned by a large enterprise.
• Location. Headquarters in the US, Canada, the UK or Europe.
• Modern stack. Hands-on experience with cloud data platforms and current BI tools, confirmed by official partner status or services listed on the company's site.
• Verified facts. Every location, founding year and team size comes from the company's own website, its Clutch profile or LinkedIn.

We did not include global consultancies, software product vendors, or companies that were recently acquired by larger groups.

Data Analytics Companies Comparison Table

Top 27 Data Analytics Firms in 2026

Below are the 27 firms in more detail.

1. Akveo

Akveo is an AI enablement company that builds data platforms, analytics and AI solutions on top of enterprise data. Our team of 70+ data experts brings 10+ years of experience in data analytics and has delivered 200+ projects in healthcare, fintech, insurance, manufacturing and energy.

We connect fragmented sources such as SQL databases, SAP, REST APIs and documents into one platform, then add dashboards, AI agents and automated reporting on top. Learn more about our data analytics services.

• Location: USA (Austin, TX), with R&D presence in Poland and Lithuania
• Main Services: data engineering, data management, data visualization, data migration, big data development, agentic AI data analytics
• Technology Stack: Snowflake, Amazon Redshift, Azure Synapse Analytics, Azure Data Factory, Apache Spark, Power BI, OpenAI, Anthropic Claude, LangChain
• Team Size: 50-249 employees
• Year Founded: 2015
• Website Link: https://www.akveo.com/

2. Vidi Corp

Vidi Corp is a London BI consultancy built around the Microsoft stack. Besides projects, it trains in-house teams to work with Power BI themselves.

• Location: London, UK
• Main Services: BI consulting, data engineering, digital and marketing analytics, Power Platform automation, training
• Technology Stack: Power BI, Power Platform, Tableau, Looker Studio, BigQuery, SQL Server
• Team Size: 10-49 employees
• Year Founded: 2021
• Website Link: https://vidi-corp.com/

3. Denologix

Denologix is a Toronto firm that has worked in business intelligence and big data since 2003. Its site shows major Canadian banks and telecoms among clients, and it has a separate practice for SAS migration to SAS Viya and the cloud.

• Location: Toronto, Canada
• Main Services: business intelligence, big data, data science and healthcare informatics, SAS services, cloud and managed services
• Technology Stack: SAS, Microsoft, Oracle, Cloudera
• Team Size: 50-249 employees
• Year Founded: 2003
• Website Link: https://www.denologix.com/

4. Dynamic Data

Dynamic Data is a small BI and data engineering firm headquartered in California with team members across Europe, South America and the US. It works across all major warehouses and BI tools rather than tying clients to one vendor.

• Location: Carlsbad, CA, USA
• Main Services: BI and analytics, data engineering and integration, data strategy and architecture, data visualization, AI/ML
• Technology Stack: Snowflake, BigQuery, Databricks, dbt, Fivetran, Power BI, Tableau, Looker, Sigma
• Team Size: 10-49 employees
• Year Founded: 2019
• Website Link: https://dynamicdata.com/

5. Pontem Innovations

Pontem Innovations is a 13-person team from Edmonton focused on Power BI reporting, data warehouses and the apps around them. Many of its clients are non-profits, regulatory colleges and professional services firms.

• Location: Edmonton, Canada
• Main Services: Power BI dashboards and KPI reporting, data warehouses and integrations, semantic layers, workflow and portal apps
• Technology Stack: Power BI, FlowForma
• Team Size: 10-49 employees
• Year Founded: 2018
• Website Link: https://www.ponteminnovations.ca/

6. Beyond: Putting Data to Work

Beyond, formerly Beyond Analysis, calls itself a data studio that focuses on the "last mile" between insight and action. It works with retail, travel, financial services and private equity firms on customer data, personalisation and AI.

• Location: London, UK
• Main Services: data strategy, data infrastructure, analytics and AI solutions, customer experience and personalisation, generative and agentic AI
• Technology Stack: Google Cloud (Partner); ISO 27001 and SOC 2 Type II certified
• Team Size: 50-249 employees
• Year Founded: 2007
• Website Link: https://www.puttingdatatowork.com/

7. Data Never Lies

Data Never Lies is a young London firm that builds BI dashboards and operational layers on top of ERP and CRM systems. It runs its decision intelligence work through its own framework, The Decision Loop.

• Location: London, UK (engineering hubs in Barcelona and Astana)
• Main Services: BI dashboards, data team extension, AI adoption, decision intelligence, custom operational layers on ERP/CRM
• Technology Stack: Power BI, Tableau, Metabase, Microsoft, Snowflake, Databricks, NetSuite
• Team Size: 10-49 employees
• Year Founded: 2022
• Website Link: https://www.data-never-lies.com/

8. Data-Sleek

Data-Sleek is a small Los Angeles team that designs data warehouses and the pipelines that feed them. It is a good fit for companies that need one reliable source of truth before they invest in dashboards or AI.

• Location: Los Angeles, CA, USA
• Main Services: data warehouse design, data integration and transformation, data strategy and architecture, AI/ML, data governance
• Technology Stack: Snowflake, dbt, SingleStore, Fivetran, Microsoft Fabric, Power BI, Tableau
• Team Size: 11-50 employees
• Year Founded: 2020
• Website Link: https://data-sleek.com/

9. Analytics8

Analytics8 is a Chicago data and analytics consultancy with more than two decades on the market. It helps companies modernize legacy data stacks and prepare their data for AI.

• Location: Chicago, IL, USA
• Main Services: data strategy and AI readiness, data architecture and modernization, data engineering, BI and reporting, data governance
• Technology Stack: Databricks, Snowflake, dbt, Matillion, Sigma, ThoughtSpot, Power BI, Looker, Tableau, Qlik
• Team Size: 51-200 employees
• Year Founded: 2002
• Website Link: https://www.analytics8.com/

10. phData

phData is the largest firm on our list and one of the most decorated Snowflake partners, with seven Snowflake Partner of the Year awards. It covers the full path from data migrations to AI and runs data platforms for clients after launch.

• Location: Minneapolis, MN, USA
• Main Services: data engineering, data migrations, AI/ML and generative AI, analytics, managed operations
• Technology Stack: Snowflake (Elite), dbt, AWS (Premier), Fivetran, Sigma, Tableau
• Team Size: 501-1,000 employees
• Year Founded: 2014
• Website Link: https://www.phdata.io/

11. Aimpoint Digital

Aimpoint Digital is an Atlanta consultancy that combines data platform engineering with analytics, AI and optimization work. It has been named Databricks Digital Native Partner of the Year and holds Snowflake Elite status.

• Location: Atlanta, GA, USA
• Main Services: platform engineering, analytics, AI, data strategy, optimization and simulation
• Technology Stack: Databricks, Snowflake (Elite), dbt, Dataiku, Sigma, Alteryx
• Team Size: 201-500 employees
• Year Founded: 2017
• Website Link: https://www.aimpointdigital.com/

12. InterWorks

InterWorks has worked with data since 1996 and focuses on BI and visual analytics. Besides projects, it offers ongoing data support, so the same team can keep your dashboards and pipelines running.

• Location: Stillwater, OK, USA
• Main Services: data strategy, data solutions, data support, AI services, IT services
• Technology Stack: Tableau, Power BI, Sigma (Elite), Snowflake, Databricks, dbt, ThoughtSpot, AWS
• Team Size: 201-500 employees
• Year Founded: 1996
• Website Link: https://interworks.com/

13. Logic20/20

Logic20/20 is a Seattle consultancy with a strong analytics practice and deep focus on utilities, energy, financial services and life sciences. It is a fit for companies that need data strategy and engineering tied to industry processes.

• Location: Seattle, WA, USA
• Main Services: data strategy, data platforms and engineering, data visualization, AI
• Technology Stack: Not specified on the website
• Team Size: 50-249 employees
• Year Founded: 2005
• Website Link: https://www.logic2020.com/

14. Mammoth Growth

Mammoth Growth is a small California team that builds data foundations for marketing, sales and revenue teams. It is a good choice when the main question is which channels, campaigns and customers actually drive growth.

• Location: Corte Madera, CA, USA
• Main Services: analytics engineering, data architecture, analytics and measurement, data governance, AI agents
• Technology Stack: Not specified on the website
• Team Size: 11-50 employees
• Year Founded: 2015
• Website Link: https://www.mammothgrowth.com/

15. Infostrux Solutions

Infostrux is a Vancouver data engineering firm built around Snowflake. It reached Snowflake Elite status in under 18 months and handles migration, implementation and ongoing management of Snowflake platforms.

• Location: Vancouver, Canada
• Main Services: Snowflake migration and implementation, managed services, data strategy, data platform engineering, data governance, BI, AI/ML
• Technology Stack: Snowflake (Elite), Coalesce, Fivetran, Matillion, Dagster, Sigma, Dataiku, Monte Carlo, AWS
• Team Size: 51-200 employees
• Year Founded: 2021
• Website Link: https://www.infostrux.com/

16. Datatonic

Datatonic is a London data and AI consultancy that works on Google Cloud. It was named Google Cloud Partner of the Year for Data + Analytics in EMEA in 2025.

• Location: London, UK
• Main Services: data and AI platforms, cloud data migration, Looker BI, marketing analytics, generative AI, managed services
• Technology Stack: Google Cloud, BigQuery, Looker, Gemini
• Team Size: 201-500 employees
• Year Founded: 2013
• Website Link: https://datatonic.com/

17. Advancing Analytics

Advancing Analytics is a London Databricks specialist with Gold Brickbuilder status. It speeds up lakehouse projects with its own accelerators, such as LakeForge and the SunBeam data product framework.

• Location: London, UK
• Main Services: Databricks lakehouse builds, data strategy, forward-deployed engineering, managed services, training
• Technology Stack: Databricks (Gold), Microsoft (Data & AI Solutions Partner), AWS, Google Cloud, Dataiku
• Team Size: 51-200 employees
• Year Founded: 2018
• Website Link: https://www.advancinganalytics.co.uk/

18. Infinite Lambda

Infinite Lambda is a London data engineering consultancy that builds modern data platforms and moves legacy ETL to them with its own tool, Flowline. The company is a certified B Corp.

• Location: London, UK
• Main Services: modern data platforms, legacy ETL migration, BI modernisation, semantic layers, enterprise AI agents
• Technology Stack: Snowflake, dbt, Fivetran, Omni
• Team Size: 51-200 employees
• Year Founded: 2019
• Website Link: https://infinitelambda.com/

19. The Information Lab

The Information Lab is a London analytics consultancy built around Tableau and Alteryx. It also runs The Data School, a programme that trains new data analysts through client placements.

• Location: London, UK
• Main Services: Tableau and Alteryx analytics, data engineering, training, licensing and hosting
• Technology Stack: Tableau, Alteryx, dbt, Snowflake, AWS
• Team Size: 51-200 employees
• Year Founded: 2010
• Website Link: https://www.theinformationlab.co.uk/

20. Snap Analytics

Snap Analytics is a Bristol firm that specializes in getting SAP data into cloud platforms where it can be analyzed. It also works from offices in Cape Town and Pune.

• Location: Bristol, UK
• Main Services: data strategy, data platform builds, SAP data to cloud, AI use cases, managed services
• Technology Stack: Snowflake, Databricks, SAP, Matillion, dbt, Fivetran, AWS, Microsoft, Sigma
• Team Size: 51-200 employees
• Year Founded: 2019
• Website Link: https://www.snapanalytics.co.uk/

21. Rittman Analytics

Rittman Analytics is a small Brighton team that implements data platforms on Google Cloud, Looker and dbt. It also helps companies modernize the way their internal data teams work.

• Location: Brighton, UK
• Main Services: data platform implementation, data warehouse migration, data team modernisation, embedded analytics, generative AI
• Technology Stack: Google Cloud, Looker, dbt, Cube, Dagster, Snowflake, Fivetran
• Team Size: 10-49 employees
• Year Founded: 2016
• Website Link: https://rittmananalytics.com/

22. Tasman Analytics

Tasman Analytics works as an interim data team for its clients, with a "hire us to fire us" approach: the goal is to set things up so the client can run them alone. The team works from London and Amsterdam.

• Location: London, UK
• Main Services: interim data team, data strategy and architecture, data infrastructure and migrations, analytics and reporting, AI applications
• Technology Stack: Tool-agnostic
• Team Size: 10-49 employees
• Year Founded: 2016
• Website Link: https://www.tasman.ai/

23. 173Tech

173Tech is a compact London team that acts as a fractional data department for its clients. It covers everything from the first data platform to revenue, marketing and product analytics.

• Location: London, UK
• Main Services: data strategy, data platform builds, data products, data migration, revenue, marketing and product analytics
• Technology Stack: Technology-agnostic
• Team Size: 2-10 employees
• Year Founded: 2019
• Website Link: https://173tech.com/

24. Lynchpin Analytics

Lynchpin is an Edinburgh analytics firm, independent since 2005, that focuses on digital and marketing analytics. It is vendor-neutral and does not resell tools.

• Location: Edinburgh, UK (office in London)
• Main Services: digital analytics (GA4, Adobe), marketing mix modelling and attribution, customer segmentation and forecasting, BI, data integration and automation
• Technology Stack: Vendor-neutral
• Team Size: 10-49 employees
• Year Founded: 2005
• Website Link: https://www.lynchpin.com/

25. Xomnia

Xomnia is an Amsterdam data and AI consultancy founded in 2013. Besides cloud data platforms, it offers an EU cloud option for companies that need to keep data in Europe.

• Location: Amsterdam, Netherlands
• Main Services: data and AI strategy, cloud data platforms, analytics engineering, agentic AI, EU cloud
• Technology Stack: Azure, AWS, Polars
• Team Size: 51-200 employees
• Year Founded: 2013
• Website Link: https://xomnia.com/

26. Unit8

Unit8 is a Swiss data and AI firm that builds platforms and runs them in production with MLOps. It also has a dedicated Palantir Foundry practice.

• Location: Lausanne, Switzerland
• Main Services: data and AI consulting, data and AI platforms, platform operations and MLOps, generative AI, Palantir Foundry services
• Technology Stack: Palantir, Databricks, Snowflake, AWS, Microsoft
• Team Size: 51-200 employees
• Year Founded: 2017
• Website Link: https://unit8.com/

27. Datapao

Datapao is a Databricks Gold partner with hubs in the UK, Spain and Hungary. It builds and migrates Databricks platforms and trains client teams to use them.

• Location: London, UK (hubs in Spain and Hungary)
• Main Services: data platform builds and migrations, AI engineering, architecture reviews, Databricks training
• Technology Stack: Databricks (Gold), Azure
• Team Size: 51-200 employees
• Year Founded: 2016
• Website Link: https://datapao.com/

How to Choose a Data Analytics Company

Start with the problem, not the tool. A team that is great at Power BI dashboards may not be the right one to migrate a decade of SAP data to the cloud, and a Databricks specialist may be overkill if you need clean monthly reporting.

A few practical checks:

• Match the stack. If you already run on Snowflake, Databricks, Google Cloud or Microsoft Fabric, look for partners with official status on that platform.
• Ask about data management. Good data management consulting services cover data quality, governance and ownership, not only pipelines and dashboards. Without them, reports drift and AI projects stall.
• Check how they hand over. You need documentation, tests and a team on your side that can maintain what was built.
• Start small. Run a paid discovery or a single data product first. It shows how the team works with your people and your data before you commit to a long engagement.

FAQ

What does a data analytics company do?

A data analytics company helps a business collect, clean, store and analyze its data. Typical work includes building data pipelines and warehouses, setting up dashboards and reports, introducing data governance, and preparing data for machine learning and AI.

What is the difference between data analytics companies and big data consulting firms?

Data analytics companies usually focus on reporting, business intelligence and analysis of business data. Big data consulting firms work on the underlying platforms that store and process large, fast-changing data sets. In practice, many firms on our list do both.

How much does data analytics consulting cost?

It depends on the scope, the size of the team and the engagement model. The most reliable way to get a number is a short discovery phase: the team reviews your data sources and goals and gives a scoped estimate.

How do I choose a data analytics consulting partner?

Look for proven experience with your data platform and industry, ask for case studies with measurable results, and start with a short discovery phase. Check how the team handles data quality, security and knowledge transfer.