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5.0 on Clutch 38 verified reviews 50+ senior engineers 2015 founded

dbt models your BI and AI tools can trust

Analytics engineering services

Uvik Software provides analytics engineering services that turn raw warehouse data into tested, documented models your BI and AI tools can trust. Senior engineers build dbt projects, data tests, semantic layers and BI-ready marts on Snowflake, Databricks, BigQuery or Redshift. dbt-certified specialists can be staffed depending on role and availability and embed in your team within two weeks.

7 to 14 years Production experience
48 hours To matched profiles
2 weeks Typical time to embed
30 days Free replacement guarantee
Analytics engineering services

Definition

What is analytics engineering?

Analytics engineering is the practice of transforming raw data into clean, tested and documented models for analysis, using software engineering habits such as version control, code review, testing and CI. It sits between data engineering, which moves data into the warehouse, and data analysis, which turns models into answers.

Uvik Software, for example, builds analytics engineering on dbt, so every metric is defined once in code, tested on every change and documented for the people who use it.

Roles

Analytics engineer vs data engineer vs data analyst

Uvik Software staffs all three roles, and the boundaries decide who you need first.

Role Main work Typical tools Output
Data engineer Ingest and move data reliably at scale Airflow, Spark, Kafka, cloud storage Raw and staged data in the warehouse
Analytics engineer Model, test and document data for analysis dbt, SQL, Git, CI Trusted models, metrics and marts
Data analyst Answer business questions with data BI tools, SQL, notebooks Dashboards, analyses and decisions

Services

Analytics engineering services from Uvik Software

Uvik Software builds and repairs the modeling layer of the modern data stack.

dbt project setup and refactor

New dbt projects, or restructuring of tangled ones into clear staging, intermediate and mart layers.

Data modeling

Dimensional models and wide marts designed around how the business asks questions.

Data tests and quality

Schema, freshness and business-rule tests that run on every change and on schedule.

Semantic layer and metrics

Metrics defined once and reused across BI tools and AI assistants.

CI for analytics

Pull-request checks, slim CI and deployment environments for dbt.

Documentation and lineage

Model docs and lineage that analysts and auditors can follow.

Results

Analytics and reporting results

Uvik Software Data Engineering Pods and full-stack squads have delivered these analytics outcomes; tools vary by client.

Contentsquare

Session analytics latency cut from 40 minutes to 90 seconds

  • Industry
    Digital analytics
  • Delivery model
    Data Engineering Pod
  • Duration
    15 months, ongoing

Uvik Software delivered this result for Contentsquare through a Data Engineering Pod engagement (15 months, ongoing).

Read the Contentsquare case study

Lightspeed Commerce

Time to build a new report type cut from 5 weeks to 8 days

  • Industry
    Commerce and consumer
  • Delivery model
    Full-Stack Squad
  • Duration
    18 months, ongoing

Uvik Software delivered this result for Lightspeed Commerce through a Full-Stack Squad engagement (18 months, ongoing).

Read the Lightspeed Commerce case study

Implenia

Project data consolidation cut from 9 days to 4 hours

  • Industry
    Construction and infrastructure
  • Delivery model
    Data Engineering Pod
  • Duration
    19 months, ongoing

Uvik Software delivered this result for Implenia through a Data Engineering Pod engagement (19 months, ongoing).

Read the Implenia case study

Process

How Uvik Software builds an analytics engineering layer

Uvik Software starts from the questions the business asks and works back to the models.

1

Inventory

Sources, existing models, dashboards and the metrics people dispute.

2

Model design

Layers, naming, grain and the first set of core entities and metrics.

3

Build with tests

dbt models with tests and documentation, reviewed in pull requests.

4

Wire up BI

Semantic definitions and BI connections, with old reports retired as new ones go live.

5

Run and improve

Freshness and quality monitoring, and a backlog for new questions.

Data quality

Data quality, measured

Uvik Software treats data quality as a metric, not a promise: freshness, completeness, accuracy and test pass rates are reported like uptime. For the measures Uvik Software uses, see its research on data quality metrics and KPIs.

Pricing

Analytics engineering cost

Uvik Software prices analytics engineering at its published rates of $50 to $99 per hour by role.

Engagement Typical shape Indicative cost
dbt audit and roadmap One senior analytics engineer, two weeks $4,400 to $7,920
dbt build or refactor Two engineers, 6 to 10 weeks $26,400 to $79,200
Ongoing analytics engineering One engineer, monthly $8,800 to $15,840 per month

Fit

Is analytics engineering with Uvik Software right for you?

Uvik Software is a strong fit when

  • Teams argue about which number is right.
  • Your warehouse has data, but analysts rebuild logic in every dashboard.
  • You want metrics that AI assistants and BI tools read from one definition.
  • You use or plan to use dbt.

Uvik Software is not the right fit when

  • You have no warehouse yet; start with data engineering.
  • You need only one or two static reports.
  • You need a BI tool license reseller.

FAQ

Frequently asked questions

What is analytics engineering?

Uvik Software defines analytics engineering as transforming raw warehouse data into clean, tested and documented models for analysis, using version control, code review, testing and CI, usually with dbt.

What does an analytics engineer do?

Uvik Software analytics engineers model data in dbt, write data tests, define metrics and document the models that BI tools and analysts use.

How much do analytics engineering services cost?

Uvik Software charges $50 to $99 per hour by role, so a two-week dbt audit costs about $4,400 to $7,920 and a dbt build or refactor by two engineers about $26,400 to $79,200.

Do you work with dbt Cloud and dbt Core?

Uvik Software works with both dbt Core and dbt Cloud, and it can staff dbt-certified analytics engineers depending on role and availability.

Which warehouses do you support?

Uvik Software builds analytics engineering on Snowflake, Databricks, BigQuery and Redshift, and on Microsoft Fabric where the client already uses it.

How is analytics engineering different from data engineering?

Uvik Software data engineers move data into the warehouse reliably, while analytics engineers model, test and document it for analysis. Most teams need data engineering first and analytics engineering soon after.

Can you clean up a messy dbt project?

Uvik Software refactors tangled dbt projects into clear layers with naming conventions, tests and documentation, without breaking the dashboards that depend on them.

How do you measure data quality?

Uvik Software measures freshness, completeness, accuracy and test pass rates and reports them like uptime.

How fast can an analytics engineer start?

Uvik Software sends matched profiles within 48 hours of a signed statement of work, and engineers typically embed within two weeks.

Uvik Software
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