MyITPathExplore. Learn. Evolve.
fren
Data & AI

Analytics Engineer

Builds the transformation layer that turns raw data into reliable, modelled datasets.

Experience level: IntermediateCoding level: HighTechnical difficulty: 78/100

Builds the transformation layer that turns raw data into reliable, modelled datasets.

Entry

Intermediate

Coding

High

Key skills

SQL & data modellingdbtData quality testingVersion control (Git)
Explore career path Compare careers

Career overview

The Analytics Engineer sits between data engineering and analytics: they build the transformation layer (dbt, SQL), version-control models, test data quality and document metrics so analysts and BI tools trust the data. The role leads to Data Engineer, Data Architect or BI Architect positions.

Main responsibilities

  • Model and maintain the data warehouse
  • Guarantee data quality, freshness and lineage
  • Model and query relational databases
  • Build and maintain CI/CD pipelines
  • Keep technical documentation up to date
  • Prepare and execute change requests in production
  • Analyse application logs to identify root causes
  • Mentor junior team members and review their work
  • Automate recurring tasks with scripts
  • Create data visualisations and stories

Technical skills

SQL & data modelling90%
dbt88%
Data quality testing85%
Version control (Git)85%
CI/CD for data78%
Python72%
Metric layer / semantics82%
Documentation80%

Technologies

dbtSQLSnowflakeBigQueryRedshiftPostgreSQLPythonGitAirflowLookerPower BITableauDockerGitHub ActionsGitLab CIGreat ExpectationsMonte CarloJupyterPrefect

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty78%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • dbt Analytics Engineering Certification
  • Google Professional Data Engineer
  • Microsoft DP-600 Fabric Analytics Engineer

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Direct progression

Analytics EngineerData Engineer

Possible branches

Data ArchitectBI Architect
Where Can Your IT Career Take You?

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Data EngineerMedium

Overlap: 48% · Difficulty: Easy

Skills to learn: SQL, Orchestration (Airflow), Spark / distributed processing

View roadmap

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

  1. Junior Data Analyst
  2. Analytics Engineer
  3. Data Engineer
  4. Data Architect
  5. Enterprise Architect
  6. CTO
Soft skills
  • Rigour and attention to detail
  • Analytical thinking
  • Clear communication
  • Teamwork
  • Technical curiosity
  • Sense of ownership
Common previous careers

Roles that frequently lead into this career.

Junior Data Analyst

Continue your career exploration

Keep moving: compare roles, follow a roadmap, read a guide or prepare for an interview.

Compare

Compare Analytics Engineer with other roles

Open comparison

Next step

The path to Data Engineer

View roadmap

Ready to explore your next step?

A documented transition from this role to the next.

Analytics EngineerData Engineer

Explore this career path

Keep exploring

Compare this role with others, or check which career fits you best.

CompareFind My IT Career