Data Analyst (Data Quality)

Aliancers

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Remote

Tech stack

Data analysis

Big Data

Google BigQuery

Data Validation

Data Governance

Data Integrity

Data Transformation

Data Warehousing

Google Analytics

Python

Marketing

Power BI

Mixpanel

BIG-IP Global Traffic Manager (GTM)

SQL Databases

Tableau

Usage Analysis

Snowflake

Pandas

Data Analytics

Data Inconsistencies

Looker Analytics

Job description

This role is ideal for someone who enjoys working at the intersection of data quality, product analytics, and marketing performance, ensuring that data is accurate, consistent, and actionable across platforms.

Design KPI models and build dashboards using tools such as Power BI, Looker, or Sigma
Validate analytics tracking across GA4, GTM, and data warehouse environments
Identify and resolve data inconsistencies, ensuring end-to-end data integrity
Develop automated data validation and QA processes using SQL and Python
Reconcile metrics across BI tools, CRM systems, and marketing platforms
Analyze product and marketing data to generate actionable insights
Document QA processes and support continuous improvement initiatives
Collaborate with Product, Marketing, Data, and Engineering teams

Requirements

3-6 years of experience in data analytics, preferably in product, growth, or marketing environments
Strong experience with SQL and working with large datasets
Experience with Python (Pandas or similar) for data analysis or validation
Familiarity with GA4, GTM, or digital tracking frameworks
Experience building dashboards using tools such as Power BI, Tableau, Looker, or similar
Understanding of data quality processes, validation, and data reconciliation
Strong analytical and problem-solving skills
Ability to communicate insights clearly to both technical and non-technical stakeholders
Advanced English level
Experience with data warehouses (Snowflake, BigQuery, etc.)
Familiarity with dbt or data transformation tools
Exposure to experimentation or product analytics
Experience with tools such as Amplitude, Mixpanel, or CDPs
Knowledge of governance tools or data quality frameworks
A detail-oriented profile with a strong focus on data accuracy and consistency
A proactive and analytical mindset
Someone comfortable working across teams and translating data into insights
A structured and organized professional who enjoys solving complex data challenges