Data Analyst
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Role
We are looking for a pragmatic and curious Analytics Engineer to sit at the intersection of data engineering and data this role you will be the bridge between our raw data and the business stakeholders who need it.
You wont just be building pipelines; you will be responsible for defining how the business looks at data. You will bring data engineering best practices to our analytics stack and ensure that our data models are clean reliable and performant.
Key Responsibilities
- Data Modeling & Transformation: Build and maintain high-quality data models using dbt and SQL. Transform raw data into clear accessible datasets (Data Marts) that power our analytics.
- The Business/Tech Bridge: Act as a translator. collaborate with Data Analyst who works with Product Marketing Finance teams to understand their business logic and turn vague business requirements into concrete technical implementations.
- Tooling & Automation: Use Python to automate repetitive tasks build custom connectors or enhance orchestration workflows.
- BI Enablement: Optimize data specifically for Tableau. Ensure that the data structure supports performant dashboards and intuitive exploration for end-users.
- Quality Assurance: Implement testing frameworks (within dbt) and CI/CD pipelines to ensure data accuracy. You will be the gatekeeper of data quality.
- Documentation: Maintain a data dictionary and documentation to ensure stakeholders understand the metrics they are looking at.
Qualifications :
Hard Skills & Qualifications
To be successful in this role you need a strong technical foundation:
- SQL Mastery: You write advanced efficient and readable SQL. You understand window functions complex joins and query optimization.
- DBT Experience: Proven experience using dbt (data build tool) to deploy data models. You understand snapshots incremental models and jinja templating.
- Python Proficiency: Ability to write clean Python code for data manipulation or orchestration tasks.
- BI Tool Knowledge (Tableau): You dont need to be a dashboard wizard but you must understand how Tableau consumes data (extracts vs. live data blending) to model the data effectively upstream.
- Data Warehousing: Experience with modern cloud warehouses (e.g. Snowflake BigQuery or Redshift).
- Version Control: Comfortable using Git for collaboration and code versioning.
Soft Skills & Mindset
We are looking for someone who possesses the following behavioral traits:
- Business Acumen: You dont just build what is asked; you ask why. You understand the underlying business mechanics (revenue drivers churn user lifecycles) and design your data models to reflect reality.
- Communication: You can explain complex technical constraints to non-technical stakeholders and explain business logic to engineers.
- Empathy for the End-User: You build tables with the final analyst in mind. You care about column naming conventions and usability.
- Curiosity & Problem Solving: You love digging into a data discrepancy to find the root cause rather than applying a band-aid fix.
- Autonomy: You can take a vague requirement (We need to understand customer retention) and drive it to a deployed solution with minimal hand-holding.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
METRO is a leading international wholesale company with food and non-food assortments that specialises in serving the needs of hotels, restaurants and caterers (HoReCa) as well as independent traders. Around the world, METRO has 15 million customers who can choose whether to shop in o ... View more
