- Build the Data Platform: Design, build, and maintain our end-to-end data pipelines (ETL/ELT), ensuring data is extracted, cleaned, and loaded reliably from various sources into our data warehouse.

- Architect the Infrastructure: Choose and implement our core data infrastructure, including our cloud

data warehouse (e.g., Snowflake, BigQuery) and data lake.

- Ensure Data Integrity: Develop and implement robust data quality checks and monitoring to ensure the accuracy, consistency, and reliability of our data in line with governance standards.

- Manage Data Sources: Connect to and manage data from a variety of sources, including third-party APIs, application databases, and event logs.

As a Data Analyst (The Insight Generator) :

- Drive Business Decisions: Proactively identify and answer key business questions using data. Perform deep-dive analyses to uncover trends, opportunities, and risks.

- Define and Track Metrics: Partner with product, marketing, and leadership teams to define and track critical business metrics and KPIs.

- Create Dashboards & Reports: Build and maintain clear, compelling dashboards and reports in our Business Intelligence (BI) tool to make data accessible to the entire organization.

- Present Findings: Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner.

As a Data Governance & Lineage Lead

- Establish Data Governance: Lay the groundwork for our data governance program by defining core data ownership, quality standards, and access policies.

- Manage Data Lineage: Document and manage the data lineage from our source systems to our reports and dashboards to ensure data traceability and trust.

- Ensure Compliance: Help establish foundational security and privacy protocols for our data assets.

Required Qualifications :

- 3+ years of professional experience in a data-focused role (Data Analyst, Data Engineer, or similar).

- Strong proficiency in SQL for data analysis and modeling.

- Hands-on experience with a major cloud platform (AWS, GCP, or Azure).

- Experience in building and maintaining data pipelines using a scripting language like Python.

- Familiarity with data warehousing concepts and technologies (e.g., columnar databases, star schema).

- Experience with a BI tool such as Tableau, Power BI, Looker, or similar.

- Excellent communication skills with the ability to bridge the gap between technical data and business strategy.

Bonus Skills (Nice to Have) :

- Experience with a workflow orchestration tool like Airflow.

- Experience with a data governance or data catalog tool (e.g., dbt, Apache Atlas).