We are seeking a versatile and proactive individual to be our first dedicated data hire.
This is a unique opportunity to own the entire data lifecycle, from building the foundational infrastructure to transforming raw data into actionable business insights. You will be a hybrid of a data engineer and a data analyst, laying the groundwork for our future data strategy and directly influencing our product, marketing, and business decisions.
Key Responsibilities:
As a Data Engineer (The Builder):
● 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 (The Guardian):
● 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.
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).
● Familiarity with data governance principles and best practices.
● Experience in a B2B SaaS or e-commerce environment.
● Knowledge of basic statistical methods and A/B testing principles.
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