Overview
Polaris IT Solutions Inc.
is looking for its first dedicated data hire – a versatile professional who can own the entire data lifecycle.
This hybrid role combines the technical foundation of a Data Engineer with the business-driven insights of a Data Analyst.
You’ll build the data platform, define key metrics, and turn raw data into actionable insights that directly influence product, marketing, and strategic decisions.
Must-Have Skills
- SQL
- Python (for Data Pipelines & ETL/ELT)
- Data Governance & Compliance
Responsibilities
- Build and maintain end-to-end data pipelines and infrastructure.
- Define, track, and report on critical business metrics and KPIs.
- Develop dashboards and communicate insights across the organization.
- Implement data governance, quality, and compliance standards.
- 3+ years in a data-focused role (Analyst, Engineer, or similar).
- Proficiency in SQL and data modeling.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure).
- Experience with BI tools (Tableau, Power BI, Looker, etc.).
- Workflow orchestration (Airflow or similar).
- Experience with data governance/catalog tools (dbt, Apache Atlas).
- Knowledge of A/B testing and statistical methods.
- Background in B2B SaaS or e-commerce.
Detailed Job Description
As a Data Engineer (The Builder):
- Build the Data Platform: Design, build, and maintain end-to-end ETL/ELT pipelines.
- Architect the Infrastructure: Select and implement core data infrastructure (cloud data warehouse, data lake).
- Ensure Data Integrity: Create robust data quality checks, monitoring, and governance standards.
- Manage Data Sources: Connect and manage data from APIs, databases, and event logs.
As a Data Analyst (The Insight Generator):
- Drive Business Decisions: Perform deep-dive analyses to uncover trends and opportunities.
- Define and Track Metrics: Partner with teams to define and monitor KPIs.
- Create Dashboards & Reports: Build and maintain BI dashboards for company-wide accessibility.
- Present Findings: Translate complex analyses into clear, actionable business recommendations.
As a Data Governance & Lineage Lead (The Guardian):
- Establish Data Governance: Define ownership, standards, and access policies.
- Manage Data Lineage: Document and maintain data lineage for transparency and trust.
- Ensure Compliance: Implement foundational data security and privacy protocols.
Must-Have Requirements
- 3+ years of professional experience in data-focused roles.
- Strong SQL proficiency for analysis and modeling.
- Solid Python skills for data pipeline development.
- Hands-on experience with AWS, GCP, or Azure.
- Familiarity with data warehousing concepts and tools.
- Proficiency with BI tools such as Tableau, Power BI, or Looker.
- Excellent communication skills for both technical and business audiences.
Nice-to-Have Requirements
- Experience with Airflow or other orchestration tools.
- Familiarity with dbt, Apache Atlas, or data governance tools.
- Knowledge of A/B testing and statistical methods.
- Background in B2B SaaS or e-commerce environments.
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