Product Analyst

8 Months ago • 2 Years +

Job Summary

Job Description

As a BI Analyst, you will be responsible for creating, maintaining, and optimizing Business Intelligence (BI) solutions. This involves collaborating with internal teams and external stakeholders to ensure accurate data reporting, operational efficiency, and actionable insights. You will build and maintain ETL pipelines, develop and optimize data models, ensure data quality, create interactive BI dashboards, collaborate with teams to define KPIs, and optimize existing BI solutions. You should be familiar with product analytics.

Must have:

2+ years of experience in Data Engineering or Technical Analytics.
Extensive experience with ETL pipeline development using Apache Airflow.
Understanding of data governance and best practices.
Proven experience with BI tools for building dashboards.
Extensive experience with SQL and Python.

Good to have:

Familiarity with cloud platforms (GCP, AWS, or Azure).
Familiarity with Agile methodologies.
Experience with product analytics.

14 skills required

14 skills required for this role

Add these skills to join the top 1% applicants for this job

microsoft-azure

looker

amazon-web-services

azure

aws

python

sql

sisense

google-cloud-platform

power-bi

business-intelligence

agile-development

scalability

problem-solving

Job Details

Job Snapshot

We are seeking a dynamic and analytical BI Analyst to join our team. In this role, you will be responsible for building, maintaining, and optimizing Business Intelligence (BI) solutions, working closely with both internal teams and external stakeholders. This role requires collaboration across departments to ensure accurate data reporting, operational efficiency, and actionable insights. A strong understanding of product-related metrics is a plus, as you will help define and track key metrics that drive business performance.

What’s in it for you?

Key Responsibilities:Build and maintain ETL pipelines using Apache Airflow to streamline data integration of various first-party and third-party sources , with cloud databases on Snowflake.
Develop & Optimize Data Models and Optimize performance using SQL, Python scripting.
Ensure data quality and accuracy through Synthetic testing & Real User Monitoring.
Perform regular audits, validation checks, and troubleshooting.
Document processes, reporting logic, and data models to ensure consistent and reliable reporting.
Develop and implement interactive BI (Power BI, Sisense, Quicksight, Looker) dashboards to visualize business insights for internal teams and external stakeholders.
Collaborate with Analytics, Product & Engineering, teams to define key performance indicators (KPIs) ensuring alignment with business goals.
Optimize existing BI solutions and infrastructure to support scalability and evolving data needs.

We’d love to hear from you, if you:

2+ years of experience in a Data Engineering, and Technical Analytics role.
Extensive experience with ETL pipeline development using Apache Airflow or similar tools.
Understanding of data governance and best practices for data quality and governance in cloud based platforms.
Proven experience with BI tools for building dashboards, data models, and reports, at least 1 of Power BI, Sisense, Quicksight.
Extensive experience SQL and Python for querying and managing relational databases.
Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure for managing data pipelines.
Familiarity with Agile methodologies for managing iterative project development.
Experience with product analytics to help define metrics around product usage, adoption, and retention.