Data Strategist

Data Infrastructure Development

We are seeking a highly skilled Data Strategist to design, build, and maintain scalable data pipelines and ETL processes to ensure the integrity and efficiency of data flow from various sources to our data warehouse.

Data Integration

The ideal candidate will collaborate with cross-functional teams to integrate and consolidate data from multiple systems, databases, and external sources.

Data Modeling

As a Senior Analytics Professional, you will model, build, and iterate on the data model used to combine and refine the raw data obtained into usable data products.

Analytics and Reporting

You will create and optimize dashboards, reports, and visualizations to provide actionable insights and support data-driven decision-making across the organization.

Performance Optimization

The successful candidate will monitor and optimize the performance of data systems and queries to ensure high efficiency and reliability.

Data Quality and Governance

You will implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance with relevant standards and regulations.

Collaboration

As a Business Intelligence Architect, you will work closely with business users to gather requirements and deliver analytics solutions that meet their needs.

Documentation

You will document and expose data assets in a way that is easy to understand and use for internal stakeholders, enabling self-service analytics and ensuring a single source of truth for analytics.

Qualifications

The ideal candidate will have several years of experience as a Data Analyst, Business Intelligence Associate, Data Engineer, or similar role.

They will have the ability to write and optimize complex SQL queries with ease.

Experience with data visualization tools such as Tableau, Power BI, Astrato, or similar is required.

Excellent communication skills with the ability to present complex information clearly and concisely are essential.

Nice to Have

Hands-on experience with Snowflake, and data transformation tools such as dbt, Airbyte, Hightouch is a plus.

A Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field is required.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy are necessary.

Ability to work independently and collaboratively in a fast-paced environment is essential.

Proficiency in writing Python code and experience with version control and CI/CD best practices is required.

Experience with machine learning techniques and predictive modeling is a plus.