Senior Analytics Associate — Build Data Pipelines & Insights

Inroads; Washington (District of Columbia); On-site; USD 67,500 - 82,500; Full time

Benefits offered by this job

Health, dental, and vision insurance

401K matching

Unlimited paid time off

Professional development stipend

Flexible working hours

Job summary

Inroads in Washington, DC is seeking a Senior Associate, Analytics to enhance federal contracts aimed at improving healthcare access. You will work with analysts and engineers to create SQL data models, implement quality checks, and manage data pipelines to ensure reliable information for clients. The position is integral to transforming raw data into actionable insights, requiring strong skills in SQL and data modeling.

Successful candidates will have a deep understanding of data manipulation and a passion for contributing to social missions, alongside competitive benefits including health insurance and flexible hours.

Qualifications

• 2+ years of applied experience working with structured/unstructured data.
• Strong understanding of manipulating data using dbt, SQL, and Python.
• Experience optimizing data models for query efficiency.

Responsibilities

• Create SQL-based data models in dbt.
• Collaborate with analytics and product stakeholders.
• Implement data quality checks.
• Design and maintain dashboards and reports.
• Investigate data discrepancies.

Skills

Data analysis

SQL

Data modeling

Python

dbt

Agile methodologies

Education

Undergraduate degree in a quantitative field

Tools

Snowflake

Google BigQuery

AWS Redshift

Tableau

Job description

Inroads in Washington, DC is seeking a Senior Associate, Analytics to enhance federal contracts aimed at improving healthcare access. You will work with analysts and engineers to create SQL data models, implement quality checks, and manage data pipelines to ensure reliable information for clients. The position is integral to transforming raw data into actionable insights, requiring strong skills in SQL and data modeling.

Successful candidates will have a deep understanding of data manipulation and a passion for contributing to social missions, alongside competitive benefits including health insurance and flexible hours.