Manager I, Analytics Engineering

Inroads•Washington, DC

About The Position

This role supports analytics functions for high-profile U.S. Government digital services used by millions of Americans. Working with analysts, developers, engineers, managers, designers, and client stakeholders, the Manager I, Analytics Engineering helps streamline customer journey reporting by configuring repeatable data workflows and data transfers, and ensures critical front- and back-end features are measurable. The role uses log monitoring tools such as Splunk or CloudWatch, data warehouse and storage software (with a strong preference for Databricks), AWS or Azure cloud data processing, and common API inputs and outputs. The successful candidate designs and orchestrates data workflows; supports accurate, streamlined reporting; creates workflows between cloud and on-premises environments that ultimately land in Databricks for reporting through Power BI; and implements workflow efficiencies as client priorities and program features change. The role also collaborates with client technical teams to investigate discrepancies and adapt data models for consistent cross-team reporting. The position requires U.S. citizenship and the ability to attain and maintain a Federal Public Trust security clearance as required by government clients. Inroads describes its environment as friendly, supportive, and collaborative, and offers flexible working hours.

Requirements

An undergraduate degree plus at least 4 years of progressive experience analyzing data or supporting analytics workflows, or at least 6 years of highly relevant experience without an undergraduate degree.
Foundational understanding of customer journey mapping for a high-volume, consumer-facing web application.
Experience working with production program data in Databricks, Snowflake, Redshift, BigQuery, or another data warehousing software.
Comfort providing a technical perspective during solutioning sessions to meet data processing, reporting, or other analytics goals objectively.
A track record of deriving data processing requirements from product designs, business goals, and other high-level or less technical guidelines.
Advanced proficiency using SQL, Python, or R to inspect and manipulate datasets.
Ability to attain and maintain a Federal Public Trust security clearance, as required by government clients.
U.S. citizenship.

Nice To Haves

Experience supporting a federal, state, or local government contract, especially a digital service.
Experience supporting an e-commerce or similar team focused on optimizing online conversions.
Query language experience with log monitoring software such as Splunk, CloudWatch, or New Relic.
Experience interacting with API inputs and outputs and interpreting release notes for mission-critical information.
Experience working in an Agile development environment.

Responsibilities

Design and orchestrate data workflows using the role’s analytics and technology stack.
Support analytics for a high-profile service relied on by millions of Americans annually.
Work with cross-disciplinary teams to achieve accurate, streamlined reporting for a government client.
Develop repeatable data workflows between cloud and on-premises environments, landing data in Databricks for reporting access through Power BI.
Implement workflow efficiencies that accommodate new features and changes in client priorities.
Collaborate with client technical teams to investigate discrepancies and modify data models for consistent cross-team reporting.
Help streamline customer journey reporting and ensure critical front- and back-end features are measurable.