Senior Analytics BSA

Location: Beaverton, OR

Hybrid: Mon – Thurs in office, Fri remote

Target Start Date: February 2025

Contract End Date: May 2025 (potential to extend)

Pay: up to $70/hr

Project

The Global Places and Services (GPS) function is focused on making location a strategic advantage for the company, leveraging the Data Foundation platform architecture to build data products and data sets for GPS and the Enterprise.

Description of Services .

Contractor will provide a dedicated, full-time (40 hours/week) senior business system analyst who will provide data and source system analysis and documentation for GPS; defining and documenting requirements for data products and data sets to be build / enhanced in technologies

such as Snowflake and Databricks.

Specifically, the Contractor will:

• Drive use case and requirements gathering and analysis for the ingestion and integration of core

data domains to be leveraged by Business Intelligence / Advanced Analytics /Operational teams

to gain insights on company successes and opportunities and improve operational efficiencies.

• Propel analytics through robust data comprehension, solution requirements, source system to

target system mappings, data flow modeling, and cross-functional partnership for solution

delivery.

• Marry data architecture design to direct business process evolution.

• Prioritize and manage backlog in tight coordination with the Product Owner, who will set release

scope and prioritize key deliverables.

• Perform reverse engineering to understand and evolve an existing solution.

• Research critical source system(s)/service(s) to automate ingestion, educating teammates on

Contractor’s robust knowledge of business data requirements and business processes.

The Contractor will deliver work along these lines (Key Deliverables):

• Requirements and Use Case documentation for data engineering development.

• Source to Target Mappings.

• Data Product and Data Set Requirements.

• Test Cases for functional, scenario and user acceptance.

• Data Dictionary (business and technical).

• Documentation around process and data flow mapping.

• Input to guidelines, data governance structure, and standards.

• Input to Data Quality & Audit process and standards.

• Analysis of data validation and cleansing in systems.

• API and Consumption Layer Requirements.

A successful Contractor will:

• Meet the deliverables assigned (such as key deliverables mentioned above).

• Be able to work independently.

• Embrace and understand Agile methodology.

• Embrace and learn about Databricks environment.

• Understand how to navigate in grey areas (not everything is clearly defined).

• Adjust to new stakeholders when they are identified (e.g. during intake/requirements

gathering).

• Learn with architect and engineers as we engage in a new technology

platform/architecture (SOLE Databricks).

• Work across a solutions team that is a mix of teammates from differing functions and

located in different places around the world.