Data Analyst

Cayuse Holdings is hiring a Data Analyst to develop and optimize data pipelines, ETL processes, and database structures supporting IRS compliance activities. The role integrates data sources, improves data quality and accessibility, and prepares analytical models and data solutions for agency deployment.

Responsibilities

Meets with Government clients to understand business needs, define data engineering and analysis objectives, identify data sources, and develop robust data integration and processing workflows

Design and implement data pipelines, ETL processes, and database structures to automate and scale data analysis solutions for client needs

Perform data cleaning, transformation, and exploratory analysis to ensure data integrity and readiness for reporting and machine learning applications

Work with teams of data scientists and software engineers to build scalable, reliable data pipelines to enable machine learning models and business intelligence applications

Develop and maintain models and views for seamless data access, visualization, and analysis

Optimize data storage, indexing, and query performance to support efficient decision making, and present findings and solutions to clients

Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds

Takes ownership of tasks and develops high-quality work products with minimal supervision

Other duties as assigned

Preferred

Demonstrable experience with distributed data processing frameworks such as Spark or Hadoop preferred

Familiarity with statistical programming languages such as SAS, R, or Stata is helpful

Distributed Data Processing

Apache Spark

Hadoop

Statistical Programming

SAS

R

Stata

Benefits

Medical, Dental and Vision Insurance

Wellness Program

Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Short-Term and Long-Term Disability options

Basic Life and AD&D Insurance (Company Provided)

Voluntary Life and AD&D options

401(k) Retirement Savings Plan with matching after one year

Paid Time Off

Remote work

Company

IT services for government, commercial, and tribal clients

Pendleton, Oregon, USA

https://www.cayuseholdings.com/

Founded in 2018

501-1000 employees

Qualifications

Bachelor's in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience

2–5 years of experience in data engineering, database management, and analytical. methodologies, including designing and optimizing data pipelines and ETL processes

Demonstrable experience designing and implementing data processing solutions with relational or unstructured data to facilitate analytical applications

Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL), including optimization of SQL queries

Experience with at least one object-oriented programming language (e.g., Python, Java, Scala)

This position requires candidates to obtain a Public Trust Clearance

Due to the nature of work, U.S. Citizenship is required

Comfortable working on projects and with teams with heavy technical focus, including data analytics, machine learning, and/or business intelligence technologies

Strong collaboration skills and ability to work well in a team environment

Excellent verbal and written communication skills

Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans

Strong client and team interaction skills

Critical thinker with excellent attention to detail

Demonstrable experience with distributed data processing frameworks such as Spark or Hadoop preferred

Familiarity with statistical programming languages such as SAS, R, or Stata is helpful

2–5 years of experience in data engineering, database management, and analytical. methodologies, including designing and optimizing data pipelines and ETL processes.

Required skills

Data Engineering, Data Analytics, Data Pipelines and ETL, Database Management, SQL, PostgreSQL, MySQL, PL/SQL, Spark, Hadoop, Python, Java, Scala, Machine Learning, Business Intelligence, Public Trust Clearance

Experience

2-5 years