Data Analyst

🕒 September 25

🇺🇸 United States – Remote

💵 $100k - $110k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cayuse Holdings

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Cayuse Holdings is a company that represents a portfolio of businesses focused on delivering IT services across various sectors, including Government, Commercial, and Native Solutions. The company prioritizes long-term relationships with clients and provides a wide range of services, such as program and project management, cybersecurity operations, and systems implementation. With a commitment to sustainability and stewardship, Cayuse Holdings aims to make a positive impact while servicing federal, state, local governments, and tribal entities.

📋 Description

• Meet with government clients to understand business needs, define data engineering and analysis objectives, identify data sources, and develop data integration and processing workflows • Design and implement data pipelines, ETL processes, and database structures • Perform data cleaning, transformation, and exploratory analysis • Collaborate with data scientists and software engineers to build scalable data pipelines for machine learning and business intelligence applications • Develop and maintain models and views for data access, visualization, and analysis • Optimize data storage, indexing, and query performance • Present findings and solutions to clients • Explain complex analytical concepts to technical and non-technical stakeholders • Take ownership of tasks and develop high-quality work products with minimal supervision • Perform other duties as assigned • Report to the Program Manager

🎯 Requirements

• 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 • Experience designing and implementing data processing solutions with relational or unstructured data • Experience with structured databases and query languages such as PL/SQL, Postgres, and MySQL • Experience optimizing SQL queries • Demonstrable experience with distributed data processing frameworks such as Spark or Hadoop preferred • Familiarity with SAS, R, or Stata helpful but not required • Experience with at least one object-oriented programming language such as Python, Java, or Scala • Requires candidates to obtain a Public Trust Clearance • U.S. Citizenship required • Must be able to pass a background check • Comfortable working on technically focused projects involving data analytics, machine learning, and/or business intelligence technologies • Strong collaboration skills • Excellent verbal and written communication skills • Ability to synthesize client and team needs into actionable work products and/or analytical plans • Strong client and team interaction skills • Critical thinking and excellent attention to detail • Ability to work extended periods and use computers and office productivity tools • Ability to establish a productive and professional workspace • May be required to work flexible schedules, outside normal business hours, holidays, and travel

🏖️ 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 • Flexible schedule may include holidays • Business or professional development travel opportunities