Data Analyst

Red Canyon Technologies, LLC
Dayton, OH, United States
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Data Analysis Big Data Databases Data Architecture Data Governance Extract Transform Load (ETL) Data Mapping Data Transformation Data Normalization Data Profiling Data Structures
+15 more
Data Warehousing Information Management Python (Programming Language) Metadata Repositories Performance Tuning Reverse Engineering SQL Databases Technical Data Management Systems Jupyter Notebook Scripting SC Clearance Information Technology Data Management Data Pipelines Databricks

Job description

The Data Analyst will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for executing data management activities in data quality and data asset management.

This position is a collaborative role that provides support for analysis and research into our data structures, attribution, maintenance, and models to ensure they align with the organization’s strategic data management direction. This position is also responsible for maintaining the visibility and integrity of the portfolio’s data asset inventory by identifying and closing any information gaps.

The Data Analyst will work within an agile team to provide high-quality service to our customers by applying analytical techniques to determine solutions based on client requirements within an IT services/solutions scope. They will analyze and reverse-engineer business and technical artifacts, such as data models, data catalogs, design documentation, and interfaces, to capture, store, and maintain relevant metadata for the systems within the portfolio. This role may also be expected to develop and maintain data quality assessments and data profiles for the systems within the portfolio. As such, they will be expected to work closely with functional and technical data stewards to present their findings and provide recommendations to address any identified issues., * Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation

  • Conceptually understand and convey to stakeholders and leadership complex topics related to data management, data governance, and data maturity
  • Work with subject matter experts (SME) across organizations to collect and update business and technical metadata
  • Reverse engineer data models and other design or build artifacts to extract relevant business and technical metadata and load into a metadata repository
  • Review submitted data to detect data quality problems and anomalies, and help the organization correct data: both current and historical
  • Collects and analyzes data and associated system artifacts for stakeholders to use in perfecting their business practices
  • Performs analysis to determine how data might best be applied to benefit the stakeholders
  • Develops ETL routines to load and curate disparate data sets
  • Other duties as assigned

Requirements

  • Years of Experience: 5+
  • Education Level: Bachelor’s degree in Computer Science or similar and 5+ years of experience
  • Clearance Requirements: Must be able to obtain a Secret Clearance
  • Experience with ETL or data movement software such as StreamSets, DataBricks, Jupyter Notebooks, etc.
  • Experience using SQL for data analysis, data quality, and data profiling activities
  • Experience leading small 3-4 person teams
  • Experience in one or more scripting languages
  • Experience in ETL performance optimization
  • Experience working with large data sets in enterprise-level data warehousing/lake environments
  • Experience creating data mapping documentation for databases, interfaces and applications
  • Experience with Agile development methodologies and roles

Qualifications considered a plus:

  • Experience with AF Logistics systems and data
  • Experience with Python
  • Experience in requirements elicitation
  • Experience in Information Management, including data design, data transformation, data governance or other major DAMA DMBOK or industry-recognized data management practice
  • Experience in working with and defining data
  • Excellent written and verbal communications
  • Logical thinker; able to articulate thoughts both verbally and diagrammatically
  • Experience in logical data modelling and data normalization
  • Experience interpreting data and analyzing results using statistical techniques
  • Experience with data collection systems and their strategies

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Retirement plan
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Employee assistance program, Eligible full-time employees receive a comprehensive benefits package, including medical, dental, vision, life and disability coverage, retirement savings with company match, paid time off, voluntary supplemental benefits, and access to an employee assistance program. The package also includes educational assistance, with tuition reimbursement.

About the company

Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that provides government agencies and commercial organizations with high-quality IT, professional, environmental, and research and development services. DDC is dedicated to empowering the Navajo Nation and communities we serve.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all