Top Remote Entry Level Data & Analytics Jobs in CO

The Data and Visual News Associate develops multimedia and data-driven journalism during a two-year newsroom rotation. Responsibilities include investigative reporting using OSINT, geolocation, satellite imagery and metadata; producing interactives, maps, charts and visual stories; analyzing audience data; experimenting with AI-powered reporting workflows; and collaborating with graphics, data and innovation teams. The role requires a technical portfolio, data analysis and visualization skills, digital evidence verification experience, and proficiency with Adobe Illustrator, HTML and CSS.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Delivers daily, weekly, and month-end customer reporting while maintaining solution components, validating data, and resolving reporting issues. Analyzes complex datasets, supports customer implementations, and improves reporting efficiency using Excel, Access, SQL, and the Infios FAP Portal. Collaborates with Operations, Product, Implementations, Commercial teams, and customers to provide accurate, data-driven outputs and document scalable processes.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

Review complex geospatial questions, identify missing information, establish assumptions, and create detailed analytical workflows. Select appropriate data sources, tools, methods, validation steps, and deliverables for real-world applications such as crisis response, agriculture, site selection, and supply chain analysis. QA specialists review completed work and provide feedback against project guidelines. The role is fully remote, freelance, flexible, and project-based.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Leads and manages an analytics engineering team while contributing to data transformation, modeling, quality, and delivery solutions. Establishes modeling and development standards, implements analytics engineering tools, supports client engagements, improves reporting and visualization processes, allocates team resources, mentors engineers, supports presales, and drives internal quality and process improvements.