Analytics Developer

Stream Data Centers•Dallas, TX

14h

About The Position

For years, Stream Data Centers has been a trusted partner in providing world-class data center solutions, focusing on sustainable, secure, and reliable infrastructure. Since 1999, Stream has set new standards for innovation, operational excellence, and sustainability, having acquired, developed, and managed over 27 data center projects nationally. The company develops wholesale colocation capacity and build-to-suit facilities for hyperscale and enterprise users, and provides energy procurement services with a focus on low-cost renewable energy options. Stream's IT team delivers modern, secure technology solutions that power global operations, combining proactive management, rigorous cybersecurity, and agile software development to drive business growth. The Analytics Developer is responsible for designing, developing, and maintaining data-driven solutions that support digital platforms, internal applications, and operational decision-making across the data center environment. This role requires strong development fundamentals and deep analytical skills to transform raw data into actionable insights. The ideal candidate has experience building scalable data integrations, creating dashboards and visualizations, and deploying analytics tools for high-availability digital infrastructure and customer-facing portals. This position will work closely with and take direction from the Data Strategist (Data Warehouse & Reporting) to align with the enterprise data roadmap, standards, and priorities, requiring strong communication skills to translate business questions into reliable data products and reporting experiences.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).
2–4 years of experience in analytics development, data engineering, or web development.
Proficiency in SQL and at least one scripting/programming language (Python, JavaScript, or similar).
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and modern analytics/BI tools (e.g., Power BI, Tableau, Looker, Grafana).
Understanding of REST APIs, JSON, and web application architectures; experience integrating data into web products is a plus.
Strong analytical, problem-solving, and communication skills with the ability to translate business questions into technical deliverables.
Experience with ETL/ELT tools, serverless functions, and/or real-time streaming technologies.
Knowledge of data accuracy, integrity, and security practices in environments with compliance requirements.
Ability to collaborate effectively across Product, Operations, Engineering, and Customer Success teams.

Nice To Haves

Experience in data center, telecom, cloud, or other critical infrastructure environments.
Familiarity with monitoring systems (e.g., PRTG, Splunk, Datadog).
Experience with BI/visualization (Power BI, Tableau, Looker, Grafana).
Experience with SQL (SQL Server/Synapse/Snowflake or similar).
Experience with cloud services (Azure/AWS/GCP).
Experience with ETL/ELT and orchestration (ADF, dbt, Airflow or similar).
Experience with APIs/JSON.
Experience with monitoring/observability (Splunk, Datadog, PRTG or similar).
Familiarity with Git-based workflows.
Familiarity with CI/CD practices and dashboard UX/visualization best practices.

Responsibilities

Develop and optimize data pipelines, APIs, and integrations: Build, maintain, and improve data flows that support web applications, internal systems, and analytics workloads.
Build analytics models, dashboards, and visualizations: Deliver reporting for operational metrics, capacity planning, environmental monitoring, and service performance.
Translate business needs into technical solutions: Gather requirements, write technical specifications, build prototypes, and deploy production analytics solutions.
Execute the data roadmap defined by the Data Strategist: Implement analytics solutions in alignment with established data models, metric definitions, governance practices, and prioritization set by the Data Strategist (Data Warehouse & Reporting).
Implement analytics tracking and telemetry: Instrument customer portals and internal tools with analytics tracking, monitoring, and usage telemetry.
Create data-driven product features: Enable usage insights, performance reports, and predictive components that are integrated into web products and internal applications.
Collaborate with engineering and BI partners: Partner with Web Developers, Infrastructure Engineers, and BI teams to ensure reliable data access, validated reporting, and consistent metric definitions.
Support stakeholders and KPI delivery: Work with Product, Operations, and Customer Success to understand KPIs and deliver analytics that enable better decision-making.
Ensure data quality, integrity, and security: Apply company standards for accuracy, access control, and compliance; perform testing, validation, and troubleshooting to maintain reliable outputs.
Continuously improve analytics tooling and processes: Recommend and implement enhancements to reporting processes, analytics tools, dashboards, and data instrumentation; stay current with visualization frameworks and best practices.
Document solutions and enable users: Create and maintain documentation for datasets, dashboards, and integrated analytics features; provide guidance to analysts and business users on correct usage.
Coordinate delivery across teams: Facilitate alignment between business stakeholders and technical teams; clarify requirements, prioritize analytics work, and communicate tradeoffs and timelines.
Support monitoring and operational reporting: Help implement and maintain monitoring dashboards and reporting that improve visibility into availability, performance, and service delivery.