[Remote] Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. C1 is a provider of communications and data technology solutions for businesses. The Analytics Engineer designs, develops, and supports enterprise reporting and analytics solutions, including scalable data models, data pipelines, semantic models, and Power BI solutions. The role partners with stakeholders to deliver governed, reliable data assets and supports the transition to Microsoft Fabric and modern Power BI architecture.

Responsibilities

• Partners with business stakeholders, departmental leaders, and Data and Analytics teams to understand reporting, KPI, and analytics needs and translate them into clear technical requirements
• Designs, develops, and maintains scalable data models that support enterprise reporting, analytics, and self-service BI, including dimensional models, star schemas, and governed analytical datasets
• Develops and supports semantic models for Power BI, ensuring measures, relationships, hierarchies, and business definitions are accurate, reusable, and aligned to approved business logic
• Builds, enhances, and maintains reliable data pipelines, transformations, and curated datasets that convert raw data into trusted, actionable business insights
• Develops SQL queries, stored procedures, views, data extracts, and other data assets for ad hoc analysis, recurring reporting, dashboard development, and business validation
• Supports the organization’s transition to Microsoft Fabric and Power BI by helping modernize reporting solutions, improve semantic model design, and reduce dependency on legacy reporting platforms
• Collaborates with business users to validate data accuracy, reconcile reporting outputs, document assumptions, and communicate findings in a clear, business-friendly manner
• Monitors existing metrics, datasets, and reports to identify data quality issues, process gaps, performance concerns, and opportunities for reporting improvement
• Creates and maintains documentation for data models, semantic layers, source-to-target logic, business rules, calculations, and reporting definitions
• Contributes to data governance practices by promoting standard definitions, trusted sources, metadata management, and structured access to enterprise data assets
• Retrieves, integrates, and analyzes data from multiple sources, including APIs, logs, relational databases, non-relational databases, Excel, and other business applications

Skills

• • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Applied Mathematics, or a related technology field, or equivalent practical experience
• • Experience designing data pipelines, and curated data assets across enterprise data platforms
• • Strong experience with data warehousing concepts, dimensional modeling, star schema design, data marts, and business-facing analytical models
• • Experience developing semantic models for Power BI, including relationships, reusable calculations, business measures, and performance considerations
• • Proficiency with SQL and experience developing queries, views, stored procedures, or scripts to support reporting, analytics, data validation, and troubleshooting
• • Ability to partner with business stakeholders, gather requirements, clarify business logic, and translate reporting and analytics needs into technical solutions
• • Strong communication skills with the ability to explain data issues, tradeoffs, assumptions, and technical concepts clearly to both technical and non-technical audiences
• • Experience working collaboratively with data engineering, BI, analytics, and business teams to deliver trusted reporting and analytics solutions
• • Self-directed, organized, and quality-focused with the ability to manage multiple priorities, meet deadlines, and work through ambiguity in a fast-paced environment
• • Master's degree in a related technology, analytics, engineering, or business field
• • Experience with Microsoft Fabric, Power BI, Dataflows, semantic modeling, governed datasets, or modern lakehouse/warehouse architecture
• • Experience migrating reports, datasets, or semantic models from legacy platforms to modern BI or cloud data platforms
• • Familiarity with data governance, metadata management, data cataloging, source-to-target documentation, and standard reporting definitions
• • Experience creating business-facing dashboards, KPIs, and reporting solutions that support operational, financial, sales, or services analytics

Benefits

• 401(k) Plan (35% employer match per dollar up to 10% employee contribution)
• Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes member advocacy; and Kaiser)
• RX Home Delivery
• HSA with Employer Contribution
• In-vitro Fertility (treatment coverage)
• Dental
• Vision (2 plans: 12-month and 24-month frames allowance)
• FSA Plans (Healthcare, Dependent Care and Limited Purpose)
• Pre-tax Commuter Plans
• Employer-paid Life Insurance
• Employer-paid Short + Term Disability
• Long Term Disability (2 plans: Employer-paid or optional Self-paid)
• Paid Parental Leave (4 weeks at 100%)
• Employee Assistance Plan
• Voluntary Life Insurance for team member, spouse and child
• Voluntary Accidental Death for team member and spouse
• Legal/ID Theft Plans
• TeleHealth
• Wellness via Omada Health (healthy living solution)
• Travel Assistance
• Business Travel Accident Coverage
• Medical for foreign travel coverage
• Employer-paid Pet Telehealth
• Accident Insurance
• Critical Illness Insurance
• Hospital Indemnity Insurance
• Volunteer Time Off
• 10 Holidays
• Summer Sizzle
• On Demand Pay (Daily Pay)

Company Overview