Engineering Lead, BI & Analytics

Swinerton

. Own the BI and analytics solution strategy, including architecture, standards, and roadmap .

Posted 11/6/2026full-timeUnited StatesSenior💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in BI and analytics solution strategy, including architecture, data modeling, and advanced analytics techniques. Proficient in leading technical teams and delivering business-critical analytics products that drive measurable outcomes.

Highest-signal resume keywords

BI DevelopmentData VisualizationSQLPredictive ModelingPower BI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingSemantic ModelingMetric DefinitionStatistical AnalysisMachine LearningPredictive AnalyticsAnomaly DetectionNatural-Language ExplorationDashboard DesignAnalytics Engineering

Soft Skills

Strong CommunicationStakeholder ManagementLeadershipCoachingCollaboration

Tools & Technologies

Power BITableauLookerDatabricksSnowflakeBigQueryAzure Data Services

Industry Keywords

Business AnalyticsData ScienceAnalytics ProductsSelf-Service ReportingGoverned Metrics

Tech Stack

Tools & technologies

AzureBigQueryCloudSnowflakeSQLTableau

About the role

Key responsibilities & impact

Own the BI and analytics solution strategy, including architecture, standards, and roadmap
Advance analytics beyond traditional dashboards through natural-language exploration, proactive insights, recommendations, anomaly detection, predictive analytics, and agentic analytics patterns
Partner with business leaders, product owners, data engineering, platform teams, and AI stakeholders
Translate business priorities into dashboard requirements, semantic model needs, analytical methods, implementation plans, and well-scoped work
Build scalable analytics products using data modeling, business context, intuitive user experience, reusable patterns, and statistical or AI methods
Set standards for dashboard design, semantic modeling, metrics, report performance, analytical products, documentation, testing, deployment, and reusable delivery
Guide the data science lifecycle from problem framing through model development, validation, operationalization, and adoption
Lead, coach, and develop BI developers and data scientists
Contribute to design reviews, code reviews, and resolution of complex engineering issues
Ensure analytics and AI-enabled solutions are reliable, explainable, production-ready, and connected to measurable business outcomes

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or a related field; advanced degree is a plus
7+ years of experience across BI development, analytics engineering, data visualization, semantic modeling, BI architecture, data platforms, data science, applied analytics, or related technical roles
Experience leading technical teams or delivery efforts
Strong expertise in SQL, data modeling, semantic modeling, metric definition, and modern BI and analytics development practices
Practical fluency in statistical analysis, predictive modeling, machine learning, experimentation, model evaluation, and responsible use of AI-enabled analytics
Experience designing and delivering business-critical dashboards, reports, analytics products, predictive insights, and self-service reporting capabilities for enterprise audiences
Experience with Power BI, Tableau, Looker, or equivalent technologies; Power BI experience strongly preferred
Experience with modern cloud data platforms and warehouse or lakehouse ecosystems such as Databricks, Snowflake, BigQuery, Azure data services, or equivalent technologies
Experience applying AI-enabled analytics patterns such as natural-language data exploration, anomaly detection, forecasting, recommendations, analytical copilots, or agentic analytics is preferred
Experience establishing trusted analytics practices through governed metrics, data quality checks, validation, documentation, access controls, model evaluation, human oversight, and adoption support
Experience defining dashboard standards, semantic model conventions, analytical product patterns, documentation practices, deployment approaches, and reusable delivery patterns
Experience translating business needs into requirements, analytics designs, data science problem framing, implementation plans, and scoped technical work
Strong communication and stakeholder management skills
Construction industry experience helpful but not required

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) with company matching
Employee Stock Ownership Program (ESOP)
Individual stock ownership
Paid vacation
Paid sick leave
Paid holidays
Bereavement leave
Employee assistance program
Pre-tax flexible spending accounts
Basic term life insurance and AD&D
Business travel accident insurance
Short- and long-term disability
Financial wellness coaching
Educational assistance
Care.com membership
ClassPass fitness membership
DashPass delivery membership
Additional term life insurance
Long-term care insurance
Critical illness and accidental injury insurance
Pet insurance
Legal plan
Identity theft protection
Other voluntary benefit options