Data Strategy AND Analytics

Title:Data Strategy & Analytics Lead -

Remote

Job Description

This is leading a new digital transformation in government to uplift the lives and well-being of residents, businesses, and employees. Our goal is to improve access to programs and services, making interaction with government easier. When you join the Connecticut Digital Service, you ll be part of a team creating simple experiences personalized for everyone.

Is This You?

• Big Thinker: You see data as a means for reaching strategic goals and can use data to impact both the business and the customer.
• Problem Solver: You recognize the critical role data plays in understanding and solving pain points.
• Organically Curious: You see beyond the obvious to identify and fill in missing data and gaps of understanding.
• Service-Oriented: You are passionate about government innovation and improving services for your fellow citizens.

About the Role

• Hands-on senior contributor role requiring leadership of data programs, initiatives, or teams.
• Establish a robust, scalable, and accessible data practice for the State of Connecticut.
• Strategize, maintain, and expand data structures (pipelines, databases, dashboards).
• Build sustainable data practices for government-wide optimization and ethical data use.
• Guide teams in leveraging data to improve user journeys and foster a data-driven culture.
• Ensure integrity, uptime, and accessibility of data technology.
• Requires deep understanding of:

• Data modeling
• User research
• Data analysis
• Visualizations
• Strategic application of data

• Heavy emphasis on:

• First-party/transactional data
• Google Analytics, Google Search Console, CMS platforms

• Full stack data position: Must have both hands-on technical experience and strategic leadership experience.

Key Responsibilities

Data Strategy and Leadership

• Lead development and execution of the state s data practice.
• Identify opportunities for ML, NLP, and AI-assisted analytics.
• Mentor non-technical teams on data-driven decision-making.

Analysis and Measurement

• Collect and analyze complex data sets.
• Present findings in clear, visually engaging formats.
• Create reports, dashboards, and presentations.
• Develop statewide data maturity and impact measurement frameworks.

Technical Maintenance and Expansion

• Establish enterprise data architecture standards.
• Maintain and optimize pipelines, databases, dashboards.
• Design new data-driven solutions using AI and analytics.
• Oversee EETL TL processes and scale data systems.

User Engagement and Enablement

• Design training programs for non-technical teams.
• Develop KPIs and frameworks for measuring impact.
• Facilitate workshops and program updates.

Cross-Functional Collaboration

• Partner with leadership and IT teams.
• Act as liaison between technical teams and business stakeholders.

Experience Required

Data Collection & Analysis (3+ years)

• Analyzing user data (Google Analytics emphasis).
• Predictive analysis, gap analysis, quantitative reporting.
• Crafting compelling presentations (Power BI dashboards).
• Data cleansing, ETL, user surveys, ROI analysis.

Technical Expertise (3+ years)

• Managing pipelines, ETL, databases (SQL, Power BI, Azure Data Lake).
• Proficiency in Python or R.
• Experience with modern data stack (Synapse, Databricks, Snowflake, Airflow).
• Data modeling, governance, quality best practices.
• BI tools (Tableau, Power BI).
• Handling structured/unstructured big data.

Strategy, Communications, and Governance (3+ years)

• Led a data function or practice.
• Presented insights and strategies to leadership.
• Developed data practices including strategy, training, and tools.
• Training non-technical teams.
• Competitor research, market trend analysis.
• KPI establishment, standardized testing, confidentiality.