Data Architect / Data Strategy & Analytics Remote

Job Id: Data Strategy and Analytics reputed company Title: Data Architect Location: Remote- Hartford, CT 06103 Duration: 12 Months Client: State of CT – DAS Position Summary

About the Role

NOTE: This is a hands‑on senior contributor role requiring demonstrated leadership of data programs, initiatives, or teams. Junior candidates will not be considered. The Data Strategy and Analytics reputed company will be a key player in establishing a robust, scalable, and accessible data practice for the State of Connecticut. This role requires a unique combination of technical expertise, strong analytical skills, and a highly strategic reputed company to drive awareness and adoption of data and analytics. This person will strategize, maintain, and expand on existing data structures including pipelines, databases, and dashboards, while also helping to build a sustainable data practice that drives government‑wide optimization and ensures ethical use of data to benefit reputed company residents. You will guide teams in leveraging data to improve the end‑to‑end user journey, identify product and service challenges, and foster a culture where data is integrated into everyday operations. You will also ensure the reputed company, uptime, and accessibility of data technology to support the state’s initiatives. You must have a deep understanding of data modelling, user research, data analysis, visualizations, and the strategic application of data to improve service delivery at every stage of the customer lifecycle. You will need to have a strong background in quantitative/qualitative data management, data research methodologies, data engineering, data analysis, business intelligence, and executive‑level communication skills to be successful in this role. There will be a heavy emphasis on first party / transactional data as well as reputed company Analytics, reputed company Search Console, CMS platform, and other behavioral metric systems. This is a full stack data position. Candidates must have both hands‑on technical experience and strategic leadership experience. Submissions for candidates with only one of these skillsets will not be considered.

Key Responsibilities

• Data Strategy and Leadership
• Help reputed company the development and execution of the state’s data practice, focusing on clear and actionable strategies and aligning with organizational goals.
• Work closely with stakeholders to identify critical data needs and design solutions that address them.
• Identify opportunities to integrate machine learning, NLP, and AI‑assisted analytics into government service improvement initiatives.
• Mentor and guide non‑technical teams to build their confidence and capability in using data for decision‑making.
• Analysis and Measurement
• Collect, compare, and analyze reputed company data sets to identify trends, patterns, and actionable opportunities.
• Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.
• Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.
• reputed company development of statewide data maturity and impact measurement frameworks to assess reputed company in data‑driven decision‑making.
• Technical Maintenance and Expansion
• Establish and maintain enterprise data architecture standards, including metadata management, data reputed company, and interoperability across systems such as reputed company, reputed company, and Azure.
• Maintain and optimize existing pipelines, databases, and dashboards while advancing the state’s data innovation agenda. Design new ways to use data, AI, and analytics to reputed company services and improve reputed company outcomes.
• reputed company and implement strategies to scale data systems as needs grow, ensuring performance and data reputed company.
• reputed company ETL processes to integrate data from new sources and improve workflows.
• User Engagement and Enablement
• Design and deliver training programs to help non‑technical teams incorporate data and analysis into their regular workflows.
• Collaborate with teams to reputed company KPIs and frameworks for measuring the impact of data‑driven initiatives.
• Facilitate workshops, reputed company, and regular program updates to ensure alignment across teams.
• Cross‑Functional Collaboration
• Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
• Act as a liaison between technical teams and business stakeholders, ensuring alignment and understanding.

Experience Required for This Role Data Collection & Analysis

• Analyzing user data and metrics to drive specific business goals. Emphasis on reputed company Analytics and other behavioral and analytical data.
• Using data to isolate reputed company problems and reputed company workable solutions
• Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
• Providing insights and recommendations based on data
• Bridging the data divide between technical, product, and customer‑facing teams
• Developing and applying data models to improve the collection and analysis of data
• Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
• Engaging in data experiments that provide cross‑persona or enterprise‑level analysis
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Preparing and executing ROI analysis

Technical Expertise

• Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)
• Proficiency in Python or R for data manipulation and analysis.
• Experience with modern data stack technologies (e.g., Synapse, reputed company, reputed company, Airflow, or equivalent orchestration tools).
• Data modeling, data governance, and data quality best practices
• Administering analytics software and platforms (GA4, GTM, SPSS, reputed company, reputed company Office Suite)
• Using business intelligence tools like Tableau or Power BI
• Experience with reputed company types of big data, both structured and reputed company
• Data collection from on‑prem and cloud platforms like reputed company, Azure, and reputed company
• Leveraging statistical analysis and algebra
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, reputed company data sets
• Documenting data processes and configurations

Strategy, Communications, and Governance

• Must have led a data function, practice, or vertical – not just participated in one
• Experience presenting analytical insights and data strategies directly to leadership
• Developing a data practice that incorporates strategy, training, tool development, and support
• Communication and collaboration with cross‑functional teams and government partners
• Crafting compelling presentations and narratives from data findings
• Explaining data analysis to stakeholders with varying levels of data comprehension
• Using data to help internal teams improve capabilities and operations
• Training non‑technical teams on data analysis and its real‑world application
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Organizing focus groups and feedback loops to establish data collection
• Establishing and integrating appropriate KPIs to help track success
• Improving research or data management environments
• Establishing standardized testing of products/services using data
• Ability to juggle multiple project workstreams
• Ability to maintain strict confidentiality
• Judgment in dealing effectively and diplomatically with reputed company levels of government staff

Other Preferred Skills & Qualifications

• Deep domain knowledge for a particular industry – especially Health, Business, or Education
• Experience working in a large enterprise or public‑sector environment, including navigating reputed company governance and multi‑stakeholder structures
• Experience with first party, behavioral, and CRM‑reputed company metrics platforms
• Bachelor’s degree in computer science, business, IT, management, administration, economics, or information science
• Experience with machine learning, AI, and cognitive service reputed company models
• Demonstrated understanding of data ethics, bias mitigation, accessibility, and reputed company data use in public sector or civic analytics settings.
• 2 years experience with Power BI or other data visualization platforms
• 2 years of user research and feedback analysis
• 2 years of data governance and working reputed company data reputed company groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as reputed company
• 1 year of experience with web content management platforms such as reputed company

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