Overview
Remote
On Site
Contract - W2
Skills
Analytical Skill
Data Structure
Optimization
Accessibility
Service Delivery
Data Engineering
Google Analytics
Mentorship
Decision-making
Data Integrity
Workflow
Leadership
Gap Analysis
Reporting
Bridging
Customer Facing
Dashboard
Personas
Data Cleansing
Return On Investment
Management
Extract
Transform
Load
Database
SQL
Data Lake
Python
R
Data Manipulation
Data Modeling
Data Quality
Analytics
Google Tag Manager (GTM)
SPSS
Microsoft Excel
Microsoft Office
Business Intelligence
Tableau
Cloud Computing
Microsoft Azure
Statistics
Algebra
Business Analysis
Quality Assurance
Communication
Collaboration
Presentations
Training
Data Analysis
Competitor Analysis
Organizational Skills
Focus Groups
Data Collection
KPI
Research
Data Management
Testing
Computer Science
IT Management
Economics
Science
Machine Learning (ML)
Artificial Intelligence
Microsoft Power BI
Data Visualization
User Research
Data Governance
Data Security
API
Marketing
Project Management
Customer Relationship Management (CRM)
Salesforce.com
Web Content Management
Sitecore
Job Details
Job Description
Title: IT Business Intelligence Developer - Level 3
Location: Remote (Hartford, CT)
Duration: 12 Months Contract
About the Role
The Data Analytics and Strategy Lead 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 mindset to drive awareness and adoption of data and analytics. This person will 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.
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 integrity, 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, and executive-level communication skills to be successful in this role. There will be a heavy emphasis on Google Analytics, Google Search Console, Power BI, and other behavioral metric systems.
Note: This is a full-stack data position, which requires a cross-functional skillset in engineering, analysis, and strategy. Do not apply if you do not have proficiency in each of these areas.
Key Responsibilities
1. Data Strategy and Leadership:
o Help lead the development and execution of the state's data practice, focusing on clear and actionable strategies and aligning with organizational goals.
o Work closely with stakeholders to identify critical data needs and design solutions that address them.
o Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making.
2. Analysis and Insights:
o Collect, compare, and analyze complex data sets to identify trends, patterns, and actionable opportunities.
o Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.
o Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.
3. Technical Maintenance and Expansion:
o Maintain and optimize existing pipelines, databases, and Power BI dashboards currently in use at the State.
o Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity.
o Oversee ETL processes to integrate data from new sources and improve workflows.
4. User Engagement and Enablement:
o Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows.
o Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives.
o Facilitate workshops, office hours, and regular program updates to ensure alignment across teams.
5. Cross-Functional Collaboration:
o Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
o Act as a liaison between technical teams and business stakeholders, ensuring alignment and understanding.
Experience Required for This Role
Data Collection & Analysis - at least 3 years of measurable experience in the following:
Analyzing user data and metrics to drive specific business goals
Using data to isolate problems and develop 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 - at least 3 years of measurable experience in the following:
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.
Data modeling, data governance, and data quality best practices
Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
Using business intelligence tools like Tableau or Power BI
Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
Leveraging statistical analysis and algebra
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting data processes and configurations
Strategy, Communications, and Governance - at least 3 years of measurable experience in the following:
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 all levels of government staff
Other Preferred Skills & Qualifications
Deep domain knowledge for a particular industry - especially Health, Business, or Education
Experience with behavioral or CRM-related metrics platforms
Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
Experience with machine learning, AI, and cognitive service engine models
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 within data security 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 Salesforce
1 year of experience with web content management platforms such as Sitecore
Title: IT Business Intelligence Developer - Level 3
Location: Remote (Hartford, CT)
Duration: 12 Months Contract
About the Role
The Data Analytics and Strategy Lead 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 mindset to drive awareness and adoption of data and analytics. This person will 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.
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 integrity, 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, and executive-level communication skills to be successful in this role. There will be a heavy emphasis on Google Analytics, Google Search Console, Power BI, and other behavioral metric systems.
Note: This is a full-stack data position, which requires a cross-functional skillset in engineering, analysis, and strategy. Do not apply if you do not have proficiency in each of these areas.
Key Responsibilities
1. Data Strategy and Leadership:
o Help lead the development and execution of the state's data practice, focusing on clear and actionable strategies and aligning with organizational goals.
o Work closely with stakeholders to identify critical data needs and design solutions that address them.
o Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making.
2. Analysis and Insights:
o Collect, compare, and analyze complex data sets to identify trends, patterns, and actionable opportunities.
o Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.
o Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.
3. Technical Maintenance and Expansion:
o Maintain and optimize existing pipelines, databases, and Power BI dashboards currently in use at the State.
o Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity.
o Oversee ETL processes to integrate data from new sources and improve workflows.
4. User Engagement and Enablement:
o Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows.
o Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives.
o Facilitate workshops, office hours, and regular program updates to ensure alignment across teams.
5. Cross-Functional Collaboration:
o Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
o Act as a liaison between technical teams and business stakeholders, ensuring alignment and understanding.
Experience Required for This Role
Data Collection & Analysis - at least 3 years of measurable experience in the following:
Analyzing user data and metrics to drive specific business goals
Using data to isolate problems and develop 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 - at least 3 years of measurable experience in the following:
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.
Data modeling, data governance, and data quality best practices
Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
Using business intelligence tools like Tableau or Power BI
Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
Leveraging statistical analysis and algebra
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting data processes and configurations
Strategy, Communications, and Governance - at least 3 years of measurable experience in the following:
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 all levels of government staff
Other Preferred Skills & Qualifications
Deep domain knowledge for a particular industry - especially Health, Business, or Education
Experience with behavioral or CRM-related metrics platforms
Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
Experience with machine learning, AI, and cognitive service engine models
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 within data security 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 Salesforce
1 year of experience with web content management platforms such as Sitecore
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.