Job description

Requisition ID - CTDS Data Specialist Requisition Name - IT Business Intelligence Developer - Level 3 Folder - DAS - Digital (PiggyBack) Customer CT DAS Quantity Requested 1 Submission Deadline 10/20/2023 Location Hybrid (450 Columbus Blvd., Suite 1202 Hartford, Connecticut 06103-0000) Minimum 10 Years' experience 1 Professional Reference + must be on your W2 Description Professional Reference Name Email Id Contact Number Company 'name Designation This is Us The State of Connecticut is embarking upon a digital transformation to uplift the lives and well-being of our residents, businesses, and employees. Our goal is to improve access to our 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. If you enjoy solving complex problems with a curious, supportive, high-performing team, then the State of Connecticut is the place for you. Is This You? Big Thinker. You see data as a means for reaching strategic goals. And can see opportunities to use data to impact both the business and the customer. Problem Solver. You recognize the critical role data plays in understanding gaps and pain points. And also how to use data to create solutions for them. Proactive and Curious. You look beyond the obvious to identify the missing data. And you consistently step up to find ways to make CT serve its residents better. Service-Oriented. You are passionate about government innovation and improving services for your fellow citizens. About the Role The Data Specialist will work closely with our cross-functional project team focused in building and improving the State of Connecticut's digital government services. The Data Specialist will support the team by collecting, interpreting, and analyzing multiple data sources to help the State understand user needs, the effectiveness of State programs, and Client opportunities to create better user-centered solutions. You will need to have a deep understanding of data modelling, user research, data analysis, visualizations, and how to use data to improve the delivery of critical business services. You have a strong background in quantitative/qualitative data management, machine learning, data research methodologies, and the focused application of data analysis to fix problems and address emergent customer trends. You will be fully engaged with digital development teams and front-facing with team leaders to help advance enterprise success strategies that will improve customers' lives. Experience Required for This Role Data Research & Analysis at least 3 years of measurable experience in the following: nalyzing data and customer metrics to fulfill specific business goals Using data to help teams improve functionality and operations Developing and applying data models to improve the collection and analysis of data Bridging the divide between technical and business teams through data Communicating data analysis to various levels of stakeholders through visualizations Data cleansing, optimizing, and ETL Developing and analyzing user surveys Expertise in the principles and operating procedures of a specific industry Performing competitor research to help improve products and services Researching latest market trends and implementing knowledge Creating dashboards and reports that are easy to understand for non-technical users Organizing and storing data and queries for easy access in future work projects Documenting data collection and analysis procedures Organizing focus groups and feedback loops to establish data collection Using data to isolate problems and develop solutions Discovering and establishing proper KPIs to help track success Preparing and executing ROI analysis Establishing testing of products/services based off data analysis Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis Providing insights and recommending changes based on data findings Knowledge, Skills, and Ability Capabilities Experience with machine learning, AI, and cognitive service engine models Experience with programming languages like SQL, Python, R, and Scala Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite) Experience with dev and end-user applications for Google's GA4 platform Experience using business intelligence tools like Tableau or Power BI Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce Engaging in data experiments to provide cross-persona or enterprise analysis Leveraging statistical analysis and algebra Improving research or data management environments Leveraging economics, business/systems analysis, and quality assurance Manipulating large, complex data sets Documenting processes and modelling Performance in Complex Situations Communication and collaboration with cross-functional teams and state-wide partners Clearing challenges for team members Proactively identifying challenges, opportunities, and solutions to problems Comfort in blazing a path through an ambiguous work environment Judgement fitting to the ever-changing environment bility to juggle multiple project workstreams Service Design Team Building Supporting teammates' skills and behavior development and delivery dvocating data strategies both internally and externally balance between strong domain expertise and flexibility Prioritization, organization, and triage in an independent environment Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment bility to maintain strict confidentiality Judgment in dealing effectively and diplomatically with all levels of government staff Preferred Skills & Qualifications Other Desirable Skills Deep domain knowledge for a particular industry especially Health, Business, or Education Bachelor's degree in computer science, business, IT, management, administration, economics, or information science 2 years of user research and feedback analysis 2 years of deep GAU and GA4 experience 2 years of deep experience with Tableau and dashboard development 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

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