Note: The job is a remote job and is open to candidates in USA. STI is leading a digital transformation in government to enhance services for residents and businesses. The Data Analytics and Strategy Lead will establish a robust data practice, guiding teams in leveraging data to improve user experiences and optimize government services.
Responsibilities
- Help lead 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
- Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making
- Collect, compare, and analyze complex 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
- Maintain and optimize existing pipelines, databases, and Power BI dashboards currently in use at the State
- Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity
- Oversee ETL processes to integrate data from new sources and improve workflows
- Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows
- Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives
- Facilitate workshops, office hours, and regular program updates to ensure alignment across teams
- 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
Skills
- 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
- 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
- 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
- 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
Company Overview