Senior Data Analytics and Strategy Professional
3 weeks ago
At Novalink Solutions LLC, we are seeking an experienced Data Analytics and Strategy Lead to join our team. 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.
We are offering a competitive salary of $140,000 per year for this position, commensurate with experience. As a key player in establishing a robust, scalable, and accessible data practice for the State of Connecticut, you will maintain and expand on existing data structures, develop strategies to scale data systems as needs grow, and ensure performance and data integrity.
About the Job DescriptionThe ideal candidate will have at least 3 years of measurable experience in analyzing user data and metrics to drive specific business goals, using data to isolate problems and develop solutions, and utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis.
Key Responsibilities- Data Strategy and Leadership:
- 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.
The successful candidate will 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. They will need to have a strong background in quantitative/qualitative data management, data research methodologies, data engineering, data analysis, and executive-level communication skills.
Preferred QualificationsCandidates with domain knowledge for a particular industry, especially Health, Business, or Education, are preferred. Experience with behavioral or CRM-related metrics platforms, Python or R programming languages, and proficiency in SQL and PL/SQL are also desirable.
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