What are the responsibilities and job description for the Data Analytics Lead position at Mavensoft Technologies, LLC.?
Job Title: Data Analytics Lead
Duration: 12 months (contract)
Location: Hartford, CT (Remote)
Key Skills: Data Management & Pipeline Expertise (ETL, Databases, Power BI), Data Analysis & Programming (Python/R, Statistical Methods), Data Governance & Quality Assurance
About the Role: Are you a strategic thinker who can harness the power of data to drive innovation and improve services? Do you possess a unique blend of technical expertise, analytical skills, and leadership abilities? If so, this role is for you.
As the Data Analytics and Strategy Lead, you will play a pivotal role in establishing and expanding a robust, scalable, and accessible data practice that supports the state’s initiatives. Your focus will be on leveraging data to improve service delivery, optimize workflows, and enable data-driven decision-making across functions. This role requires an individual who can bridge the gap between technical and business teams, using data to inform strategies, solve problems, and create solutions.
Key Responsibilities:
Experience Required:
Preferred Qualifications:
Email your resume to: usjobs@mavensoft.com
To learn more about Mavensoft visit us online at http://www.mavensoft.com/
Duration: 12 months (contract)
Location: Hartford, CT (Remote)
Key Skills: Data Management & Pipeline Expertise (ETL, Databases, Power BI), Data Analysis & Programming (Python/R, Statistical Methods), Data Governance & Quality Assurance
About the Role: Are you a strategic thinker who can harness the power of data to drive innovation and improve services? Do you possess a unique blend of technical expertise, analytical skills, and leadership abilities? If so, this role is for you.
As the Data Analytics and Strategy Lead, you will play a pivotal role in establishing and expanding a robust, scalable, and accessible data practice that supports the state’s initiatives. Your focus will be on leveraging data to improve service delivery, optimize workflows, and enable data-driven decision-making across functions. This role requires an individual who can bridge the gap between technical and business teams, using data to inform strategies, solve problems, and create solutions.
Key Responsibilities:
- Data Strategy and Leadership:
- Lead the development and execution of data practice, aligning strategies with organizational goals and ensuring broad adoption of data analytics.
- Work closely with stakeholders to identify data needs, design data solutions, and prioritize initiatives that drive wide impact.
- Mentor non-technical teams, building their confidence in using data for decision-making and strategic planning.
- Develop clear, actionable data strategies that drive organizational improvement and innovation.
- Analysis and Insights:
- Analyze complex data sets to uncover trends, identify pain points, and provide actionable insights that help improve services and optimize processes.
- Design and present data visualizations (e.g., dashboards, reports) tailored to different stakeholders, ranging from operational teams to executive leadership.
- Create and communicate data-driven recommendations that support wide initiatives and foster a data-centric culture.
- Technical Maintenance and Expansion:
- Maintain and enhance existing data infrastructure, including pipelines, databases, and dashboards (e.g., Power BI).
- Develop strategies to scale data systems to accommodate growing data needs, ensuring high performance and data integrity.
- Oversee ETL (Extract, Transform, Load) processes to integrate data from new sources, improving the state’s data workflows.
- User Engagement and Enablement:
- Design and deliver training programs to empower non-technical teams to effectively use data and insights in their daily work.
- Collaborate with cross-functional teams to develop KPIs and frameworks for measuring the success of data-driven initiatives.
- Facilitate workshops, office hours, and regular updates to ensure ongoing alignment and collaboration across teams.
- Cross-Functional Collaboration:
- Act as a liaison between technical teams (data engineers, IT) and business stakeholders (policy makers, program managers) to ensure data solutions meet organizational needs.
- Work with leadership, IT, and other departments to align priorities and drive data-related projects to completion.
- Collaborate with external partners to enhance data collection, analysis, and reporting practices.
Experience Required:
- Data Collection & Analysis: At least 3 years of experience in:
- Analyzing user data and metrics to drive business and operational goals.
- Using data to identify problems and develop solutions.
- Utilizing predictive analysis, gap analysis, and statistical methods.
- Bridging the gap between technical teams, product teams, and customer-facing teams.
- Developing data models to enhance the collection and analysis of data.
- Crafting and presenting data-driven insights and reports, especially using Power BI.
- Technical Expertise: At least 3 years of experience in:
- 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.
- Administering analytics tools (Google Analytics, GTM, SPSS, Excel).
- Using business intelligence platforms like Power BI, Tableau, or similar.
- Integrating data from various on-premises and cloud platforms (e.g., Microsoft, Azure, Salesforce).
- Applying data governance, data quality practices, and security protocols.
- Strategy, Communication & Governance: At least 3 years of experience in:
- Developing and executing a comprehensive data strategy that includes training, tool development, and ongoing support.
- Collaborating with cross-functional teams to drive data initiatives forward.
- Communicating complex data findings to diverse audiences, from technical to non-technical stakeholders.
- Training teams on data usage and its impact on operational efficiency.
- Developing KPIs and other performance metrics to measure success and improve services.
Preferred Qualifications:
- Experience with machine learning, AI, and cognitive service engine models.
- 2 years of experience using Power BI or other visualization platforms.
- Background in Health, Business, or Education domains.
- Experience with customer relationship management (CRM) platforms like Salesforce or web content management systems like Sitecore.
- Experience in API development, marketing metrics, and project management.
- Bachelor’s degree in a relevant field (e.g., Computer Science, Business, IT, Economics).
Email your resume to: usjobs@mavensoft.com
To learn more about Mavensoft visit us online at http://www.mavensoft.com/
