Data Analytics and Strategy Lead - Remote

Remote Full-time
Job Description:As a Data Analytics and Strategy Lead, you will play a critical role in building a robust, scalable, and sustainable data practice for the client. You will work on developing actionable data strategies, maintaining and expanding data systems, and fostering a culture of data-driven decision-making. This position requires strong technical expertise, analytical skills, and the ability to communicate complex data insights to diverse stakeholders. You will lead the integration of data into workflows, ensuring its integrity, accessibility, and strategic application to drive government-wide optimization. Key Responsibilities: Lead the development and execution of data strategies, aligning solutions with organizational objectives and stakeholder needs. Collect, analyze, and interpret complex data sets to identify trends, patterns, and actionable opportunities. Develop, maintain, and scale data pipelines, ETL processes, and Power BI dashboards to support data accessibility and performance. Present findings through visually engaging reports and dashboards tailored to diverse audiences. Collaborate with cross-functional teams to design KPIs, frameworks, and training programs that enable data adoption and operational improvements. Oversee data integration from on-premises and cloud platforms, ensuring data integrity and optimization. Facilitate workshops and office hours to guide teams in incorporating data into workflows and decision-making. Act as a liaison between technical teams and stakeholders, ensuring alignment in priorities and solutions. Develop and document data collection, analysis procedures, and governance practices to support data quality and security. Drive user research and analysis, using behavioral metrics and survey data to optimize services and improve user journeys. Required Skills, Experiences, Education, and Competencies: 3+ years of experience in data collection, analysis, and strategy development, including quantitative reporting and predictive analysis. 3+ years of experience managing data pipelines, ETL processes, and databases (SQL, Power BI, Azure Data Lake). Proficiency in Python or R for data manipulation, analysis, and automation. Expertise in Power BI or other business intelligence tools, with experience in data visualization and dashboard development. Strong understanding of data governance, quality best practices, and statistical analysis methodologies. Proven ability to design and deliver data-driven strategies, train non-technical teams, and communicate complex data findings. Experience analyzing user behavior, metrics, and trends to drive business goals and operational improvements. Ability to document processes, manage multiple workstreams, and maintain strict confidentiality. Bachelor's degree in Computer Science, Information Science, Economics, or a related field, or equivalent work experience. Excellent collaboration, communication, and presentation skills for cross-functional teams and leadership stakeholders. Preferred Skills & Qualifications: Experience with behavioral metrics, CRM platforms (Salesforce), or content management systems (Sitecore). Knowledge of machine learning, AI, or cognitive service engine models. 2+ years of experience in user research, feedback analysis, and data governance. 1+ year of experience in API development, project management, and marketing analytics. Domain knowledge in Health, Business, or Education sectors.The hourly range for roles of this nature are $50.00 to $70.00/hr. Rates are heavily dependent on skills, experience, location, and industry. cyberThink is an Equal Opportunity Employer.

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