Salary
💰 $140,000 - $152,500 per year
Tech Stack
ETLPythonSQLTableau
About the role
- Lead a team of analysts and analytics engineers in partnering with InsideTrack stakeholders to understand and address business needs.
- Leverage technical expertise and people management skills to lead and mentor a growing team of highly talented data analysts and analytics engineers focused on building our analytics programs.
- Partner with coaching operations, technical solutions and engineering teams to identify opportunities to use advanced data analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Ensure delivery of high-quality and accurate regular reports on time, including those for the annual partnership review.
- Oversee development of operational dashboards for managerial and leadership teams as needed.
- Collaborate with InsideTrack leadership to establish a strategy and direction for data analytics at InsideTrack, including client reporting, internal reporting and cross-institutional insights.
- Establish an analytical framework, process and roadmap for measuring, evaluating and drawing insights for InsideTrack’s products and services.
- Manage end-to-end analytics requests through effective management of data analysts and analytics engineers. Respond to changing priorities and reallocate resources as necessary.
- Communicate results and operational impacts of data and insight initiatives to stakeholders through the creation of compelling data visualizations and dashboards.
- Lead team to partner closely with Program Area Leads and Strategic Program Directors to tell a compelling story to each client partnership.
- Present to clients and internal stakeholders; support team members in their presentations.
- Evaluate third-party analytics and reporting products, as needed.
- Provide internal data analytics industry thought-leadership and support external communication initiatives.
- Perform related duties as requested.
Requirements
- Five (5) + years of experience working in data analytics.
- Three (3) + years of experience managing data analysts and/or data scientists.
- Broad expertise in technical data tools and methods, including data engineering and analytics engineering, descriptive and predictive statistics, the modern data stack, experimentation, and data visualization.
- Pattern of successfully building durable processes that increase the efficiency and leverage of your teams in hiring, talent development, knowledge management, and standardizing methods.
- Hands-on experience leading teams whose primary goal is to derive operational and program insights to inform future business and program/service decisions.
- Experience leading a team to be consultative and collaborative with stakeholders.
- Fluent in data analysis tools and visualization (e.g., SQL, Python, R, FiveTran, Snowflake, dbt, Looker, Tableau).
- Ability to serve as a leader and advocate for team analytics members.
- Experience working across the full stack of data analysis, including ETL, data engineering, data analytics, and data visualization.
- Impactful presentation and data visualization skills to convey results clearly and concisely to stakeholders.
- Ability to manage, prioritize, and drive forward multiple concurrent projects.
- Excellent written and verbal communication skills on quantitative topics for non-technical and executive audiences.
- Ability to read and interpret complex information, talk with customers and listen attentively.
- Ability to interact professionally with individuals from various professional and cultural backgrounds at all levels within the organization.
- Ability to effectively adjust communication style as appropriate for a given audience.
- Must protect the confidentiality of student personal information and comply with Family Educational Rights and Privacy Act (FERPA).
- Must comply with all company procedures and policies, including company privacy and security policies.
- Education requirement: Bachelor’s degree in mathematics, analytics, business, finance or related field of study; Master’s degree preferred (BS/MS in a quantitative discipline is preferred).