The Manager, Data Analytics & Reporting will be responsible for developing and managing robust, actionable data analytics and reporting products to support top-priority business needs and decision making.
Responsibilities
- Drive Enterprise Data Analytics and Reporting roadmap, aligning initiatives with company-wide strategy and objectives
- Provide strategic and operational insights backed by data to functional teams across the company
- Define requirements for analytics and reports as well as for data layer and any necessary source data that underpin them
- Collaborate with cross-functional teams to understand and prioritize data and reporting needs (e.g., business KPIs, client segmentations, financial reporting, forecasting)
- Lead data analysis projects, ensuring high-quality, relevant insights and reports
- Generate reports and dashboards to analyze/track business performance and support business decisions
- Ensure enterprise data quality through automated data audits and other mechanisms, following business requirements
- Help shape data strategy by working with senior team members to determine best practices and data governance policies. Actively promote data-driven decision-making across the organization
- Translate complex data findings into clear, actionable insights for a range of audiences, both technical and non-technical
- Act as a subject matter expert for data-related issues, providing guidance to more junior team members
- Maintain clear and comprehensive documentation of data standards (e.g., sources, models, pipelines, etc.)
- Follow best practices in data analytics/engineering, including version control, security, and change management procedures
Qualifications & Requirements
- Distinguished academic track record in quantitative discipline
- Minimum 3-5+ year work experience in data-related roles
- Demonstrated proficiency in data analytics tooling (e.g., SQL, DBT, Python, Tableau, Excel)
- Ability to analyze structured/unstructured data and derive actionable insights
- Experience managing end-to-end analytics projects
- Ability to synthesize and present data insights in a way that drives decision-making
- Deep experience working with and joining disparate data sources
- Experience in applying advanced analytical approaches to deliver on key business objectives (e.g., forecasting, client segmentations, etc.)
- Preferred - data analytics or reporting-related experience with Databricks, Salesforce, Addepar, and/or Workday
- Experience growing and managing high-performing teams
- Manage projects and prioritize tasks effectively to deliver key projects
- Ability to communicate/ translate complex data insights into actionable business recommendations
- Strong analytical, problem-solving, and critical thinking skills
- Comfort with ambiguity and proven ownership mindset
- Effective communication, both orally and in writing
- Strong attention to detail with a high degree of accuracy and consistency
- Ability to lead projects end-to-end, in a structured way, and with minimal supervision
- High standards of professionalism and confidentiality
