Manager Data Insights & Analytics
Job Description
Key Accountabilities:
- Own and manage the development of a centralized data repository, ensuring data integrity, accessibility, and alignment with business needs.
- Design and implement automated, scalable dashboards that deliver detailed insights across customer segments and P&L performance.
- Drive data governance and standardization, ensuring consistency and reliability across all analytical outputs.
- Enable and enhance automated forecasting models to support proactive planning and strategic decision‑making.
- Collaborate with cross‑functional teams to translate complex business questions into clear, data‑driven insights.
- Deliver regular, high‑impact analysis and reporting to senior stakeholders, supporting strategic initiatives and commercial decision making.
- Identify opportunities to improve data structures, processes, and tools to increase efficiency and insight quality.
- Act as a trusted advisor to senior leadership, shaping how data is used to drive value across the organization
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- Master’s degree in Business Analytics, Data Science, MBA with a focus on Analytics, or a related field is highly preferred.
- Additional certifications in Data Analytics, Business Intelligence, or Advanced Analytics Tools (e.g., Tableau, Power BI, SQL, Python) would be advantageous.
Experience:
- 7+ years of experience in data analytics, business intelligence, or a related field, with a proven ability to drive actionable insights at a strategic level.
- 3+ years of experience in managing or leading data analytics teams, with direct involvement in designing and implementing dashboards, forecasting models, and data‑driven reporting.
- Strong experience in working with data visualization tools (e.g., Power BI, Tableau) and data management platforms.
- Proven track record of working with cross‑functional teams to translate complex data into business solutions and strategic insights.
- Demonstrated experience in automated forecasting and business performance evaluation at a segment and P&L level.
- Experience in data governance, ensuring high data quality and consistency across the organization.
Skills:
- Advanced Data Analytics: Expertise in analyzing large datasets to extract actionable insights.
- Business Intelligence Tools: Proficiency in Power BI, Tableau, or similar platforms for dashboard creation.
- SQL: Strong skills in querying and manipulating data from databases.
- Data Visualization: Ability to create clear, impactful visualizations for stakeholders.
- Statistical & Predictive Analysis: Experience with regression, forecasting, and predictive modeling.
- Data Governance: Knowledge of data quality, consistency, and governance best practices.
- Forecasting: Experience in developing and automating forecasting models.
- Cross‑Functional Collaboration: Ability to work with teams like marketing, finance, and product.
- Strategic Thinking: Aligning data insights with business goals to drive decisions.
- Communication: Strong skills in presenting complex insights clearly to leadership.