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forecasting analytics sql python data visualizationπ Description
- Partner with product, engineering, data science/analytics, operations, finance and other cross-functional stakeholders on initiatives to improve operational performance.
- Develop scalable reporting frameworks to streamline reporting, drive decision-making and prioritization.
- Forecast operational requirements needed to maintain high service levels and meet targets.
- Work with bike/scooter share markets to deliver analyses and present findings.
- Collaborate with cross-functional teammates to tackle asset maintenance, system health and labor forecasting.
π― Requirements
- 3+ years experience in data analytics in a high-growth environment.
- Bachelor's Degree or equivalent relevant professional experience.
- Highly skilled in SQL and quantitative analysis; deep dive into large data sets and derive actionable insights.
- Ability to develop scalable analytics and dashboards for performance analysis.
- Comfort with ambiguity; translate unclear issues into clearly defined requirements with minimal oversight.
- Strong interpersonal skills to build relationships with cross-functional partners.
- Excellent communication (written, oral) to present findings and recommendations.
- Bonus: Python and associated data science libraries.
π Benefits
- Medical, dental, and vision insurance options.
- Mental health benefits.
- Family building benefits and 18 weeks parental leave.
- 401(k) plan with company match.
- Paid time off with 12 holidays and discretionary PTO.
- Subsidized commuter benefits and Lyft credits.
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