Analytics Engineering Manager
New York, Remote North America
MongoDB
Get your ideas to market faster with a developer data platform built on the leading modern database. MongoDB makes working with data easy.The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
Analytics Engineering Manager
The manager of Analytics Engineering will play a critical role in further developing our rapidly growing Data Analytics organization. Partnering with people leaders and ICs within the analytics team and around the business, this role will surface key insights to drive business decision making and co-own our emerging analytics engineering practice. This role requires someone with strong analytical and technical skills, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.
This role can be based out of our New York City office or remotely in the North America region.
Responsibilities
- Design and implement data post-processing pipelines
- Create shared data assets generating visibility into critical business metrics
- Partner with data engineering to expose governed datasets to the rest of the organization
- Make the team more efficient: Research and implement new tooling/processes team-wide; seek out and automate existing costly manual processes
- Serve as an analytical and technical thought partner to stakeholders on the analytics team and around the business
Skills & Attributes
- Experience coaching and onboarding team members
- Experience leading the technical execution of business intelligence and analytics engineering related projects of large scope and complexity
- Experience with data science and statistical tools such as R, Python, or others
- Strong analytical and data wrangling skills
- Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
- Strong knowledge of programming fundamentals, with an emphasis on code simplicity and performance
- Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
- Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
- The ability to effectively collaborate cross-functionally to drive actionable and measurable results
- A passion for the role of data in helping solve complex questions
- Experience combining data from disparate data sources to identify insights that were previously unknown
- A desire to constantly learn and improve themselves
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data Analytics Data management Engineering MongoDB Pipelines Python R Research Statistics
Perks/benefits: Career development Fertility benefits Parental leave
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