Senior Data Analyst, MongoDB

Personalization

Salary not provided
SQL
Python
R
Mid and Senior level
Remote in Canada, US
MongoDB

Developer data platform

Job no longer available

MongoDB

Developer data platform

1001+ employees

B2BEnterpriseBig dataCloud Computing

Job no longer available

Salary not provided
SQL
Python
R
Mid and Senior level
Remote in Canada, US

1001+ employees

B2BEnterpriseBig dataCloud Computing

Company mission

To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

Role

Who you are

  • 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
  • 3+ years of hands-on analytics experience with for marketing and / or growth teams, ideally at a software company
  • Advanced SQL skills and proficiency with either Python or R
  • Deep understanding of applied statistics and demonstrated success of partnering with marketing teams to conduct a wide range of experiments
  • Experience with customer segmentation, customer journey analysis, clustering analysis and UX research
  • Exposure to predictive analytics and machine learning based recommendations is a bonus
  • Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
  • Effective at communicating technical concepts to non-technical audiences
  • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment

What the job involves

  • The Senior Data Analyst, Personalization will play a meaningful role in further developing our rapidly growing Data Analytics function focusing on personalization
  • Partnering with stakeholders within the analytics team, the marketing and marketing operations teams, as well as production management and with other teams around the business, this role will surface key insights to drive business decision making
  • Surface insights to drive executive decision making across the business
  • Partner with Marketing teams and product to support design, execution and analysis of experiments across a variety of channels (paid ads, email and website) to optimize content to users and improve their experience in product
  • Leverage deep understanding of statistics to conduct analyses that help partner teams make quicker, more informed decisions to help the business be more agile
  • Write and maintain complex queries to conduct deep-dive analyses on the impact marketing initiatives have on acquisition, product activation and user retention
  • Work closely with Data Architecture and Data Engineering teams to help create and optimize custom views and tables to enable reporting for marketing and growth teams
  • Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes
  • Serve as an analytical and technical thought partner to stakeholders across the analytics, developer relations and broader marketing teams

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.

Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.

Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.

Insights

Top investors

Some candidates hear
back within 2 weeks

13% employee growth in 12 months

Company

Funding (last 2 of 8 rounds)

Jan 2015

$80m

SERIES G

Oct 2013

$150m

SERIES F

Total funding: $311.1m

Company benefits

  • Rich health insurance coverage
  • Virtual & on-site fitness classes
  • Health screenings & telemedicine
  • Access to transgender-inclusive health insurance coverage
  • Global and internal mobility opportunities
  • Equity & Employee Stock Purchase Program
  • Pension & retirement programs
  • Income Protection
  • Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
  • Employee Assistance Program
  • Mental health counseling
  • Free meditation app access
  • Fertility & adoption financial assistance
  • Parental counseling for new parents
  • 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
  • 4 weeks of emergency care leave

Company values

  • Think Big, Go Far
  • Build Together
  • Embrace the Power of Differences
  • Be Intellectually Honest
  • Own What You Do
  • Make it Matter

Company HQ

Theater District, New York, NY

Founders

Dwight Merriman

(Co-Founder)

Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.

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