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채용MongoDB

Marketing Operations Manager

MongoDB

Marketing Operations Manager

MongoDB

Dublin; Ireland

·

On-site

·

Full-time

·

1mo ago

복지 및 혜택

Parental Leave

필수 스킬

SQL

Tableau

Excel

Marketing analytics

Data Analysis

The Marketing Analytics Manager plays a crucial role within the broader Marketing Operations (MOps) team. This individual will take the lead on strategic global initiatives designed to sustain and enhance the team's effectiveness within the Marketing department and beyond. The primary focus is to serve as a strategic, trusted analytics partner to Marketing teams across the globe (Americas, EMEA, and APAC), delivering data-driven, actionable insights that shape marketing strategy and optimize campaign performance. This includes analyzing program impact, ROI, and forecasts, as well as building dashboards and custom reports to track trends and outcomes of marketing initiatives in alignment with company goals.

This role will have a critical role in refining the overall go-to-market strategy by fostering cross-functional team collaboration and providing insightful recommendations.

This role can be based out of our Dublin office or remotely in the Ireland region.

Main Responsibilities

  • Serve as the subject matter expert for all standard metrics, reporting, methodologies, processes, and domain knowledge for the marketing organization

  • Analyze extensive marketing data and omni-channel interactions to make recommendations on optimal marketing mixes and ideal customer journeys

  • Lead analytical deep dives to understand regional funnel drivers and opportunities for marketing performance improvement, including, but not limited to, global/regional marketing performance, marketing program ROI, and funnel analysis. Identify areas of opportunity and propose innovation and iterations

  • Collaborate with internal marketing teams to understand pain points, providing data-driven insights and guidance

  • Manage data-related quality, accuracy, and availability of our dashboards and reports

  • Leverage AI tools to improve productivity and reduce time-to-insights

  • Manage roadmaps, projects, stakeholders' needs, and prioritization in line with the company and Marketing strategies

  • Collaborate closely with Marketing Operations (MOPS) and Sales Operations (SOPS) stakeholders to prioritize and execute strategic projects aligned with MongoDB's go-to-market goals

  • Lead the implementation of new analytical reports, including creating how-to guides and enablement materials post-launch

  • Identify and manage tasks, issues, risks, and action items effectively

Requirements

  • 3-5 years of hands-on experience in marketing analytics, business intelligence, or operations

  • Strong analytical skills with proficiency in SQL, Tableau and Excel. Working knowledge of platforms such as Eloqua/Marketo, Salesforce, Google Analytics

  • Excellent organizational and communication skills, with experience collaborating and influencing cross-functional stakeholders

  • Project management and prioritization skills to juggle multiple regional and global projects concurrently

  • Ability to thrive in the fast-paced, tech industry environment

Nice to have

  • Experience with advanced database segmentation

  • Familiarity with marketing attribution models

  • Familiarity with Account-based marketing frameworks

  • Previous experience in B2B software industry

  • Proficiency in Python or NoSQL

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

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 is an equal opportunities employer.

REQ ID: 1273359233

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MongoDB 소개

MongoDB

MongoDB

Public

MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.

5,000+

직원 수

New York

본사 위치

$24.0B

기업 가치

리뷰

2.6

10개 리뷰

워라밸

3.2

보상

3.8

문화

2.8

커리어

2.9

경영진

2.4

35%

친구에게 추천

장점

Great team environment and culture

Supportive management and mentorship

Good compensation and benefits

단점

Poor leadership and decision-making

Declining sales culture and difficult quotas

Limited advancement opportunities

연봉 정보

30개 데이터

Mid/L4

Senior/L5

Mid/L4 · Manager CRM Systems

2개 리포트

$178,931

총 연봉

기본급

$155,418

주식

-

보너스

-

$178,931

$178,931

면접 경험

8개 면접

난이도

3.1

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 88%

부정 12%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design