Senior Data Analyst

MongoDB; United States; On-site; USD 83,000 - 162,000; Full time

Benefits offered by this job

Equity

Employee stock purchase program

Flexible PTO

Parental leave (20 weeks)

Fertility assistance

Adoption assistance

401(k)

Mental health benefits

Healthcare coverage

Job summary

MongoDB is seeking a data analytics professional to partner with People teams and translate analyses into data-driven insights. You will help shape the roadmap for people data investments and create automated dashboards that enable stakeholders to self-serve their analytics needs.

The role requires 3+ years of analytics experience, advanced SQL, and proficiency in Python or R. Experience with Tableau and people data metrics is highly preferred.

Qualifications

• 3+ years of hands-on analytics experience, preferably in people/HR analytics.
• Advanced SQL skills and ability to work with very large datasets.
• Proficient in Python or R for data wrangling and analysis.
• Extensive experience with Tableau or another leading visualization tool.
• Experience with people data metrics (headcount, attrition, recruiting) preferred.
• Familiarity with data architecture fundamentals and data warehousing.
• Proficiency with data modeling and data quality best practices.
• Strong communication with stakeholders at all levels of the organization.
• Collaborative, organized, and self-guided.

Responsibilities

• Partner with People teams to turn analyses into data-driven insights and business recommendations.
• Develop and execute against roadmap for people data investments to capture near-term value and set up long-term success.
• Leverage statistics to conduct analyses that inform decisions.
• Write and maintain complex queries for HR analytics.
• Liaise with Data Engineering and HRIS teams to curate central people data repository.
• Design and build automated dashboards for self-service analytics.
• Prioritize analytic and reporting requests from the People team.
• Develop and support data governance and data quality processes.
• Effectively communicate analytic findings to non-technical audiences.

Skills

SQL

Python

R

Data wrangling

Data analysis

Tools

Tableau

Job description

The worldwide data management software market is massive. According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate.

At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer 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.

Responsibilities

• Partner with People teams (business partners, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data‑driven insights, and make business recommendations.
• Help develop and execute against roadmap for people data investments to both capture near‑term value and set up the team for long‑term success.
• Leverage understanding of statistics to conduct analyses that help People teams make quicker, more informed decisions.
• Write and maintain complex queries to conduct deep‑dive analyses on the impact that People initiatives have on employee engagement, productivity and retention.
• Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data.
• Design and build automated dashboards to empower stakeholders to self‑serve their data and analytical needs.
• Prioritize and triage analytical and reporting asks from across the People team.
• Develop and support ongoing data governance and data quality processes.
• Effectively communicate analytical findings to non‑technical audiences.

Requirements

• 3+ years of hands‑on analytics experience (focus on people/HR analytics preferred).
• Advanced SQL skills, comfortable manipulating very large datasets.
• Proficient in Python or R with a strong focus on data wrangling and data analysis.
• Extensive experience with Tableau or another leading visualization tool is required.
• Experience analyzing complex people data (e.g., headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required.
• Experience in survey design and analysis preferred.
• Familiarity with data architecture fundamentals and data warehousing.
• Proficiency with data modeling and data quality best practices.
• Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization.
• Highly collaborative and organized, with a strong attention to detail.
• Comfort with ambiguity and ability to work in a self‑guided manner.
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment.
• Exposure to Modern Cloud Data Warehouses preferred.

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, 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.

Req. ID: 1273383451

MongoDB’s base salary range for this role in the U.S. is:

$83,000—$162,000 USD

Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender‑inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed above and the benefits in this paragraph are only applicable to U.S.-based candidates.