Senior Data Analyst - Palo Alto, United States - Navan

Description

As one of our

Senior Data Analysts

of our global Data team, you will work closely with the expense team and stakeholders from across the business including engineers, sales, marketing, finance, and operations to define the data needs and products which will drive the business forward.

The ideal candidate will be extremely curious, independent, knowledgeable about data, and will use their data skills and business mindset to make a difference every day.

We are looking for people who can operate at a company that grows as fast as ours by dealing with multiple moving pieces while still holding up quality, long-term thinking, and delivering value to our customers.

We take great pride in our diversity of backgrounds, cultures, and perspectives and we strongly believe this is helping us to grow as a successful and impactful team.

What You'll Do
Identify trends and opportunities for growth through analysis of complex data sets
Work alongside stakeholders (from ICs/Engineers to Directors/E-Staff) to understand requests and provide solutions using data analytics
Provide data solutions end-to-end (working with raw data, developing SQL models, building dashboards and presenting insights to stakeholders)
Support and strengthen our fast paced fintech product team in all functional areas and special requests as needed
Create and deliver documentation and training on reporting and BI tools for business users to enable self-service on company data
Consolidate data across business units and acquisitions with different definitions and measurement.
Ongoing commitment to identify and implement process improvements for operational efficiencies and enhanced analytics as well as maintain existing documentation of control procedures performed by the financial planning and analysis team
Develop SQL models using data warehousing principles (we use dbt).

What We're Looking For
Over 5 years of professional experience in the field of Data Analysis
Proficiency with Data Visualization Tools for at least 2 years
Strong command of SQL
Prior experience in fintech is a big plus
Ability to effectively interpret business requirements and translate them into analytical solutions, insights, and reports
Proficient in standard statistical techniques such as significance testing and regression modeling
Demonstrated eagerness to acquire new technological skills and problem-solving abilities
Familiarity with Snowflake and dbt is beneficial
Preferred qualifications include an advanced degree in mathematics, statistics, computer science, information science, or a related technical field
Excellent communication skills and adept at building relationships with stakeholders; must also be a collaborative team player

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need.

To determine a successful candidate's starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate's skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range

$120,000-$209,000 USD
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