Senior Data Analyst

Navan
Palo Alto; San Francisco, US
On-siteCareer-pivot friendly

Who this role is best for

Geared toward experienced data analysts comfortable with fintech environments who can navigate complex stakeholder landscapes and deliver end-to-end data solutions.

Best fit for

  • Fintech-experienced analysts who thrive in cross-functional collaboration.
    — “work closely with the expense team and stakeholders from across the business
  • Senior analysts capable of translating business needs into SQL models.
    — “Provide data solutions end-to-end (working with raw data, developing SQL models
  • Curious problem-solvers who balance speed with long-term quality.
    — “deal with multiple moving pieces while still holding up quality, long-term thinking

Things to consider

  • Must consolidate data from acquisitions with differing definitions.
    — “Consolidate data across business units and acquisitions with different definitions
  • Requires ongoing documentation of financial control procedures.
    — “maintain existing documentation of control procedures performed by the financial planning

How to stand out

  • Showcase projects where you enabled self-service analytics.
    — “enable self-service on company data
  • Highlight fintech experience in your application materials.
    — “Prior experience in fintech is a big plus
  • Demonstrate your ability to simplify complex data for stakeholders.
    — “effectively interpret business requirements and translate them into analytical solutions
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • identify trends and opportunities for growth
  • provide data solutions end-to-end
Typical background
data analysisfintech

Skills & requirements

Required

Data AnalysisSQLData VisualizationStatistical TechniquesFintech

Preferred

Snowflakedbt

Stack & domain

SQLSnowflakedbtData Visualization ToolsData Warehousing PrinciplesData AnalysisData ModelingData ReportingData ConsolidationProcess ImprovementStatistical TechniquesSignificance TestingRegression ModelingCommunicationProblem-solvingTeamworkCollaborationCustomer ServiceFintechFinanceEngineeringSalesMarketingOperations

About the role

Original posting from Navan

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

Preferred Bachelor’s degree or equivalent experience

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

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$105,450—$234,400 USD

Source: Navan careers

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