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Data Analyst, Product Analytics

Pay
$130,000–175,000/year · BaseAnnual period assumed — pay source
Familiarity with machine learning techniques and predictive analytics. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

As a Data Analyst, Product Analytics, you will be at the forefront of understanding how our members use and experience Current's products.

  • Analyze large datasets to find trends in customer behavior and the user journey

  • Run root-cause analyses to explain changes in key metrics

  • Design, run, and interpret A/B tests and other experiments

  • Build and maintain dashboards and reports that track KPIs

  • Size opportunities and quantify expected impact for business cases

From the employer’s posting
As a Data Analyst, Product Analytics, you will be at the forefront of understanding how our members use and experience Current's products. You will be embedded with product and business teams across areas such as banking, user journey and experience, liquidity, and value-added services, translating business questions into rigorous analyses and clear recommendations. You will work closely with product managers, engineers, business leads and analytics leaders to measure what matters, run experiments, and uncover the insights that shape our roadmap. You enjoy digging into data to understand not just what happened, but why.
Analyze large datasets to uncover trends, patterns, and opportunities across customer behavior, product performance, and the user journey.
Conduct deep-dive and root-cause analyses to explain changes in key metrics
Design, run, and interpret A/B tests and other experiments, including success metrics, sample sizing, significance testing, and readouts.
Build and maintain dashboards and reports that track KPIs and deliver clear, actionable insights to stakeholders.
Support business cases and prioritization by sizing opportunities and quantifying expected impact.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
  • Familiarity with the fintech industry and banking products.
  • 3+ years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology.
  • Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
  • Strong proficiency in SQL for analyses and data development
  • Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment).
Qualification wording
Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
Familiarity with the fintech industry and banking products.
3+ years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology.
Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
Strong proficiency in SQL for analyses and data development
Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment).
Education & alternatives
ABOUT YOU - Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field. - 3+ years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology.

Benefits in the posting

Full benefits wording
  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities

From the employer’s posting.

Apply at Current

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$130K–$175K against $94.4K–$145K, the middle half of what similar US postings state.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 5 and day 43.

At Current, jobs usually come down by about day 102.

From 14,640 similar postings that came down, and 7 of Current’s. Coming down is not always a hire.

Current is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • dbt
  • Looker
  • Redshift
  • Snowflake
  • Tableau
Where the posting names them
- Strong proficiency in SQL for analyses and data development - Working experience with Python for data analysis. - Experience with A/B testing, experimental design, and statistical inference.
- 3+ years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology. - Strong proficiency in SQL for analyses and data development - Working experience with Python for data analysis.
- Familiarity with the fintech industry and banking products. - Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift). - Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment).
- Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment). - Exposure to dimensional modeling concepts and dbt. - Experience using AI tools to improve analytics efficiency.
- Experience with A/B testing, experimental design, and statistical inference. - Experience building dashboards and reports in Looker, Tableau, or similar BI tools. - Strong analytical and problem-solving skills with attention to detail, and the ability to find the needle in the haystack.

Your next step

Complete your application on current.com. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

DATA ANALYST, PRODUCT ANALYTICS

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.

ABOUT THE ROLE

As a Data Analyst, Product Analytics, you will be at the forefront of understanding how our members use and experience Current's products. You will be embedded with product and business teams across areas such as banking, user journey and experience, liquidity, and value-added services, translating business questions into rigorous analyses and clear recommendations. You will work closely with product managers, engineers, business leads and analytics leaders to measure what matters, run experiments, and uncover the insights that shape our roadmap. You enjoy digging into data to understand not just what happened, but why.

RESPONSIBILITIES

  • Analyze large datasets to uncover trends, patterns, and opportunities across customer behavior, product performance, and the user journey.
  • Conduct deep-dive and root-cause analyses to explain changes in key metrics and turn ambiguous data into clear recommendations.
  • Design, run, and interpret A/B tests and other experiments, including success metrics, sample sizing, significance testing, and readouts.
  • Partner with product managers and engineers to define success metrics and measure the impact of new features and initiatives.
  • Build and maintain dashboards and reports that track KPIs and deliver clear, actionable insights to stakeholders.
  • Support business cases and prioritization by sizing opportunities and quantifying expected impact.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences, including leadership.
  • Use AI tools to speed up analysis, insight generation, and reporting while keeping accuracy and rigor.
  • Work with analytics engineers and data engineers to ensure accessible, accurate, and high-quality data.
  • Uphold data integrity, accuracy, and governance across your analyses and reporting.

ABOUT YOU

  • Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
  • 3+ years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology.
  • Strong proficiency in SQL for analyses and data development
  • Working experience with Python for data analysis.
  • Experience with A/B testing, experimental design, and statistical inference.
  • Experience building dashboards and reports in Looker, Tableau, or similar BI tools.
  • Strong analytical and problem-solving skills with attention to detail, and the ability to find the needle in the haystack.
  • Strong business acumen and the ability to translate business questions into analysis plans.
  • Excellent written and verbal communication skills, with the ability to turn complex data into clear narratives and actionable insights.

NICE TO HAVE

  • Familiarity with the fintech industry and banking products.
  • Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
  • Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment).
  • Exposure to dimensional modeling concepts and dbt.
  • Experience using AI tools to improve analytics efficiency.
  • Familiarity with machine learning techniques and predictive analytics.

This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

BENEFITS

  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches
Source details

View original posting ↗

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Pay
Familiarity with machine learning techniques and predictive analytics. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

Work authorization

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