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.
New York, NY
Actively hiring, first seen by us 3 days agoFamiliarity 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. BENEFITSRead the full posting
Employment type in the employer’s posting: Full-timeFrom 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.
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
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.
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).
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.
From the employer’s posting.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
Complete your application on current.com. The employer’s form will show what is required.
Already applied? Track this application
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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
New York, NY
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.