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# BAP – Data Analyst

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/binance.md)Share1 Sep 2026Published29Listing views1Application actions1 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryThis is a Data Analyst internship on Binance’s Risk/Data team, supporting SQL-based data pipelines, analytics workflows, data standardization, and quality monitoring. The intern will contribute to address parsing, entity resolution, data models, dashboards, reporting, and ad-hoc analysis under senior-team mentorship. The role requires current enrollment in a relevant quantitative or technical degree program, solid SQL skills, and basic Python or another scripting language. It is well suited to an early-career candidate seeking practical exposure to large-scale data processing, risk control, and fraud-detection use cases. Availability of at least three days per week for a minimum three-month internship is required.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

3/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

3/5GuidedFull ownership

### Communication Load

3/5IndependentCollaborative

AI insightThe position is an entry-level internship with mentorship, but it involves production-oriented data pipelines, normalization problems, and large-scale analytics. Success requires sound SQL fundamentals, careful data-quality work, and the ability to learn technical tooling such as Hive or Spark SQL quickly.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$56,160US market range$46k–$67k0$73k

AI insightNo numerical compensation is disclosed; “competitive salary” is not sufficient to extract an actual offer. The figures shown are estimated US-market annualized compensation for a Data Analyst Intern, based on an approximate hourly market range of $22-$32 for comparable technical internships; actual pay may differ substantially by location, schedule, and internship structure.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Data Analysis](https://jobicy.com/jobs?search_keywords=Data%20Analysis.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[Data Quality](https://jobicy.com/jobs?search_keywords=Data%20Quality.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Dashboards](https://jobicy.com/jobs?search_keywords=Dashboards.md)[Hive](https://jobicy.com/jobs?search_keywords=Hive.md)[Spark SQL](https://jobicy.com/jobs?search_keywords=Spark%20SQL.md)[Risk Analytics](https://jobicy.com/jobs?search_keywords=Risk%20Analytics.md)

Sample interview questionsHow would you investigate duplicate customer records when names and addresses are inconsistently formatted?I would first profile the fields to understand common formatting issues, then standardize values such as case, punctuation, abbreviations, and address components. I would use deterministic matches for strong identifiers and similarity-based rules for weaker fields, validate match quality with samples, and document thresholds and known limitations.

Describe how you would validate the quality of a daily SQL data pipeline output.

I would define checks for row counts, freshness, null rates, uniqueness, referential integrity, expected value ranges, and comparisons with historical volumes. I would automate the checks where possible, set alerts for material deviations, and investigate failures by tracing the issue back through source tables and transformations.

What steps would you take to optimize a slow SQL query on a large dataset?

I would review the execution plan, reduce unnecessary columns and scans, filter data early, and check join keys and join order. In distributed tools such as Spark or Hive, I would also consider partition pruning, avoiding data skew, and using appropriate aggregations or intermediate tables when justified.

How would you present an ad-hoc risk analysis to stakeholders with different technical backgrounds?

I would begin with the business question, key finding, and recommended action in plain language. I would use a concise dashboard or visual summary, clearly state assumptions and data limitations, and keep supporting technical detail available for stakeholders who need to examine the methodology.

Why are you interested in data analytics in risk control or fraud detection?

I am interested in the combination of analytical rigor and real-world impact. Risk and fraud problems require identifying meaningful patterns in complex data, balancing false positives and false negatives, and continuously improving controls as behavior changes, which makes the work both challenging and valuable.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We’re looking for a Data Analyst Intern to join the Risk/Data team. The intern will support data pipeline development, SQL-based analytics, and data standardization initiatives under the guidance of senior team members. This is a great opportunity to gain hands-on experience with large-scale data processing in a real business environment.

### Responsibilities:

* Assist in developing and maintaining SQL-based data pipelines and analytics workflows
* Support data standardization and normalization projects (e.g., address parsing, entity resolution)
* Help build and optimize data models, dashboards, and reports
* Conduct ad-hoc data analysis under mentorship and present findings to the team
* Assist in monitoring data quality and implementing validation logic
* Collaborate with team members on cross-functional data projects

### Requirements:

* Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field
* Solid SQL skills, familiarity with Hive/Spark SQL is a plus
* Basic proficiency in at least one scripting language (Python preferred)
* Strong interest in data analytics, risk control, or fraud detection
* Good communication skills, eagerness to learn and take initiative
* Available for at least 3 days per week, minimum 3-month internship duration

### Compensation

### Additional Information

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our [Candidate Privacy Notice](https://www.binance.com/en/candidate/privacy/notice).

Show more

[Apply now >](https://jobicy.com/jobs/152307-bap-data-analyst.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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