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Banamex - Data Science Intmd Analyst - C11

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Time Type: Full time------------------------------------------------------ Most Relevant Skills
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Mine and analyze data from banking platforms to optimize processes and improve data quality

  • Turn analysis into insights and strategic recommendations with clear data displays

  • Scope analytics projects, including data needs, effort and project plan

  • Lead system changes from requirements through implementation and support business users

  • Consult with business clients to define system functional specifications

From the employer’s posting
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Leads system change process from requirements through implementation; provides user and operational support of application to business users
Consults with business clients to determine system functional specifications

What you’ll bring

All qualifications

Core experience

  • 2-5 years using statistical modeling tools on large data sets
  • Proficient in Microsoft Office tools
  • Complex analytical, interpretive and problem solving skills
  • Strong communication, influencing and partnering skills
Qualification wording
2-5 years experience using tools for statistical modeling of large data sets
Proficient in Microsoft
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated influencing, facilitation and partnering skills
Education & alternatives
- Proficient in Microsoft Education: - Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Data scientist de 2 años de experiencia
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Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 8, 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

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 7 and day 57.

At Citi, jobs usually come down by about day 16.

From 10,558 similar postings that came down, and 1,282 of Citi’s. Coming down is not always a hire.

Citi is hiring

162 open jobs

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

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 5% of open jobs were reposted
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
Where the posting names them
Habilidades proactividad y autónomos Programación Python Estadística

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About Citi

People
About 226,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as C.
H-1B visas
1 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

The Data Science Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities:
  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality
  • Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
  • Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
  • Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions
  • Leads system change process from requirements through implementation; provides user and operational support of application to business users
  • Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
  • Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams
  • Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts
  • Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
  • Performs other duties and functions as assigned
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:
  • 2-5 years experience using tools for statistical modeling of large data sets
  • Ability to effectively use complex analytical, interpretive and problem solving techniques
  • Analytical, flexible, team-oriented and has good interpersonal/communication skills
  • Demonstrated influencing, facilitation and partnering skills
  • Proficient in Microsoft

Education:
  • Bachelor’s/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Data scientist de 2 años de experiencia

Habilidades proactividad y autónomos

Programación Python

Estadística

Curiosidad por estarse preparando

 

Entrenamientos de modelos de machine learning

Analytics

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Job Family Group:

Technology

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Job Family:

Data Science

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Source details

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Location & working pattern

México D.F., Cdmx, MX

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