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Data and Analytics Engineer

Reads like an Analyst role: dashboards and reporting.

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
  • Design and maintain KPIs, operational reports, and dashboards for DWCS services

  • Analyze multi-source data to spot access risks, anomalies, and trends

  • Build and optimize batch and real-time ETL/ELT pipelines and SQL queries

  • Present interactive visualizations and findings to stakeholders and leadership

  • Run ad-hoc analyses for urgent security and operational questions

From the employer’s posting
Design, build, and maintain Key Performance Indicators (KPIs), operational reports, and dashboards
Analyze large, multi-source datasets to identify trends, patterns, anomalies, and potential security risks
Build, maintain, and optimize batch and real-time ETL/ELT pipelines, SQL queries
Create compelling, interactive data visualizations and present analytical findings to stakeholders and leadership
Perform exploratory and ad-hoc data analyses across multi-source DWCS datasets to address urgent security/operational queries
Apply at Citi

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 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 1

Early. Similar jobs usually come down between day 5 and day 41.

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

From 11,597 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.

  • Analyst hiring is picking up
  • 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
  • SQL
  • Excel
  • Tableau
Where the posting names them
● Experience: 5–8 years of relevant experience in data analytics, business intelligence, or data engineering. ● Data Analysis & Tools: Strong proficiency with data analysis and scripting tools such as SQL, Python, and Excel. ● Data Engineering: Proven experience in building and optimizing ETL/ELT data pipelines, managing batch/real-time data ingestion, and writing complex SQL queries for large, multi-source datasets.
● Ad-Hoc Analysis & Decision Support: Perform exploratory and ad-hoc data analyses across multi-source DWCS datasets to address urgent security/operational queries and deliver actionable insights for leadership. ● Data Engineering & Pipeline Maintenance: Build, maintain, and optimize batch and real-time ETL/ELT pipelines, SQL queries, and automated data refresh processes to ensure clean, reliable, and timely data feeds for BI and reporting platforms. ● Collaboration: Partner with operations, engineering, cybersecurity, and governance teams to understand their data requirements and deliver ongoing analytical support.
● Data Analysis & Tools: Strong proficiency with data analysis and scripting tools such as SQL, Python, and Excel. ● Data Engineering: Proven experience in building and optimizing ETL/ELT data pipelines, managing batch/real-time data ingestion, and writing complex SQL queries for large, multi-source datasets. ● Data Visualization: Hands-on expertise with enterprise data visualization tools such as Tableau.
● Data Engineering: Proven experience in building and optimizing ETL/ELT data pipelines, managing batch/real-time data ingestion, and writing complex SQL queries for large, multi-source datasets. ● Data Visualization: Hands-on expertise with enterprise data visualization tools such as Tableau. ● Core Skills: Excellent analytical, problem-solving, and written/verbal communication skills.

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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 Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 966, the most 1,389, and the latest week had 1,357.
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 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 ↗

Job Summary


We are seeking a data-driven professional to join our DWCS (Digital Workplace and Client Services) Data and Analytics team. In this role, you will be responsible for transforming complex data into clear, actionable insights. You will develop and manage key metrics, automated data pipelines, and interactive dashboards that provide visibility into the effectiveness of our access control environment, helping to identify security risks and drive strategic improvements.

 

Key Responsibilities

●                       Develop & Maintain Metrics: Design, build, and maintain Key Performance Indicators (KPIs), operational reports, and dashboards to monitor the health, compliance, and effectiveness of DWCS services.

●                       Data Analysis & Anomaly Detection: Analyze large, multi-source datasets to identify trends, patterns, anomalies, and potential security risks related to user access, entitlements, client services and privileged accounts.

●                       Reporting & Visualization: Create compelling, interactive data visualizations and present analytical findings to stakeholders and leadership to support data-driven decision-making.

●                       Advanced Analytics, Predictive Modeling & AI Integration: Responsible for developing, validating, and applying statistical models, predictive analytics, and Generative/Agentic AI workflows to enhance analytical capabilities, automate complex data reasoning, and deliver forward-looking security intelligence.

●                       Ad-Hoc Analysis & Decision Support: Perform exploratory and ad-hoc data analyses across multi-source DWCS datasets to address urgent security/operational queries and deliver actionable insights for leadership.

●                       Data Engineering & Pipeline Maintenance: Build, maintain, and optimize batch and real-time ETL/ELT pipelines, SQL queries, and automated data refresh processes to ensure clean, reliable, and timely data feeds for BI and reporting platforms.

●                       Collaboration: Partner with operations, engineering, cybersecurity, and governance teams to understand their data requirements and deliver ongoing analytical support.

●                       Process Improvement & Data Integrity: Identify opportunities to automate reporting processes, establish data quality frameworks, and enhance data integrity across source systems.

 

Qualifications and Competencies: -


Basic Qualifications


●                     Experience: 5–8 years of relevant experience in data analytics, business intelligence, or data engineering.

●                       Data Analysis & Tools: Strong proficiency with data analysis and scripting tools such as SQL, Python, and Excel.

●                       Data Engineering: Proven experience in building and optimizing ETL/ELT data pipelines, managing batch/real-time data ingestion, and writing complex SQL queries for large, multi-source datasets.

●                       Data Visualization: Hands-on expertise with enterprise data visualization tools such as Tableau.

●                       Core Skills: Excellent analytical, problem-solving, and written/verbal communication skills.

Preferred Qualifications

●                       Advanced Analytics & AI (Preferred): Familiarity with statistical/predictive modeling (forecasting, regression), Generative AI (LLMs, RAG), and Agentic AI frameworks (e.g., LangGraph, CrewAI, tool-calling) to automate data reasoning and analytics workflows.

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Job Family Group:

Technology

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Job Family:

Systems & Engineering

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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.

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Chennai, TN, IN

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