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Senior Data and Analytics Engineer - Assistant Vice President
Pune Maharashtra India
Actively hiring, first seen by us today- 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 postingDesign and maintain KPIs, operational reports, and dashboards on DWCS service health
Analyze multi-source data to spot anomalies and security risks in access and entitlements
Build and optimize batch and real-time ETL/ELT pipelines and SQL queries
Develop and apply statistical and predictive models, including Generative and Agentic AI workflows
Present analytical findings and visualizations to stakeholders and leadership
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
developing, validating, and applying statistical models, predictive analytics, and Generative/Agentic AI workflows
present analytical findings to stakeholders and leadership
What you’ll bring
All qualificationsCore experience
- Experience: 8+ years of relevant experience in data analytics, business intelligence, or data engineering.
Qualification wording
Experience: 8+ years of relevant experience in data analytics, business intelligence, or data engineering.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 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
Citi is hiring
132 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 2% of open jobs were reposted
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: 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.
Your next step
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About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking a data-driven professional to join our OT Risk team. In this role, you will be responsible for transforming complex data into clear, actionable insights. You will develop and manage key data modules, automated data pipelines, and interactive dashboards that provide visibility into the effectiveness of our Risk and Control environment, helping to identify 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.
- 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.
- Reporting & Visualization: Create compelling, interactive data visualizations and present analytical findings to stakeholders and leadership to support data-driven decision-making.
Qualifications and Competencies: -
Basic Qualifications
- Experience: 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------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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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Pune Maharashtra India
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