Pyspark Data Analyst
Pune Maharashtra India
- 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 listing: Full time
From the employer’s posting
What you’ll work on
Full postingGather operational data from cross-functional stakeholders to review past performance
Identify data patterns and trends to support business decisions
Recommend actions, strategic opportunities and policy enhancements
Explore new data sources, tools and capabilities to improve processes
Build, implement and track decision strategies with business partners
From the employer’s posting
Gathers operational data from various cross functional stakeholders to examine past business performance.
Identifies data patterns & trends, and provides insights to enhance business decision making capability
Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
What you’ll bring
All qualificationsCore experience
- Bachelor’s Degree with 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD.
- Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs.
- Experience with unstructured data analysis, e.g.
- Proficient in converting business problems into analytical tasks, and analytical findings into business insights
- Proficient in Python, SQL
- Proficient in MS Excel, PowerPoint
Qualification wording
Bachelor’s Degree with 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD.
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
Proficient in converting business problems into analytical tasks, and analytical findings into business insights
Proficient in Python, SQL
Proficient in MS Excel, PowerPoint
Education & alternatives
Experience: - Bachelor’s Degree with 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD. - Must have:- Advanced process management skills, organized and detail oriented
Tools in this posting
- Python
- SQL
- Excel
- Hive
- Tableau
- PySpark
Source — Tool mentions in context
Tools and Platforms: - Proficient in Python, SQL - Experience in Hive
- Experience with Tableau - Proficient in MS Excel, PowerPoint Soft Skills:
- Proficient in Python, SQL - Experience in Hive - Experience with PySpark
- Experience with PySpark - Experience with Tableau - Proficient in MS Excel, PowerPoint
- Experience in Hive - Experience with PySpark - Experience with Tableau
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 13, 2026 · 8 days ago
- Recorded sightings
- 33
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
The Business Analytics Int 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 sub function/ 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:
- Gathers operational data from various cross functional stakeholders to examine past business performance.
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
- 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
Experience:
- Bachelor’s Degree with 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD.
- Must have:
- Advanced process management skills, organized and detail oriented
- Curious about learning and developing new skillsets
- Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
- Predictive modeling using Machine Learning
- Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
- Good to have:
- Experience in financial services
- Experience working with data from different sources and of different complexity
Skills:
Analytical Skills:
- Strong logical reasoning and problem-solving ability
- Proficient in converting business problems into analytical tasks, and analytical findings into business insights
- Proficient in formulating analytical methodology, identifying trends and patterns with data
- Has the ability to work hands-on to retrieve and manipulate data from big data environments
Tools and Platforms:
- Proficient in Python, SQL
- Experience in Hive
- Experience with PySpark
- Experience with Tableau
- Proficient in MS Excel, PowerPoint
Soft Skills:
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Should have excellent communication and inter-personal skills
- Strong process/project management skills
- Ability to coach and mentor juniors
- Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune Maharashtra India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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