Business Analytics Analyst

Citi

Pune, INonsitePosted Jul 15, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

hypothesistableaupythonexcelnaturallanguageprocessing

About the role

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Overview

We are seeking a highly motivated and skilled Business Analytics Intermediate Analyst with a specialized focus on Sales and Marketing analytics. The ideal candidate will be instrumental in transforming complex data into actionable insights, driving strategic decision-making, and optimizing our sales and marketing efforts. This role requires a strong analytical mindset, proficiency in various analytical techniques, and excellent communication skills to articulate findings to diverse stakeholders.

Responsibilities

Utilize Python, Pyspark, and SQL to extract, manipulate, and analyze large datasets, to deliver on sales and marketing opportunities and track performance.

Apply strong logical reasoning and problem-solving skills to address complex business challenges within the sales and marketing domain.

Identify significant trends, patterns, and anomalies within sales and marketing data to uncover opportunities and risks.

Conduct in-depth analyses using a variety of analytical methods, including hypothesis testing, customer/market segmentation, time series forecasting, and test vs. control comparisons.

Develop clear, concise, and impactful presentations using MS Excel and PowerPoint to communicate analytical findings and recommendations to business leaders.

Collaborate with sales and marketing teams to understand their analytical needs and deliver insights that support their strategic goals.

Contribute to the continuous improvement of analytical methodologies and data reporting processes.

Qualifications

Must Have

5-8 years relevant experience

Technical Proficiency: Strong expertise in Python, Pyspark, and SQL for data analysis and manipulation.

Data Presentation: Proficient in MS Excel and PowerPoint for data visualization, reporting, and presentation.

Analytical Acumen: Demonstrated strong logical reasoning and problem-solving ability.

Pattern Recognition: Proven proficiency in identifying trends and patterns within data.

Communication: Strong written and verbal communication skills, with the ability to convey complex analytical concepts clearly to non-technical audiences.

Analytical Methods: Extensive experience across different analytical methods, including hypothesis testing, segmentation, time series forecasting, and test vs. control comparison.

Domain Expertise: Direct experience in Sales & Marketing analytics and campaign management.

Good to Have

Machine Learning: Experience with predictive modeling using Machine Learning techniques.

Unstructured Data Analysis: Experience with unstructured data analysis, such as call transcripts, using Natural Language Processing (NLP) or Text Mining.

Industry Background: Experience in the financial services sector. Visualization Tools: Proficiency with Tableau or other data visualization tools.

Education:

Masters (preferred) in Engineering, Technology, Statistics, Economics or similar quantitative disciplines

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

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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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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