Marketing Analytics Analyst - Python, SQL and Machine Learning
At a glance
Mid-level Marketing Analytics role at Citi. Pune Maharashtra India · full-time.
Pay not stated Marketing Analytics salary
growthroles summary, based on the employer's posting.
What you'll do
- Analyze acquisition, engagement, client experience, and retention questions across the TTS client lifecycle
- Combine client, transaction, revenue, digital, and unstructured data to produce stakeholder insights
- Turn commercial questions into analytical methods, predictive models, and go-to-market recommendations
- Use Python or R, SQL, and big-data environments to retrieve and transform information
- Present complex findings clearly to business leaders and help develop junior colleagues
What you bring
- A bachelor’s degree plus five to eight years in data analytics, or a master’s degree plus four to eight years
- Hands-on marketing analytics experience covering sales strategy, pricing, cross-sell, client experience, or retention
- Experience with hypothesis tests, segmentation, forecasting, test-control comparisons, and machine-learning models
- Natural language processing or text-mining experience with unstructured material such as call transcripts
- Proficiency in Python or R, SQL, Excel, and PowerPoint
Who this fits
You’ll fit a mid-level analytics role that combines hands-on data work with business-facing recommendations and presentations. The work suits someone comfortable across marketing analytics, predictive modeling, varied data sources, and complex commercial questions. This is a hybrid full-time position in India, reporting to an AVP and including coaching for junior colleagues.
From the employer
What do we do?
- The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
- The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
- The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team
- The role will report to the AVP leading the team
- The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business
- This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders
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:
- Marketing analytics experience
- Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
- 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/R, SQL
- Experience in Hive
- Proficient in MS Excel, PowerPoint
- Good to have:
- Experience with PySpark
- Experience with Tableau
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.
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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.
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