Business Analytics Intermediate Analyst - Sales and Marketing Analytics
Citi · Haryana, India
- On site
- Full-time
- $100,000 / year
- Haryana, India
Job highlights
- Analyze sales and marketing data using Python, Pyspark, SQL.
- Identify trends, patterns, and opportunities in data.
- Communicate findings to stakeholders with presentations.
- Collaborate with sales and marketing teams.
- Improve analytical methodologies and reporting processes.
About the role
Business Analytics Intermediate Analyst - Sales and Marketing Analytics
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
- 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.
Key skills/competency
- Python
- Pyspark
- SQL
- MS Excel
- MS PowerPoint
- Data Analysis
- Sales Analytics
- Marketing Analytics
- Statistical Analysis
- Communication
Skills & topics
- Business Analytics
- Sales Analytics
- Marketing Analytics
- Data Analysis
- Python
- Pyspark
- SQL
- MS Excel
- MS PowerPoint
- Data Visualization
- Decision Management
- Business Analysis
How to get hired
- Tailor your resume: Highlight Python, Pyspark, SQL, and sales/marketing analytics experience.
- Showcase analytical skills: Emphasize problem-solving, trend identification, and forecasting abilities.
- Demonstrate communication: Provide examples of presenting complex data to diverse audiences.
- Quantify achievements: Use numbers to show the impact of your insights on sales/marketing.
- Research Citi: Understand their values and how your skills align with their goals.
Technical preparation
Master Python, Pyspark, and SQL for data manipulation.,Practice data visualization with Excel and PowerPoint.,Study hypothesis testing and forecasting methods.,Familiarize with sales and marketing campaign analysis.
Behavioral questions
Describe a complex business problem you solved.,How do you identify trends in large datasets?,Explain a technical concept to a non-technical person.,How do you prioritize tasks when working with teams?
Frequently asked questions
- What are the key technical skills required for the Business Analytics Intermediate Analyst role at Citi?
- The Business Analytics Intermediate Analyst role at Citi requires strong technical proficiency in Python, Pyspark, and SQL for data extraction, manipulation, and analysis. Additionally, proficiency in MS Excel and PowerPoint for data presentation and reporting is essential.
- What kind of analytical methods is Citi looking for in this Sales and Marketing Analytics role?
- Citi is looking for extensive experience in various analytical methods, including hypothesis testing, customer/market segmentation, time series forecasting, and test vs. control comparisons for this role. Strong logical reasoning and pattern recognition abilities are also crucial.
- How important is prior experience in Sales and Marketing analytics for this position?
- Direct experience in Sales & Marketing analytics and campaign management is considered a 'Must Have' qualification for this Business Analytics Intermediate Analyst position at Citi, indicating its high importance.
- Are there any 'good to have' skills that would make a candidate stand out for this role?
- Yes, 'good to have' skills that would make a candidate stand out include experience with Machine Learning for predictive modeling, unstructured data analysis using NLP or Text Mining, experience in the financial services sector, and proficiency with data visualization tools like Tableau.
- What is the primary goal of the Business Analytics Intermediate Analyst at Citi?
- The primary goal is to transform complex data into actionable insights that drive strategic decision-making and optimize sales and marketing efforts for Citi.
- How does Citi expect candidates to present their analytical findings?
- Citi expects candidates to develop clear, concise, and impactful presentations using MS Excel and PowerPoint to communicate analytical findings and recommendations effectively to business leaders.
- What level of collaboration is expected in this role?
- Collaboration is key; the analyst is expected to work closely with sales and marketing teams to understand their analytical needs and deliver insights that support their strategic goals.
- Does Citi encourage continuous improvement in analytical processes for this role?
- Yes, contributing to the continuous improvement of analytical methodologies and data reporting processes is a listed responsibility, indicating Citi values innovation in its analytics functions.