Marketing data senior analyst

📌 Core Information

🔹 Job Title: Marketing Data Senior Analyst

🔹 Company: Nasdaq

🔹 Location: Bangalore, Karnataka, India

🔹 Job Type: Full-Time

🔹 Category: Marketing

🔹 Date Posted: April 21, 2025

🔹 Experience Level: Mid-Senior level (5-10 years)

🔹 Remote Status: On-site (Hybrid, 3 days/week in office)

🚀 Job Overview

Key aspects of this role include:

• Supporting Nasdaq’s Marketing group by tracking and drawing insights from their efforts
• Working with a team to deliver and enhance a data architecture and platform for the analytics team
• Building and maintaining a powerful analytics architecture to drive marketing efforts
• Staying ahead of the curve by mastering new tools and technologies in the data and cloud engineering domain

ASSUMPTION: This role requires a balance of technical skills and business acumen to effectively support the Marketing group and drive data-driven decision-making.

📋 Key Responsibilities

✅ Develop and maintain the analytics platform, including AWS cloud infrastructure, ETL data pipelines, and data lake

✅ Own the development of the data platform for the Marketing team, capturing requirements, designing architecture, and implementing solutions to optimize marketing strategy

✅ Learn and grow by staying up-to-date with new tools and technologies in the data and cloud engineering domain

✅ Collaborate with cross-functional teams to ensure data accuracy, consistency, and accessibility

✅ Troubleshoot and resolve data-related issues, and optimize data flows and storage

ASSUMPTION: This role involves a mix of hands-on data engineering tasks and strategic planning to support the Marketing team's goals.

🎯 Required Qualifications

Education: Bachelor’s Degree in Computer Science or a related field

Experience: At least 4 years of experience as a Data Engineer or in a similar role

Required Skills:

• Proficient in SQL and Python
• Expertise in AWS cloud platform and Terraform
• Experience with ETL/ELT tools (e.g., Lambda, dbt, Databricks) and administering databases
• Strong conceptual knowledge of Spark and Hadoop
• Familiarity with REST APIs and data pipeline development
• Ability to work with both SQL and NoSQL data

Preferred Skills:

• Experience with Power BI or Graph Data
• Strong project management skills
• Familiarity with the financial services industry

ASSUMPTION: The ideal candidate will have a strong technical background in data engineering, with a proven track record of delivering data-driven solutions in a fast-paced environment.

💰 Compensation & Benefits

Salary Range: INR 15-20 lakhs per annum (Estimated based on industry standards for mid-senior level data engineering roles in Bangalore)

Benefits:

• Bonuses
• Equity Grants
• Comprehensive Health and Wellness Programs

Working Hours: Full-time (40 hours/week), with flexible hybrid work arrangement (3 days/week in office)

ASSUMPTION: The salary range is estimated based on industry standards for mid-senior level data engineering roles in Bangalore. Actual compensation may vary based on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Financial Services. Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services.

Company Size: Large (1,001-5,000 employees). Nasdaq offers a vibrant and entrepreneurial work environment where employees are encouraged to take initiative and challenge the status quo.

Founded: Nasdaq was founded in 1971 and has since grown into a global organization with offices in multiple countries.

Company Description:

• Nasdaq powers stronger economies by driving growth and innovation through its diverse range of products and services
• The company is committed to advancing economic progress for all and creating more equitable opportunities
• Nasdaq fosters a culture where employees feel connected, supported, and empowered to bring their authentic selves to work

Company Specialties:

• Technology Solutions
• Financial Markets
• Global Trading
• Equities
• Market Technology
• Market Services
• Fixed Income
• Derivatives
• Corporate Solutions
• Global Index Services
• Listing Services
• Nasdaq MarketSite

Company Website: Nasdaq.com

ASSUMPTION: Nasdaq's diverse range of products and services allows for various career growth opportunities within the company.

📊 Role Analysis

Career Level: Mid-Senior level. This role requires a balance of technical expertise and business acumen to effectively support the Marketing group and drive data-driven decision-making.

Reporting Structure: The Marketing Data Senior Analyst will report directly to the Head of Analytics for the Marketing group.

Work Arrangement: Hybrid (3 days/week in office). This flexible work arrangement allows for a balance between collaboration and remote work.

Growth Opportunities:

• Working on impactful projects that drive marketing efforts and optimize strategies
• Learning and growing by mastering new tools and technologies in the data and cloud engineering domain
• Collaborating with cross-functional teams to expand skills and knowledge
• Potential career progression into senior or management roles within the Analytics or Marketing teams

ASSUMPTION: This role offers opportunities for both technical and professional growth, as well as the chance to work on high-impact projects that drive marketing efforts.

🌍 Location & Work Environment

Office Type: Vibrant and entrepreneurial. Nasdaq's Bangalore office is one of the largest and most vibrant offices globally, both culturally and technically.

Office Location(s): Affluence office in Bangalore, India

Geographic Context:

• Bangalore is the capital of the Indian state of Karnataka and is known for its thriving tech industry
• The city offers a mix of traditional and modern culture, with numerous historical sites, parks, and entertainment options
• Bangalore has a tropical savanna climate, with warm and humid weather throughout the year

Work Schedule: Full-time (40 hours/week), with flexible hybrid work arrangement (3 days/week in office)

ASSUMPTION: The hybrid work arrangement allows for a balance between collaboration and remote work, while the vibrant office environment fosters innovation and creativity.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR team
• Technical interview with the Analytics team
• Final interview with the Head of Analytics for the Marketing group

Key Assessment Areas:

• Technical skills in data engineering and analytics
• Problem-solving abilities and analytical thinking
• Communication and collaboration skills
• Alignment with Nasdaq's company values and culture

Application Tips:

• Tailor your resume to highlight relevant skills and experiences for this role
• Prepare for technical interview questions by brushing up on your data engineering and analytics skills
• Research Nasdaq's company values and culture to demonstrate your alignment with the organization

ATS Keywords: Data Engineering, Analytics, SQL, Python, AWS, Terraform, ETL, Data Pipeline, Marketing, Optimization, Strategy

ASSUMPTION: The interview process for this role will focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit with Nasdaq's organization.

🛠️ Tools & Technologies

• AWS cloud platform
• Terraform
• ETL/ELT tools (e.g., Lambda, dbt, Databricks)
• SQL and NoSQL databases
• REST APIs
• Data pipeline development tools
• Power BI or Graph Data (bonus points if experienced)

ASSUMPTION: The required tools and technologies for this role are industry-standard and widely used in data engineering and analytics.

👔 Cultural Fit Considerations

Company Values:

• Innovation
• Collaboration
• Integrity
• Accountability
• Respect
• Excellence

Work Style:

• Entrepreneurial and vibrant
• Collaborative and team-oriented
• Focused on driving growth and innovation

Self-Assessment Questions:

• Do you thrive in an entrepreneurial and collaborative work environment?
• Are you passionate about driving growth and innovation through data-driven decision-making?
• Do you possess strong technical skills in data engineering and analytics, as well as excellent communication and collaboration skills?

ASSUMPTION: Nasdaq values employees who are innovative, collaborative, and committed to driving growth and innovation through data-driven decision-making.

⚠️ Potential Challenges

• Working with large and complex datasets, requiring strong data management and optimization skills
• Keeping up with the latest tools and technologies in the data and cloud engineering domain
• Balancing technical tasks with strategic planning and collaboration with cross-functional teams
• Adapting to a hybrid work arrangement, requiring strong communication and time management skills

ASSUMPTION: These challenges can be overcome with strong technical skills, adaptability, and a commitment to continuous learning and growth.

📈 Similar Roles Comparison

• Compared to other data engineering roles, this position places a stronger emphasis on supporting marketing efforts and driving data-driven decision-making
• Industry-specific context: The financial services industry requires a strong understanding of market trends and customer behavior to drive growth and innovation
• Career path comparison: This role offers opportunities for both technical and professional growth, with potential progression into senior or management roles within the Analytics or Marketing teams

ASSUMPTION: This role offers unique opportunities for growth and impact within the Marketing group, while also providing a strong foundation in data engineering and analytics.

📝 Sample Projects

• Developing and maintaining a powerful analytics architecture to drive marketing efforts
• Optimizing data flows and storage to improve data accessibility and consistency
• Collaborating with cross-functional teams to ensure data accuracy and integrity

ASSUMPTION: These sample projects highlight the technical and strategic aspects of the Marketing Data Senior Analyst role.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the Analytics group for the Marketing team?
• How does this role support the overall goals and objectives of the Marketing group?
• What are the most pressing data-related challenges currently facing the Marketing team, and how can this role address them?
• What opportunities are there for growth and development within this role and the Analytics team?
• How does Nasdaq support work-life balance for employees working in a hybrid arrangement?

ASSUMPTION: These interview questions are designed to provide insight into the role's responsibilities, team dynamics, and growth opportunities, as well as Nasdaq's work environment and culture.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the application link
• Tailor your resume to highlight relevant skills and experiences for this role
• Prepare for technical interview questions by brushing up on your data engineering and analytics skills
• Research Nasdaq's company values and culture to demonstrate your alignment with the organization
• Follow up with the HR team one week after submitting your application to confirm receipt and inquire about the next steps in the interview process

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.