REMOTE (INDIA): Marketing Data Analyst

📌 Core Information

🔹 Job Title: Marketing Data Analyst (Remote)

🔹 Company: Marrina Decisions

🔹 Location: India (Remote)

🔹 Job Type: Remote (India)

🔹 Category: Marketing

🔹 Date Posted: April 17, 2025

🔹 Experience Level: Mid-Level (2-5 years)

🔹 Remote Status: Fully Remote

🚀 Job Overview

Key aspects of this role include:

• Transforming raw data into actionable insights to drive business decisions
• Developing and implementing data strategies to support business objectives
• Collaborating with cross-functional teams to identify data needs and opportunities
• Staying up-to-date with the latest data technologies and trends

ASSUMPTION: This role requires a strong focus on data analysis and interpretation, with a significant portion of time dedicated to complex data analysis and modeling.

📋 Key Responsibilities

✅ Develop and implement data strategies to support business objectives

✅ Conduct complex data analysis to uncover insights and trends

✅ Build and maintain data models and pipelines

✅ Develop and implement data-driven marketing strategies

✅ Analyze marketing campaign performance and provide actionable insights

✅ Create interactive dashboards and reports to communicate findings

✅ Conduct customer segmentation and profiling

✅ Identify opportunities for marketing optimization

✅ Collaborate with marketing teams to measure campaign effectiveness

✅ Collaborate with cross-functional teams to identify data needs and opportunities

✅ Provide data-driven recommendations to improve business performance

✅ Stay up-to-date with the latest data technologies and trends

ASSUMPTION: This role requires a high level of independence and self-motivation, as well as strong communication skills to effectively convey complex findings to both technical and non-technical audiences.

🎯 Required Qualifications

Education: Bachelor's degree in Statistics, Mathematics, Economics, or a related field

Experience: 3+ years of experience in data analysis and business intelligence

Required Skills:

• Advanced proficiency in SQL and Python
• Strong statistical knowledge and ability to apply statistical methods to solve complex problems
• Expertise in data visualization tools (Tableau, Power BI, Looker, etc.) to create compelling and informative dashboards
• Excellent problem-solving and analytical skills to identify patterns, trends, and insights from large datasets
• Strong communication skills to effectively convey complex findings to both technical and non-technical audiences
• Data modeling and ETL experience to transform raw data into actionable insights
• Operationally focused with a strong reliance on process and standards
• Keen attention to detail and accuracy in reporting
• Comfortable working across teams and seeking alignment to help maintain a best-in-class marketing operations framework
• Collaborative and highly communicative with team, peers, partners, and executives
• Ready to learn and solve problems both in isolation and in a team environment
• Must know Excel or Google Sheets - power user status is highly desired (Pivot Tables, VLOOKUP, conditional formatting, Flash Fill, etc.)

Preferred Skills:

• Experience with machine learning or predictive modeling techniques
• Domain expertise in B2B Marketing
• Leadership skills to mentor junior analysts and guide data initiatives
• Business acumen to understand the organization's goals and translate data into actionable recommendations
• Project management skills to manage multiple projects and prioritize tasks effectively

ASSUMPTION: While not explicitly stated, it is assumed that the candidate should have a strong understanding of marketing metrics and a passion for process improvement.

💰 Compensation & Benefits

Salary Range: INR 8-12 lakhs per annum (Estimated based on industry standards for a mid-level data analyst role in India)

Benefits:

• Health Benefits
• Paid Vacation
• Paid Holidays
• Paid Sick Time
• Ongoing Training Programs

Working Hours: Full-time (40 hours/week) with flexible hours

ASSUMPTION: The salary range provided is an estimate based on industry standards for a mid-level data analyst role in India. The actual salary may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Marrina Decisions operates in the Advertising Services industry, focusing on email marketing, marketing automation, and digital marketing solutions.

Company Size: Marrina Decisions has 51-200 employees, which means the company is mid-sized and offers opportunities for growth and career advancement.

Founded: Marrina Decisions was founded in 2013 and is headquartered in Santa Clara, California, USA.

Company Description:

• Marrina Decisions is a leading email marketing agency that specializes in creating high-impact responsive email campaigns.
• The company offers a proven process for email production, ensuring quick execution and excellent results.
• Marrina Decisions focuses on strategy, development, and launch, providing end-to-end email marketing solutions.

Company Specialties:

• Email Marketing
• Marketing Automation
• Digital Marketing
• Staffing Services
• Email Marketing Agency
• Marketing Agency
• Marketing Solutions
• Marketing Analytics
• Account-Based Marketing
• Email QA
• Email Design
• Email Template Design
• Lead Generation
• Revenue Generation
• Marketing Operations
• Martech
• Marketing Technology
• Marketing Strategy
• Campaign Management
• Campaign Execution
• Marketo Consultant
• Marketo Services

Company Website: http://www.marrinadecisions.com/

ASSUMPTION: Marrina Decisions is an established company with a strong focus on email marketing and related services. The company's size and industry experience provide a stable and supportive work environment for employees.

📊 Role Analysis

Career Level: This role is suitable for a mid-level data analyst with 2-5 years of experience in data analysis and business intelligence.

Reporting Structure: The data analyst will report directly to the marketing team or a dedicated data analytics manager.

Work Arrangement: This is a fully remote position based in India, with flexible working hours.

Growth Opportunities:

• Potential to mentor junior analysts and guide data initiatives
• Opportunity to work with a diverse range of clients and industries
• Chance to gain experience in marketing automation and digital marketing solutions

ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to advance to a senior or leadership position within the data analytics team.

🌍 Location & Work Environment

Office Type: Fully Remote (Work from Home)

Office Location(s): India (Remote)

Geographic Context:

• India has a large and growing data analytics industry, with numerous opportunities for career growth and development.
• The remote work arrangement allows for greater flexibility and work-life balance.
• The time zone difference with the company's headquarters in the US may require some overlap in working hours.

Work Schedule: Full-time (40 hours/week) with flexible hours

ASSUMPTION: The fully remote work arrangement may require strong self-motivation and time management skills to maintain productivity and focus.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment or case study
• Final round interview with the hiring manager or data analytics team

Key Assessment Areas:

• Data analysis and interpretation skills
• Problem-solving and critical thinking
• Communication and presentation skills
• Cultural fit and alignment with company values

Application Tips:

• Highlight relevant data analysis and marketing experience in your resume
• Tailor your cover letter to demonstrate your understanding of the role and company
• Prepare for behavioral and situational interview questions related to data analysis and marketing
• Be ready to discuss your approach to data-driven decision-making and problem-solving

ATS Keywords: Data Analysis, SQL, Python, Marketing, Business Intelligence, Dashboard, Reporting, Campaign Performance, Customer Segmentation, Data Modeling, ETL, Attention to Detail, Communication Skills, Collaboration, Machine Learning, Predictive Modeling, Project Management, Business Acumen

ASSUMPTION: The interview process for this role will likely focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit within the data analytics team.

🛠️ Tools & Technologies

• SQL
• Python
• Tableau
• Power BI
• Looker
• Excel or Google Sheets

ASSUMPTION: The candidate should have a strong proficiency in SQL and Python, as well as experience with data visualization tools such as Tableau, Power BI, or Looker.

👔 Cultural Fit Considerations

Company Values:

• Data-driven decision-making
• Continuous learning and improvement
• Collaboration and teamwork
• Customer focus and excellence
• Integrity and accountability

Work Style:

• Fast-paced and dynamic
• Results-oriented and actionable
• Data-driven and analytical
• Collaborative and team-focused
• Adaptable and flexible

Self-Assessment Questions:

• Do you have a strong passion for data-driven problem-solving and decision-making?
• Are you comfortable working in a fast-paced, dynamic environment?
• Do you thrive in a collaborative, team-focused work environment?
• Are you adaptable and able to quickly learn new tools and technologies?
• Do you have a strong customer focus and commitment to excellence?

ASSUMPTION: Marrina Decisions values data-driven decision-making, continuous learning, and collaboration. Candidates who align with these values and work styles will likely be a strong fit for the company's culture.

⚠️ Potential Challenges

• Working with large datasets and complex data structures may require significant time and effort to clean and prepare data for analysis
• The fully remote work arrangement may present challenges in maintaining productivity and focus
• The time zone difference with the company's headquarters in the US may require some overlap in working hours
• The fast-paced and dynamic work environment may be challenging for candidates who prefer a more structured or predictable work environment

ASSUMPTION: These challenges can be mitigated by strong self-motivation, time management skills, and a willingness to adapt to a dynamic work environment.

📈 Similar Roles Comparison

• This role is similar to a Data Analyst - Marketing role, with a focus on data-driven decision-making and marketing campaign optimization
• Compared to other data analyst roles, this position requires a strong understanding of marketing metrics and a passion for process improvement
• Career progression in this role may lead to senior data analyst or data analytics manager positions within the company

ASSUMPTION: This role offers unique opportunities for career growth and development within the data analytics team at Marrina Decisions.

📝 Sample Projects

• Analyzing customer segmentation data to identify high-value customer segments and develop targeted marketing campaigns
• Developing and implementing a predictive modeling framework to forecast marketing campaign performance and optimize resource allocation
• Creating interactive dashboards and reports to communicate marketing campaign performance and key insights to stakeholders

ASSUMPTION: These sample projects demonstrate the range of data analysis and marketing optimization opportunities available in this role.

❓ Key Questions to Ask During Interview

• Can you describe the data analytics team's structure and how this role fits within the organization?
• What are the most pressing data analysis challenges facing the marketing team, and how can this role help address them?
• How does Marrina Decisions support the professional development and growth of its data analytics team members?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does Marrina Decisions foster a culture of collaboration and teamwork within its data analytics team?

ASSUMPTION: These interview questions will help the candidate better understand the role's responsibilities, the team's dynamics, and the company's commitment to professional development and growth.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight your relevant data analysis and marketing experience
• Write a cover letter demonstrating your understanding of the role and company
• Prepare for the interview by researching the company and practicing common data analysis and marketing interview questions
• Follow up with the hiring manager or HR representative within one week after submitting your application

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