Marketing Analyst

📌 Core Information

🔹 Job Title: Marketing Analyst

🔹 Company: Weis Markets

🔹 Location: Sunbury, Pennsylvania, United States

🔹 Job Type: On-site

🔹 Category: 📊 Marketing Analyst

🔹 Date Posted: Wed Apr 02 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Managing and analyzing data to ensure accuracy
• Utilizing data-driven storytelling to influence decisions
• Creating dashboards for self-service data analysis
• Designing research projects to improve performance

ASSUMPTION: This job is primarily focused on data analysis within marketing contexts. The role appears to integrate quantitative skills with strategic marketing insights.

📋 Key Responsibilities

✅ Manage and analyze data to ensure accuracy.

✅ Influence stakeholder decisions through data insights.

✅ Provide measurement reporting and ad hoc reports.

✅ Create and refine data sets for analysis through dashboards.

✅ Optimize data segmentation for targeted marketing campaigns.

✅ Identify improvement opportunities by analyzing metrics.

✅ Create and test marketing campaigns based on opportunities identified.

✅ Design research projects to analyze marketing metrics for performance improvement.

✅ Analyze competitive activity to develop marketing strategies.

✅ Conduct market research to evaluate brand perceptions.

✅ Utilize data and research for growth opportunities.

ASSUMPTION: It is assumed that this role does not have supervisory responsibilities, focusing instead on analytical tasks and project design.

🎯 Required Qualifications

Education: Bachelor's degree in Marketing, Business, or a related field.

Experience: At least three years' experience in analysis within Accounting, Finance, or Marketing roles.

Required Skills:

• Data Analysis
• Data-Driven Storytelling
• Dashboard Creation
• Statistical Inference
• Communication Skills

Preferred Skills:

• Advanced proficiency in data segmentation tools
• Experience with competitive analysis and market research

ASSUMPTION: The job requires a blend of technical proficiency in data analysis and soft skills for effective stakeholder communication and decision-making influence.

💰 Compensation & Benefits

Salary Range: Not specified, but typically competitive within the industry.

Benefits:

• Health Insurance
• Retirement Plans
• Career Development Opportunities

Working Hours: 40 hours per week, likely Monday through Friday.

ASSUMPTION: The compensation package will include standard industry benefits and opportunities for career growth.

📌 Applicant Insights

🔍 Company Context

Industry: Retail and Marketing, focusing on grocery and consumer goods.

Company Size: 11-50 employees, indicating a tight-knit working environment potentially offering varied responsibilities and flexibility.

Founded: Not specified, but Weis Markets has been a longstanding player in its market.

Company Description:

• Commitment to employee respect and teamwork
• Focus on community growth and appreciation
• Innovative in marketing strategies and operations

Company Specialties:

• Data-driven marketing strategies
• Comprehensive market analysis and reporting
• Targeted marketing campaigns

Company Website: https://www.weismarkets.com/

ASSUMPTION: The company likely emphasizes tradition and customer relations given its roots in the retail sector, which affects its marketing strategies.

📊 Role Analysis

Career Level: Mid-level, suitable for individuals with a solid analytical background looking to leverage their skills in a marketing setting.

Reporting Structure: Reports to the Marketing Director or Manager and collaborates with other marketing team members.

Work Arrangement: On-site, fostering direct interaction and collaboration.

Growth Opportunities:

• Advancement to senior analytical roles
• Opportunities to lead larger projects
• Cross-departmental collaboration enhancing skill diversity

ASSUMPTION: This role provides a platform for career growth through hands-on project involvement and teamwork.

🌍 Location & Work Environment

Office Type: Corporate office setting with collaborative workspaces.

Office Location(s): Sunbury, PA; secondary office in Milton, PA.

Geographic Context:

• Located in a suburban region conducive to a work-life balance
• Accessible to major transportation routes
• Proximity to amenities and services for professionals

Work Schedule: Standard business hours, suggestive of a structured work environment.

ASSUMPTION: The location offers a balance of professional networking opportunities and relaxed suburban living.

💼 Interview & Application Insights

Typical Process:

• Initial application and resume screening
• Phone or online interview focusing on technical skills
• On-site interview assessing cultural fit and industry knowledge

Key Assessment Areas:

• Technical proficiency in data management
• Analytical problem-solving skills
• Ability to influence through storytelling

Application Tips:

• Highlight experience in data-driven strategies
• Demonstrate analytical achievements with metrics
• Prepare examples of past projects in marketing analysis

ATS Keywords: Marketing Analysis, Data Segmentation, Reporting Dashboards, Statistical Analysis, Customer Insights

ASSUMPTION: Understanding the data lifecycle and demonstrating insights-driven results will be crucial during the selection process.

🛠️ Tools & Technologies

• Microsoft Excel and advanced data analysis software
• Tableau or similar data visualization tools
• SQL or data querying languages

ASSUMPTION: Proficiency in both standard and advanced data tools will enhance an applicant's suitability for this role.

👔 Cultural Fit Considerations

Company Values:

• Respect for team members and community
• Commitment to teamwork and collaboration
• Innovation in marketing strategies

Work Style:

• Collaborative and open communication style
• Result-oriented with a focus on actionable insights
• Creative problem-solving approach

Self-Assessment Questions:

• How do you approach data-driven storytelling?
• Describe a time when your analysis led to a significant business decision.
• How do you manage and prioritize data for different projects?

ASSUMPTION: The ideal candidate will align with Weis Markets’ emphasis on community and continuous improvement.

⚠️ Potential Challenges

• Balancing multiple projects with competing deadlines
• Adapting quickly to new data technologies and tools
• Integrating qualitative with quantitative data effectively
• Ensuring data accuracy and integrity throughout analysis

ASSUMPTION: Candidates should be prepared for a highly dynamic and sometimes ambiguous work environment, requiring adaptability.

📈 Similar Roles Comparison

• Roles in larger firms might focus more narrowly on specific aspects of data analysis rather than holistic project management.
• Smaller firms may offer greater role diversity and ownership of projects.
• This role places greater emphasis on market analysis compared to purely financial or accounting positions.

ASSUMPTION: This position provides a comprehensive approach to marketing analytics that may not be found in more narrowly-defined roles at larger organizations.

📝 Sample Projects

• Developing dashboards for customer engagement analysis
• Designing a marketing campaign informed by competitive analysis
• Conducting a survey-based research project for brand perception

ASSUMPTION: The projects associated with this role require a mix of analytical rigor and creative problem-solving skills.

❓ Key Questions to Ask During Interview

• How does the marketing team collaborate with other departments?
• Can you describe a recent marketing strategy that was data-driven?
• What are the key metrics the marketing team focuses on?
• How is success measured for the marketing analyst role?
• What opportunities exist for professional development?

ASSUMPTION: These questions will help gauge the company's commitment to leveraging data in strategic decision-making and team dynamics.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Prepare a cover letter emphasizing relevant projects and skills
• Ensure your resume includes keywords to pass ATS screening
• Be ready to discuss your data analysis techniques in an interview
• Follow up with the hiring manager within a week of submission

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

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