Mid Level Marketing Data Analyst Jobs
Mid level marketing data analyst jobs call for analysts ready to own campaign measurement end to end, translate findings into strategic recommendations, and guide junior teammates with limited oversight. Roles are spread across Technology & Software, Banking & Financial Services, and Education, with a strong mix of remote and hybrid options, and employers like Apple, Jamf Software, and RiseIT Solutions hiring at this level now.
Find JobsOverview
Showing 5 of 8+ Mid Level Marketing Data Analyst jobs
Are you a data-driven problem solver with a passion for uncovering insights? We're seeking a skilled Data Analyst to join our team and help us make data-driven decisions that drive our business forward.
As a Data Analyst, you will play a critical role in transforming raw data into actionable insights. You will leverage your expertise in statistical analysis, data mining, and business intelligence to identify trends, patterns, and opportunities.
The right candidate for this role combines knowledge of marketing, SQL, attention to detail, marketing metrics and a passion for process improvement, and a commitment to completing projects on time. This is for one of our premium clients in the US region and you can get a chance to work with the most brilliant and innovative teams from the comfort of your home office. If you thrive in a fast-paced environment and are excited to make a significant impact, we encourage you to apply.
What You'll Do:
- 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.
What You'll Need:
- 3+ years of experience in data analysis and business intelligence.
- 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 & accuracy in reporting
- Comfortable to work across teams and seek alignment to help maintain a best-in-class marketing operations framework
- Collaborative and highly communicative with team, peers, partners & 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.)
Desired Skills and Experience
- 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.
Marrina Decisions is an Equal Opportunity Employer
Marrina Decisions offers
Health Benefits, Paid Vacation, Paid Holidays, Paid Sick Time, Ongoing Training programs, and opportunities to learn and grow in the MarTech world.
Are you a data-driven problem solver with a passion for uncovering insights? We're seeking a skilled Data Analyst to join our team and help us make data-driven decisions that drive our business forward.
As a Data Analyst, you will play a critical role in transforming raw data into actionable insights. You will leverage your expertise in statistical analysis, data mining, and business intelligence to identify trends, patterns, and opportunities.
The right candidate for this role combines knowledge of marketing, SQL, attention to detail, marketing metrics and a passion for process improvement, and a commitment to completing projects on time. This is for one of our premium clients in the US region and you can get a chance to work with the most brilliant and innovative teams from the comfort of your home office. If you thrive in a fast-paced environment and are excited to make a significant impact, we encourage you to apply.
What You'll Do:
- 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.
What You'll Need:
- 3+ years of experience in data analysis and business intelligence.
- 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 & accuracy in reporting
- Comfortable to work across teams and seek alignment to help maintain a best-in-class marketing operations framework
- Collaborative and highly communicative with team, peers, partners & 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.)
Desired Skills and Experience
- 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.
Marrina Decisions is an Equal Opportunity Employer
Marrina Decisions offers
Health Benefits, Paid Vacation, Paid Holidays, Paid Sick Time, Ongoing Training programs, and opportunities to learn and grow in the MarTech world.
See All 8 Mid Level Marketing Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Marketing Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Education
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
Mid Level Marketing Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level marketing data analyst job?
Position your existing work around ownership and impact: highlight campaigns you measured independently, dashboards you built from scratch, and decisions your analysis directly shaped. Tailor your resume to show depth in at least one channel or platform, such as paid search, email, or social attribution. Recruiters at this level want proof you can run an analysis without hand-holding, so quantify outcomes wherever possible.
Which companies hire mid level marketing data analysts?
Companies hiring mid level marketing data analysts right now include Apple, Jamf Software, and RiseIT Solutions, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers direct-to-consumer brands, media companies, and technology platforms that rely on continuous campaign optimization and audience measurement.
Are there remote mid level marketing data analyst jobs?
Yes, remote and hybrid options are widely available at this experience level. About 75% of mid level marketing data analyst openings are remote or hybrid as of August 2026, reflecting how readily employers distribute analytical work across locations. Filtering by work setting on Migrate Mate lets you see which current openings match your preferred arrangement.
How do I move up to a mid level marketing data analyst role?
The path from entry level to mid level is built through deepening ownership over time: moving from executing assigned analyses to designing the measurement approach yourself, mastering at least one analytics platform thoroughly, and demonstrating that your findings changed a decision or budget allocation. Consistently documenting the business impact of your work, and taking on cross-functional projects, signals readiness to hiring managers evaluating you for mid level roles.
Which industries hire the most mid level marketing data analysts?
Mid Level marketing data analyst roles concentrate in Technology & Software, Banking & Financial Services, and Education, based on current listings on Migrate Mate as of August 2026. These sectors drive the strongest hiring because they run high-volume, data-intensive campaigns where accurate attribution and performance measurement directly influence significant budget decisions.