Marketing & Analytics Specialist

About the role

The Marketing Analytics Specialist sits at the intersection of marketing analytics and data science, responsible for transforming complex data into actionable insights that drive campaign performance and business outcomes. This role goes beyond standard reporting to uncover key drivers of success, develop predictive insights, and communicate findings through clear, visual storytelling. The position supports strategic client programs, particularly within insurance and financial services, and will evolve to own analytical strategy and execution.

Responsibilities

• Consolidate campaign data from multiple sources into comprehensive monthly and quarterly reports to evaluate overall program performance.
• Develop and maintain intuitive dashboards and visualizations using tools such as Power BI and Excel to communicate insights to non-technical stakeholders.
• Perform data validation and integrity checks to ensure accuracy and identify inconsistencies or gaps.
• Conduct in-depth analysis using SQL to uncover trends, relationships, and performance drivers.
• Design and evaluate experiments, including test cell sizing and incrementality measurement using holdout groups.
• Translate complex analytical findings into clear business insights, including impact on ROI and cost efficiency.
• Apply predictive and statistical techniques, including machine learning, to enhance forecasting and optimization efforts.
• Collaborate with internal teams and stakeholders to align analytics with business objectives.

Requirements

• Strong analytical and problem-solving skills with a “trust but verify” approach to data.
• Advanced proficiency in Microsoft Excel and data visualization tools (e.g., Power BI).
• Ability to present complex data in a clear, concise, and visually compelling manner.
• Strong SQL skills, including writing complex queries and working with relational databases.
• Understanding of marketing and financial performance metrics (e.g., ROI, conversion rates).
• Ability to work independently in a fast-paced, dynamic environment with shifting priorities.
• Strong attention to detail and commitment to data accuracy.
• Proficiency in the English language, verbally and written.

Skills and Abilities

• Strong analytical and problem-solving skills with a “trust but verify” approach to data.
• Advanced proficiency in Microsoft Excel and data visualization tools (e.g., Power BI).
• Ability to present complex data in a clear, concise, and visually compelling manner.
• Strong SQL skills, including writing complex queries and working with relational databases.
• Understanding of marketing and financial performance metrics (eROI, conversion rates).
• Ability to work independently in a fast-paced, dynamic environment with shifting priorities.
• Strong attention to detail and commitment to data accuracy.
• Proficiency in the English language, verbally and written.

Qualifications

• Bachelor’s degree in Data Analytics, Marketing, Statistics, Computer Science, or related field preferred.
• Minimum of 2 years of experience in data analytics, marketing analytics, or marketing science.
• Experience in direct marketing, insurance, or financial services industries preferred.
• Experience with Microsoft data stack (Power BI, SQL Server) and/or Snowflake preferred.
• Python or other programming experience is a plus.

Benefits

• Medical
• Dental
• Vision
• 100% Employer Paid Life Insurance
• 100% Employer Paid Short Term & Long-Term Disability Insurance
• Other Voluntary Employee Benefits i.e. (Accident & Critical Illness)
• 401K with Employer Match
• Vacation/Holiday Sick & Safe Time (where applicable by state)

Pay

Base pay is $90,000-$120,000 per year, commensurate with experience and qualifications. Candidates outside the posted range are encouraged to apply, as qualifications and market factors may influence consideration.

Schedule

The role operates in a hybrid office environment with occasional exposure to a Manufacturing environment.