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.
• Follow all Nahan Safety and Quality policies and procedures.
• Support 6S initiatives as required.

Requirements

• 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 with Microsoft data stack (Power BI, SQL Server) and/or Snowflake preferred
• Experience in direct marketing, insurance, or financial services industries preferred
• Python or other programming experience is a plus
• 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

Preferred

• Experience in direct marketing, insurance, or financial services industries 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 & Profit Sharing with Employer Match
• Vacation/Holiday
• Sick & Safe Time (where applicable by state)