Axiom Pro is a leading recruiting and outstaffing company. One of our valued partners, a prominent U.S.-based provider of trusted life insurance solutions, is dedicated to ensuring financial security and delivering exceptional service. Serving over 1.6 million policyholders, the company offers innovative coverage designed to meet the needs of individuals across various life stages. Holding an A (Excellent) rating from AM Best, this organization is deeply committed to values of trust and inclusivity. The company is currently seeking a Business Intelligence and Marketing Analyst who will be responsible for deriving actionable insights and strategic guidance to support the marketing efforts of AAA Life’s product portfolio. This individual will work alongside marketing teams, data specialists, and analysts to define business challenges, gather the necessary data, perform in-depth analysis, and provide clear, data-driven recommendations. Expertise in SQL, Python or R, and proficiency with visualization tools such as Power BI or Tableau are essential to succeed in this role.
Responsibilities
– Design, build, and automate user-friendly dashboards (Power BI or similar) to support data-driven decision-making.
– Develop data quality frameworks and standardized reporting templates.
– Conduct customer segmentation analysis and advanced marketing analytics.
– Perform modeling decile analyses and provide insights to support strategic planning.
– Track marketing initiatives and produce full campaign performance analysis.
– Compare campaign results against forecasts and identify opportunities for improvement.
– Improve dashboard efficiency and increase the impact of analytical insights.
– Automate reporting processes and reduce time required to deliver insights.
– Collaborate with marketing stakeholders to identify business questions and analytical needs.
– Perform data analysis and deliver actionable recommendations.
– Work with data teams to ensure data quality, completeness, and accuracy.
– Design and conduct hypothesis testing (A/B testing and multivariate testing).
– Maintain structured documentation of data sources, methodologies, and results.
– Identify automation opportunities in existing analytics workflows.
– Support data scientists and modelers when advanced modeling is required.
– Participate in innovation and optimization initiatives that improve business performance.
Requirements
– Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Business Analytics, or related field.
– 5+ years oStrong SQL skills for data extraction and analysis.
– Proficiency in Python or R for data analysis.
– Experience with data visualization tools (Power BI, Tableau, or similar).
– Experience with cloud platforms such as AWS, Azure, or Google Cloud.
– Familiarity with big data technologies (Spark, Hadoop).
– Understanding of machine learning frameworks and AI/ML platforms.
– Experience using version control systems such as Git.
– Experience designing automated reporting solutions and dashboards.f experience in business analytics or marketing analytics.
– Strong experience with hypothesis testing and experimental design.
– Experience conducting A/B testing and multivariate testing for marketing campaigns.
– Understanding of marketing metrics and KPIs.
– Experience implementing automated tracking and analytics solutions.
– Knowledge of non-parametric statistics, resampling methods, or Bayesian approaches.
– Experience with sequential testing or multi-armed bandit approaches in marketing analytics.
– Knowledge of data governance, privacy regulations (GDPR, CCPA), and data security practices.
– Strong analytical and problem-solving skills.
– Ability to communicate complex analytical findings clearly to technical and non-technical audiences.
– Ability to balance strategic thinking with detailed execution.
– Strong collaboration and teamwork skills.
– Excellent attention to detail and documentation practices.
– Self-starter mindset with the ability to prioritize high-impact tasks.
Preferred Experience:
– Master’s degree in Statistics, Mathematics, Data Science, or Business Analytics.
– Experience in the insurance or financial services industry.
– Experience applying Generative AI in marketing analytics.
– Experience with ETL processes and data warehouse concepts.
– Knowledge of marketing attribution models and campaign performance metrics.
– Experience with Agile methodologies.
– Experience working with direct marketing and digital marketing operations.
Mandatory Skills
– SQL
– Python
– Digital Marketing
– Statistics
– Business Analytics
– Business Intelligence (BI)
– Data Analysis
Mandatory Languages
– English
Working Day
– Full Time Job
Working Conditions
– Monthly payments on Payoneer/PayPal/crypto;
– Working schedule: Monday to Friday.
– The standard working day is 8 hours, with maximum overlap with the Eastern Time Zone expected during the working hours.
– The position is offered as a freelance contract.
– Days off and vacations are granted upon prior approval from the employer.