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Data Analyst, Marketing Services

Data Analyst, Marketing Services

AmsiveNew York, NY, US
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Who We Are At Amsive, we're more than just a performance marketing agency; we're a team that thrives on collaboration and innovation.

We offer a supportive environment where personal growth is just as important as professional development.

We're a team of passionate individuals ready to tackle challenges, learn from one another, and drive results.

We believe in empowering our team members, providing them with the tools they need to succeed, and trusting them to lead the way.

With decades of expertise and a commitment to integrated solutions, we don't meet the industry standard; we're setting it.  If you're looking for a place where your work matters, a career path you can grow on your terms, and a team that's as invested in your success as you are, Amsive is for you.

We offer a unique blend of flexibility, growth opportunities, and a culture that values each individual.

Join us, and be part of the team ready to welcome, support, and grow with you.

  • We regret to inform you that currently, Amsive DOES NOT provide sponsorship opportunities.
  • This is a REMOTE position.

Candidates can be located anywhere in US time zones.

C andidates will be required to work ET or CT time zone.  New York Metropolitan area is a plus.

  • What we are looking for :
  • Amsive is looking for a Data Analyst, Marketing Services to join the team and drive the technical execution of marketing campaigns through advanced data analysis, coding, and technical expertise.
  • This role involves leveraging PySpark notebooks and Spark SQL to analyze customer data, perform custom coding to support campaign needs, and ensure accurate data processes.

    • The ideal candidate will combine strong analytical skills with technical proficiency to deliver actionable insights and support data-driven marketing strategies.   What you will be doing :

  • Analyze and execute technical marketing campaign development using PySpark notebooks and Spark SQL.  Perform custom coding to address specific campaign and data analysis requirements.  Manage and analyze customer data, ensuring accuracy through master data management, identity resolution, and householding processes.  Develop actionable insights from large datasets to optimize marketing strategies.  Collaborate with internal digital marketing and data teams to align on campaign goals and data-driven decision-making.  Create automated reports, dashboards, and data visualizations to inform strategic decisions and communicate findings to managers and key stakeholders.  Stay informed of industry trends and best practices, focusing on how changes can help improve offerings to accounts, and sharing knowledge with team members.  Who you are :   1-4 years of experience in data analytics or development  Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a similar field.  Demonstrated experience using PySpark and Spark SQL to segment, manipulate, and analyze large datasets.  In-depth knowledge of customer data management principles, including master data management, identity resolution, and householding.  Hands-on experience with Microsoft Fabric or comparable cloud-native data platforms (e.g., Databricks, Synapse, AWS, GCP, Azure) used for scalable analytics and data engineering.  A proven track record of using custom coding to overcome complex data and analytical hurdles.  Excellent problem-solving and communication skills for effective collaboration with marketing and data teams.  Experience working with marketing campaign data, analysis, and customer segmentation is preferred.  Familiarity with marketing platforms (e.g., CRM, CDP, or DMP systems) is preferred.  Experience with or knowledge of source control systems such as Azure DevOps or Git is preferred.   Familiarity with data visualization tools such as Power BI or Python-based libraries (e.g., matplotlib, seaborn, plotly) for exploratory analysis and stakeholder reporting is preferred.  Knowledge of advanced marketing analytics techniques, such as attribution modeling or predictive analytics is preferred.  Other Duties : Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.
  • Duties, responsibilities and activities may change at any time with or without notice.
  • If you need any assistance seeking a job opportunity at Amsive, or if you need reasonable accommodation with the application process, please call (331) 318-7800.
  • Amsive is proud to be an Equal Opportunity Employer.
  • We are committed to building a supportive and inclusive environment for all employees.  It is Amsive’s continuing policy to provide equal employment opportunity and not to discriminate on the basis of race, color, religion, pregnancy or childbirth, marital status, national origin, ancestry or citizenship status, age, disability, sex, sexual orientation, gender identity, veteran status or any other characteristic protected by applicable federal, state or local laws.
  • This policy applies to all aspects of employment, including (but not limited to) application for employment, recruiting, hiring, compensation, benefits, promotions and transfers, training, layoffs, rehires, termination of employment and all other terms and conditions of employment.
  • As part of the Company's equal employment opportunity policy, Amsive will also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces service medal veterans, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities.   Powered by JazzHR
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