Data Developer

Job Title: Manager - Sales, Comm, and Data Analytics
Job Duration: Long term contract (potential to extend or convert)
Location: Stamford, CT
Onsite: 4 days onsite, 1 day remote

Data Developer:
We are seeking a highly skilled Data Engineer/Data Analyst with deep technical expertise in SQL, ETL development, and Alteryx. This is a hands-on role supporting a team that builds and maintains complex data workflows powering critical incentive and compensation programs. The ideal candidate is an adaptable professional who thrives in a fast-moving environment and can provide both strategic support and day-to-day technical solutions.
 
Data Developer Requirements:

• 4+ years of professional experience in data engineering, data analytics, or related roles.
• Deep expertise in SQL, including complex stored procedures.
• Strong experience with ETL processes—designing, building, and maintaining pipelines to clean and aggregate data.
• Familiarity with Amazon Redshift or other cloud data warehouses.
• Ability to thrive in an agile, fast-paced, and dynamic environment, adapting priorities quickly (2–3 day turnaround on projects).
• Excellent communication skills, comfortable interfacing with both technical teams and business leaders.
• Strong problem-solving and analytical mindset—comfortable working with complex data and numbers.
   

• Hands-on experience building and supporting Alteryx workflows.
• Prior experience coaching teams through process improvement, education, and solution development.

• Experience with compensation, incentives, or payroll data.
• Charter or Telecom industries experience.
   

• Join a team of developers and analysts responsible for designing, building, and maintaining data workflows and pipelines.
• Develop, maintain, and optimize SQL stored procedures, ETL processes, and data aggregation pipelines.
• Oversee and expand Alteryx workflows to automate daily reporting and data processing; monitor and troubleshoot issues proactively.
• Support Amazon Redshift and other data warehouse environments, ensuring scalable and reliable data architecture.
• Convert complex business requirements (incentive/compensation rules) into executable logic and code for reporting and payment generation.
• Communicate regularly with business stakeholders and leadership to understand requirements, share progress, and educate teams on data solutions.
• Deliver projects end to end: requirements gathering, development, testing, deployment, and post-launch support.
• Maintain a proactive approach to issue identification, resolution, and escalation when needed.