Data Engineering Leader
hace 4 semanas
About Improvado Inc.
We are a rapidly scaling Series A startup that has raised $34 million in funding, proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth.
As an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, we aim to automate complex marketing intelligence and reporting to make decisions with ease. We gather, organize, and untangle marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, deliver laser-focused insights to optimize budgets, enhance campaign efficiency, and marketing ROI.
The RoleWe are seeking a highly skilled Professional Services Tech Lead to join our team. This role involves supervising and upskilling data analysts and engagement leads, continuously revising approaches, and implementing improvements to enhance service quality and efficiency.
Key Responsibilities:- Develop and implement advanced data modeling and attribution strategies that align with client objectives.
- Supervise and mentor a team of Professional Services Data Analysts and Engagement Leads, focusing on skill enhancement and professional growth.
- Review and refine existing project delivery methodologies and analytics solutions to drive innovation and improve client satisfaction.
- Serve as a technical expert in client engagements, providing deep insights and strategic guidance to ensure project success.
- Meet with customers, define approaches, troubleshoot issues, and explain solutions.
- Minimum of 3 years of experience in a technical leadership role within a SaaS environment, with a proven track record in data engineering and analytics.
- Expert proficiency in SQL and Python (or another programming language).
- Strong experience with BI tools such as Tableau, Power BI, or Looker Studio.
- Comprehensive knowledge of cloud data platforms like Google BigQuery, Snowflake, or AWS.
- Demonstrated ability to develop and refine Attribution models, Marketing Mix Modeling (MMM), and other analytical frameworks Incrementality.
- Proficient in ETL processes, knowledge of dbt, kimble modelling, SQL-mech.
- Familiarity with marketing automation and CRM tools such as Marketo, Pardot, Salesforce, or HubSpot.
- Excellent communication and team coaching skills.
- Strong analytical, problem-solving, and project management skills.
- A remote-first environment.
- 27 days of PTO per year.
- US holidays and additional days off.
- An extremely fun & open startup environment.
- Professional development reimbursement.
Estimated Salary: $120,000 - $180,000 per year.
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