Tech Lead (Professional Services)
Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
As a rapidly scaling Series A startup that raised $34 million in funding, we're 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.
The Professional Services Tech Lead is pivotal in delivering complex SaaS solutions, focusing on building innovative data and attribution models. This role involves supervising and upskilling data analysts and engagement leads, continuously revising approaches, and implementing improvements to enhance service quality and efficiency.
Responsibilities
Lead the development and implementation of 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.
Actively 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.
Qualifications
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.
What We Offer
Remote-first environment
27 days of PTO per year
US holidays and additional days off
Extremely fun & open startup environment
Professional development reimbursement
Apply Now
As a rapidly scaling Series A startup that raised $34 million in funding, we're 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.
The Professional Services Tech Lead is pivotal in delivering complex SaaS solutions, focusing on building innovative data and attribution models. This role involves supervising and upskilling data analysts and engagement leads, continuously revising approaches, and implementing improvements to enhance service quality and efficiency.
Responsibilities
Lead the development and implementation of 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.
Actively 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.
Qualifications
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.
What We Offer
Remote-first environment
27 days of PTO per year
US holidays and additional days off
Extremely fun & open startup environment
Professional development reimbursement
Apply Now