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Tech Lead (Professional Services)

fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
65 - 65K yearly
Experience: 
Mid-level (2-5 years)

Offer summary

Qualifications:

Minimum 3 years in SaaS technical leadership, Expert proficiency in SQL and Python, Strong experience with BI tools like Tableau or Power BI, Knowledge of cloud data platforms like Google BigQuery or AWS, Familiarity with marketing automation tools.

Key responsabilities:

  • Lead development of advanced data modeling strategies
  • Supervise and mentor Professional Services Data Analysts
  • Review and refine project delivery methodologies
  • Provide technical expertise in client engagements
  • Troubleshoot issues and define solutions for customers
Improvado logo
Improvado Madtech: Marketing + Advertising + Technology Scaleup https://www.improvado.io/
51 - 200 Employees
See more Improvado offers

Job description

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

  • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Madtech: Marketing + Advertising + Technology
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Coaching
    • Motivational Skills
    • Troubleshooting (Problem Solving)
    • Verbal Communication Skills
    • Analytical Skills

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