Senior Manager of Data & Analytics Gerente

What we’re looking for

The senior manager of data and analytics role is a pivotal one. Analytics managers lead full-stack data teams (data engineers, analytics engineers, and data analysts) in delivering valued data capabilities for the company’s clients. They are responsible for the direction, growth, and wellbeing of their team, as well as for the analytics success and satisfaction of their clients and Like to think about the “why” in addition to the “how”

Experience:

Practice a management style based on empowerment and trust and Look forward to being exposed to a variety of companies, business challenges, and tools
Can communicate with clarity in English, both verbally and in writing
Recruited, trained, supervised and supported the development of team members in data and analytics functions and Worked collaboratively with cross-functional teams and stakeholders to achieve organizational goals.
Translated business questions into analytical requirements and Guide a team in the successful and timely execution of project deliverables providing project, technical, and career mentorship.
Honed your SQL best practices by working with tools like dbt, Amazon Redshift, Google BigQuery, or Snowflake, BI best practices through experience with tools like Looker, Tableau, Mode, or Periscope/Sisense for Cloud Data Teams.
Responsibilities

Lead a team of three or more data specialists on client engagements, helping the clients select and report on key business metrics such as CAC, LTV, retention, and churn.
Collaborate with clients to plan for analytics needs for a product or feature launch with a plan and execute projects with client impact, pace of delivery, and engagement economics in mind.
Guide the construction of data models (in dbt) to support reporting and analysis and Pair with a teammate or with someone at a client on strategies for solving an analytical problem
Mentor team members in the company or at a client, leading sprint planning, reviews, and retrospectives with team and/or stakeholder.
Contribute to internal and externally facing resources for data teams (e.g. add to internal wiki, write a blog post, etc.)
What to expect from the screening process

Kickstart questions – If you decide to apply, you’ll share some written answers to questions that will help us understand how your experience and interests map to what we need to grow the team.
Phone screen – You’ll speak to a manager of the company
Work on problems that reflect the job – You’ll submit your responses to a set of exercises designed to reflect the technical and communication skills you’ll need on the job. We hope it both gives us a sense of your skills and you a sense of day-to-day work. We’ll pay you a stipend for your time so that the time (a few hours) doesn’t create an unfair barrier for any applicants.
Chat with your potential future co-workers by phone or Zoom – You’ll chat for about an hour with a few of the people you’ll be working with. We’ll share our key questions in advance, because we want to level the introvert / extrovert playing ground, to have you as much at ease as possible, and to make the best possible use of our time together. You’ll also have some time to ask questions of the team.
Chat with Scott – Meet the founder!
References – We’ll ask to hear from a few people who can speak to what it’s like to work with you. And with your permission, we’ll run a third-party background check.
The Final decision -If you’re selected, we’ll make an offer and open the avenues for communication with our team members to support you in making your decision. If you’re not selected in the current round, we promise to give you some context as to why not, if you’d find that useful. Keep in mind that we’re growing, and we expect there to be many future opportunities!