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Director of Reporting & Analytics, Gartner Research

New York, New York
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Job Description:


What makes Gartner Research & Advisory a GREAT fit for you? When you join Gartner, you’ll be part of a leading-edge team that values expert insights, bold ideas and intellectual courage. You’ll deliver must-have research through compelling client interactions, and contribute to our double-digit growth by providing clients the unbiased insight and advice they need to make the right decisions every day. Through constant learning, discovery and collaboration, you’ll help clients deliver on their mission-critical priorities, grow your career and increase your industry impact. We value hard workers — and reward you with unlimited opportunity. If you’re looking to explore what’s next in technology and business, Gartner is looking for you.

We are looking for a Director of Reporting and Analytics to lead our Reporting team. In this role you will own reporting architecture, BI tools and processes, and will interact with users, data vendors, developers and stakeholders to deliver analytical solutions. You should be versatile enough to manage a team of 3-5 developers and analysts, manage development tasks, talk budgets and high level planning, make high level architecture decisions, and sometimes get down to code to solve a particularly thorny issue. This is a crucial role that will establish new capability and practices for the team and is a great opportunity to apply your experience and grow in new directions.

Some initiatives you would be working on:

  • Onboarding new data sources into our reporting/processing pipelines

  • Rolling out Tableau in the company, evangelizing the product and our datasources, governing content creation by users

  • Migrating existing reporting queries into DBT codebase

  • Migration of reporting codebase from Postgres/Redshift to Snowflake

  • Integration with our data science team, how to expose examples and consume predictions for a variety of ML models

Responsibilities:

  • Provide thought leadership on modern analytics/BI stacks, tools and processes

  • Mentoring and managing a team of 3-5 developers

  • Scoping, estimating, data modeling and rollout of new features and datasets

  • Managing the software development process for reporting team: issue grooming, estimation, code reviews, testing, CI/CD pipelines

  • Managing ad-hoc user requests

What we’d like to see in you:

  • Experience leading reporting teams, owning analytical products

  • Expert in modern SQL, experience with Redshift and Snowflake, Postgres

  • Familiarity with ETL tools such as Airflow, Spark, DBT, and of course Python

  • Experience rolling out Tableau in a company, strong product knowledge, user training, managing content

  • Marketing domain knowledge is a huge plus

  • Comfortable around disparate data, various APIs, and pipeline processes

  • Comfortable with complexity and drive to make things simpler.

  • Ability to support product team on road mapping, planning, estimating

  • Experience with modern development practices: continuous integration, scrum or agile development, distributed version control systems, test-driven development, automated deployment and provisioning

  • Strong communication skills, team mentor

About us:

We believe in tackling difficult questions/problems as a team in order to get to the best solution and we don’t hesitate to change our approach when a better idea is on the table.

We are a cross-functional team of engineers (front-end, back-end, QA, and data), product managers, and data scientists. We practice code reviews, unit and integration testing, continuous integration and delivery, agile 2 week sprints, and take pride in seeing our work through from conception to deployment and to the next better iteration.

Our Stack:

  • Our primary languages are Python and modern JavaScript (React, ES6, Redux, Babel/Webpack, SASS, Express, Node).

  • Primary data stores include S3, Postgres, Redshift, Athena, Snowflake, SQL is our lingua franca.

  • DBT(https://www.getdbt.com/) and more for ETL and data pipelines.

  • Tableau and Periscope for BI tools

  • Airflow for workflow management.

  • Docker and Kubernetes deployments triggered by GitLab CI.

  • AWS (EC2, Lambda, EKS, Kinesis, Fargate, Cloudwatch, DynamoDB, etc).

Job Requisition ID:36384

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