Mediavine is seeking an Analytics Engineer to join our Engineering team. We are looking for someone who enjoys solving interesting problems and wants to work with a small team of talented engineers on a product used by thousands of publishers.

About Mediavine

Mediavine is a fast-growing advertising management company representing over 8,000 websites in the food, lifestyle, DIY, and entertainment space. Founded by content creators, for content creators, Mediavine is a Top 20 Comscore property, exclusively reaching over 125 million monthly unique visitors. With best-in-class technology and a commitment to traffic quality and brand safety, we ensure optimal performance for our creators.

Mission & Culture

We help content creators build sustainable businesses. From educational tools and cutting-edge plugins to ad technology that maximizes earnings without slowing down your site, our motivation is ensuring your brand and business grow in every respect.

We are striving to build an inclusive and diverse team of highly talented individuals that reflects the industries we serve and the world we live in. We are committed to creating a culture where everyone feels welcomed. We are looking for individuals that will challenge us to continuously evolve and make Mediavine the employer of choice for people of all backgrounds. We strongly encourage minorities and individuals from underrepresented groups in technology to apply for this position.

Diversity and inclusion aren't platitudes to us; we take them seriously. Have a look at our team and read through our blog posts to learn more about our values and to discover if Mediavine is the place for you!

Position Title & Overview

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data here at Mediavine. We partner with Product, Support, Ad Operations and other teams within the Engineering department to understand customer and product behavior, develop accurate predictors and build solutions that provide the best internal and external experience possible.

The Analytics Engineer position bridges the gap between Data Engineer and Data Analysts working to make sure that the data we are bringing in is structured in the most efficient way to meet the needs of our consumers. They will own the transformation layer that standardizes business rules, defines data quality metrics and helps ensure the reliability of data for all teams. This position will be heavily involved in the decisions around tool selection and standards.

Our current data engineering toolkit consists of custom Python etl, Ruby On Rails legacy pipelines, AWS infrastructure including Kinesis pipelines, Rundeck scheduling, dbt for transformation and Snowflake as our data warehouse platform. We are open to new tools and expect this position to play a role in the direction we take.

Essential Responsibilities

• Centralize business logic into the transformation layer so that it occurs once and in one place when possible
• Manage the data access layer for business intelligence tools to ensure data is available, reliable and not duplicated
• Develop reporting environments for other teams that can be safely used and explored with little intervention from the Data & Analytics team
• Define data quality rule sets, alerts and testing procedures
• Work with the analysts as a first line of investigation into data issues and pull in resources as needed to get to a resolution
• Reduce redundancy throughout the data stack by consolidating objects to reduce the management overhead
• Work with the business to educate them on data availability, meaning and usage to make them better able to service their own needs
• Identify gaps in the existing data and work with data engineers to fill them

Location:

• Must currently live in the United States.

You Have:

• 5+ years of experience in a data analyst or analytics engineering role
• Extremely strong SQL skills (CTEs, window functions, optimization)
• Experience with dbt as a transformation layer in a data stack
• Experience with at least two modern BI tools (Superset, Tableau, Looker, Mode, etc.)
• Comfortable working with multi-TB cloud data warehouses (Big Query, Snowflake, Redshift)
• Experience with web analysis such as creating data structures that support product funnels, user behavior, and decision path analysis

Nice to haves:

• Experience with data science, machine learning, especially automated platforms like TensorFlow, SageMaker, etc.
• Experience with Google Analytics or other web traffic sources
• Knowledge of Ad Tech, Google Ad Manager and all of it’s fun quirks (so fun)
• The ability to make your teammates laugh (it wouldn’t hurt if you were fun to work with is what I’m saying)
• Familiarity with event tracking systems (NewRelic, Snowplow, etc)

• Remote work environment
• Travel opportunities (remember those!?)
• Comprehensive benefits including 401k, Health, Dental, and Vision insurance
• Learning allowance
• Generous Vacation/Time off policies
• Additional side benefits such as home-office upgrades, tuition reimbursement, paid gym memberships and wellness retreats, upgraded flights, cool swag and more
• Company match charitable donations

Mediavine is an Equal Opportunity Employer