Analytics Engineer

Company Overview: 

Privately owned and operated, Digible was founded in 2017 with a mission to bring sophisticated digital marketing solutions to the multifamily industry.  We offer a comprehensive suite of digital services as well as a predictive analytics platform, Fiona, that is the first of its kind.

At Digible, Inc. we love to celebrate our diverse group of hardworking employees – and it shows. We pride ourselves on our collaborative, transparent, and authentic culture. These values are pervasive throughout every step of a Digible employee's journey. Starting with our interviews and continuing through our weekly All Hands Transparency Round-up, values are at the heart of working at Digible.

We value diversity and believe forming teams in which everyone can be their authentic self is key to our success. We encourage people from underrepresented backgrounds and different industries to apply. Come join us and find out what the best work of your career could look like here at Digible.

The Role:

Here at Digible we are building the future of Digital Marketing for the Multifamily industry. We are building a set of technologies, named Fiona, which helps marketers become more efficient at Digital Marketing through the use of cutting-edge technologies, programming, the cloud, and Artificial Intelligence.

The role will be part of Data & Analytics (DNA). The DNA department manages the collection, integration, transformation, storage of data, and analytics and data science for our Agency and SAAS product, Fiona. The Analytics Engineer will collaborate with DNA’s Data Scientist and Business Intelligence Analyst to understand and gather data modeling requirements and coordinate with Data Engineers to meet the requirements. Additionally, the Analytics Engineer will create reusable data assets in a semantic business layer ready for Business Intelligence and model features.

You’ll love this job if you:

• You love working with data, and are looked at as data stewardess
• You have a meticulous attention to detail, and a commitment to accuracy
• You are great at building data marts and schemas that unify data for analytics
• You have an insatiable appetite data stewardship and democratization
• You rock dimensional data modeling and understand ETL concepts
• You like to take charge of projects and have a strong sense of responsibility for the success of the project
• You have a customer first mentality and truly spend time to understand the needs of the business
• Loves working as a team - You naturally think “we” instead of “I”

What you’ll do:

• Work with the business, Business Intelligence Analyst, and Data Scientist to gather requirements to develop transformations and tables needed for reporting and model features
• Design & plan the architecture for semantic layer utilizing a fact/dimension based data model to unify data to support the wider business
• Build data models and transformations required for model features in product applications
• Develop transformation in dbt utilizing SQL & YAML to generate the necessary tables and schemas in Snowflake
• Build appropriate rule based KPI alerting to be used in Business Intelligence & broadcasting across slack, email, etc.
• Setup tests in dbt, and monitor and resolve bugs
• Apply software engineering best practices for deployment and version control
• Manage Data Warehouse users and security
• Enable data governance and democratization by building & maintaining a data dictionary, lineage, and data quality monitoring/reporting
• Assist Business Intelligence Analyst with developing reports and dashboards

You should have:

• Advanced SQL experience and database design with an emphasis on BI and Data Science with 3+ years of experience
• 1+ year utilizing dbt in a modern data stack
• Strong understanding of advertising API’s, data structure, and derived metrics, e.g. Google Analytics/GA4, Google Ads, Facebook Ads, etc. 
• Intermediate to advanced object-oriented programmer with 3+ years of Python experience
• Capable of working with big data sets from design to execution including structured and unstructured text
• Able to demonstrate advanced computer and analytical skills with particular knowledge and understanding of the following storage, computing, and business intelligence tools:
• Snowflake, BigQuery, Redshift, or equivalent cloud-based OLAP/OLTP environments
• Dbt
• Quicksight (preferred),Tableau, Looker, Sisense, or Power BI
• Experience with tools for data reliability, data quality, alerts (Great Expectations, Monte Carlo, Atlan, or similar)
• Experience with Airflow, Prefect, AWS Glue, or similar tools for workflow orchestration
• Knowledge and working experience with Software Engineering development and deployment practices, CI/CD, Cron, and Docker
• Sprint, Scrum, and/or Kanban experience with comfort level to work in iterative product driven cycles

Our general interview process is outlined HERE.

Core Values:

Authenticity - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.

Curiosity - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.

Focus - The collective will to remain completely devoted and ultimately accountable to our deliverables.

Humility - The recognition and daily practice that "we" is always greater than "I".

Happiness - The decision to prioritize passion and love for what we do above everything else.

Pay, Perks and Such:

• Annual Salary of $85,000 - $115,000
• 4-Day Work Week (32 Hour Work Week)
• WFA (Work From Anywhere)
• Profit Sharing Bonus
• Research and Development budget
• Training budget
• We offer 3 weeks of PTO as well as Sick leave, and Bereavement. 
• We offer 11 paid holidays (New Years Eve, New Years Day, MLK day, Memorial Day, Independence Day, Labor Day, Day before Thanksgiving, Thanksgiving, Day after Thanksgiving, Christmas Eve, and Christmas) 
• 401(k) + 5% employer match
• 75% employer paid health benefits, including Medical, Dental, and Vision. 
• We provide $75/ month reimbursement for Physical Wellness 
• We provide $75/ month reimbursement for Mental Wellness
• $1000/year travel fund for employees who have been with Digible 3+ years
• Monthly subscription for financial wellness 
• Dog-Friendly Office
• Paid Parental Leave
• Company Sponsored Social Events
• Company Provided weekly lunches and snacks for in office employees
• Employee Development Program